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Computer Science Education: Innovation & Technology (CSEIT 2010)

Academic Conferences - Computer Science Education: Innovation & Technology (CSEIT 2010)
Academic Conferences

By : Global Science & Technology Forum

Date : 2010

Location : Thailand / Phuket

PDF 209p
Description :

The conference focus on the change and progress in computer education. As computing evolves, so does Computer Science as a discipline.

Keywords :

Extreme Programming; computer science learning, education, Assessment, student feedback, video screen capture, teaching video technologies, problem-based learning, collaborative teaching and learning, knowledge management, teaching software, service system, Physical Education, E-learning, sports skill, exercise rule, injury treatment, Computer competency; Office Applications;Vocational Education;

Keywords inside documents :

students ,learning ,computer ,knowledge ,education ,model ,technology ,based ,class ,system ,thinking ,software ,emergency ,teaching ,student ,network ,programming ,skill ,learners ,science

Product/ documentation details
Using Robot Soccer Game To Teach Advanced Computer Science Concepts

Company Description : Robotics has been used extensively in teaching undergraduate Computer Science courses. In this paper we investigate ways to use “intelligent” behavior of robots as a platform to teach advanced computer science concepts in computer vision and program design. We selected robot soccer as our experimental framework. Apart from the intrinsic interest for our students, robot soccer requires advanced computer vision and design of complex behaviors. We used an advanced computer vision library and the state diagram approach for behavior design. In order to facilitate the use of computer vision algorithms for our students we develop a methodology to embed library calls in the state diagrams. To use state diagrams effectively we developed programming templates and translation methodologies for transforming state diagrams into code.

Product Type : Academic Conferences

Author : Bogdan Czejdo & Sambit Bhattacharya, Department of Mathematics a

PDF 18p

Languages : English

Conference Proceedings from Computer Science Education: Innovation & Technology (CSEIT 2010) conference.

 

To fulfill the country's objectives, a country needs to organize and improve its education systems. One area of education that has undergone profound change and significant progress is computer education. Comprehensive Education Programs have been created and implemented.

 

As computing evolves, so does Computer Science as a discipline. This puts continual pressure on Computer Science educators to review, revise and rewrite the courses and the curriculum. Educators have been rising up to the challenge, creating new courses, introducing innovative ideas and practices into existing courses, re-organizing the major and carve out minors.


 

Abstracts of papers included in The Computer Science Education: Innovation & Technology (CSEIT 2010) conference proceedings. 

 

  1. Extreme Programming in the University

Andrew Johnston, Creativity and Cognition Studios, School of Software, University of Technology Sydney, Sydney, Australia & Chris S. Johnson, School of Systems, Management and Leadership, University of Technology Sydney, Sydney, Australia.

 

This paper summarises our experiences teaching Extreme Programming to undergraduate students over a period of 8 years. We describe an approach in which students learn about the Extreme Programming (XP) method by using it on real software development projects. This experiential learning technique has been effective in helping students understand how XP works in practice and helped them to develop the skills to reflect on their current approaches to software development and critically evaluate agile methods. Problems, including a steep learning curve for some XP practices and difficulties scheduling pair-programming time in a university environment are also identified.

 

 

  1. Using Video Screen Capture to Provide Assessment Feedback for Information Systems Students

David Deal and Arthur Tatnall, School of Management and Information Systems, Victoria University, Melbourne Australia.

 

The goal of this research project is to investigate the value of using screen capture techniques to mark and provide feedback on student assignments and to identify opportunities and problems that arise from using this technique. In particular it was to look at whether providing student feedback in this way offered significant advantages over more conventional approaches. The project is using an action-research approach in which a new approach to the provision of student feedback is devised and tested, and improved after considering its success. Initial results and discussions with students suggest that the use of screen capture to mark and provide feedback to students in this way appears to offer an effective approach to formative assessment, but not one that should entirely replace current methods. This approach, however, certainly does not provide a ‘cheap and easy’ method of providing feedback.

 

 

  1. Collaborative Teaching and Learning: An Initiative of Linking Education Activities with Business Demands

Wei Dai and Arthur Tatnall, School of Management and Information Systems, Victoria University, Melbourne, Australia.

 

This paper presents a collaborative teaching and learning program that links academic visions in education with research of leading edge Information Technology (IT) in real-world business environments. It discusses the impact of research and industry collaborations on teaching and vice versa, and highlights several achievements including an IEEE Services Computing Contest Award and a TIBCO Academic Award received in 2007 and 2009 respectively by the project at Victoria University. Details of the approach, the impacted areas of teaching and research, and related industry resources to meet the teaching and research needs are also provided.

 

 

  1. Automatic Grading System for Programming Homework

Önder Demir, Aykut Soysal, Ahmet Arslan, Burcu Yürekli, Özgür Yılmazel, Computer Engineering Department, Anadolu University, Eski􀃺ehir, Turkey.

 

One of the best methods of learning in programming courses depends on practical exercises. But preparing, collecting and grading homework manually takes time. When the number of students increases the number of homework given reduces. This reduces effectiveness of whole course. One way to solve this problem is distributing homework through an automatic grading system and getting back fast feedback.

This paper describes such a system that grades programming homework automatically. This system is using test driven software development methods and technologies that are being used by those methods. This system is tested with 8 homework in a course with 36 students and the results are discussed in this paper.

 

 

  1. E-learning on Physical education of Utilizing Multimedia Contents

Chun-Hong Huang1, Dept. of Computer Information and Network Engineering, Lunghwa University of Science and Technology, Taoyuan, Taiwan & Chun-Yeh Liu3, Physical Education Office, Fu Jen Catholic University, Taipei, Taiwan  & Yi-Chun Liao2, Department of Computer Science and Information Engineering, China, University of Technology, Hsinchu,Taiwan & Che-Chi Yang4, Department of Information Management, Lunghwa University of Science and Technology, Taoyuan, Taiwan & Yi-Chun Liao2, Department of Computer Science and Information, Engineering, China University of Technology, Hsinchu,Taiwan & Yi-Pei Yu5, Dept. of Computer Elertrical Engineering, Lunghwa University of Science and Technology, Taoyuan, Taiwan.

 

In contrast with the traditional instructional method in physical education, the adaptation of computer information technology brings a great number of changes with extensive advantages. According to this reason, the major purpose of this paper tries to utilize the information technology in order to fabricate physical education courses with multimedia contents integrated with an E-learning Platform. In this project, the major courses provided by platform include sports skill and movement, exercise rule, and injury treatment. The teaching materials and contents of the courses are represented using multimedia information technologies which include video, flash animation, and 3D VR model. Instructions on physical education using multimedia information technologies not only motivate classroom atmosphere but also inspire students’ strong interest in learning

and active participation. These advantages may not be supplied by other instructional tools. Via the usage of this physical education E-learning platform, we hope to encourage players to perform efficient self-learning for sports skills, indirect foster mutual help, cooperation, and nice norms of law-abiding via the learning of athletic rules, and to become familiar with accurate recreation knowledge as well as first aid expertise.

 

 

  1. Enhancing Vocational Learners’ Skills in Applying Office Applications - A review of the literature

Sanit Haruehansawasin, Ph.D. Candidate, Learning Innovation and Technology, Faculty of Industrial Education and Technology, KMUTT, Bangkok, Thailand & Paiboon Kiattikomol, Executive Project of Media Arts andMedia Technology, Curriculum, KMUTT, Bangkok, Thailand.

 

The ability to use computers is widely accepted as one the skills needed in order to compete and succeed in the global information society and in the job market. Now that computers are ubiquitous even in households, many people can use various applications available. But this does not mean that those people will be able to understand and use their computers efficiently. In order to create knowledge and ability in efficiently applying

Office Applications, the Vocational Education Commission has identified “Computer at Work” as a required subject for vocational graduates. But the National Statistics Office of

Thailand (NSOT) reported that majority of employees in the workplace have inconsistent levels of knowledge in using Office Applications within the workplace requirement. A literature review was conducted to determine the possible causes and propose a conceptual framework to develop a more appropriate and efficient learning model to enhance the vocational learners’ skills in applying Office Applications.

 

 

  1. A Study of Teaching Instruction and Relationship between Critical Thinking Skill and Learning Achievement.

Shatchaya Duangchant, Ph.D Candidate, Faculty of Industrial Education and Technology , KMUTT, Bangkok, Thailand & Paiboon Kiattikomol, Executive Project of Media Arts and Media Technology, Curriculum, KMUTT, Bangkok, Thailand & Sittichai Keawkuekool, Dean of Faculty of Industrial Education and Technology,

KMUTT, Bangkok, Thailand.

