| Summary: | 碩士 === 國立清華大學 === 通訊工程研究所 === 105 === Massive open online courses (MOOCs) offer valuable opportunities for freedom in learning; however, many learners face cognitive overload and conceptual and navigational disorientation.
Especially, when studying in the scenarios with complex material, there is a need for both effective learning strategies and the management of knowledge and information.
The knowledge maps are a powerful tool that is have the spatial learning strategies by visualizing the knowledge.
In this study, we used handouts to automatically build domain-specific knowledge maps for MOOCs.
We considered handouts as conceptual models created by teachers, and we performed text mining to extract keywords from MOOC handouts and used the structure of the handouts to extract relations between keywords.
Each knowledge map is based on the structure of the handouts, each consisting of an outline, title, and content.
Our experiments of a course prove the proposed the knowledge map generator is faster than manual knowledge map, moreover, it is quite accurate.
The average similarity of our system is high at almost 80\%, and the highest similarity one is 95.8\%.
The findings suggest that using handouts to build knowledge maps is feasible.
This feature is valuable for learners to quick identify the relation between the concepts in every week.
We hope that the proposed system help learners to review, consolidate, and clarify the relation between the concepts.
The overall idea and steps will be presented in this study.
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