Artificial Intelligence-Assisted Emotion Recognition and Adaptive Teaching Strategies in Cross-Cultural Language Teaching
At present, the artificial intelligence-assisted emotion recognition technology of cross-cultural language teaching has the problems of poor recognition effect and poor adaptability. Therefore, this paper conducts in-depth research on the emotion recognition technology of artificial intelligence to cross-cultural language teaching. The optimization method of auxiliary emotion recognition technology for cross-cultural language teaching based on artificial intelligence algorithm is proposed. Firstly, the information of intercultural language teaching scene is extracted through the artificial intelligence framework, and the way of artificial intelligence is the integration of artificial intelligence nodes. Then, artificial intelligence algorithm is used to optimize the assisted emotion recognition technology of cross-cultural language teaching, and complete the optimization of artificial intelligence assisted emotion recognition technology of cross-cultural language teaching. The experimental results show that the method proposed in this paper can effectively improve the effect of artificial intelligence-assisted emotion recognition technology in cross-cultural language teaching, improve the educational environment of artificial intelligence-assisted emotion recognition in cross-cultural language teaching, and optimize the experience of artificial intelligence-assisted emotion recognition technology in cross-cultural language teaching.
Authors
- Yang Jiao (ORCID: https://orcid.org/0000-0001-9468-1000)
Institutions
- China Three Gorges University (CN)
Publication Details
- Published
- 2025-05-23
- DOI
- https://doi.org/10.1109/ichora65333.2025.11017254
- Primary Topic
- Educational Technology and Pedagogy
- Type
- article
- Field-Weighted Citation Impact
- 0.00