Proceedings of the E-Learning and Smart Engineering Systems (ELSES 2025)

<Previous Article In Volume
Next Article In Volume>

E-Portfolios in Teacher Training: A Path to Personalized Learning Through AI

Authors
Amgarni Houda1, *, Nejjari Amel1, Khaldi Mohamed2
1Didactics, Literacies, and Mediations, ENS Tétouan, Abdelmalek Essaadi University, Tétouan, Morocco
2Information Technology and Modeling System, FS Tétouan, Abdelmalek Essaadi University, Tétouan, Morocco
*Corresponding author. Email: houdaamgarni2019@gmail.com
Corresponding Author
Amgarni Houda
Available Online 2 April 2026.
DOI
10.2991/978-94-6239-634-0_7How to use a DOI?
Keywords
Artificial Intelligence; teacher training; e-portfolios; competency-based learning; self-regulated learning; adaptive assessment; professional development
Abstract

Artificial Intelligence (AI) utilization in e-portfolios is transforming teacher training through the enhancement of personalized learning, assessment, and reflective practice. AI-powered e-portfolios provide real-time feedback, adaptive learning pathways, and automation of competency tracking, ensuring targeted professional development. Through machine learning and natural language processing, AI enhances independent learning and facilitates data-driven decision-making in teacher education.

This study examines how AI-driven e-portfolios support personalized training, with a focus on competency assessment, feedback cycles, and professional growth. Findings point to three significant features: (1) AI-driven feedback mechanisms, (2) adaptive learning pathways, and (3) enhanced reflective practice. AI improves the connection between teaching theory and classroom practice, with scalable solutions for teacher growth. Future research needs to explore ethical AI use, hybrid mentoring approaches, and scalable implementation across different educational settings.

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)

<Previous Article In Volume
Next Article In Volume>
Volume Title
Proceedings of the E-Learning and Smart Engineering Systems (ELSES 2025)
Series
Atlantis Highlights in Social Sciences, Education and Humanities
Publication Date
2 April 2026
ISBN
978-94-6239-634-0
ISSN
2667-128X
DOI
10.2991/978-94-6239-634-0_7How to use a DOI?
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

risenwbib
TY  - CONF
AU  - Amgarni Houda
AU  - Nejjari Amel
AU  - Khaldi Mohamed
PY  - 2026
DA  - 2026/04/02
TI  - E-Portfolios in Teacher Training: A Path to Personalized Learning Through AI
BT  - Proceedings of the E-Learning and Smart Engineering Systems (ELSES 2025)
PB  - Atlantis Press
SP  - 88
EP  - 96
SN  - 2667-128X
UR  - https://doi.org/10.2991/978-94-6239-634-0_7
DO  - 10.2991/978-94-6239-634-0_7
ID  - Houda2026
ER  -