A Review on Artificial Intelligence-Powered Learning: Effects on Student Self-efficacy and Motivation from Primary to Higher Education

DOI

10.2991/978-2-38476-509-6_91How to use a DOI?

Keywords

Artificial Intelligence; Self-efficacy; Motivation; Education

Abstract

As Artificial Intelligence (AI) becomes more present within education settings, it has become both appropriate and important to understand the mental implications on students as well. This paper examines how AI-based educational technology influences 2 very key psychological ideas: self-efficacy as well as learning inspiration. This study uses a literature and case study from South Korea to examine what happens as personalized feedback, adaptive instruction and teacher mediation give students the confidence and motivation to learn. The results point out that AI works best when it matches up with things already known about the mind like psychology and is used with help from a good teacher. Research shows that over-automation and reduction of independence as well as non-uniform access are dangerous. The paper gives a complete look at how AI has two opposite effects—helping and being a problem—in a place where students learn by showing good ways of thinking, real-life examples, and advice on what to do when using such machines. By giving ideas about why things happen, it helps explain the effect of AI in students’ minds growing in places for studying. The study ends with a request for long-term, full-time, responsible research on AI technology in education.

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  - Xi Chen
PY  - 2025
DA  - 2025/12/15
TI  - A Review on Artificial Intelligence-Powered Learning: Effects on Student Self-efficacy and Motivation from Primary to Higher Education
BT  - Proceedings of the 2025 International Conference on Mental Growth and Human Resilience (MGHR 2025)
PB  - Atlantis Press
SP  - 818
EP  - 829
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-509-6_91
DO  - 10.2991/978-2-38476-509-6_91
ID  - Chen2025
ER  -