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October 27, 2025IJCER (International Journal of Chemistry Education Research)Open Access

AI-Powered Chatbots in Science Education: Meta-Analysis of Pedagogical Integration and Student Achievement

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AI chatbots increased student achievement in science education, showing a moderate overall effect size of 0.610.
Analysis from 26 empirical studies revealed significant effectiveness variations based on socio-economic context and pedagogical design.
Use of AI tools enhanced learner engagement and satisfaction while results on self-efficacy were mixed.
Study indicates a need for theory-informed integration of technology in education to maximize learning outcomes.

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Implication

Meta-analysis shows artificial intelligence chatbots improved student achievement in science education, indicating the need for context-sensitive pedagogical strategies.

Cite This Study

Dizon et al. (2025) studied this question.

synapsesocial.com/papers/68ff87f1c8c50a61f2bdd5fe https://doi.org/10.20885/ijcer.vol9.iss2.art4

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Implication

Meta-analysis shows artificial intelligence chatbots improved student achievement in science education, indicating the need for context-sensitive pedagogical strategies.

AI-Powered Chatbots in Science Education: Meta-Analysis of Pedagogical Integration and Student Achievement

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Discussion

Implication

Cite This Study

AI-Powered Chatbots in Science Education: Meta-Analysis of Pedagogical Integration and Student Achievement

Key Points

Discussion

Implication

Cite This Study

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