Enhancing Foreign Language Learning through AI-Powered Personalization: A Qualitative Inquiry into Adaptive Learning Systems

DOI

10.2991/978-2-38476-364-1_66How to use a DOI?

Keywords

Artificial Intelligence Adaptive Learning; Foreign Language Education; Personalized Learning

Abstract

This qualitative study explores the impacts of AI-based adaptive learning systems on foreign language education through the lens of Constructivist Learning Theory and Innovation Diffusion Theory. Interviews, observations, and analysis of educational materials revealed both benefits and challenges associated with these personalized learning technologies. On the positive side, learners reported increased engagement, motivation, and skill development due to customized content, pacing, and support, aligning with Constructivist principles of learner-centered scaffolding. However, concerns were expressed about potential algorithmic biases and the need for greater human oversight and collaboration between AI systems and instructors, as highlighted by Innovation Diffusion Theory’s focus on addressing complexity and compatibility. The social dynamics within AI-enhanced learning environments also emerged as an important consideration, as some learners felt the personalization reduced opportunities for peer interaction. Overall, the findings underscore the need to design and implement AI-based adaptive systems with a focus on inclusivity, transparency, and human-AI partnership to optimize the learning experience and outcomes.

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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TY  - CONF
AU  - Yi Xue
PY  - 2025
DA  - 2025/03/17
TI  - Enhancing Foreign Language Learning through AI-Powered Personalization: A Qualitative Inquiry into Adaptive Learning Systems
BT  - Proceedings of the 2024 4th International Conference on Education, Language and Art (ICELA 2024)
PB  - Atlantis Press
SP  - 522
EP  - 528
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-364-1_66
DO  - 10.2991/978-2-38476-364-1_66
ID  - Xue2025
ER  -