Skip to content

Author

Xin-Chen Li

1 paper indexed here

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

Conference Open access 2026

Generative Artificial Intelligence Restructuring the Education Model: The Science Learning Modes for Pupils

Currently, generative artificial intelligence (GAI) has developed rapidly, while science education is a key part of the artificial intelligence (AI)-transformed modern society. Thus, the issue of combining AI with science education has become a hot topic of focus for educational researchers. Several researchers have investigated the applications and challenges of ChatGPT in middle and high schools. However, there is still a knowledge gap in the changes of learning modes for students in primary schools in the age of AI. Therefore, this study explores the relationship between ChatGPT and science learning modes for pupils based on a detailed review of established literature. The review finds that GAI is positively associated with many educational outcomes. For instance, teachers use GAI to prepare personalized learning materials, engage in interactive dialogue during the students’ learning phases, and provide effective feedback in time. The broad application of GAI helps students’ learning process transform from rigid memorization to active exploration. It can also improve the cultivation of scientific thinking and abilities of “observation - inquiry - exploration - conclusion”.

Xin-Chen Li · 0 citations