Articles | 2026-10-01

Exploration Students’ Perceptions of Artificial Intelligence as a Tool for Everyday Decision-Making

Nurul Maghfirah Surianto, Andi Nurul Azisah
Quantitative Economics and Management Studies, Vol. 7 No. 5 (2026) https://doi.org/10.35877/454RI.qems5018 Published: 2026-10-01
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Abstract

This study explores students’ perceptions of the use of artificial intelligence (AI) in everyday decision-making, focusing on its perceived effectiveness, limitations, trustworthiness, and influence on independent thinking. The study employed a descriptive qualitative approach involving nine university students selected through purposive sampling. Data were collected through in-depth interviews supported by a structured open-ended questionnaire. The data were analyzed thematically to identify patterns in students’ experiences, levels of trust, critical evaluation practices, and reliance on AI-generated recommendations. The results reveal that students use AI for both academic activities and personal decisions, including financial management, product selection, clothing choices, and career considerations. While AI is perceived as a useful decision-support tool that helps organize information, compare alternatives, and reduce uncertainty, students demonstrate only moderate trust in its recommendations because of its contextual limitations, generic responses, and potential to generate inaccurate information. The findings also show that students retain control over their final decisions by verifying AI-generated information through additional sources, comparing recommendations with real-world circumstances, and consulting peers. However, some students acknowledge a tendency to rely on AI when facing minor cognitive difficulties, indicating a potential risk of cognitive dependency. Overall, AI functions primarily as a supplementary cognitive resource rather than a substitute for students’ independent judgement, although the balance between convenience and cognitive autonomy remains an important feature of their everyday decision-making experiences.

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References (20)

  1. Akter, F., Biswas, Md. S., & Hasan, S. (2026). Impact of Artificial Intelligence in Academia: Navigating the Perceptions and Usage of ChatGPT among University Students </b> International Journal of Technology in Education and Science, 10(1), 178–190. https://doi.org/10.46328/ijtes.5362
  2. AlBannai, N. A. (2025). From classroom to Boardroom: Ethical and cognitive challenges of ChatGPT use among DBA students in business problem-solving. The International Journal of Management Education, 23(3), 101254. https://doi.org/10.1016/j.ijme.2025.101254
  3. Alenezi, I. N., Mersal, F. A., & Elbilgahy, A. A. (2026). Postgraduate students’ perceptions of artificial intelligence integration in research: A cross-sectional study. PLOS One, 21(3), e0345726. https://doi.org/10.1371/journal.pone.0345726
  4. Aljodea, A. M., & Ali, A. A. (2026). ChatGPT in Higher Education: Analyzing Student Perceptions, Ethical Considerations, and Pedagogical Impacts. KSII Transactions on Internet and Information Systems, 20(7). https://doi.org/10.3837/tiis.2026.07.002
  5. Amin, M., Mustaqim, B., Pratama, W., & Sibuea, A. M. (2026). Assessing student perspectives on ChatGPT in higher education: a quantitative analysis. IAES International Journal of Artificial Intelligence (IJ-AI), 15(2), 1062. https://doi.org/10.11591/ijai.v15.i2.pp1062-1070
  6. Arum, R., Calderon Leon, M., Li, X., & Lopes, J. (2025). ChatGPT Early Adoption in Higher Education: Variation in Student Usage, Instructional Support, and Educational Equity. AERA Open, 11. https://doi.org/10.1177/23328584251331956
  7. Bali, S., Suwandi, E., Chen, T.-C., Lin, C.-Y., & Liu, M.-C. (2024). Social Influence, Personal Views, and Behavioral Intention in ChatGPT Adoption. Journal of Computer Information Systems, 1–12. https://doi.org/10.1080/08874417.2024.2441758
  8. Bukar, U. A., Sayeed, Md. S., Fatimah Abdul Razak, S., Yogarayan, S., & Sneesl, R. (2024). Decision-Making Framework for the Utilization of Generative Artificial Intelligence in Education: A Case Study of ChatGPT. IEEE Access, 12, 95368–95389. https://doi.org/10.1109/ACCESS.2024.3425172
  9. Gammoh, L. A. (2024). ChatGPT in Academia: Exploring University Students’ Risks, Misuses, and Challenges in Jordan. Journal of Further and Higher Education, 48(6), 608–624. https://doi.org/10.1080/0309877X.2024.2378298
  10. Guo, Y., & Lee, D. (2023). Leveraging ChatGPT for Enhancing Critical Thinking Skills. Journal of Chemical Education, 100(12), 4876–4883. https://doi.org/10.1021/acs.jchemed.3c00505

How to Cite

Surianto, N. M., & Azisah, A. N. (2026). Exploration Students’ Perceptions of Artificial Intelligence as a Tool for Everyday Decision-Making. Quantitative Economics and Management Studies, 7(5). https://doi.org/10.35877/454RI.qems5018

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