Online Learning Behavior Evaluation Modeling and Application

doi:10.23940/ijpe.18.11.p34.28862896

Int J Performability Eng ›› 2018, Vol. 14 ›› Issue (11): 2886-2896.doi: 10.23940/ijpe.18.11.p34.28862896

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Online Learning Behavior Evaluation Modeling and Application

Yu Sun^a, Yanlong Sun^a, Bin Wen^a, and Lin Tang^{b, *}

^a School of Information, Yunnan Normal University, Kunming, 650500, China;
^b Key Laboratory of Educational Informatization for Nationalities Ministry of Education, Yunnan Normal University, Kunming, 650500, China

Submitted on ;
Contact: * E-mail address: maitanweng2@163.com
About author:Yu Sun received her bachelor's degree from East China Normal University, her Master's degree from Yunnan Normal University, and her Ph.D. from Chinese Academy of Sciences. She is currently a professor at Yunnan Normal University. Her current research interests include intelligent?education.Yanlong Sun graduated from the School of Information at Yunnan University with a bachelor's degree. He is currently a Master's candidate in the School of Information at Yunnan Normal University. His main research interests include intelligent education and educational technology.Bin Wen received his bachelor's degree and Master's degree from?Yunnan Normal University and his Ph.D. from China University of Mining. He is currently an associate professor at Yunnan Normal University. His research focuses on knowledge discovery metamodels.Lin Tang graduated from Shanghai Jiaotong University with a bachelor's degree and Chinese Academy of Armament Sciences with a Ph.D. He worked as an engineer at China North Industries Group Corporation Limited from 2004 to 2015. He is currently a senior engineer at Yunnan Normal University. His main research interests include video mining and probabilistic graphical models.

Abstract

Abstract: To motivate learners’ online learning behavior, this paper attempts to inspire online learners’ effective learning behavior in a data-driven way through the learning performance of online learners. Firstly, a theoretical model of online learning behavior evaluation with knowledge acquisition dimension, collaborative communication dimension, and learning attitude dimension was proposed and discussed in detail. Secondly, to realize the model, data from 1000 learners (20 general education courses) on the “Erya Online Classroom” learning platform of Yunnan Normal University was collected, and SPSS 22.0 was used to study the correlation between each evaluation index and the final exam results. Finally, 1000 online learners’ learning behavior data was taken in order to verify the validity of the model. The authors considered two models and compared the final evaluation results with the learner’s final exam results to verify the validity of the model.

Key words: online learning behavior, evaluation model, theoretical model, weighted comprehensive evaluation, fuzzy comprehensive evaluation

Yu Sun, Yanlong Sun, Bin Wen, and Lin Tang. Online Learning Behavior Evaluation Modeling and Application [J]. Int J Performability Eng, 2018, 14(11): 2886-2896.

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