Practical Research on Optimizing Primary School Science Experiment Teaching with Artificial Intelligence Technology
Year: 2025
Type: article
Abstract: This study focuses on using artificial intelligence (AI) technology to optimize primary school science experiment teaching. Through an analysis of the current application status of AI in primary school science experiment teaching, it was found that problems such as limited application scope, scarce teaching resources, and insufficient teacher application capabilities exist. Research methods including literature review, questionnaire surveys, and teaching experiments were employed to construct an AI-assisted primary school science experiment teaching model, optimizing various aspects such as experimental design, teaching processes, and evaluation feedback. The results show that the application of AI technology has significantly enhanced students' interest in science experiments, improved their experimental operation skills and scientific inquiry abilities. Meanwhile, teachers have a high level of satisfaction with AI-assisted teaching, though challenges in technical stability and teacher training still require improvement. This study provides valuable practical experience and theoretical support for the innovative development of primary school science experiment teaching.
DOI: 10.54097/13ct6v97
Author: Yonglu Sun
Institution: Yunnan Technology and Business University
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: diamond
OpenAlex ID: W4410878348