Student Perceptions of AI Tools in Higher Education: Insights on Productivity, Digital Fatigue, Ethical Awareness, and Creativity (A Case Study of Economics Students at Universitas Advent Indonesia)
DOI:
https://doi.org/10.31154/isc12.v12i5.75.1122-1131Keywords:
AI tools, academic productivity, digital fatigue, ethical awareness, student creativityAbstract
This study examines how students perceive the integration of Artificial Intelligence (AI) tools in higher education, focusing on their impact on academic productivity, digital fatigue, ethical considerations, and creativity. As AI platforms such as ChatGPT, Grammarly, Perplexity.ai, and Gemini become increasingly embedded in academic environments, it is crucial to understand how students engage with and evaluate these technologies. A quantitative descriptive approach was employed, and data were collected through a structured Likert-scale questionnaire administered to 117 students from the Faculty of Economics at Universitas Advent Indonesia. The responses were analyzed using frequency and percentage to identify patterns in student perceptions. Findings indicate that 74% of respondents agreed that AI tools enhance academic productivity, while only 47% reported experiencing digital fatigue. While 64% expressed awareness of academic integrity issues, concerns about ethics and privacy may influence how frequently students choose to use AI tools. In terms of creativity and critical thinking, 57% of respondents believed that frequent use of AI tools may limit originality and reduce deep cognitive engagement. These results suggest that although students recognize the benefits of AI in education, they remain cautious about its implications for learning, creativity, and ethical behaviour. The study encourages educational institutions to provide clear guidance on how to integrate AI tools responsibly and ethically into academic life. The study highlights the importance of fostering responsible AI use through institutional policies and student-centered digital literacy strategies.
References
Agustina, N. A., & Damanik, E. S. D. (2024). STUDENTS’PERCEPTION OF USING THE AI GRAMMAR
CHECKER APPLICATION IN LEARNING ENGLISH FOR HIGH SCHOOL STUDENTS. Indonesian
EFL Journal, 10(2), 353–362.
Bozkurt, A., Xiao, J., Farrow, R., Bai, J. Y. H., Nerantzi, C., Moore, S., Dron, J., Stracke, C. M., Singh, L., &
Crompton, H. (2024). The Manifesto for Teaching and Learning in a Time of Generative AI: A Critical
Collective Stance to Better Navigate the Future. Open Praxis, 16(4), 487–513.
Chen, L., Chen, P., & Lin, Z. (2020). Artificial intelligence in education: A review. Ieee Access, 8, 75264–
75278.
Chiparausha, B. (2022). Digital fatigue: are librarians at universities in Zimbabwe spared? Library Philosophy
and Practice.
Gerlich, M. (2025). AI tools in society: Impacts on cognitive offloading and the future of critical thinking.
Societies, 15(1), 6.
Kim, J., Yu, S., Detrick, R., & Li, N. (2024). Exploring students’ perspectives on Generative AI-assisted
academic writing. Education and Information Technologies, 1–36.
Marsh, E., Vallejos, E. P., & Spence, A. (2022). The digital workplace and its dark side: An integrative review.
Computers in Human Behavior, 128, 107118.
Miao, J., Thongprayoon, C., Suppadungsuk, S., Garcia Valencia, O. A., Qureshi, F., & Cheungpasitporn, W.
(2023). Ethical dilemmas in using AI for academic writing and an example framework for peer review in
nephrology academia: A narrative review. Clinics and Practice, 14(1), 89–105.
Pedro, F., Subosa, M., Rivas, A., & Valverde, P. (2019). Artificial intelligence in education: Challenges and
opportunities for sustainable development.
Popenici, S. A. D., & Kerr, S. (2017). Exploring the impact of artificial intelligence on teaching and learning
in higher education. Research and Practice in Technology Enhanced Learning, 12(1), 22.
Rane, N. L., Choudhary, S. P., Tawde, A., & Rane, J. (2023). ChatGPT is not capable of serving as an author:
Ethical concerns and challenges of large language models in education. International Research Journal
of Modernization in Engineering Technology and Science, 5(10), 851–874.
Reinecke, L., Aufenanger, S., Beutel, M. E., Dreier, M., Quiring, O., Stark, B., Wölfling, K., & Müller, K. W.
(2017). Digital stress over the life span: The effects of communication load and internet multitasking on
perceived stress and psychological health impairments in a German probability sample. Media
Psychology, 20(1), 90–115.
Sari, R. R., & Suyatmini, S. (2024). Evaluation of Chatbot AI Application in Accounting Learning in High
Schools: Challenges and Impacts. Ideguru: Jurnal Karya Ilmiah Guru, 9(3 SE-Research Articles), 1440–
1445. https://doi.org/10.51169/ideguru.v9i3.1139
Shalaby, A. (2024). Classification for the digital and cognitive AI hazards: urgent call to establish automated
safe standard for protecting young human minds. Digital Economy and Sustainable Development, 2(1),
17.
Shanmugasundaram, M., & Tamilarasu, A. (2023). The impact of digital technology, social media, and artificial
intelligence on cognitive functions: a review. Frontiers in Cognition, 2, 1203077.
Song, C., & Song, Y. (2023). Enhancing academic writing skills and motivation: assessing the efficacy of
ChatGPT in AI-assisted language learning for EFL students. Frontiers in Psychology, 14, 1260843.
Yilmaz, R., & Yilmaz, F. G. K. (2023). The effect of generative artificial intelligence (AI)-based tool use on
students’ computational thinking skills, programming self-efficacy and motivation. Computers and
Education: Artificial Intelligence, 4, 100147.
Zhai, C., Wibowo, S., & Li, L. D. (2024). The effects of over-reliance on AI dialogue systems on students’
cognitive abilities: a systematic review. Smart Learning Environments, 11(1), 28.
Zhao, X., Cox, A., & Cai, L. (2024). ChatGPT and the digitisation of writing. Humanities and Social Sciences
Communications, 11(1), 1–9.
