The Impact of Students’ Using Generative AI for Learning on Self-learning Motivation: a Study Based on Self-determination Theory

DOI

10.2991/978-94-6463-583-6_19How to use a DOI?

Keywords

Generative AI; Self-determination Theory; Self-learning Motivation

Abstract

This study was conducted to analyze the impact of Generative AI use on the self-learning motivation of university students in Ho Chi Minh City. The study explores how three factors from the Self-Determination Theory (perceived autonomy, perceived relatedness, and perceived competence) influence self-learning motivation through mediating factors like perceived usefulness and intrinsic motivation. Data was collected from an online survey of 294 students who used GenAI for learning. The data was tested for reliability by Cronbach’s Alpha coefficient. Exploratory Factor Analysis (EFA), Confirmatory Factor Analysis (CFA), and Structural Equation Modeling (SEM) were used to test the research model. The results show that perceived autonomy and perceived relatedness positively affect both perceived usefulness and intrinsic motivation, which in turn, influence self-learning motivation. Perceived competence, however, only impacts intrinsic motivation. Based on these findings, recommendations are proposed to enhance student self-learning motivation by leveraging the benefits of Generative AI tools.

Copyright

© 2024 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  - Le Cong Minh
AU  - Nguyen Thi My Dung
AU  - Pham Nguyen Viet Hieu
AU  - Nguyen Trang Linh
AU  - Nguyen Thi Ngoc Han
AU  - Hoang Trong
PY  - 2024
DA  - 2024/11/26
TI  - The Impact of Students’ Using Generative AI for Learning on Self-learning Motivation: a Study Based on Self-determination Theory
BT  - Proceedings of the 2nd International Conference - Resilience by Technology and Design (RTD 2024)
PB  - Atlantis Press
SP  - 362
EP  - 382
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-583-6_19
DO  - 10.2991/978-94-6463-583-6_19
ID  - Minh2024
ER  -