Learning Analysis Based on Learners Learning Model
International Journal of Elementary Education
Volume 7, Issue 1, March 2018, Pages: 1-6
Received: Feb. 23, 2018;
Published: Feb. 27, 2018
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Wang Wangzhu, School of Foreign Languages, South-Central University for Nationalities, Wuhan, China
Liao Zhixin, School of Computer, Central China Normal University, Wuhan, China
Deng Yi, School of Computer, Central China Normal University, Wuhan, China
Xu Song, School of Computer, Central China Normal University, Wuhan, China
Guo Xiaoyu, School of Computer, Central China Normal University, Wuhan, China
Ye Junmin, School of Computer, Central China Normal University, Wuhan, China
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In the era of big data and artificial intelligence, collecting and analyzing learners learning data can modle and predict learners learning trend and help learners avoid risks of academic failures. For those purposes, this paper presents a learning analysis method based on learners learning model. First, the teaching model of the curriculum is put forward to support the learning data analysis. Secondly, various methods including questionnaire are used in data collection and quantification of learners offline learning data so that all the meaningful data can be transformed into the numerical data that can be processed; thirdly, the linear fitting method is used to analyze the learning data and predict the learners learning trend. The results show that the linear fitting method can effectively describe learners learning trend.
Learning Trends, Data Analysis, Linear Fitting
To cite this article
Learning Analysis Based on Learners Learning Model, International Journal of Elementary Education.
Vol. 7, No. 1,
2018, pp. 1-6.
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