 

The analysis of the survey the state of learning in the field of computers in higher education in Thailand found that the current teaching instruction is still mainly focused on the lecture course by transfer knowledge to students (Teacher –based). The knowledge gained from studying like a teacher giving notice to explain the story or description alone. Which affect the ability to Higher-order Thinking of learners. The research results showed that the Higher-order Thinking Skill of students in advanced courses related to computer field, most were moderate. The Critical Thinking Skill is in the medium (50.57%), the Problem- Solving Thinking Skill is in the medium (60.71%), and the Creative Thinking Skill is in very less level (33.81%). And the relationship studying between Critical Thinking Skill and learning achievement of the students revealed that Critical Thinking Skill associated with learning achievement (GPA) with statistically significant level of .01. When analyzing the relationship with learning achievement by subjects in the course related to computers were found to be associated with some subjects such as Object-Oriented Programming had statistically significant level of .05 and Database Systems, Computer Network Systems, Multimedia Technology and Wireless Technology had statistically significant level of .01.

 

 

  1. The Analysis of Conditions and Problems of Teaching and Learning of Object Oriented Analysis and Design Subject that has Impacted to the Student Learning

Apiradee Siriwong, Ph.D. Candidate, Learning Innovation in Technology, Faculty of Industrial Education and Technology, KMUTT, Bangkok, Thailand & Paiboon Kiattikomol, Faculty of Industrial Education and Technology, King Mongkut’s University of Technology Thonburi, Bangkok 10140, Thailand

 

This research study purposed to analyze the conditions and problem of teaching and learning of Object Oriented Analysis and Design subject, which is impact to the student learning at Rajabhat University. They are 116 samples of the bachelor degree students from computer science and information technology faculties of three Rajabhat Universities by randomly sample selected. This qualitative research method has been using the questionnaires in which questioning and identifying point of views to the condition and problem of the system analysis and object-oriented design subject in experiment and analyze and evaluate data by mean and standard deviation in statistical. The results of research, it was found out that there is middle-high of problems level in content of subjects and educational activities, cause by the item of the interactive modeling demonstration in content of subject is difficult to understand and there were no

activities to provide the collaborative learning conceptual supporting. And the middle level of problem in learning method and media and learning environments, cause by there is not attractive media and teaching method that can be motivate the student and no facilitate rooms designed for the specific of subject.

 

 

  1. The Development of Problem-Based Solution Based on Mind Mapping Learning Model (PBMAP-MODEL) in Lean Information Management Model

Rissaphop Treesuwan, Ph.D. Candidate, Learning Innovation in Technology &  Tanes Tanitteerapan, Department of Electrical Technology Education, Faculty of Industrial Education and Technology, King Mongkut's University of Technology, Thonburi Bangkok, Thailand.

 

The purpose of this study is to develop a reliable speed learning system that utilizes the correlation functions of a wide variety of Problem-Based Learning and Mind-Mapping implementations. The technique used in developing the system is based on the objectives

of Lean Management Model, which emphasizes time loss and waste management. The results show continuous learning accomplished through uncomplicated teaching step(s) during a class lecture. The PBMAP-MODEL is used for analyzing and controlling the flow of lessons whilst giving information throughout the entire patternmaking process of the learning system. Ideally, the PBMAP-MODEL is used to investigate a fully automated pattern production system that uses the principles of Information Technology (IT) and Computerized Numerically-Controlled (CNC) machine tool, especially in Logistics. A foundry school (North Bangkok University) was selected to test the system. The production cycle time and the number of buffers used served as indicators of performance of the traditional and automated production methods. In this paper, production output is assumed to be quality learners. The production methods are monitored, while data were collected and analyzed. Professionals in this field then studied, developed and constructed state maps for both types of production systems, with the weak points addressed and treated. Findings show the PBMAPMODEL performance evaluation represents a new dimension of learning while delivering improvements in teaching models.

 

 

  1. International Seminar on Software ngineering and its Application in Education

Emanuel S. Grant, Thomas Stokke, Computer Science, University of North Dakota, North Dakota, USA  & Hubert Johnson, Computer Science, Montclair State University, New Jersey, USA & Eunjee Song, Computer Science, Baylor University, Texas, USA  &  Ven Yu Sien, Yeow Wei Choong, Information Technology, HELP University College, Kuala Lumpur, Malaysia &  Teresa Salta, Jannet Redoban, Information Technology & Computer Science, Holy Angel University, Pampanga, Philippines.

 

Software engineering is viewed as one of the cornerstones of computer science, yet the teaching of the subject is not standardized enough to facilitate a sharing of teaching resources across departments, nor institutions. This problem is exemplified by the diversity of topics, which may be taught in a software engineering courses. If this problem can be solved by the establishment of an open framework for developing software engineering teaching material (lectures, examinations, assignments, and course projects), teaching assessment process, and delivery platforms then there would be an environment for the sharing and structuring of common software engineering curricula in an international context. Towards this goal a workshop was convened to discuss this problem and provide an initial set of concerns to be addressed. This is a report on the workshop and the research that will be implemented.

 

 

  1. Game controller hacking for fun and profit

Thomas Tilley, School of computer Information Systems, Payap University, Chiang Mai, Thailand.

 

This paper discusses experiences teaching an undergraduate computing subject that engages students through game controller hacking. In particular ir presents the hacked USB joystick as a cheap interface technology that enables a wide variety of projects with applications both inside and outside the classroom.

 

  1. Test-Driven Development - Suggestions for Curriculum Development

Sami Kollanus, Faculty of Information Technology, University of Jyv¨askyl¨a, Jyv¨askyl¨a, Finland.

 

Test-Driven Development (TDD) has been acknowledged as a useful practice during the last decade as well in industry as in academia. Many academics have included TDD in their teaching in very different course settings. This paper discusses reported experiences on teaching TDD, based on a systematic literature review. The main research question is to find and identify experiences that may provide practical help in teaching TDD and including it in CS curriculum. The paper includes a summary of the key findings that are categorized in three themes: student motivation, TDD in curriculum, and challenges in teaching TDD. Finally, based on the main findings, the paper includes practical suggestions for including TDD in the different levels of curriculum.

 

 

  1. Just-in-time Intervention System for Introductory Computer Science Courses

Young-Gyun Kim, Department of Mathematics and Computer Science, South Carolina State University

300 College St. NE.

 

The opportunity that students have to learn in the classroom is often referred to as the most important predictor of their achievement. However, some students in introductory computer science courses have found it difficult to learn the material that is being taught, and this problem has had a significant negative impact on the retention rate in Computer Science programs.

In this proposal, we introduce a state-of-the art classroom support system that is based on just-in-time class interventions and after-class support. Unlike other traditional teaching assistance tools, such as PowerPoint sliders and clickers which provide limited communication in class, the proposed system is designed to pinpoint the weak points of students’ comprehension based on Individual Learning Objects (ILOs) and provide justin-

time treatment during class time. Also, the proposed system maximizes the role of the mentor in after-class support by providing the list of the students’ ILO weaknesses to the mentor, which allows the mentor to pinpoint the weaknesses of each poorly performing student.

In addition to introductory computer science courses, this system can be extended to any introductory Science, Technology, Engineering, and Math (STEM) courses. Also the web-services and client-server technology built into on the proposed system will allow any STEM educator to access and use the system via the Internet.

Therefore, we believe that our proposed system is a studentfocused approach that will provide sustainability, extensibility, and portability to the STEM education programs.

 

 

  1. A Pair Programming Trial in the CS1 Lab

Shamim Khan1, Lydia Ray2, Aurelia Smith3, Angkul Kongmunvattana4, TSYS School of Computer Science,Columbus State University, Columbus, GA 31907, USA.

 

The benefits of pair programming have been recognized for some time now. Numerous attempts have been made to introduce pair programming in the classroom to improve student learning and performance. A trial introduction of this method in the introductory Computer Science (CS1) lab-based class is reported. The noticeable improvement found in student performance is in agreement with most previous studies. This study also explores student perception of this collaborative approach to learning, and some administrative issues.

 

 

  1. SMOUTE:Synthetics Minority Over-sampling and Under-sampling TEchniques for class imbalanced problem

Panote Songwattanasiri & Krung Sinapiromsaran, Department of Mathematics, Faculty of Science, Chulalongkorn University, Bangkok, 10330, Thailand.

 

SMOTE is an over-sampling technique for handling a class imbalanced problem. It improves the precision measure of the minority class prediction by generating more minority class instances near the existing ones. Nevertheless, the large number of synthesized minority class instances may outweigh majority class instances. In this paper, we introduce the mixture techniques of over-sampling by SMOTE and under-sampling by reduction around centroids. Our algorithm, Synthetic Minority Over-Sampling and Under-sampling TEchnique called SMOUTE, avoids synthesizing a large number of minority class instances while balances both class instances. We perform experiments based on three classifiers, C4.5, Naïve Bayes and multilayer perceptron. Our results show that classifiers using SMOUTE are correctly grouped the minority class better than SMOTE. Moreover, the speed of SMOUTE is much faster than that of SMOTE for large datasets.

 

 

  1. Learning by Doing: Outcomes of Teaching a Research Course through Group Activities

Dr. Irshad Hussain, Department of Education, The Islamia University of Bahawalpur,

Pakistan & Dr. Sarwat Sultan, Department of Applied Psychology, Bahauddin Zakaraiya University Multan, Pakistan.

