Proceedings of the International Conference on Educational Science and Teacher Education (ICESTE 2025)

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Integrating Deep Learning in Microteaching: A Technological Innovation for Teacher Training

Authors
Nani Hartini1, *
1Faculty of Education, Indonesian University of Education, Bandung, 40154, Indonesia
*Corresponding author. Email: nani_hartini@upi.edu
Corresponding Author
Nani Hartini
Available Online 24 November 2025.
DOI
10.2991/978-2-38476-489-1_53How to use a DOI?
Keywords
Microteaching; Deep Learning; Real-Time Feedback; Teacher Training
Abstract

Microteaching remains a cornerstone in teacher education for fostering pedagogical skills among pre-service teachers. Despite its widespread application, the process often lacks objective, timely, and actionable feedback crucial elements for meaningful improvement. This study aims to integrate deep learning technologies into microteaching to enhance feedback mechanisms and facilitate the development of teacher competencies. The proposed system will leverage AI to provide automated, real-time feedback based on detailed analysis of teaching performance. By doing so, this research contributes to the growing body of knowledge on the application of AI in educational settings, particularly in teacher training, and underscores the transformative potential of AI in fostering more effective and personalized professional development for teachers. The expected outcomes include: (1) a deep learning model for automated evaluation of microteaching, (2) a real-time feedback system powered by artificial intelligence, and (3) scholarly evidence on the effectiveness of deep learning applications in teacher training. The study contributes to the growing body of research in educational innovation and underscores the potential of AI in transforming teacher development practices.

Copyright
© 2025 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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Volume Title
Proceedings of the International Conference on Educational Science and Teacher Education (ICESTE 2025)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
24 November 2025
ISBN
978-2-38476-489-1
ISSN
2352-5398
DOI
10.2991/978-2-38476-489-1_53How to use a DOI?
Copyright
© 2025 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

risenwbib
TY  - CONF
AU  - Nani Hartini
PY  - 2025
DA  - 2025/11/24
TI  - Integrating Deep Learning in Microteaching: A Technological Innovation for Teacher Training
BT  - Proceedings of the International Conference on Educational Science and Teacher Education (ICESTE 2025)
PB  - Atlantis Press
SP  - 675
EP  - 682
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-489-1_53
DO  - 10.2991/978-2-38476-489-1_53
ID  - Hartini2025
ER  -