Research on the Model and Effect of Generative AI Empowering Classroom Interaction in Basic Education
Year: 2025
Type: article
Abstract: : This research systematically analyzes recent Chinese and English literature to clarify the core patterns, multidimensional effects, and key challenges of generative AI in empowering classroom interactions within basic education. Findings reveal that generative AI primarily reconstructs the “teacher-student-machine” triadic interaction structure by assuming three roles: “context co-creator,” “thinking coach,” and “personalized tutor.” Its enabling effects are significantly supported by empirical evidence across three dimensions-cognitive deepening, behavioral engagement, and emotional investment-though effect intensity is moderated by factors such as subject domain, application methods, and teaching scale. Nevertheless, inherent technological issues like “hallucinations” and “black-box” problems, potential risks of “over-empowerment,” and insufficient teacher adaptability constitute major barriers to its deep application. Therefore, this research concludes that future practice must transcend technological instrumentalism and shift toward building a new “human-machine symbiosis” educational ecosystem. This ecosystem should center on teachers' design wisdom and humanistic guidance, aiming to foster students' higher-order thinking and responsible human-machine collaboration. This approach will achieve a qualitative transformation in classroom interaction and a return to the essence of education. Keywords: Generative AI; Classroom Interaction; Empowerment Model; Learning Effectiveness; Human-Machine Collaboration. Title: Research on the Model and Effect of Generative AI Empowering Classroom Interaction in Basic Education Author: Jundan Wang, Zhiqiang Chen, Liang Mutang International Journal of Novel Research in Education and Learning ISSN 2394-9686 Vol. 12, Issue 6, November 2025 - December 2025 Page No: 21-29 Novelty Journals Website: www.noveltyjournals.com Published Date: 26-December-2025 DOI: https://doi.org/10.5281/zenodo.18059365 Paper Download Link (Source) https://www.noveltyjournals.com/upload/paper/Research%20on%20the%20Model%20and%20Effect1-26122025-2.pdf
Authors: Jundan Wang, Zhiqiang Chen, Liang Mutang
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: green
OpenAlex ID: W7117417635
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