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教师教学研究与实践2025年第1卷第2期第26-30页,pISSN 3080-8081、eISSN 3080-809X 发布者:Quest Press 发布日期:2026/1/11
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AI赋能下,乡镇中学提高美术课堂教学效率浅探


冯平均

丹江口市习家店中学, 湖北十堰, 442706

摘要:随着人工智能技术的迅猛发展,教育领域正经历着深刻的变革。乡镇中学的美术教育长期面临着师资短缺、资源匮乏、教学方式单一等现实困境,严重制约了教学效率的提升与学生美育素养的全面发展。AI技术的赋能,为解决这些结构性难题提供了新的路径。本文旨在探讨AI技术如何与乡镇中学美术课堂教学深度融合,通过重构教学场景、丰富教学资源、实现个性化学习、创新评价方式以及赋能教师专业发展等维度,有效突破传统教学的瓶颈,从而系统性、多角度地提升课堂教学效率,为促进教育公平、振兴乡村美育提供有价值的思考。

关健词:AI赋能;乡镇中学;美术教育;教学效率;个性化学习;教育公平
A Preliminary Study on Improving the Efffciency of Art Classroom Teaching in Township Middle Schools Empowered by AI

Pingjun Feng

Xijiadian Middle School, Danjiangkou City,Shiyan,Hubei,442706,China

Abstract:With the rapid advancement of artificial intelligence (AI) technology, the field of education is undergoing profound transformations. Art education in township middle schools has long been plagued by practical difficulties such as teacher short-ages, scarce resources, and monotonous teaching methods, which severely hinder the improvement of teaching efficiency and the comprehensive development of students’ aesthetic literacy. The empowerment of AI technology offers new pathways to address these structural challenges. This paper aims to explore how AI technology can deeply integrate with art classroom teaching in township middle schools. By reconstructing teaching scenarios, enriching teaching resources, enabling personalized learning, innovating assessment methods, and empowering teacher professional development, it seeks to effectively break through the bottlenecks of traditional teaching. Consequently, this approach can systematically and multi-dimensionally enhance classroom teaching efficiency, providing valuable insights for promoting educational equity and revitalizing rural aesthetic education.


Keywords : AI Empowerment; Township Middle Schools; Art Education; Teaching Efficiency; Personalized Learning; Educa-tional Equity


参考文献
[1] 李芒.人工智能与教师教学 [J]. 电化教育研究,2023(1):5-12.
[2] 祝智庭,彭红超.智慧教育新范式:人机协同教与学[J].中国电化教育,2022(7):1-9.
[3] 尹少淳.文化核心素养视野下的美术教育[J].美术研究,2017(3):10-15.
[4] 王竹立.AI如何赋能未来教育[J].中小学信息技术教育,2023(Z1):22-25.
[5] 吕耀坚,郑旭东.人工智能教育应用的可为、难为与应为[J].现代远程教育研究,2022,34(4):13-21.
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