With the rapid development of artificial intelligence (AI) technology, especially the application of large models in various fields, the education sector has begun to explore how to use this technology to improve traditional educational quality evaluation models. Traditional education quality evaluation has many limitations, such as strong subjectivity and a single evaluation dimension, while AI large models, by processing massive data, can provide more comprehensive and accurate evaluation results. This paper proposes a new higher education quality evaluation model based on AI large models, builds a multi-dimensional and multi-level evaluation framework, and suggests specific methods for model training, data collection, and processing. Through theoretical analysis and model design, this paper provides a new evaluation tool and approach for educational managers, promoting the intelligence and scientific development of educational quality evaluation.

AI large model;Educational quality;Evaluation model;Higher education;Intelligence

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DOI： https://doi.org/10.62639/ssperi06.20250103

Published： 2025