Exploration and Practice of the Application of Artificial 
Intelligence in Scientific Experiment Teaching

Zengyue Zheng

doi:10.70711/neet.v2i12.6210

Exploration and Practice of the Application of Artificial Intelligence in Scientific Experiment Teaching

Zengyue Zheng

Abstract

This article explores the application prospects and implementation methods of artificial intelligence in scientific experimental teaching. By analyzing the development of artificial intelligence and its current application status in the field of teaching, and combining examples
to discuss the feasibility of applying artificial intelligence in experimental teaching. Through specific experimental cases for application exploration, the actual utility of artificial intelligence was analyzed, and through effect evaluation and optimization, the powerful potential and
positive impact of artificial intelligence were demonstrated. This study aims to promote the modernization of scientific experimental teaching
and provide theoretical and practical references for future research in related fields.

Keywords

Artificial intelligence; Scientific experimental teaching; Application exploration; Effect evaluation; Teaching optimization

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References

[1] Liu Zhi. Research and Application of Machine Teaching Methods for Human Computer Collaboration [J]., 2021

[2] Fan Yang. Teaching and Learning Together: Research on Machine Teaching and Learning in Deep Learning [J]., 2022

[3] Chen Tingting. Research on the Integration of Artificial Intelligence into Urban Social Governance: A Case Study of the Digital Society

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DOI: http://dx.doi.org/10.70711/neet.v2i12.6210

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