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Designing a Course Recommendation System on Web based on the Students’ course Selection Records Ko-Kang Chu, Maiga Chang and Yen- The Hsia (Dept. of Information.

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Presentation on theme: "Designing a Course Recommendation System on Web based on the Students’ course Selection Records Ko-Kang Chu, Maiga Chang and Yen- The Hsia (Dept. of Information."— Presentation transcript:

1 Designing a Course Recommendation System on Web based on the Students’ course Selection Records Ko-Kang Chu, Maiga Chang and Yen- The Hsia (Dept. of Information and Computer Engineering, Chung-Yuan Christian Univ. Taiwan) Presented by Sharon HSIAO Jan.2007

2 agenda Introduction Prediction methodology & Recommendation Process Results & Evaluation Proposed Future Research

3 introduction Focus on relation between course categories and student’s preferences Preference: Mandatory courses should not be taken into consideration when analyzing students preference Category: Classify courses>>Each course covers more than one category>>weigh courses Fuzzy: AI(90%),Research(85%),Math(70%) Neural Networks: AI(90%),Research(85%),Math(70%) Ken: Fuzzy and Neural Networks Objective: construct a web-based course recommendation system that only depends on the courses chosen by students

4 Prediction methodology Datamining technique: Apriori algorism (Agrawal & Srikant, 1994)

5 Recommendation process Classifying courses/designing weights Collecting Students’ Course Selection Records Make Suggestions to Student Construct Important Orders of Categories Merge Rules into A Preference Sequence

6 Results and Evaluation 4 consecutive terms, senior college students Class 2001: 127 students’ course selection record, 34/83 questionnaires response Class 2002: 102, 100% response rate 6 categories: research, theory, math, hardware, software, network (information science)

7 Accuracy rate for preference sequence General assumption: 4 th term should have the highest accuracy rate Explanation: fewer prerequisites, more electives, tend to follow graduate school guidance Class 2002: target 13 students who plan to go to graduate school straight after college

8 Proposed Future Research Student’s needs change analysis How to find course categories classified by students? What are the relations among courses in student’s mind? Time series analysis Is it possible to develop or plan a series of courses depends on the student’s major interests?


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