 

This paper describes instructor’s experience of teaching a research course through group activities; and its effects on students’ learning of research skills. The instructor taught a research course for three years in the Department of Education to three different classes at the Islamia University of Bahawalpur. The instructor designed activities to involve students for their active learning. These activities were skill-based; competence oriented and consisted of group as well as individual activities. The activities were offered to homogeneous (male-male and female-female) as well as heterogeneous (male-female) groups of students. On the basis of observation, students’ academic work and their grades in the examinations, the instructor concluded that activities helped develop research skills and competencies among students. They could develop research tools, collect & analyze data for its comprehensive reporting. Similarly, group work developed competition spirit among students overcoming their shyness and introversion. They became independent and capable of taking initiatives in their lives. They also learnt social skills and etiquettes in groups. However, some negative aspects like jealousy, bullying and under estimating others were also observed among students.

 

 

  1. Factors affecting the multicore processor performance

K.V. Rnga Rao, Associate Professor CSE Department & Niraj Upadhayaya Professor & head CSE departement, J.B.Institute of engineering & Technology, Hyderabad, INDIA.

 

Having come to the end of mega hertz rope, all the chip manufacturers looked into other methods for increasing the processing power while maintaining efficiency. The most significant one is to increase the number of cores and the Multicore era began in spring 2005.

 

The present day multicore processor a.k.a, chip multi processors (CMPs) fail to meet the expectations of the end users. This is in compiliance with the Amdahl’s law that predicts the maximum number of parallelization cores. In this paper we discuss the performance bottleneck with increase in the number of cores in the present day chip multi processors. As well we analyze various other factors that are affecting the CMP performance like effective cache, core speed ect., Futher we suggest a processor design for better performance.

 

 

  1. Analysis Based on Meta-analysis of Emergency Management

Liu Miao & Wang Xuehua, Department of Management and Economics, Dalian University of Technology

Dalian, China.

 

The paper took emergency architecture, emergency mechanism, emergency system and emergency model as key words for the journal collecting, using meta-analysis method to analyze 337 articles published in the core journals of China Academic Journal between 2003 and 2010. Based on the careful screening of literatures and excluding the non-relevant, the situation and problems in emergency management had been pointed out. This research will take an important role in improving the structure of emergency management disciplines and development of emergency management by providing empirical research data and reference.

 

 

  1. A Threshold Concept Perspective for Enhancing Effectiveness of PhD Supervision in Computing Disciplines

Farhad Daneshgar, Australian School of Business, University of New South Wales, Sydney, Australia & Stephen Marshal, Director, Learning & Teaching @ UNSW, University of New South Wales, Sydney, Australia.

 

This study describes the planning process of a major multi-perspective multi-disciplinary research project that aims to enhance effectiveness of the Higher Degree Research (HDR) training process in computing-related disciplines by applying the threshold concept theories and framework. Two specific disciplines, the computer science and information systems were chosen for the study that closely represent the two ends of a wide range of computing discipline spectrum within the faculties of science, engineering, business and education. The ultimate goal of the study, when completed, is to enhance productivity of research training process in computing schools. The foreshadowed problem is that for many of HDR students it takes a long time to produce a specific result expected to be done in much shorter periods of time; and yet at some stage the student seems to get over this hurdle almost overnight. By adopting a threshold concept framework this study extends existing studies by specifically targeting HDR process in computing disciplines, and provides plans for a wide range of studies that lead to identification of the threshold concept. The issue under development in the current study is how can the process of overcoming the above hurdles be facilitated? How can the productivity of various resources utilized during the above long and frustrating waiting periods be increased by shortening the waiting times?

 

 

  1. Development of Computer-Based Experiment in Physics for Charging and Discharging of a Capacitor

Panjit Musik; Faculty of Science and Technology Nakhon Si Thammarat Rajabhat University Muang, Nakhon Si Thammarat, Thailand, Panjitwittayawatt School Muang, Nakhon Si Thammarat, Thailand,

 

The purposes of this research was development of computer-based experiments in physics using a computer interface experiment and computer simulation to study the charging and discharging of a capacitor. The interfaces are Arduino board, a resistor-capacitor circuit and relay circuit. The software is Arduino 0016 C++, Processing 1.0.9 and Mathematica 7. This is to experiment in measuring and modeling voltage on a capacitor and time while charging and discharging in real-time display. The result of the study was that the measuring voltage across the capacitor and time by computer interface experiment is equal to computer simulation. The average error of the time constant, which compared with the theoretical calculation, is less than 0.50 %.

 

 

  1. Towards Semantic Enrichment of Historic Gazetteer Data

Gaurav Singh, Department of Geoinformation Processing, Faculty of ITC, University of Twente, Enschede, The Netherlands.

 

We report on a project to enhance wealth of geographic information available in historical gazetteer. The information in these gazetteers is fundamental for our understanding of (historic) patterns of movement of the expeditioners in space and time, but the information is in the form of natural language text following some weakly content structure making it difficult to exploit well. With the advancement of new geospatial data handling techniques and wider availability of data we can enhance these gazetteers with an aim to geocode the localities that are described as “Not Located” in it. The tools that we use for the solution are a mix of natural language parsing, spatial ontologies and ontological tagging.

 

 

  1. An Extended Pagerank Calculation Including Network Parameters

Sunantha Sodsee,† Maytiyanin Komkhao, Herwig Unger, Faculty of Mathematics and Computer Science, Fernuniversit¨at in Hagen, Hagen, Germany & Phayung Meesad, †Faculty of Information Technology, King Mongkut’s University of Technology North Bangkok, Bangkok, Thailand.

 

In this paper, we develop a distributed random walk-based pagerank algorithm for P2P systems. This proposed algorithm is used to rank importance of nodes in networks by using a visiting probability of a population of random walks and network parameters to quantify the ranking definition. A  method to estimate the rank of node and a convergence factor when focused on an initial static rank is also presented. To illustrate an effectiveness of our work, the work is compared to the PageRank algorithm on both grid and torus grid overlay P2P networks. The simulation results show that the performance of the proposed work is significantly efficient in the node ranking with the bandwidth consideration.

 

 

  1. Personalized Recommendation on Discount Coupons

Teemu Mutanen, VTT Technical Research Centre of Finland, Espoo, Finland & Sami Nousiainen, VTT Technical Research Centre of Finland, Espoo, Finland & He Liang, East China Normal University, Shanghai, China.

 

We present several recommendation approaches how discount coupon service could be personalized in order to cut down customer’s usage time. The Velo system is already implemented coupon service system in China with millions of users. The proposed approach makes use of customer and dispenser meta data together with previous user coupon prints in order to predict upcoming prints for a customer. The implementation of the service, data collection, and how the implementation affects the customers’ behavior all have an effect on the accuracy of the printed coupons. The analysis of customer characteristics help the service to present relevant coupons to a customer in order both to raise customer’s satisfaction and to aid customers on finding relevant coupons faster. The results show that item recommendation systems provide valuable benefits for coupon service.

 

 

  1. Visualization and Analysis of Regional Water Transport- Based Commodity Flow in the Philippines

Rabelais Medina, Jennilyn Rescuber, Jasmine Malinao, Department of Computer Science, University of the Philippines Diliman.

 

Graphs have always been used to visualize network data. Through graphs, relationships between entities or nodes can be seen clearly. However, for the visualization of regional water transport-based commodity flow data, a simple graph would not suffice. A method for visualizing regional commodity flow data called Enhanced Flow Mapis presented. It uses weighted edges and colored nodes to illustrate the trade relationship of one region to another. This technique is an enhanced flow map used in [1]. The method is demonstrated by visualizing and analyzing the trade data from the third quarter of 2008. Results show that the proposed methodology is sufficient enough to find trade patterns from the data.

 

 

  1. An Analytical Study of the Performance of The Top Four Classification Techniques

Mariam Adedoyin-Olowe, and Mohamed Medhat Gaber, School of Computing, University of Portsmouth, Portsmouth, Hampshire.

 

Abstract—This paper investigated the performance of four of the top rated classification techniques, namely, Naive Bayes, Knearest Neighbour (K-NN), Decision Tree (ID3) and CART as stated and voted for in the Top 10 data mining algorithms in [20]. We analysed their performance on 10 real nominal datasets and discovered their strengths and weaknesses based on different features of the datasets. It could be seen using the produced results that different features of datasets would determine how fast and accurate the different classification techniques are. This study and the recommendations we provide at the end would help data mining practitioners on deciding the appropriate technique based on the dataset’s number of attributes, instances, class labels and the total size.

 

 

  1. Decision Support System for Tourism Service Industry

Polkrit Chutipong, Faculty of Information Technology, King Mongkut’s University of Technology North Bangkok, Bangkok, Thailand & Supot Nitsuwat, Faculty of Technical Education, King Mongkut’s University of Technology North Bangkok, Thailand.

 

The tourism service sector is highly significant for a country’s economy. Many tourism researches have been studied and developed to suggest attractive places but when concerning seasonality and services, it seemed to be incomplete. This paper proposes a new decision support system model to serve in the tourism service industry by focusing on both factors. Moreover, the algorithm model management was enhanced by applying mining techniques to recommend tourism places. Naive Bayes tree (NBTree) classifier is recommended by this study with a comparison to the basic Decision Tree algorithm. After

implemented and evaluated, it seemed NBTree induction was better than the normal tree in two aspects. Firstly, better suggestion by providing advice using NB rules. Secondly, more accurate as evaluated by 10-fold cross validation. Importantly, Tourism knowledge can be interpreted for service providers using mining inductions as well.

 

  1. OSeC : An Ontology Based Cloud To Model Web 3.0

Suyog Tasare, Student, Third Year Computer Engineering, Dept. of Computer Engineering, Maharashtra Institute of Technology, Pune, India & Sheetal Vij, Assistant Professor, Dept. of Computer Engineering, Maharashtra Institute of Technology, Pune, India.

 

In the current networked globe, Web has proved itself the most advanced and effective way of communication. Most of the information needed in our day to day life is available on internet. Here is a novel approach to model Web 3.0 virtually. Primary focus of this paper will be on the relationship between ontology, cloud computing and semantic web to model Web 3.0. We are trying to model a Search Engine based tool that characterizes the

behavior of Web 3.0 by collecting and strategically combining information available on the cloud and ontology database. Our ontology based approach advances the future web in following scenarios:

1) Efficient Mining

2) Quality Analysis of Data

These are our efforts to describe a part of the future web.

 

 

  1. Software as a Service in the Shipping Sector

Mrs. Sheetal Vij1 , Mrs. Deepa Adiga2, 1Assistant Professor , Department of Computer Engineering, Maharashtra Institute of Technology, Paud Road, Kothrud, Pune, harashtra, INDIA., 2 Assistant Professor , Department of Information Technology, Maharashtra institute of Technology, Paud Road, Kothrud, Pune, Maharashtra, INDIA..

 

This paper presents an extensive perspective on Software as a Service, and how it can be of use in the Shipping sector. It looks at the cloud computing and its derivatives, explains them and then goes on to explain how they can benefit the shipping sector. The paper is   conclusive outcome of the live project which one of the authors guided to a group of students at MIT, Pune as their final year project on Building a Web Based Application on the Force.com Platform , which is considered here as a case study.

 

 

  1. COLLABORATIVE LEARNING IN A KNOWLEDGE COMMUNITY

Danny Chiang Choon Poo, School of Computing, National, University of Singapore, 13, Computing Drive, Singapore, & Hsiang Hui Lek, School of Computing, National, University of Singapore, 13 , computing, Drive, Singapore & Naresh Kumar Agarwal, Graduate School of Library and Information Science, Simmons College, USA.

 

In this paper, we recognize that every individual has something to share and contribute, whether it is factual knowledge or experiential knowledge and present a platform called Knowledge Community (K-Comm) which provides a higher level of engagement for student learning on the web. By having such a platform, we attempt to capture an individual’s knowledge and tap onto the full potential of individuals. Since everyone has something to contribute, this community effort where users help one another formalizes collective intelligence. This Knowledge Community platform is a knowledge-based social network which allows users to contribute and seek information. Users can ask questions or answer questions asked by other members. The platform is built around the philosophy that each individual is an expert in their own area and has the potential to share and contribute. Unlike other social networks, K-Comm does not distract. It encourages knowledge sharing and contribution and promotes collaborative learning.

 

 

  1. Using Web 2.0 Technology to Enhance Student Learning

Robyn A Davidson, University of Adelaide, Australia.

 

This paper focuses on the use of wikis to enhance group work and collaboration in a financial accounting class. The wiki provided a platform where students could introduce themselves, discuss the task, present and discuss the findings of their research and work on a draft and compose the final answer. Students were at first hesitant to work in groups with students they did not know, on a medium they were not familiar with. After this initial reluctance, and with some encouragement, students completed the task. In addition they completed a reflective survey designed to gather their thoughts about group work and wikis. In general students felt that they gained valuable knowledge and increased their communication, collaboration and computing skills; essential skills for an accounting graduate.

 

 

  1. A Framework for Knowledge Management of Conference Information

Abraham G. van der Vyver, Monash South Africa, Ruimsig, South Africa

 

Universities spend millions of dollars to enable researchers to attend conferences throughout the world in order

to showcase their research. All the papers that are presented at these conferences are usually documented in the form of published conference proceedings. Very few of these papers are revisited once the researcher had returned from the conference. In this paper the author proposes a methodology that will ensure the productive usage of the knowledge that is embedded in conference papers.

 

 

  1. A Linear Approximation to a Neural Network Model for E-Commerce Anomaly Detection

Reza Khosravani, Department of Electrical and Computer Engineering, American University in Dubai.

 

Because  of  their  superior  performance  over  linear models,  neural  networks  are  widely  used  to  detect  irregular patterns  in  data.  Unfortunately,  non-linear  models  in  general, and  neural  networks  in  particular,  lack  transparency  and interpretability.  In  industries where a  justification  is needed  for actions  proposed  by  the  model  (e.g.  customer  credit management),  a  black-box  approach  for  modeling  is  not desirable. In this paper, we propose a novel technique to convert a non-linear model to an interpretable linear model at the tail of the  score  range where  the  actual  scores  matter.  A  neural network model  to detect  anomalies  in  e-commerce  transactionaldata  is approximated by  linear and  logistic regression models at the  tail  of  the  score  distribution.  In  this  case,  a  linear  relation between  input variables and  target will be available whenever a justification for an action is needed.  

 

 

  1. Comparing supervised and unsupervised artificial neural network for conducting eco-environment vulnerability assessment

Zhiyuan Yao, Department of Information Technologies, Åbo Akademi University, TUCS, Turku, Finland & Xiao-ping Pang, Chinese Antarctic Center of Surveying and Mapping,School of Resources and environment Science, Key Lab. for Polar Surveying and Mapping Science,Wuhan University, Wuhan, China & Wei Qi, State Key Laboratory of Information Engineering inSurveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China & Lan Tao, Guangzhou Urban Planning and Design Survey Research Institute, Guangzhou, China.

 

The present study adopts an unsupervised neural network, i.e. the SOM-Ward clustering to conduct ecoenvironmental vulnerability assessment. The 797 assessment units on Fildes Peninsula are clustered based on the ten assessment indexes; the results effectively display the ecoenvironment vulnerability classifications on Fildes Peninsula and the factors that impact them. In addition, the results of the SOM-Ward clustering are compared with those predicted by the back propagation (BP) neural network, further verifying the practicability and reliability of the SOM-Ward model. Based on the results of both models, we summarize the characteristics of the eco-environment vulnerability of  the Antarctic ice-free areas, providing further materials for the study of Antarctic eco-environmental.

 

 

  1. Effective Relations in an Open Community of Practice

Fang-Ling Lin, Department of Information Management, Lunghwa University of Science and Technology, Taoyuan, Taiwan & Guey-Fa Chiou, Graduate Institute of Information and Computer Education, National Taiwan Normal University, Taipei, Taiwan.

 

This article studies the strategic occupancies in knowledge sharing networks for school technology coordinators. We proposed that subjects who were identified by other subjects in a knowledge acquisition network were impressive knowledge prestige. This study is to investigate the network characteristics of knowledge contribution that can predict prestigious relations. Results reveal that structural hole of knowledge contribution has effects on knowledge prestige. Results also reveal deficiencies of knowledge dissemination in STC communities. These findings are valuable to studies of the knowledge management practices of other professionals.

 

 

  1. Test environment using Bootstrap for Knowledge Discovery Applications

Rafael León Sanz, José Manuel Rojo, Ramón Galán, Intelligent Control Group, Universidad Politécnica de Madrid.

 

It is virtually impossible to test thoroughly Web Mining Applications based on Supervised Learning with pure empirical data, due to the need for human intervention to generate training sets and test sets. On the other hand, because the heterogeneity nature of the Internet it is difficult to extend the results obtained with these sets to other Web pages. We propose using the computer-based Bootstrap paradigm to design a test environment where they are checked with better confidence. In addition, it is possible to go further, by

varying the characteristics of the sample, getting a better understanding of the performance of the mining application.

Social networks and blogs mining is a good example where our methodology can be applied, where often it is challenging to find a sample of enough size for a particular matter. To show the application of our methodology we have tested several models used as Web page classifiers based on pattern analysis. These classifiers have been largely studied, but their evaluation and comparison is not well developed yet. We demonstrate with our test technique that it is possible to have deeper understanding on their performance.

The Bootstrap approach is a powerful tool for all related works with the Internet, it allows to create test environments that can simulate real conditions with less human effort, building excellent test beds for applications that are difficult to replicate their working conditions.

