Exploration of the Digitally Empowered PDCA Teaching Model in Computer Practical Teaching
- DOI
- 10.2991/978-2-38476-569-0_42How to use a DOI?
- Keywords
- PDCA; Digital Intelligence Empowerment; Computer Practical Teaching; Personalized Teaching; Precise Evaluation
- Abstract
To address the pain points of traditional teaching in traditional computer practical teaching—such as lack of personalization, low efficiency, and vague evaluation—a digitally empowered PDCA teaching model is constructed. With PDCA closed-loop management at its core, the model integrates technologies including AI recommendation algorithms and big data analysis, and incorporates tools such as Educoder’s knowledge graph, China University MOOC’s intelligent recommendation, and Tongyi Lingma. It builds a full-process system of “personalized planning - efficient implementation - precise evaluation - continuous optimization”. Verification through teaching practice in universities shows that the model significantly improves students’ programming skills and teaching quality, providing a replicable solution for the reform of computer-related practical courses.
- Copyright
- © 2026 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Jinli Li PY - 2026 DA - 2026/05/01 TI - Exploration of the Digitally Empowered PDCA Teaching Model in Computer Practical Teaching BT - Proceedings of the 3rd International Conference on Educational Development and Social Sciences (EDSS 2026) PB - Atlantis Press SP - 338 EP - 344 SN - 2352-5398 UR - https://doi.org/10.2991/978-2-38476-569-0_42 DO - 10.2991/978-2-38476-569-0_42 ID - Li2026 ER -