PENGARUH SELF-EFFICACY DAN ACADEMIC STRESS TERHADAP AI DEPENDENCE DENGAN PERFORMANCE EXPECTATIONS SEBAGAI VARIABEL MEDIASI: STUDI KASUS SISWA SMK
DOI:
https://doi.org/10.51878/edutech.v6i3.14674Keywords:
Self-Efficacy, Academic Stress, AI Dependence, Performance ExpectationsAbstract
The growing use of artificial intelligence (AI) among students has raised concerns about dependence that may weaken learning independence, a pattern also observed among students at SMK IPIEMS Surabaya who tend to rely on AI when completing tasks or answering questions in class. This study aims to examine the influence of self-efficacy and academic stress on AI dependence, with performance expectations as a mediating variable, among Office Management students at SMK IPIEMS Surabaya. An explanatory quantitative approach was used, involving 108 respondents selected through purposive sampling from a population of 150 students. Data were collected using a Likert-scale questionnaire and analyzed with Partial Least Squares Structural Equation Modeling (PLS-SEM) using SmartPLS 4. The results show that academic stress has a significant positive effect on AI dependence, while self-efficacy does not show a significant direct effect. Both self-efficacy and academic stress were found to increase performance expectations, which in turn play an important role in driving students' dependence on AI, including as a mediator for both exogenous variables. These findings confirm that students' expectations of AI's benefits serve as the main pathway toward dependence, so that managing academic workload and promoting wise AI literacy deserve attention from both schools and students.
ABSTRAK
Penggunaan kecerdasan buatan (AI) yang semakin masif di kalangan pelajar memunculkan kekhawatiran akan ketergantungan yang dapat melemahkan kemandirian belajar, termasuk pada siswa SMK IPIEMS Surabaya yang menunjukkan kecenderungan mengandalkan AI dalam menyelesaikan tugas maupun menjawab pertanyaan di kelas. Penelitian ini bertujuan menganalisis pengaruh self-efficacy dan academic stress terhadap AI dependence, dengan performance expectations sebagai variabel mediasi, pada siswa jurusan Manajemen Perkantoran SMK IPIEMS Surabaya. Penelitian menggunakan pendekatan kuantitatif eksplanatori dengan melibatkan 108 responden yang dipilih melalui purposive sampling dari populasi 150 siswa. Data dikumpulkan melalui kuesioner berskala Likert dan dianalisis menggunakan Partial Least Squares Structural Equation Modeling (PLS-SEM) dengan SmartPLS 4. Hasil penelitian menunjukkan bahwa academic stress berpengaruh positif signifikan terhadap AI dependence, sementara self-efficacy belum menunjukkan pengaruh langsung yang signifikan. Baik self-efficacy maupun academic stress terbukti meningkatkan performance expectations, yang selanjutnya berperan penting dalam mendorong ketergantungan siswa terhadap AI, termasuk sebagai mediator dari kedua variabel eksogen tersebut. Temuan ini menegaskan bahwa ekspektasi siswa terhadap manfaat AI menjadi jalur utama munculnya ketergantungan, sehingga pengelolaan beban akademik dan literasi penggunaan AI yang bijak perlu menjadi perhatian sekolah maupun siswa itu sendiri.
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Acosta-Enriquez, B. G., Ballesteros, M. A. A., Guzman Valle, M. de los A., Morales Angaspilco, J. E., Aquino Lalupú, J. del R., