Construction and Effect Analysis of AI-enabled Hybrid Learning Model

Wenzheng Cai

doi:10.54097/f6xa6t51

Authors

Wenzheng Cai

DOI:

https://doi.org/10.54097/f6xa6t51

Keywords:

Artificial Intelligence, Blended Learning, Teaching Model Innovation, Learning Effect Evaluation

Abstract

With the rapid development of information technology, the field of education is experiencing unprecedented innovation and change. Artificial intelligence (AI), as a representative of cutting-edge technology, is profoundly changing the traditional education model, especially showing great potential in blended learning. Blended learning is a teaching model that combines the advantages of traditional classroom teaching and online learning, enabling students to interact with teachers and classmates in a face-to-face teaching environment, while using network resources for independent learning, thereby improving learning effects. This paper aims to explore the construction of AI-enabled blended learning models and their effect analysis, in order to provide theoretical reference and practical guidance for educational practice.

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