ARTICLE
Volume 4,Issue 7
7 August 2025
Research on Generative Artificial Intelligence Empowering Blended Teaching, Learning, and Evaluation
Yue Huang
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1
Chengdu College of Arts and Sciences, Chengdu 610401, Sichuan, China,
IEF 2025 , 3(7), 8–14;
https://doi.org/10.26689/ief.v3i7.11521
© 2025 by the Authors. Licensee Whioce Publishing, Singapore. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution 4.0 International License ( https://creativecommons.org/licenses/by/4.0/ )
Abstract
With the continuous development of modern technology, the application of generative artificial intelligence technology in the field of education is expanding, which has brought a certain impact on traditional teaching. Generative artificial intelligence reshapes the teaching model of colleges and universities by improving students’ autonomous learning ability, providing rich teaching resources, and expanding learning paths. Blended teaching is a teaching model integrating online and offline based on modern technology, which provides new ideas for college teaching. Based on this, this paper studies the application of generative artificial intelligence in college blended teaching, expounds its important application value, and puts forward corresponding implementation strategies, so as to provide a reference for college teaching reform and improve teaching effect and students’ learning experience.
References
He ZR, Lian WQ, Mo CS, et al., 2025, Exploration on the Reform of Numerical Control Processing Practice Course under the “Artificial Intelligence + Target Problem Orientation” Blended Teaching. China Equipment Engineering, 2025(7): 14–17.
Li N, 2024, Research on the Development Problems of Teachers in Blended Teaching under the Application of Artificial Intelligence Technology. Journal of Hubei Open Vocational College, 37(9): 152–153 + 156.
Chen SM, Guo N, 2025, Research on the Application of Artificial Intelligence Technology in the Blended Teaching Mode of English Major in Colleges and Universities. English Square, 2025(6): 110–113.
Song LL, 2024, The Realistic Dilemma and Countermeasures of Blended Teaching of Ideological and Political Courses in Colleges and Universities in the AI Era. Journal of Beihua University (Social Sciences Edition), 25(3): 121–125 + 155.
Sheng XC, 2024, Analysis on the Application Practice of Blended Teaching and Flipped Classroom under the Background of Artificial Intelligence Technology—Taking the Frontier Technology Application Course as an Example. Computer Knowledge and Technology, 20(12): 158–161.
Chen YJ, 2025, Research on the Application of Artificial Intelligence in Blended Japanese Teaching. China Journal of Multimedia and Network Teaching (Upper), 2025(1): 37–40.
Nong XA, Qiu YY, 2024, Research on Online and Offline Blended AI Course Teaching Strategies. Modern Vocational Education, 2024(36): 77–84.
Tan FF, 2024, Exploration on the Construction of Blended Teaching in College English under the Background of Artificial Intelligence. Talent Development, 2024(23): 152–154.
Xia L, Xu WC, 2024, Research on the Mixed Teaching Mode of Information Visualization Technology Course under the Background of “Artificial Intelligence +”. Vocational Technology, 23(12): 90–95.
Han BJ, 2024, Research on the Practice Approach of Blended Teaching in Continuing Education Based on Artificial Intelligence (AI). Journal of Qiqihar University (Philosophy and Social Sciences Edition), 2024(7): 160–163.
Shang DN, 2024, Blended Teaching Strategies and Applications of Deep Learning Based on Artificial Intelligence. Proceedings of the 2024 Higher Education Development Forum and Ideological and Political Seminar (Volume I), 95–97.
Zeng HY, He FY, Zhu J, et al., 2024, Research on Blended Teaching of Intelligent Perception Technology Course Assisted by “Artificial Intelligence + Education” in the New Engineering Environment. Technology Wind, 2024(19): 46–48.
Zheng YH, Song HT, Yao EL, et al., 2024, Research on the Improvement of Digital Ability under the Mixed Teaching Mode Based on Artificial Intelligence. Technology and Innovation, 2024(10): 160–162.
Wang X, Wang XY, Cao J, et al., 2024, Research on the Integration of Artificial Intelligence Technology and Computer Professional Teaching Mode under the STEM Concept. Information and Computer (Theoretical Edition), 36(16): 32–34 + 38.
Hu XJ, Zhang L, Gao YL, et al., 2024, Application of Generative Artificial Intelligence Assisted Blended Teaching in the Infection Prevention Teaching of Intradermal Needle Technology for Nursing Interns. Journal of Nursing, 31(18): 21–25.
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