A Hybrid Recommendation System for SCORM-Compliant Courses

• Main Authors: Shu-Wei Yeh, 葉書瑋
• Other Authors: Louis R. Chao
• Format: Others
• Language: zh-TW
• Published: 2008
• Online Access: http://ndltd.ncl.edu.tw/handle/62490493165681855755

碩士 === 淡江大學 === 資訊工程學系資訊網路與通訊碩士班 === 96 === With the development of internet technology, interactive distance learning is becoming a new trend of E-learning. In the future, we believe that there will be a large number of digital SCORM-compliant courses in repository for the user. Consequently, when a learner confronts a large amount of learning materials, it is hard to select appropriate and preferred courses to learn. This thesis proposed a hybrid recommendation system for SCORM-compliant courses. By using three proposed recommendation modules, it can raise the accuracy of searching course and increase the performance of learning. With the proposed system, learner can get the most appropriate courses. It not only can save the time for searching courses, but also recommends the adaptive and personal courses for different learners.