Practical Exploration of Integrating AI Technology into Blended Teaching from the Perspective of Digital Transformation of Education

Feng Tai; Tiexin Shang

doi:10.54691/1h2zb812

Authors

Feng Tai Liaoning Communication University, Shenyang, 110136, China
Tiexin Shang Beijing Scientech International Project Management Co., Ltd., Northeast Branch, Shenyang, 110085, China

DOI:

https://doi.org/10.54691/1h2zb812

Keywords:

Digital transformation of education, AI technology, blended teaching.

Abstract

Digital transformation of education represents an inevitable trend in higher education reform. Blended teaching matches the pedagogical characteristics of design majors, yet its traditional model suffers from homogenized instruction, insufficient process evaluation, inadequate creativity cultivation and disconnection between online and offline sessions. Technologies including AI-generated design, virtual simulation and intelligent learning situation analysis can effectively address these dilemmas. This paper illustrates the integration logic between AI and blended teaching for design majors, analyzes existing teaching challenges, proposes optimization approaches from four dimensions: teaching procedures, digital resources, diversified evaluation and teachers’ digital literacy, constructs an intelligent creative education model, and offers references for the digital transformation of design education.

Downloads

Download data is not yet available.

References

[1] Ministry of Education of the People’s Republic of China. (2022). Implementation plan for the digital education strategy initiative [Regulation].

[2] Zhang, J., & Li, L. (2023). Model reconstruction and practical path of artificial intelligence empowering blended teaching. China Educational Technology, (05), 89–95.

[3] Wang, Y. (2024). Research on optimization of blended teaching in universities under the background of digital transformation of education. Vocational Education Research, (02), 76–81.

[4] Liu, M., & Chen, H. (2023). Dilemmas and breakthrough paths of AI technology applied in personalized blended teaching. Modern Educational Technology, (11), 32–38.

[5] Li, J. J. (2022). Core logic and practical path of digital transformation of education. Theory and Practice of Education, (34), 3–6.