Extending e-Books with Contextual Knowledge Recommenders by Analyzing Personal Portfolio and Annotation to Help Learners Solve Problems in Time

  • Authors:
  • Chin-Yeh Wang;Fu-Hsiang Wei;Po-Yao Chao;Gwo-Dong Chen

  • Affiliations:
  • National Central University;National Central University;National Central University;National Central University

  • Venue:
  • ICALT '04 Proceedings of the IEEE International Conference on Advanced Learning Technologies
  • Year:
  • 2004

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Abstract

When students encounter problems during learning process, they needs in time support. Nevertheless, most references or answers are distributed in different books or Web content. Therefore, students need to break their reading process and spend much time to search answers from different reference books. Otherwise, increased frustration and confusion will decrease studentsý learning performance. This research proposed a web-based learning environment with contextual knowledge and expert recommending mechanisms for studentsý problem solving when they are reading e-books. A Web dictionary and a library of examples were constructed beforehand to support students referring. A Q&A forum was also constructed for students consulting directly. Classmates will be notified as mentors to answer peersý questions if those articles in forum could not solve studentsý questions. Experiment results show that students prefer referring knowledge and joining discussion in our system then the same system just without those functions. Our mechanism also shortened the response time about studentýs questions posting in forum.