 

 

  1. Recommending in the Long Tail of 0−1 Data using Highly Correlated Pairs of Group of Items

TRAN NGUYEN Minh Thu 1, HO Tuong Vinh†, François SEMPE1 and Jean Daniel ZUCKER12, LIMBIO, University Paris 13, 74 rue Marcel Cachin, 93017 Bobigny France, 1IFI, Equipe MSI; IRD, UMI 209 UMMISCO Institut de la Francophonie pour l’Informatique, 42 Ta Quang Buu, Hanoi, Vietnam,  2UPMC Univ Paris 06, UMI 209, UMMISCO, F-75005, Paris, France.

 

Among difficulties encountered by modern shopping recommenders one of the most important is the long tail shape of sold items which is also related to cold-start issues. Various approaches including content-based recommendations attempt to overcome this problem which has a serious impact on the accuracy of recommendations especially when new products are continuously added to the catalogue. A hybrid approach that combines recommendations based on highly correlated pairs of concrete items (existing items) with abstract items (based on the item taxonomy) is proposed in this paper (Abstract- Concrete Recommendation- ACReco). The ACReco algorithm is evaluated on an in-house and a benchmark of 0-1 Data (the Ta Feng data). "Given-n" protocols experimental results show significant improvements in both the recommendation accuracy and the recommendation of products in the long tail. The overall efficiency of the approach relies on the available Product Taxonomy.

 

 

  1. Investigating Inter-Organization (IO) Knowledge Transfer in Global Supply Chain Relationships

Lugkana Worasinchai, Bangkok University, Thailand, & Farhad Daneshgar, University of New South Wales, Australia, Visiting Fellow, Bangkok University, Thailand. & Chanchai Suracheep, Bangkok University, Thailand.

 

To investigate IO knowledge transfer in global supply chains a representative case was selected that consists of a number of laboratory analysis equipment dealer companies in Thailand and their customer companies in different industries in various parts of the world. Using a survey questionnaire data were collected from 73 employees of dealer companies and 87 employees of their customer companies scattered in different industries worldwide. The structural analysis technique indicates that the intraorganization characteristics of the dealer companies – which are supposed to transfer necessary knowledge to their customers – has no significant relationship with nature of knowledge that is transferred nor with the inter-organization management. Moreover there is no statistical significance in the intra-organization relationships within the client companies – who are the recipients of the transferred knowledge, perhaps because the majority of laboratory analysis equipment dealer companies import a great part of their products from overseas companies and they do not possess the technology themselves. As a result, the knowledge transferring procedure does not have much impact on the nature of knowledge transfer and the inter-organization practices or the intra-organization dynamics of buying companies.

 

 

  1. Using Robot Soccer Game To Teach Advanced Computer Science Concepts

Bogdan Czejdo & Sambit Bhattacharya, Department of Mathematics and Computer Science, Fayetteville State University, Fayetteville, NC 2830.

 

Robotics has been used extensively in teaching undergraduate Computer Science courses. In this paper we investigate ways to use “intelligent” behavior of robots as a platform to teach advanced computer science concepts in computer vision and program design. We selected robot soccer as our experimental framework. Apart from the intrinsic interest for our students, robot soccer requires advanced computer vision and design of  complex behaviors. We used an advanced computer vision library and the state diagram approach for behavior design. In order to facilitate the use of computer vision algorithms for our students we develop a methodology to embed library calls in the state diagrams. To use state diagrams effectively we developed programming templates and translation methodologies for transforming state diagrams into code.

Extreme Programming in the University

Company Description : This paper summarises our experiences teaching Extreme Programming to undergraduate students over a period of 8 years. We describe an approach in which students learn about the Extreme Programming (XP) method by using it on real software development projects. This experiential learning technique has been effective in helping students understand how XP works in practice and helped them to develop the skills to reflect on their current approaches to software development and critically evaluate agile methods. Problems, including a steep learning curve for some XP practices and difficulties scheduling pair-programming time in a university environment are also identified.

Product Type : Academic Conferences

Author : Andrew Johnston, Creativity and Cognition Studios, School of Sof

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Languages : English

Using Video Screen Capture to Provide Assessment Feedback for Information Systems Students

Company Description : The goal of this research project is to investigate the value of using screen capture techniques to mark and provide feedback on student assignments and to identify opportunities and problems that arise from using this technique. In particular it was to look at whether providing student feedback in this way offered significant advantages over more conventional approaches. The project is using an action-research approach in which a new approach to the provision of student feedback is devised and tested, and improved after considering its success. Initial results and discussions with students suggest that the use of screen capture to mark and provide feedback to students in this way appears to offer an effective approach to formative assessment, but not one that should entirely replace current methods. This approach, however, certainly does not provide a ‘cheap and easy’ method of providing feedback.

Product Type : Academic Conferences

Author : David Deal and Arthur Tatnall, School of Management and Informat

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Languages : English

Collaborative Teaching and Learning: An Initiative of Linking Education Activities with Business

Company Description : This paper presents a collaborative teaching and learning program that links academic visions in education with research of leading edge Information Technology (IT) in real-world business environments. It discusses the impact of research and industry collaborations on teaching and vice versa, and highlights several achievements including an IEEE Services Computing Contest Award and a TIBCO Academic Award received in 2007 and 2009 respectively by the project at Victoria University. Details of the approach, the impacted areas of teaching and research, and related industry resources to meet the teaching and research needs are also provided.

Product Type : Academic Conferences

Author : Wei Dai and Arthur Tatnall, School of Management and Information

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Languages : English

Automatic Grading System for Programming Homework

Company Description : One of the best methods of learning in programming courses depends on practical exercises. But preparing, collecting and grading homework manually takes time. When the number of students increases the number of homework given reduces. This reduces effectiveness of whole course. One way to solve this problem is distributing homework through an automatic grading system and getting back fast feedback. This paper describes such a system that grades programming homework automatically. This system is using test driven software development methods and technologies that are being used by those methods. This system is tested with 8 homework in a course with 36 students and the results are discussed in this paper.

Product Type : Academic Conferences

Author : Önder Demir, Aykut Soysal, Ahmet Arslan, Burcu Yürekli, Özgür Yı

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Languages : English

E-learning on Physical education of Utilizing Multimedia Contents

Company Description : In contrast with the traditional instructional method in physical education, the adaptation of computer information technology brings a great number of changes with extensive advantages. According to this reason, the major purpose of this paper tries to utilize the information technology in order to fabricate physical education courses with multimedia contents integrated with an E-learning Platform. In this project, the major courses provided by platform include sports skill and movement, exercise rule, and injury treatment. The teaching materials and contents of the courses are represented using multimedia information technologies which include video, flash animation, and 3D VR model. Instructions on physical education using multimedia information technologies not only motivate classroom atmosphere but also inspire students’ strong interest in learning and active participation. These advantages may not be supplied by other instructional tools. Via the usage of this physical education E-learning platform, we hope to encourage players to perform efficient self-learning for sports skills, indirect foster mutual help, cooperation, and nice norms of law-abiding via the learning of athletic rules, and to become familiar with accurate recreation knowledge as well as first aid expertise.

Product Type : Academic Conferences

Author : Chun-Hong Huang1, Dept. of Computer Information and Network Engi

PDF 4p

Languages : English

Enhancing Vocational Learners’ Skills in Applying Office Applications - A review of the liter...

Company Description : The ability to use computers is widely accepted as one the skills needed in order to compete and succeed in the global information society and in the job market. Now that computers are ubiquitous even in households, many people can use various applications available. But this does not mean that those people will be able to understand and use their computers efficiently. In order to create knowledge and ability in efficiently applying Office Applications, the Vocational Education Commission has identified “Computer at Work” as a required subject for vocational graduates. But the National Statistics Office of Thailand (NSOT) reported that majority of employees in the workplace have inconsistent levels of knowledge in using Office Applications within the workplace requirement. A literature review was conducted to determine the possible causes and propose a conceptual framework to develop a more appropriate and efficient learning model to enhance the vocational learners’ skills in applying Office Applications.

Product Type : Academic Conferences

Author : Sanit Haruehansawasin, Ph.D. Candidate, Learning Innovation and

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Languages : English

A Study of Teaching Instruction and Relationship between Critical Thinking Skill and Learning...

Company Description : The analysis of the survey the state of learning in the field of computers in higher education in Thailand found that the current teaching instruction is still mainly focused on the lecture course by transfer knowledge to students (Teacher –based). The knowledge gained from studying like a teacher giving notice to explain the story or description alone. Which affect the ability to Higher-order Thinking of learners. The research results showed that the Higher-order Thinking Skill of students in advanced courses related to computer field, most were moderate. The Critical Thinking Skill is in the medium (50.57%), the Problem- Solving Thinking Skill is in the medium (60.71%), and the Creative Thinking Skill is in very less level (33.81%). And the relationship studying between Critical Thinking Skill and learning achievement of the students revealed that Critical Thinking Skill associated with learning achievement (GPA) with statistically significant level of .01. When analyzing the relationship with learning achievement by subjects in the course related to computers were found to be associated with some subjects such as Object-Oriented Programming had statistically significant level of .05 and Database Systems, Computer Network Systems, Multimedia Technology and Wireless Technology had statistically significant level of .01.

