Abstract
This research aims to use information technology to construct digital learning material, and discusses its design and application possibilities. This paper presents the process and result of our research related to the project “Shannon Sutra: Digital Learning Content and Experimental Research on Chinese Herb Medication Safety” granted by National Science Foundation. In this research, we use multi-level topic map digital learning material model to render tremendous original assets, and then embed text-mining techniques in course engine to produce topical learning materials. The autonomous method can process raw data and original document to generate meaningful search results, and thus develop to be well-structured learning material. Self-Organizing Map system helps to demonstrate rich and professional information and knowledge structure; it provides customized and interactive learning dynamic to support both progressive and constructive learning styles; it has autonomous system to afford easy and convenient operation for information search. With topic map system, learners can interact with the dynamic topic map and receive instantaneous and accurate feedback of most wanted result.
| Keywords: | digital learning material; topic map; self-organizing map; Chinese herb medication |
|---|
[Chinese Version | Index | Journal of Educational Media and Library Sciences | Other Journals | Subscription form | Enquiry ]
Mail any comments and suggestions to
hkier-journal@cuhk.edu.hk .