Title
Finding A Fitting Learning Path In E-Learning For Juvenile
Abstract
Although students can learn independently in the environment of e-learning or online-learning, they have to determine "what to learn" and "where to go" in each learning node, so, it relatively consumes mental and physical efforts during learning that results in cognitive overload, therefore, students are easy to feel anxious about information due to said cognitive overload Such issues could be reduced and improved by proper guidance of teacher in the real world However in the virtual e-learning world, teacher couldn't get information from students and instruct them face-to-face like the real world, thus, edition of contents and tutoring system behind e-learning are the key actor Object of this paper is to collect the learning history record of students during e-learning, and then use decision tree learning with ID 3 algorithm to discover strenuous place in the hyper-link of e-learning in order to avoid anxiety of e-learning.
Year
DOI
Venue
2007
10.1109/ICALT.2007.144
7TH IEEE INTERNATIONAL CONFERENCE ON ADVANCED LEARNING TECHNOLOGIES, PROCEEDINGS
Keywords
Field
DocType
web pages,computer applications,decision tree learning,history,application software,computer science,cognitive overload,electronic learning,educational technology,distance learning,psychology,decision trees
Educational technology,Experiential learning,World Wide Web,Active learning,Active learning (machine learning),Computer science,Synchronous learning,Mathematics education,Blended learning,Cooperative learning,Multimedia,Sequence learning
Conference
Citations 
PageRank 
References 
2
0.42
4
Authors
2
Name
Order
Citations
PageRank
Jin-Cherng Lin113616.88
Kuo-Chiang Wu272.42