Research on the Innovation of AI-Based Blended Teaching Model for Public Computer Courses: Taking University Programming Courses as an Example

  • Caili Tian College of Information Engineering, Northwest A&F University, Yangling 712100, Shaanxi, China
  • Pan Pu College of Information Engineering, Northwest A&F University, Yangling 712100, Shaanxi, China
  • Wenliang Wu College of Information Engineering, Northwest A&F University, Yangling 712100, Shaanxi, China
Keywords: AI, Online learning, Offline teaching, Blended teaching

Abstract

Public computer courses in universities are compulsory courses for non-computer majors in many colleges and universities. Guided by the “student-centered” teaching philosophy, this study explores in depth the AI-integrated blended teaching model for public computer courses. Taking university programming courses as the specific research object, it integrates the advantages of AI technology and blended teaching to innovate teaching methods and means, and studies the blended teaching model that combines online learning and offline teaching in the teaching of public computer courses. The ultimate goal is to improve teaching quality and cultivate students’ computational thinking, programming ability, and innovative thinking.

References

Tian Y, Xi Y, 2020, Research on the Application of Hybrid Classroom Teaching Mode in Colleges and Universities. China University Teaching, (8): 78–96.

Mao W, Yu Q, 2020, Exploring an English Blended Teaching Model Based on an AI Voice Recognition Platform. Henan Education: Teacher Education (Lower), 2020(3): 3.

Horn M, Staker H, 2015, Blended: Using Disruptive Innovation to Improve Schools (Nie FH, Xu TY, Trans.), China Machine Press, Beijing.

He K, 2005, New Development of Educational Technology Theory from the Perspective of Blending Learning. Journal of National Academy of Education Administration, 2005(9): 37–49.

Baldwin L, 2018, Editorial: Active Learning in Higher Education. Active Learning in Higher Education, 19(2): 95–100.

Zhang X, Lü L, 2018, Construction of Deep Teaching Mode Oriented to Deep Learning under the SPOC Platform. China Educational Technology, 2018(4): 96–101.

Chen Z, Wang D, et al., 2018, Research and Practice on Hybrid Teaching Mode Based on Knowledge Construction and Interactive Learning. China University Teaching, 2018(8): 33–37.

Ma Y, Lin P, Jin C, et al., 2025, Research on the Innovative Path of “Five Integrations” Hybrid Teaching of Plant Genetics under the Background of New Agricultural Science. Journal of Smart Agriculture, 5(8): 150–153.

Zhang Q, Wang A, 2014, Research on a New Hybrid Teaching Mode Based on “Flipped Classroom”. Modern Educational Technology, 24(4): 35–37.

Zhao Y, Wang S, Li W, et al., 2024, Research on Teaching Reform of Python Programming Courses Empowered by Artificial Intelligence. Information and Computers, 36(21): 1–6.

Wang M, 2018, Exploration of Hybrid Teaching Mode: A Case Study of the New Mode Design for “PS + AI” Course. Computer Knowledge and Technology (Academic Edition), 14(3): 25.

Huang L, Liao X, 2019, Application of Artificial Intelligence Combined with Blended Teaching in Internal Medicine Education, thesis, Modern Medicine and Health.

Wei SL, Pei Q, Liu L, et al., 2014, Construction and Application of Hybrid Teaching Mode. Journal of Zhaoqing University, 35(2): 77–84.

Mao W, Yu Q, 2020, Exploration of English Blended Learning Mode Based on AI Speech Recognition Platform. Henan Education: Teacher Education (Part 2), 2020(3): 3.

Liu H, Lu J, Song H, et al., 2018, Reform and Practice of Hybrid Teaching in Flipped Classroom in the Era of Artificial Intelligence: Taking the Course of "University Computer" as an Example. Science and Technology Innovation Guide, 15(18): 5.

Published
2025-11-03