Research on Real-time Evaluation Method of Artificial Intelligence Assisted Ideological and Political Classroom Teaching Effect

DOI

10.2991/978-94-6239-766-8_21How to use a DOI?

Keywords

Ideological and political classroom; Teaching effect evaluation; Artificial intelligence; Multi-modal feature; Real-time evaluation

Abstract

This paper proposes an AI-assisted real-time evaluation method for ideological and political classrooms. A three-dimensional evaluation framework, multimodal feature extraction, adaptive spatio-temporal attention, and knowledge distillation are adopted. Experiments on 12,600 teaching samples achieve a mean absolute error of 4.2, an evaluation latency of 6.1 s, consistency coefficients of 0.85, 0.81, and 0.79, and a model size of 11.8M.

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.

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TY  - CONF
AU  - Lei Zhang
AU  - Qiang Zhang
PY  - 2026
DA  - 2026/09/04
TI  - Research on Real-time Evaluation Method of Artificial Intelligence Assisted Ideological and Political Classroom Teaching Effect
BT  - Proceedings of the 2026 6th International Conference on Education, Information Management and Service Science  (EIMSS 2026)
PB  - Atlantis Press
SP  - 213
EP  - 218
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6239-766-8_21
DO  - 10.2991/978-94-6239-766-8_21
ID  - Zhang2026
ER  -