NDLI: Cognitive assessment evaluation based on Blue-Red trees Inference of Rule-Space Model and social network learning

Content Provider	IEEE Xplore Digital Library
Author	Yung-Hui Chen Deng, L.Y. Chiou-Yng Lee Huan-Chao Keh Yi-Jen Liu Yen, N.Y. Weng, M.M.
Copyright Year	2010
Description	Author affiliation: Department Computer Science and Information Engineering, St. John's University, Taiwan, R.O.C. (Deng, L.Y.) \|\| Department of Computer Information and Network Engineering, Lunghwa Univerisity of Science and Technology, Taiwan, R.O.C. (Yung-Hui Chen; Chiou-Yng Lee) \|\| Department of Computer Science and Information Engineering, Tamkang University, Taiwan, R.O.C. (Huan-Chao Keh; Yi-Jen Liu; Yen, N.Y.; Weng, M.M.)
Abstract	It is getting important that learning reciprocally from social network to intelligent e-learning system. In this paper, we used the Rule-Space Model to infer reasonable Blue-Red trees of learning performance and their definitions through analyzing learning objects of courses within system. We can derive social network learning grouping algorithms from previous definitions. They include one-to-one group collaborative learning algorithms. Further, we use these algorithms to build a social network learning system and apply to the Online Learning and Test System based on Analysis of Learning Performance and Social Network Learning Feedback. Besides learners are able to self-learning through Recommended Table to the Remedial Learning Objects for the Course, they can find out reasonable mutual learning targets by the suggestion of Blue-Red Trees Database of Learning Performance from the Social Network Learning System. There are the same results to improve the self-learning direction of learners and remedy the weaker learning objects for the course by internal cyclic feedback, and can also improve learning materials and items of the ITE Licenses Course by external cyclic feedback.
Starting Page	254
Ending Page	259
File Size	1041403
Page Count	6
File Format	PDF
ISBN	9781424467082
e-ISBN	9781424467099
DOI	10.1109/UMEDIA.2010.5544451
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-07-05
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis System testing Social network services Blue-Red Tree Learning systems Intelligent networks Social Network Electronic learning Feedback Rule-Space Model Collaborative work Performance analysis Relevance Feedback Intelligent systems Self-Regulation
Content Type	Text
Resource Type	Article

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