Title
Learning case adaptation for problem-oriented e-learning on mathematics teaching for students with mild disabilities
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.
Year
DOI
Venue
2011
10.1016/j.eswa.2010.06.037
Expert Syst. Appl.
Keywords
Field
DocType
problem-oriented e-learning,adaptation technique,adaptive learning,composition technique,case adaptation,mathematics teaching,students with mild disabilities,case adaptation framework,mild disability,similar learning case,information retrieval technique,case-based learning,problem-oriented learning,special education,genetic algorithm,information retrieval
Robot learning,Experiential learning,Algorithmic learning theory,Instance-based learning,Computer science,Synchronous learning,Artificial intelligence,Cooperative learning,Adaptive learning,Machine learning,Proactive learning
Journal
Volume
Issue
ISSN
38
3
Expert Systems With Applications
Citations 
PageRank 
References 
6
0.46
14
Authors
5
Name
Order
Citations
PageRank
Hui-Chuan Chu120615.90
Min-Ju Liao2242.54
Tsung-Yi Chen328823.49
Chia-Jou Lin4262.47
Yuh-Min Chen537932.12