Research and Practice of Student Comprehensive Evaluation System Based on AI under the Background of Big Data

Abstract

With the rapid development of big data and artificial intelligence technologies, the education field is undergoing unprecedented changes. The traditional student evaluation system generally relies on subjective evaluation and standardized tests, with drawbacks such as strong subjectivity and single evaluation dimensions. This research uses big data and artificial intelligence technologies to collect and mine college students’ learning and living behavior data, constructs an index system for college students’ comprehensive quality evaluation, and develops a student comprehensive evaluation system to provide decision-making basis for students’ growth, education and teaching, and job selection and employment.