Characteristics of students’ learning behavior preferences — an analysis of self-commentary data based on the LDA model

Journal of Intelligent & Fuzzy Systems - Tập 46 Số 2 - Trang 4495-4509 - 2024
Dingpu Shi1, Jincheng Zhou2,1, Feng Wu3, Dan Wang4, Duo Yang1, Qingna Pan1
1School of Computer and Information, Qiannan Normal University for Nationalities, Duyun, China
2Key Laboratory of Complex Systems and Intelligent Optimization of Guizhou Province, Duyun, China
3No. 2 High School of Duyun, Duyun, China
4School of Mathematics and Statistics, Qiannan Normal University for Nationalities, Guizhou Duyun, China

Tóm tắt

How to better grasp students’ learning preferences in the environment of rapid development of engineering and science and technology so as to guide them to high-quality learning is one of the important research topics in the field of educational technology research today. In order to achieve this goal, this paper utilizes the LDA (Latent Dirichlet Allocation) model for text mining of the survey results on the basis of a survey on students’ self-perception evaluation. The results show that the LDA model is capable of extracting terms from text, fuzzy identifying groups of students at different levels and presenting potential logical relationships between the groups, and further analyzing the learning preferences of students at different levels for IT courses. Based on the student’s learning needs, this paper proposes recommendations for developing students’ learning effectiveness. The LDA method proposed in this paper is a feasible and effective method for assessing students’ learning dynamics as it generates cognitive content about students’ learning and allows for the timely discovery of students’ learning expectations and cutting-edge dynamics.

Từ khóa


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Thông tin xuất bản

Journal of Intelligent & Fuzzy Systems

Tập 46 Số 2

4495-4509

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