Author(s)

Ji Li¹, Jin Lu^2*

Affiliation(s)

¹Research Management Office, Shenzhen Polytechnic University, Shenzhen 518055, Guangdong, China.

²Guangdong Key Laboratory of Big Data Intelligence for Vocational Education, Shenzhen Polytechnic University, Shenzhen 518055, Guangdong, China.

Corresponding Author

Jin Lu

ABSTRACT

With the rapid development of information technology, educational big data gradually become an important resource in the field of education. Characteristic by large data volume, diverse types and low value density, educational big data can provide rich information support for education and teaching. Higher-order thinking, as a necessary quality of innovative talents, has been increasingly valued in the field of education. Educational big data is closely linked to the development of higher-order thinking, and through the analysis of educational big data, it can provide an in-depth understanding of students’ learning behaviors and provide a basis for the cultivation of students’ higher-order thinking. The purpose of this paper is to explore the mechanism of promoting the development of students‘ higher-order thinking through the analysis of students’ learning behaviors in the perspective of education big data. After training, the machine automatically annotated text used in the examples of this paper achieves a score of 4.5 or more, with an accuracy rate close to 0.98, which can meet the needs of classroom applications. It can be seen that when this paper is applied to actual classroom evaluation, it lays an important foundation for carrying out large-scale comparative research on classroom teaching as well as digging into the laws of classroom dialogue, and it can break down the barriers of mathematics teaching between districts and schools, break down the effect of data silos, and provide a relatively uniform basis for the comparison and evaluation of the level of classroom teaching.

KEYWORDS

Big data in education; Higher order thinking; Learning behaviour analysis

CITE THIS PAPER

Ji Li, Jin Lu. Approach to learning behaviour analysis for higher-order thinking development: educational big data perspective. Trends in Social Sciences and Humanities Research. 2024, 2(10): 1-7. DOI: https://doi.org/10.61784/tsshr3093.

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