HUBUNGAN KETERGANTUNGAN PADA CHATGPT DAN SELF-EFFICACY PADA MAHASISWA AKTIF DI UNIVERSITAS
DOI:
https://doi.org/10.51878/paedagogy.v5i3.7659Keywords:
ChatGPT, Problematic Use, Self-Efficacy Akademik, Mahasiswa, KorelasiAbstract
This study examines the relationship between problematic ChatGPT use defined as excessive or unhealthy dependence on this technology and academic self-efficacy among active students at University X, using a quantitative correlational design. A purposive sample of 76 respondents was selected from various faculties within the university. Data were collected through an online questionnaire consisting of the Problematic ChatGPT Use Scale and the Self-Efficacy Scale. The results indicate that the majority of students experience moderate dependence on ChatGPT, but no significant relationship was found between ChatGPT dependence and academic self-efficacy (rs? = - 0.128, p = 0.271 > 0.05). This finding is important because, although problematic use of ChatGPT is relatively common among students, it does not significantly affect their academic self-confidence. This suggests that other factors, such as prior academic experience or social support, may have a greater impact on students' self-efficacy. This study provides new insights into the use of ChatGPT in higher education and recommends the wise management of its use. Proper management can enrich students' learning experiences, while excessive dependence may reduce learning independence and critical thinking skills.
ABSTRAK
Penelitian ini mengkaji hubungan antara penggunaan ChatGPT yang bersifat problematik diartikan sebagai ketergantungan yang berlebihan atau tidak sehat terhadap teknologi ini dan self-efficacy akademik pada mahasiswa aktif Universitas X dengan desain kuantitatif korelasional. Sampel purposive sebanyak 76 responden diambil dari berbagai fakultas di universitas tersebut. Data dikumpulkan melalui kuesioner daring yang terdiri dari Skala Penggunaan ChatGPT Problematis dan Skala Self-Efficacy. Hasil penelitian menunjukkan bahwa mayoritas mahasiswa mengalami ketergantungan moderat terhadap ChatGPT, namun tidak ditemukan hubungan signifikan antara ketergantungan ChatGPT dan self-efficacy akademik (rs? = ?0,128, p = 0,271 > 0,05). Temuan ini penting karena meskipun penggunaan ChatGPT yang problematik cukup sering terjadi di kalangan mahasiswa, hal tersebut tidak mempengaruhi secara signifikan kepercayaan diri akademik mereka. Ini menunjukkan bahwa faktor lain, seperti pengalaman akademik sebelumnya atau dukungan sosial, mungkin memiliki dampak yang lebih besar terhadap self-efficacy mahasiswa. Penelitian ini memberikan wawasan baru tentang penggunaan ChatGPT dalam konteks pendidikan tinggi dan menyarankan pengelolaan yang bijak terhadap penggunaannya. Pengelolaan yang tepat dapat memperkaya pengalaman belajar mahasiswa, sementara ketergantungan yang berlebihan dapat mengurangi kemandirian belajar dan kemampuan berpikir kritis.
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References
Bandura, A. (1982). Self-efficacy mechanism in human agency. American Psychologist, 37(2), 122–147. https://doi.org/10.1037/0003-066x.37.2.122
Bandura, A. (1997). Self-efficacy: The exercise of control. W.H. Freeman. https://psycnet.apa.org/record/1997-08589-000
Graham, S. (2022). Self-efficacy and language learning – what it is and what it isn’t. Language Learning Journal, 50(2), 186–207. https://doi.org/10.1080/09571736.2022.2045679
Kirkwood, A., & Price, L. (2014). Technology-enabled learning: The scope of the possible. The Open University.
Lin, S., Chung, H., Chung, F., & Lan, Y. (2023). Concerns about using ChatGPT in education. In Lecture notes in computer science (pp. 37–49). https://doi.org/10.1007/978-3-031-40113-8_4
Maral, S., Nayc?, N., Bilmez, H., Erdemir, E. ?., & Satici, S. A. (2025). Problematic ChatGPT use scale: AI-Human collaboration or unraveling the dark side of ChatGPT. International Journal of Mental Health and Addiction. https://doi.org/10.1007/s11469-025-01509-y
McCarthy, J., Minsky, M. L., Rochester, N., & Shannon, C. E. (2006). A proposal for the Dartmouth Summer Research Project on Artificial Intelligence, August 31, 1955. AI Magazine, 27(4), 12. https://doi.org/10.1609/aimag.v27i4.1904
OpenAI. (2022). ChatGPT: Optimizing language models for dialogue. OpenAI. https://openai.com/research/chatgpt
Ray, P. P. (2023). ChatGPT: A comprehensive review on background, applications, key challenges, bias, ethics, limitations and future scope. Internet of Things and Cyber-Physical Systems, 3, 121–154. https://doi.org/10.1016/j.iotcps.2023.04.003
Russell, S. J., & Norvig, P. (2021). Artificial intelligence: A modern approach (4th US ed.). Pearson. https://aima.cs.berkeley.edu/
Sallam, M. (2023). ChatGPT Utility in Healthcare Education, Research, and Practice: Systematic Review on the promising perspectives and valid concerns. Healthcare, 11(6), 887. https://doi.org/10.3390/healthcare11060887
Tamim, R. M., Bernard, R. M., Borokhovski, E., Abrami, P. C., & Schmid, R. F. (2011). What forty years of research says about the impact of technology on learning: A second-order meta-analysis and validation study. Review of Educational Research, 81(1), 4–28. https://doi.org/10.3102/0034654310400004
Trisnawati, W., Putra, R. E., & Balti, L. (2023). The Impact of Artificial Intelligence in Education toward 21st Century Skills: A Literature Review. PPSDP International Journal of Education, 2(2). https://doi.org/10.59175/pijed.v2i2.152
Waddington, J. (2023). Self-efficacy. ELT Journal, 77(2), 237–240. https://doi.org/10.1093/elt/ccac046
Yang, S. H. (2012). Exploring College Students’ Attitudes and Self-Efficacy of Mobile Learning. The Turkish Online Journal of Educational Technology, 11(4), 1-9. https://www.tojet.net/
Yu, S., Chen, H., & Yang, Y. (2024b). Development and validation the Problematic ChatGPT Use Scale: a preliminary report. Current Psychology, 43(31), 26080–26092. https://doi.org/10.1007/s12144-024-06259-z
Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2019). Systematic review of research on artificial intelligence applications in higher education – where are the educators? International Journal of Educational Technology in Higher Education, 16(1). https://doi.org/10.1186/s41239-019-0171-0
Zheng, B., Lin, C., & Krajcik, J. (2018). The impact of technology on self-regulated learning in higher education. Educational Technology Research and Development, 66(6), 1281-1304. https://doi.org/10.1007/s11423-018-9600-5
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Copyright (c) 2025 Alvin Sanjaya, Amelia Aurora, Edbert Clarance Benedict, Sezilya Az Zahra Nurnajma Kalenggo, Tantony Winata, Pamela Hendra Heng, Rita Markus Idulfilastri

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