Smart Teaching Design and Smart Teaching Platform Development in the “AI +” Era

DOI

10.2991/978-94-6239-630-2_4How to use a DOI?

Keywords

Smart Education; Theme; AGI; AI + ; Teacher-Student-Machine Collaboration

Abstract

After personalized training, AGI large models transform into various intelligent agents, enabling functions like intelligent question generation, test paper compilation, and assignment grading. These agents effectively undertake teaching tasks as teachers’ assistants. However, their independent functions and weak logical connections fail to meet the needs of student-centered process-oriented teaching. Further improvements to smart teaching systems are required to ensure the effective implementation of this teaching philosophy and process-oriented teaching. Starting from the student-centered concept, this paper focuses on enhancing students’ active course participation, analyzes teaching processes and their inherent logic, and explores opportunities for students to engage in courses. To facilitate immersive learning, it proposes reconstructing course content around themes, optimizing process tasks, and implementing the teacher-student-machine collaborative teaching mode—empowering students to use AGI for autonomous learning and teachers to leverage smart platforms to analyze students’ learning data and feedback, identify key and difficult teaching points, and deliver targeted instruction. To ensure learning initiative, a process assessment mechanism with interrelated constraints is designed based on the inherent logic of teaching processes. In order to enhance the implementation of new teaching theories, recommendations for the developing of smart education platforms are also promoted.

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.

Download article (PDF)

TY  - CONF
AU  - Zongfeng Song
AU  - Boquan Zhang
AU  - Minghui Wang
PY  - 2026
DA  - 2026/04/23
TI  - Smart Teaching Design and Smart Teaching Platform Development in the “AI +” Era
BT  - Proceedings of the 2025 International Conference on Educational Technology and Management Information Systems (ETMIS 2025)
PB  - Atlantis Press
SP  - 24
EP  - 34
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6239-630-2_4
DO  - 10.2991/978-94-6239-630-2_4
ID  - Song2026
ER  -