A hybrid model combining environmental analysis and machine learning for predicting AI education quality.

ABSTRACT: Due to the evolution of the management system of educational institutions, the need to use artificial intelligence-based tools in the university is felt more and more. Therefore, platforms based on artificial intelligence (AI) are getting more developed day by day. Therefore, in this study, firstly, by dividing the macro environment into three different parts, including external, intermediate, and internal, a set of corrective measures in the university teaching and learning management in the background of AI education is proposed, and also the effects of their application in the management of teaching and learning in universities were discussed. Also, in order to evaluate the quality of AI training programs in higher education, a new approach based on the multilayer perceptron (MLP) algor

SUBMITTER: Ren X 

PROVIDER: S-EPMC11993617 | biostudies-literature | 2025 Apr

REPOSITORIES: biostudies-literature