APPLICATION OF THE TECHNOLOGY ACCEPTANCE MODEL TO CHAT GPT TO MEASURE THE CRITICAL THINKING POWER OF UIN SUNAN AMPEL SURABAYA STUDENTS

Authors

  • M. Annur Fuad Fadholi The State Islamic University Sunan Ampel Surabaya

DOI:

https://doi.org/10.24269/mtkind.v19i1.12209

Abstract

Advances in artificial intelligence (AI) have made a big impact in the field of education, one of which is through the use of ChatGPT from OpenAI. This technology has the potential to improve the learning process, but also poses risks such as plagiarism and reduced student accountability. This study aims to determine the effect of ChatGPT on critical thinking and decision-making skills by students in their daily learning on campus. The method used is quantitative method by distributing questionnaires to active undergraduate students of UIN Sunan Ampel Surabaya using purposive random sampling technique. Data analysis was carried out using the SEM method using a tool to process data, namely SmartPLS V4 and the Technology Acceptance Model (TAM) theory. The results showed that the use of ChatGPT had a positive effect on increasing critical thinking, with the mediating variable of Decision Making and the variables of Actual Use, Behavioral Intention to Use, Perceived Usefulness, and Perceived Ease of Use as the determining factors. The results of this study are expected to contribute to understanding student behavior related to the use of ChatGPT and its impact on scientific reasoning and decision making.

Author Biography

M. Annur Fuad Fadholi, The State Islamic University Sunan Ampel Surabaya

This multi-text journal is very helpful in accommodating published articles. And it is very helpful for academics to always conduct research so that later the results of the research are published in the journal. Hopefully this journal can fully contribute to the advancement of the world of education in this beloved country.

References

[1] A. Choudhury and H. Shamszare, “Investigating the Impact of User Trust on the Adoption and Use of ChatGPT: Survey Analysis,” J. Med. Internet Res., vol. 25, pp. 1–11, 2023.
[2] L. I. Ruiz-Rojas, L. Salvador-Ullauri, and P. Acosta-Vargas, “Collaborative Working and Critical Thinking: Adoption of Generative Artificial Intelligence Tools in Higher Education,” Sustain. , vol. 16, no. 13, 2024.
[3] C. Thinking and T. Education, “education sciences ChatGPT and Generative AI : Possibilities for Its Contribution to Lesson Planning , Critical Thinking and Openness in Teacher Education,” 2023.
[4] Y. Irhasyuarna et al., “Integrated science teaching materials with local wisdom insights to improve students’ critical thinking ability,” BIO-INOVED J. Biol. Pendidik., vol. 4, no. 3, p. 328, 2022.
[5] A. Haleem, M. Javaid, and R. P. Singh, “An era of ChatGPT as a significant futuristic support tool: A study on features, abilities, and challenges,” BenchCouncil Trans. Benchmarks, Stand. Eval., vol. 2, no. 4, p. 100089, 2022.
[6] S. Sugiyono and E. O. P. Sulaiman, “Penerimaan Teknologi Pendidikan Dengan Menggunakan Technology Acceptance Model (TAM) Studi Kasus Pada Aplikasi Ruang Guru,” INTECOMS J. Inf. Technol. Comput. Sci., vol. 7, no. 1, pp. 268–281, 2024.
[7] M. Junianto, K. Bashori, and N. Hidayah, “Validitas dan Reliabilitas Skala Student Engagement,” J. RAP (Riset Aktual Psikol. Univ. Negeri Padang), vol. 11, no. 2, p. 139, 2020.
[8] R. Rajjoub et al., “ChatGPT and its Role in the Decision-Making for the Diagnosis and Treatment of Lumbar Spinal Stenosis: A Comparative Analysis and Narrative Review,” Glob. Spine J., vol. 14, no. 3, pp. 998–1017, 2024.
[9] H. A. Jalil, A. M. Ma’rof, and R. Omar, “Attitude and behavioral intention to develop and use MOOCs among academics,” Int. J. Emerg. Technol. Learn., vol. 14, no. 24, pp. 31–41, 2019.
[10] Alya Resti Saraswati, Vasya Ayu Karmina, Maharani Putri Efendi, Zahrina Candrakanti, and Nur Aini Rakhmawati, “Analisis Pengaruh ChatGPT Terhadap Tingkat Kemalasan Berpikir Mahasiswa ITS Dalam Proses Pengerjaan Tugas,” J. Pendidikan, Bhs. dan Budaya, vol. 2, no. 4, pp. 40–48, 2023.
[11] S. Alkutbi, I. Alrajawy, A. Ameen, A. H. Al-Shibami, and A. Bhaumik, “Integrating technological acceptance model and end-user computing satisfaction to explain the intention to continue using car navigation in UAE,” Int. J. Recent Technol. Eng., vol. 8, no. 2 Special Issue 10, pp. 628–634, 2019.
[12] S. A. Nikou and A. A. Economides, “Mobile-based assessment: Investigating the factors that influence behavioral intention to use,” Comput. Educ., vol. 109, pp. 56–73, 2017.
[13] Y. Utami, “Uji Validitas dan Uji Reliabilitas Instrument Penilaian Kinerja Dosen,” J. Sains dan Teknol., vol. 4, no. 2, pp. 21–24, 2023.
[14] J. F. Hair, G. T. M. Hult, C. M. Ringle, M. Sarstedt, N. P. Danks, and S. Ray, Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R. 2021.
[15] J. F. Hair, J. J. Risher, M. Sarstedt, and C. M. Ringle, “The Results of PLS-SEM Article information,” Eur. Bus. Rev., vol. 31, no. 1, pp. 2–24, 2019.

Downloads

Published

2025-07-30

Issue

Section

Artikel