NDLI: Cloud-based strategy for evaluation and reformation of teaching plan

Content Provider	IEEE Xplore Digital Library
Author	Jie Li Zhixiao Yang
Copyright Year	2011
Description	Author affiliation: College of Information Science and Engineering, Henan University of Technology, Zhengzhou, China (Zhixiao Yang) \|\| The Modern Education Technology Center, Physical Education College of Zhengzhou University, China (Jie Li)
Abstract	Currently, effect evaluation for teaching plan is based on certainty method, which cannot describe fuzziness and randomness in the process that students' scores indicate their knowledge grasp extent. An uncertainty-based method is proposed to mine and forecast students' knowledge grasp status. Cloud of knowledge acquisition status is designed to describe fuzziness and randomness of knowledge grasp extent. A cloud-based mining and forecasting algorithm is proposed for knowledge grasp extent. Positively producing a drop through the knowledge grasp cloud, a value indicating the effect of current teaching plan to new students, and its certainty degree, can be generated. Taking the course of principles and applications of microcomputer as an example, effectiveness of the proposed method in mining and forecasting of knowledge grasp extent, and in teaching plan reformation, is demonstrated.
Starting Page	90
Ending Page	93
File Size	367170
Page Count	4
File Format	PDF
ISBN	9781612841809
e-ISBN	9781612841816
DOI	10.1109/FSKD.2011.6019583
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-07-26
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	fuzziness Uncertainty uncertainty data mining Knowledge acquisition Education knowledge acquisition status Entropy randomness Numerical models Helium Mathematical model cloud model
Content Type	Text
Resource Type	Article

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