Product Type : Academic Conferences

Author : Shatchaya Duangchant, Ph.D Candidate, Faculty of Industrial Educ

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Languages : English

The Analysis of Conditions and Problems of Teaching and Learning of Object Oriented Analysis...

Company Description : This research study purposed to analyze the conditions and problem of teaching and learning of Object Oriented Analysis and Design subject, which is impact to the student learning at Rajabhat University. They are 116 samples of the bachelor degree students from computer science and information technology faculties of three Rajabhat Universities by randomly sample selected. This qualitative research method has been using the questionnaires in which questioning and identifying point of views to the condition and problem of the system analysis and object-oriented design subject in experiment and analyze and evaluate data by mean and standard deviation in statistical. The results of research, it was found out that there is middle-high of problems level in content of subjects and educational activities, cause by the item of the interactive modeling demonstration in content of subject is difficult to understand and there were no activities to provide the collaborative learning conceptual supporting. And the middle level of problem in learning method and media and learning environments, cause by there is not attractive media and teaching method that can be motivate the student and no facilitate rooms designed for the specific of subject.

Product Type : Academic Conferences

Author : Apiradee Siriwong, Ph.D. Candidate, Learning Innovation in Techn

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Languages : English

The Development of Problem-Based Solution Based on Mind Mapping Learning Model (PBMAP-MODEL) ...

Company Description : The purpose of this study is to develop a reliable speed learning system that utilizes the correlation functions of a wide variety of Problem-Based Learning and Mind-Mapping implementations. The technique used in developing the system is based on the objectives of Lean Management Model, which emphasizes time loss and waste management. The results show continuous learning accomplished through uncomplicated teaching step(s) during a class lecture. The PBMAP-MODEL is used for analyzing and controlling the flow of lessons whilst giving information throughout the entire patternmaking process of the learning system. Ideally, the PBMAP-MODEL is used to investigate a fully automated pattern production system that uses the principles of Information Technology (IT) and Computerized Numerically-Controlled (CNC) machine tool, especially in Logistics. A foundry school (North Bangkok University) was selected to test the system. The production cycle time and the number of buffers used served as indicators of performance of the traditional and automated production methods. In this paper, production output is assumed to be quality learners. The production methods are monitored, while data were collected and analyzed. Professionals in this field then studied, developed and constructed state maps for both types of production systems, with the weak points addressed and treated. Findings show the PBMAPMODEL performance evaluation represents a new dimension of learning while delivering improvements in teaching models.

Product Type : Academic Conferences

Author : Rissaphop Treesuwan, Ph.D. Candidate, Learning Innovation in Tec

Languages : English

International Seminar on Software ngineering and its Application in Education

Company Description : Software engineering is viewed as one of the cornerstones of computer science, yet the teaching of the subject is not standardized enough to facilitate a sharing of teaching resources across departments, nor institutions. This problem is exemplified by the diversity of topics, which may be taught in a software engineering courses. If this problem can be solved by the establishment of an open framework for developing software engineering teaching material (lectures, examinations, assignments, and course projects), teaching assessment process, and delivery platforms then there would be an environment for the sharing and structuring of common software engineering curricula in an international context. Towards this goal a workshop was convened to discuss this problem and provide an initial set of concerns to be addressed. This is a report on the workshop and the research that will be implemented.

Product Type : Academic Conferences

Author : Emanuel S. Grant, Thomas Stokke, Computer Science, University of

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Languages : English

Game controller hacking for fun and profit

Company Description : This paper discusses experiences teaching an undergraduate computing subject that engages students through game controller hacking. In particular ir presents the hacked USB joystick as a cheap interface technology that enables a wide variety of projects with applications both inside and outside the classroom.

Product Type : Academic Conferences

Author : Thomas Tilley, School of computer Information Systems, Payap Uni

PDF 6p

Languages : English

Test-Driven Development - Suggestions for Curriculum Development

Company Description : Test-Driven Development (TDD) has been acknowledged as a useful practice during the last decade as well in industry as in academia. Many academics have included TDD in their teaching in very different course settings. This paper discusses reported experiences on teaching TDD, based on a systematic literature review. The main research question is to find and identify experiences that may provide practical help in teaching TDD and including it in CS curriculum. The paper includes a summary of the key findings that are categorized in three themes: student motivation, TDD in curriculum, and challenges in teaching TDD. Finally, based on the main findings, the paper includes practical suggestions for including TDD in the different levels of curriculum.

Product Type : Academic Conferences

Author : Sami Kollanus, Faculty of Information Technology, University of

PDF 6p

Languages : English

Just-in-time Intervention System for Introductory Computer Science Courses

Company Description : The opportunity that students have to learn in the classroom is often referred to as the most important predictor of their achievement. However, some students in introductory computer science courses have found it difficult to learn the material that is being taught, and this problem has had a significant negative impact on the retention rate in Computer Science programs. In this proposal, we introduce a state-of-the art classroom support system that is based on just-in-time class interventions and after-class support. Unlike other traditional teaching assistance tools, such as PowerPoint sliders and clickers which provide limited communication in class, the proposed system is designed to pinpoint the weak points of students’ comprehension based on Individual Learning Objects (ILOs) and provide justin- time treatment during class time. Also, the proposed system maximizes the role of the mentor in after-class support by providing the list of the students’ ILO weaknesses to the mentor, which allows the mentor to pinpoint the weaknesses of each poorly performing student. In addition to introductory computer science courses, this system can be extended to any introductory Science, Technology, Engineering, and Math (STEM) courses. Also the web-services and client-server technology built into on the proposed system will allow any STEM educator to access and use the system via the Internet. Therefore, we believe that our proposed system is a studentfocused approach that will provide sustainability, extensibility, and portability to the STEM education programs.

Product Type : Academic Conferences

Author : Young-Gyun Kim, Department of Mathematics and Computer Science,

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Languages : English

A Pair Programming Trial in the CS1 Lab

Company Description : The benefits of pair programming have been recognized for some time now. Numerous attempts have been made to introduce pair programming in the classroom to improve student learning and performance. A trial introduction of this method in the introductory Computer Science (CS1) lab-based class is reported. The noticeable improvement found in student performance is in agreement with most previous studies. This study also explores student perception of this collaborative approach to learning, and some administrative issues.

Product Type : Academic Conferences

Author : Shamim Khan1, Lydia Ray2, Aurelia Smith3, Angkul Kongmunvattana4

PDF 8p

Languages : English

SMOUTE:Synthetics Minority Over-sampling and Under-sampling TEchniques for class imbalanced ...

Company Description : SMOTE is an over-sampling technique for handling a class imbalanced problem. It improves the precision measure of the minority class prediction by generating more minority class instances near the existing ones. Nevertheless, the large number of synthesized minority class instances may outweigh majority class instances. In this paper, we introduce the mixture techniques of over-sampling by SMOTE and under-sampling by reduction around centroids. Our algorithm, Synthetic Minority Over-Sampling and Under-sampling TEchnique called SMOUTE, avoids synthesizing a large number of minority class instances while balances both class instances. We perform experiments based on three classifiers, C4.5, Naïve Bayes and multilayer perceptron. Our results show that classifiers using SMOUTE are correctly grouped the minority class better than SMOTE. Moreover, the speed of SMOUTE is much faster than that of SMOTE for large datasets.

Product Type : Academic Conferences

Author : Panote Songwattanasiri & Krung Sinapiromsaran, Department of Mat

PDF 5p

Languages : English

Learning by Doing: Outcomes of Teaching a Research Course through Group Activities

Company Description : This paper describes instructor’s experience of teaching a research course through group activities; and its effects on students’ learning of research skills. The instructor taught a research course for three years in the Department of Education to three different classes at the Islamia University of Bahawalpur. The instructor designed activities to involve students for their active learning. These activities were skill-based; competence oriented and consisted of group as well as individual activities. The activities were offered to homogeneous (male-male and female-female) as well as heterogeneous (male-female) groups of students. On the basis of observation, students’ academic work and their grades in the examinations, the instructor concluded that activities helped develop research skills and competencies among students. They could develop research tools, collect & analyze data for its comprehensive reporting. Similarly, group work developed competition spirit among students overcoming their shyness and introversion. They became independent and capable of taking initiatives in their lives. They also learnt social skills and etiquettes in groups. However, some negative aspects like jealousy, bullying and under estimating others were also observed among students.

Product Type : Academic Conferences

Author : Dr. Irshad Hussain, Department of Education, The Islamia Univers

PDF 6p

Languages : English

Factors affecting the multicore processor performance

Company Description : Having come to the end of mega hertz rope, all the chip manufacturers looked into other methods for increasing the processing power while maintaining efficiency. The most significant one is to increase the number of cores and the Multicore era began in spring 2005. The present day multicore processor a.k.a, chip multi processors (CMPs) fail to meet the expectations of the end users. This is in compiliance with the Amdahl’s law that predicts the maximum number of parallelization cores. In this paper we discuss the performance bottleneck with increase in the number of cores in the present day chip multi processors. As well we analyze various other factors that are affecting the CMP performance like effective cache, core speed ect., Futher we suggest a processor design for better performance.

