MANAGING THE DIGITAL TRANSFORMATION OF HIGHER EDUCATION: THE IMPACT OF AI LITERACY AND COGNITION ON THE ADOPTION OF INTELLIGENT TEACHING SYSTEMS
DOI:
https://doi.org/10.18623/rvd.v23.5950Keywords:
Artificial Intelligence Literacy, Perception, Multimedia ClassroomAbstract
In the digital transformation of higher education, AI technology is seen as an effective way to address the imbalances in resource inequality, lagging teaching evaluation, and insufficient student-teacher interaction in multimedia classrooms. This study explores students' willingness and actual behavior to adopt AI, particularly in multimedia classrooms. Focusing on influencing factors such as AI literacy, perceived usefulness/ease of use, and perceived risk, the study analyzes how these factors collectively shape students' AI use behaviors. Empirical evidence shows a significant positive correlation between AI application and improved student academic performance and teaching effectiveness. Based on these variables, the study explores the factors influencing AI adoption among college students and constructs and validates a hypothetical model, providing theoretical support and practical guidance for universities to promote the deep integration of AI into education and teaching.
References
Anwei. (2024). The path and method of digital technology supporting classroom teaching. China Educational Technology Equipment, (21), 39-41+47.
Dai, X., & Chen, K. (2008). Practice and exploration of bilingual teaching in artificial intelligence. Higher Science Education, (01), 151-153.
Han, J., & Yu, Y. (2010). Research on teaching methods of artificial intelligence courses. Computer Education, (19), 71-73.
Hao, W. (2015). Research on the development trend of multimedia teaching technology. Information and Communication, (02), 151-152.
Li, C., Wang, M., & He, C. (2008). Practice and exploration of "artificial intelligence" teaching based on case teaching. Computer Education, (09), 53-54.
Li, H. (2023). The application of artificial intelligence technology in computer-aided teaching. Shanghai Light Industry, (04), 65-67.
Li, J. (2023). The application of artificial intelligence in vocational education computer course teaching. Integrated Circuit Applications, 40(12), 92-93.
Li, Y., Gui, Q., Wang, B., & Shen, Y. (2008). Optimizing the combination of multimedia teaching methods to improve the quality of diagnosis education. Northwest Medical Education, (03), 573-574.
Lin, M., & Ye, W. (2021). The evolution of classroom teaching environment supported by educational informatization. China Education Technology Equipment, (24), 25-27.
Peng, Y., & Wang, W. (2011). Exploration of teaching methods for intelligent management and decision-making course. Computer Education, (15), 69-71.
Tan, H. (2020). Research on teaching reform of "civil engineering structural testing" course. Jiangsu Science and Technology Information, 37(01), 75-77.
That, W., Zhang, W., Xie, H., & Jin, D. (2024). Research on course design and teaching reform of artificial intelligence neural network technology and its microwave application. Computer Knowledge and Technology, 20(08), 28-31.
Wang, W. (2023). Research on the new mode of information-based teaching of English dialogue class in secondary vocational schools in the context of "Internet plus". China New Communications, 25(21), 224-226.
Wang, X., Wang, Z., & Han, M. (2019). New developments in learning science and instructional design in a technological environment: An interview with Professor Richard Mayer, founder of multimedia learning research. China Electronic Education, (10), 8-13+31.
Yang, J. (2019). The effective application of multimedia technology in junior high school Chinese language teaching. Information Recording Materials, 20(02), 125-126.
Yang, L. (2011). Interest-based teaching method for introduction to artificial intelligence course. Computer Education, (12), 55-58.
Ying, G., & Wang, X. (1999). Issues to be noted in multimedia teaching. Taizhou Teachers' College Press, (06), 41-44+49.
Zhao, Q. (2023). Research on information technology teaching of five-year vocational college mechanical and electrical equipment installation and adjustment training. Agricultural Machinery Use and Maintenance, (11), 139-141+145.
Zhao, X. (2009). Research on the problems of multimedia teaching. Journal of Chifeng University (Natural Science Edition, 25(01), 56-57.
Zhao, Y. (2019). Analysis of piano teaching in the context of intelligent interaction. Art Education, (12), 210-211.
Zhu, Y. (2016). A new teaching model integrating fingertip resource push platform. Journal of Hanshan Normal University, 37(06), 78-82.
Zuo, Y. (2024). Exploration of the implementation of blended teaching mode in higher vocational English with the support of artificial intelligence. Journal of Hubei Open Vocational College, 37(21), 144-146. Chen, F. (2019). Design and implementation of intelligent classroom platform based on artificial intelligence. Modern Electronic Technology, 42(09), 183-186.
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