Generative AI-Empowered Multimodal Intelligent Teaching Assistants for Physical Chemistry Education: Practice, Innovation, and Pedagogical Exploration

DOI: https://doi.org/10.62517/jhet.202615238

Author(s)

Hongyan Li*, Zhiwang Liu, Wei Wen

Affiliation(s)

School of Chemistry and Materials Science, Jinan University, Guangzhou, Guangdong, China *Corresponding Author

Abstract

As a basic course with deep theoretical knowledge, abstract ideas and complicated experimental steps, Physical Chemistry is quite difficult for students to master both in terms of concept and practical application. The conventional teaching methods usually have some shortcomings in arousing the interest of the learners and giving individualized teaching assistance. In this research, a multimodal intelligent teaching assistant based on generative artificial intelligence (AI) has been developed by combining various educational resources such as textual materials, visual contents, instructional videos and virtual simulation experiments. The system is intended to solve some important problems in Physical Chemistry teaching, for example, the difficulty in understanding concepts, the lack of chance to do experiments, the few learning routes and the insufficient personalized instruction. The results show that the proposed framework can not only improve the students' learning enthusiasm and concept attainment, but also enhance the teaching efficiency and promote the fair distribution and sharing of educational resources.

Keywords

Generative AI; Physical Chemistry; Multimodal Teaching; Virtual Experiments; Personalized Learning

References

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