Product Type : Academic Conferences

Author : K.V. Rnga Rao, Associate Professor CSE Department & Niraj Upadha

PDF 6p

Languages : English

Analysis Based on Meta-analysis of Emergency Management

Company Description : The paper took emergency architecture, emergency mechanism, emergency system and emergency model as key words for the journal collecting, using meta-analysis method to analyze 337 articles published in the core journals of China Academic Journal between 2003 and 2010. Based on the careful screening of literatures and excluding the non-relevant, the situation and problems in emergency management had been pointed out. This research will take an important role in improving the structure of emergency management disciplines and development of emergency management by providing empirical research data and reference.

Product Type : Academic Conferences

Author : Liu Miao & Wang Xuehua, Department of Management and Economics,

PDF 7p

Languages : English

A Threshold Concept Perspective for Enhancing Effectiveness of PhD Supervision in Computing ...

Company Description : This study describes the planning process of a major multi-perspective multi-disciplinary research project that aims to enhance effectiveness of the Higher Degree Research (HDR) training process in computing-related disciplines by applying the threshold concept theories and framework. Two specific disciplines, the computer science and information systems were chosen for the study that closely represent the two ends of a wide range of computing discipline spectrum within the faculties of science, engineering, business and education. The ultimate goal of the study, when completed, is to enhance productivity of research training process in computing schools. The foreshadowed problem is that for many of HDR students it takes a long time to produce a specific result expected to be done in much shorter periods of time; and yet at some stage the student seems to get over this hurdle almost overnight. By adopting a threshold concept framework this study extends existing studies by specifically targeting HDR process in computing disciplines, and provides plans for a wide range of studies that lead to identification of the threshold concept. The issue under development in the current study is how can the process of overcoming the above hurdles be facilitated? How can the productivity of various resources utilized during the abov

Product Type : Academic Conferences

Author : Farhad Daneshgar, Australian School of Business, University of N

PDF 5p

Languages : English

Development of Computer-Based Experiment in Physics for Charging and Discharging of a Capacitor

Company Description : The purposes of this research was development of computer-based experiments in physics using a computer interface experiment and computer simulation to study the charging and discharging of a capacitor. The interfaces are Arduino board, a resistor-capacitor circuit and relay circuit. The software is Arduino 0016 C++, Processing 1.0.9 and Mathematica 7. This is to experiment in measuring and modeling voltage on a capacitor and time while charging and discharging in real-time display. The result of the study was that the measuring voltage across the capacitor and time by computer interface experiment is equal to computer simulation. The average error of the time constant, which compared with the theoretical calculation, is less than 0.50 %.

Product Type : Academic Conferences

Author : Panjit Musik; Faculty of Science and Technology Nakhon Si Thamma

PDF 6p

Languages : English

Towards Semantic Enrichment of Historic Gazetteer Data

Company Description : We report on a project to enhance wealth of geographic information available in historical gazetteer. The information in these gazetteers is fundamental for our understanding of (historic) patterns of movement of the expeditioners in space and time, but the information is in the form of natural language text following some weakly content structure making it difficult to exploit well. With the advancement of new geospatial data handling techniques and wider availability of data we can enhance these gazetteers with an aim to geocode the localities that are described as “Not Located” in it. The tools that we use for the solution are a mix of natural language parsing, spatial ontologies and ontological tagging.

Product Type : Academic Conferences

Author : Gaurav Singh, Department of Geoinformation Processing, Faculty o

PDF 6p

Languages : English

An Extended Pagerank Calculation Including Network Parameters

Company Description : In this paper, we develop a distributed random walk-based pagerank algorithm for P2P systems. This proposed algorithm is used to rank importance of nodes in networks by using a visiting probability of a population of random walks and network parameters to quantify the ranking definition. A method to estimate the rank of node and a convergence factor when focused on an initial static rank is also presented. To illustrate an effectiveness of our work, the work is compared to the PageRank algorithm on both grid and torus grid overlay P2P networks. The simulation results show that the performance of the proposed work is significantly efficient in the node ranking with the bandwidth consideration.

Product Type : Academic Conferences

Author : Sunantha Sodsee,† Maytiyanin Komkhao, Herwig Unger, Faculty of M

PDF 4p

Languages : English

Personalized Recommendation on Discount Coupons

Company Description : We present several recommendation approaches how discount coupon service could be personalized in order to cut down customer’s usage time. The Velo system is already implemented coupon service system in China with millions of users. The proposed approach makes use of customer and dispenser meta data together with previous user coupon prints in order to predict upcoming prints for a customer. The implementation of the service, data collection, and how the implementation affects the customers’ behavior all have an effect on the accuracy of the printed coupons. The analysis of customer characteristics help the service to present relevant coupons to a customer in order both to raise customer’s satisfaction and to aid customers on finding relevant coupons faster. The results show that item recommendation systems provide valuable benefits for coupon service.

Product Type : Academic Conferences

Author : Teemu Mutanen, VTT Technical Research Centre of Finland, Espoo,

PDF 6p

Languages : English

Visualization and Analysis of Regional Water Transport- Based Commodity Flow in the Philippine

Company Description : Graphs have always been used to visualize network data. Through graphs, relationships between entities or nodes can be seen clearly. However, for the visualization of regional water transport-based commodity flow data, a simple graph would not suffice. A method for visualizing regional commodity flow data called Enhanced Flow Mapis presented. It uses weighted edges and colored nodes to illustrate the trade relationship of one region to another. This technique is an enhanced flow map used in [1]. The method is demonstrated by visualizing and analyzing the trade data from the third quarter of 2008. Results show that the proposed methodology is sufficient enough to find trade patterns from the data.

Product Type : Academic Conferences

Author : Rabelais Medina, Jennilyn Rescuber, Jasmine Malinao, Department

PDF 6p

Languages : English

An Analytical Study of the Performance of The Top Four Classification Techniques

Company Description : This paper investigated the performance of four of the top rated classification techniques, namely, Naive Bayes, Knearest Neighbour (K-NN), Decision Tree (ID3) and CART as stated and voted for in the Top 10 data mining algorithms in [20]. We analysed their performance on 10 real nominal datasets and discovered their strengths and weaknesses based on different features of the datasets. It could be seen using the produced results that different features of datasets would determine how fast and accurate the different classification techniques are. This study and the recommendations we provide at the end would help data mining practitioners on deciding the appropriate technique based on the dataset’s number of attributes, instances, class labels and the total size.

Product Type : Academic Conferences

Author : Mariam Adedoyin-Olowe, and Mohamed Medhat Gaber, School of Compu

PDF 5p

Languages : English

Decision Support System for Tourism Service Industry

Company Description : The tourism service sector is highly significant for a country’s economy. Many tourism researches have been studied and developed to suggest attractive places but when concerning seasonality and services, it seemed to be incomplete. This paper proposes a new decision support system model to serve in the tourism service industry by focusing on both factors. Moreover, the algorithm model management was enhanced by applying mining techniques to recommend tourism places. Naive Bayes tree (NBTree) classifier is recommended by this study with a comparison to the basic Decision Tree algorithm. After implemented and evaluated, it seemed NBTree induction was better than the normal tree in two aspects. Firstly, better suggestion by providing advice using NB rules. Secondly, more accurate as evaluated by 10-fold cross validation. Importantly, Tourism knowledge can be interpreted for service providers using mining inductions as well.

Product Type : Academic Conferences

Author : Polkrit Chutipong, Faculty of Information Technology, King Mongk

PDF 6p

Languages : English

OSeC : An Ontology Based Cloud To Model Web 3.0

Company Description : In the current networked globe, Web has proved itself the most advanced and effective way of communication. Most of the information needed in our day to day life is available on internet. Here is a novel approach to model Web 3.0 virtually. Primary focus of this paper will be on the relationship between ontology, cloud computing and semantic web to model Web 3.0. We are trying to model a Search Engine based tool that characterizes the behavior of Web 3.0 by collecting and strategically combining information available on the cloud and ontology database. Our ontology based approach advances the future web in following scenarios: 1) Efficient Mining 2) Quality Analysis of Data These are our efforts to describe a part of the future web.

Product Type : Academic Conferences

Author : Suyog Tasare, Student, Third Year Computer Engineering, Dept. of

PDF 3p

Languages : English

Software as a Service in the Shipping Sector

Company Description : This paper presents an extensive perspective on Software as a Service, and how it can be of use in the Shipping sector. It looks at the cloud computing and its derivatives, explains them and then goes on to explain how they can benefit the shipping sector. The paper is conclusive outcome of the live project which one of the authors guided to a group of students at MIT, Pune as their final year project on Building a Web Based Application on the Force.com Platform , which is considered here as a case study.

