Volume 2, 2024 - Issue 1
Current Research Status of Student Performance Analysis in the Context of Big Data in Higher Education
Abstract
Big data in education has become a driving force for educational transformation and innovation, emerging as a prominent area of focus in educational technology research. In the context of big data in higher education, student performance analysis is a key issue that has garnered significant attention from researchers and institutions alike. This review provides a systematic overview of student performance analysis from the perspective of educational data mining. The process of student performance analysis is categorized into three steps: the acquisition and preprocessing of educational big data, methods for analyzing student performance, and the visualization and application of data analysis results. Various methods for student performance analysis and their applications are introduced in detail, summarizing existing research and providing insights into future research directions.
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