Learning case adaptation for problem-oriented e-learning on mathematics teaching for students with mild disabilities

Hui Chuan Chu, Min Ju Liao, Tsung Yi Chen, Chia Jou Lin, Yuh Min Chen

Research output: Contribution to journalArticlepeer-review

10 Citations (Scopus)

Abstract

Both problem-oriented learning and case-based learning are effective methods for practical knowledge development. However, an automatic development of learning cases for adaptive learning is still an open issue. To support adaptive case-based learning in a proposed problem-oriented e-learning (POeL) environment and to address the complexity and diversity of the learning problems of students with mild disabilities, this study presents a learning case adaptation framework to support problem-oriented e-learning. This framework provides mechanisms to search and match similar learning cases according to encountered teaching problems by information retrieval techniques and to develop an adaptive learning case by adaptation techniques. Adaptation techniques include a substitution technique, a removal technique, and a composition technique, and utilize cosine-measure and genetic algorithm. In this research, adaptive learning cases were developed for teaching students with mild disabilities so as to assist regular and special education teachers to develop practical knowledge of teaching more effectively.

Original languageEnglish
Pages (from-to)1269-1281
Number of pages13
JournalExpert Systems With Applications
Volume38
Issue number3
DOIs
Publication statusPublished - 2011 Mar 1

All Science Journal Classification (ASJC) codes

  • Engineering(all)
  • Computer Science Applications
  • Artificial Intelligence

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