Product Type : Academic Conferences

Author : Mrs. Sheetal Vij1 , Mrs. Deepa Adiga2, 1Assistant Professor , De

PDF 3p

Languages : English

29. Collaborative learning in a knowledge community

Company Description : In this paper, we recognize that every individual has something to share and contribute, whether it is factual knowledge or experiential knowledge and present a platform called Knowledge Community (K-Comm) which provides a higher level of engagement for student learning on the web. By having such a platform, we attempt to capture an individual’s knowledge and tap onto the full potential of individuals. Since everyone has something to contribute, this community effort where users help one another formalizes collective intelligence. This Knowledge Community platform is a knowledge-based social network which allows users to contribute and seek information. Users can ask questions or answer questions asked by other members. The platform is built around the philosophy that each individual is an expert in their own area and has the potential to share and contribute. Unlike other social networks, K-Comm does not distract. It encourages knowledge sharing and contribution and promotes collaborative learning.

Product Type : Academic Conferences

Author : Danny Chiang Choon Poo, School of Computing, National, Universit

PDF 5p

Languages : English

Using Web 2.0 Technology to Enhance Student Learning

Company Description : This paper focuses on the use of wikis to enhance group work and collaboration in a financial accounting class. The wiki provided a platform where students could introduce themselves, discuss the task, present and discuss the findings of their research and work on a draft and compose the final answer. Students were at first hesitant to work in groups with students they did not know, on a medium they were not familiar with. After this initial reluctance, and with some encouragement, students completed the task. In addition they completed a reflective survey designed to gather their thoughts about group work and wikis. In general students felt that they gained valuable knowledge and increased their communication, collaboration and computing skills; essential skills for an accounting graduate.

Product Type : Academic Conferences

Author : Robyn A Davidson, University of Adelaide, Australia

PDF 6p

Languages : English

A Framework for Knowledge Management of Conference Information

Company Description : Universities spend millions of dollars to enable researchers to attend conferences throughout the world in order to showcase their research. All the papers that are presented at these conferences are usually documented in the form of published conference proceedings. Very few of these papers are revisited once the researcher had returned from the conference. In this paper the author proposes a methodology that will ensure the productive usage of the knowledge that is embedded in conference papers.

Product Type : Academic Conferences

Author : Abraham G. van der Vyver, Monash South Africa, Ruimsig, South Af

PDF 3p

Languages : English

A Linear Approximation to a Neural Network Model for E-Commerce Anomaly Detection

Company Description : Because of their superior performance over linear models, neural networks are widely used to detect irregular patterns in data. Unfortunately, non-linear models in general, and neural networks in particular, lack transparency and interpretability. In industries where a justification is needed for actions proposed by the model (e.g. customer credit management), a black-box approach for modeling is not desirable. In this paper, we propose a novel technique to convert a non-linear model to an interpretable linear model at the tail of the score range where the actual scores matter. A neural network model to detect anomalies in e-commerce transactionaldata is approximated by linear and logistic regression models at the tail of the score distribution. In this case, a linear relation between input variables and target will be available whenever a justification for an action is needed.

Product Type : Academic Conferences

Author : Reza Khosravani, Department of Electrical and Computer Engineeri

PDF 4p

Languages : English

Comparing supervised and unsupervised artificial neural network for conducting eco-environme...

Company Description : The present study adopts an unsupervised neural network, i.e. the SOM-Ward clustering to conduct ecoenvironmental vulnerability assessment. The 797 assessment units on Fildes Peninsula are clustered based on the ten assessment indexes; the results effectively display the ecoenvironment vulnerability classifications on Fildes Peninsula and the factors that impact them. In addition, the results of the SOM-Ward clustering are compared with those predicted by the back propagation (BP) neural network, further verifying the practicability and reliability of the SOM-Ward model. Based on the results of both models, we summarize the characteristics of the eco-environment vulnerability of the Antarctic ice-free areas, providing further materials for the study of Antarctic eco-environmental.

Product Type : Academic Conferences

Author : Zhiyuan Yao, Department of Information Technologies, Åbo Akademi

PDF 7p

Languages : English

Using Robot Soccer Game To Teach Advanced Computer Science Concepts

Company Description : Robotics has been used extensively in teaching undergraduate Computer Science courses. In this paper we investigate ways to use “intelligent” behavior of robots as a platform to teach advanced computer science concepts in computer vision and program design. We selected robot soccer as our experimental framework. Apart from the intrinsic interest for our students, robot soccer requires advanced computer vision and design of complex behaviors. We used an advanced computer vision library and the state diagram approach for behavior design. In order to facilitate the use of computer vision algorithms for our students we develop a methodology to embed library calls in the state diagrams. To use state diagrams effectively we developed programming templates and translation methodologies for transforming state diagrams into code.

Product Type : Academic Conferences

Author : Bogdan Czejdo & Sambit Bhattacharya, Department of Mathematics a

PDF 18p

Languages : English

Effective Relations in an Open Community of Practice

Company Description : This article studies the strategic occupancies in knowledge sharing networks for school technology coordinators. We proposed that subjects who were identified by other subjects in a knowledge acquisition network were impressive knowledge prestige. This study is to investigate the network characteristics of knowledge contribution that can predict prestigious relations. Results reveal that structural hole of knowledge contribution has effects on knowledge prestige. Results also reveal deficiencies of knowledge dissemination in STC communities. These findings are valuable to studies of the knowledge management practices of other professionals.

Product Type : Academic Conferences

Author : Fang-Ling Lin, Department of Information Management, Lunghwa Uni

PDF 5p

Languages : English

Test environment using Bootstrap for Knowledge Discovery Applications

Company Description : It is virtually impossible to test thoroughly Web Mining Applications based on Supervised Learning with pure empirical data, due to the need for human intervention to generate training sets and test sets. On the other hand, because the heterogeneity nature of the Internet it is difficult to extend the results obtained with these sets to other Web pages. We propose using the computer-based Bootstrap paradigm to design a test environment where they are checked with better confidence. In addition, it is possible to go further, by varying the characteristics of the sample, getting a better understanding of the performance of the mining application. Social networks and blogs mining is a good example where our methodology can be applied, where often it is challenging to find a sample of enough size for a particular matter. To show the application of our methodology we have tested several models used as Web page classifiers based on pattern analysis. These classifiers have been largely studied, but their evaluation and comparison is not well developed yet. We demonstrate with our test technique that it is possible to have deeper understanding on their performance. The Bootstrap approach is a powerful tool for all related works with the Internet, it allows to create test environments that can simulate real conditions with less human effort, building excellent test beds for applications that are difficult to replicate their working conditions.

Product Type : Academic Conferences

Author : Rafael León Sanz, José Manuel Rojo, Ramón Galán, Intelligent Con

PDF 5p

Languages : English

Recommending in the Long Tail of 0−1 Data using Highly Correlated Pairs of Group of Items

Company Description : Among difficulties encountered by modern shopping recommenders one of the most important is the long tail shape of sold items which is also related to cold-start issues. Various approaches including content-based recommendations attempt to overcome this problem which has a serious impact on the accuracy of recommendations especially when new products are continuously added to the catalogue. A hybrid approach that combines recommendations based on highly correlated pairs of concrete items (existing items) with abstract items (based on the item taxonomy) is proposed in this paper (Abstract- Concrete Recommendation- ACReco). The ACReco algorithm is evaluated on an in-house and a benchmark of 0-1 Data (the Ta Feng data). "Given-n" protocols experimental results show significant improvements in both the recommendation accuracy and the recommendation of products in the long tail. The overall efficiency of the approach relies on the available Product Taxonomy.

Product Type : Academic Conferences

Author : TRAN NGUYEN Minh Thu 1, HO Tuong Vinh†, François SEMPE1 and Jean

PDF 6p

Languages : English

Investigating Inter-Organization (IO) Knowledge Transfer in Global Supply Chain Relationship

Company Description : To investigate IO knowledge transfer in global supply chains a representative case was selected that consists of a number of laboratory analysis equipment dealer companies in Thailand and their customer companies in different industries in various parts of the world. Using a survey questionnaire data were collected from 73 employees of dealer companies and 87 employees of their customer companies scattered in different industries worldwide. The structural analysis technique indicates that the intraorganization characteristics of the dealer companies – which are supposed to transfer necessary knowledge to their customers – has no significant relationship with nature of knowledge that is transferred nor with the inter-organization management. Moreover there is no statistical significance in the intra-organization relationships within the client companies – who are the recipients of the transferred knowledge, perhaps because the majority of laboratory analysis equipment dealer companies import a great part of their products from overseas companies and they do not possess the technology themselves. As a result, the knowledge transferring procedure does not have much impact on the nature of knowledge transfer and the inter-organization practices or the intra-organization dynamics of buying companies.

Product Type : Academic Conferences

Author : Lugkana Worasinchai, Bangkok University, Thailand, & Farhad Dane

PDF 4p

Languages : English

Organizer : Global Science & Technology Forum

GSTF provides a global intellectual platform for top notch academics and industry professionals to actively interact and share their groundbreaking research achievements. GSTF is dedicated to promoting research and development and offers an inter-disciplinary intellectual platform for leading scientists, researchers, academics and industry professionals across Asia Pacific to actively consult, network and collaborate with their counterparts across the globe.