| Issue |
SHS Web Conf.
Volume 227, 2026
The 6th International Conference on Communication and Business (ICCB 2025)
|
|
|---|---|---|
| Article Number | 05004 | |
| Number of page(s) | 16 | |
| Section | Business, Technology, and Sustainable Innovation Ecosystems | |
| DOI | https://doi.org/10.1051/shsconf/202622705004 | |
| Published online | 09 January 2026 | |
Navigating learning with generative AI: Student perspectives and experiences in indonesian higher education
1 Faculty of Communication, LSPR Institute of Communication and Business, 10220, Indonesia
2 Faculty of Business, LSPR Institute of Communication and Business, 10220, Indonesia
* Corresponding author: This email address is being protected from spambots. You need JavaScript enabled to view it.
Abstract
Generative AI tools like ChatGPT and Gemini are increasingly used by Indonesian students in their academic work. This study explores students’ perceptions and usage of these technologies using the Technology Acceptance Model (TAM), focusing on perceived ease of use, usefulness, attitudes, behavioral intention, actual use, and AI digital literacy. A quantitative survey approach was employed. Results show that students with higher AI literacy find these tools easy to use and beneficial, and ease of use positively influences perceived usefulness and overall attitudes. While most students hold positive views toward AI, this positivity does not always translate into intent to continue using it, other contextual factors, like access and academic habits, play a significant role. However, those with strong intention to use AI are more likely to actively integrate it into their learning. Findings suggest that responsible AI use requires more than technical skills; it demands ethical awareness and critical thinking. Therefore, educational institutions should develop supportive frameworks through policies, guidance, and pedagogical strategies that promote AI not just as a tool, but as a collaborative partner in learning.
© The Authors, published by EDP Sciences, 2026
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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