Keywords
Teaching interaction
Innovation strategies
Submitted : 2025-03-29
Accepted : 2025-04-13
Published : 2025-04-28
Abstract
In this modern era, effectively integrating artificial intelligence (AI) technology into classroom teaching interactions presents a novel challenge for many university educators. This paper begins by outlining the theoretical foundations of generative AI and teaching interaction. It then provides an analysis of the challenges that classroom teaching interactions face in today’s context, along with the benefits that generative AI can offer to such interactions. Additionally, it examines the current state of generative AI applications in classroom teaching interactions and explores innovative strategies for leveraging generative AI in these settings. The aim is to provide valuable insights for enhancing the innovation and development of classroom teaching interactions in higher education institutions, thereby improving both the quality of classroom interactions and the overall learning experience for students.
References
Yang H, 2024, Analysis on the Teaching Model of Generative Artificial Intelligence Integrated into College English Writing Classroom. College English, 2024(21): 3–5.
Dong X, 2024, Exploring the Path of Enabling College English with Generative Artificial Intelligence. Zhang Jiang Science and Technology Review, 2024(4): 141–143.
Yu G, Li F, Teng W, 2024, AI+ Education: The Upgrading and Transformation of Teaching Model in the Era of Artificial Intelligence. Ningxia Social Sciences, 2024(2): 191–198.
Yang J, 2024, Deep Integration of Generative Artificial Intelligence and Higher Education: Scenarios, Risks and Suggestions. China Higher Education, 2024(5): 52–56.
Li J, 2024, Classroom Teaching Innovation in the Era of Generative Artificial Intelligence. Information Technology Education for Primary and Secondary Schools, 2024(Z1): 6–10.
Kong L, 2024, The Application of Generative Artificial Intelligence in the Teaching of Foreign Language Majors: A Case Study of College Critical English Course – Intensive Reading. Frontiers in Foreign Language Education Research, 7(1): 11–18 + 90.
Li S, Zheng L, 2019, Challenges and Responses of Generative Artificial Intelligence to Classroom Teaching. Curriculum. Materials. Teaching Methods, 44(1): 39–46.
Lu Y, Li M, 2023, How Can Generative AI Empower Education? China Education Network, 2023(12): 79–80.
Wang S, Wang Y, 2023, Design and Implementation of Classroom Learning Community Based on ChatGPT-Like Artificial Intelligence: From the Perspective of Dialogue Teaching Theory. Chinese Medical Education Technology, 37(4): 375–382.
Li Y, Jin H, 2023, The Opportunities and Challenges Brought by the New Generation of Artificial Intelligence to Classroom Teaching in Universities. Education International Exchange, 2023(6): 26–29.
Zhang S, Ma Z, Dong Y, et al., 2023, Why Is Personalized Learning in Large-Scale Classroom Enabled by Artificial Intelligence Possible? – Based on the Application Research of AI in Classroom Teaching in the Past Decade. Open Learning Research, 28(5): 42–50.
Qu Y, Fei J, 2023, Reform of College Classroom Teaching Under the Background of Artificial Intelligence. China Adult Education, 2023(10): 47–49.
Gan Q, Yu Q, Wang C, et al., 2023, Analysis, Research and Practice of Classroom Teaching Based on Artificial Intelligence. Software Guide, 22(1): 88–93.
Liu B, 2022, The Core Value of AI Empowering Classroom Transformation: Intelligent Generation and Mode Innovation. Open Education Research, 28(4): 42–49.
Wang L, 2022, Case Analysis of Interactive Teaching Innovation Model Based on Artificial Intelligence. Electronic Technology, 51(12): 46–48.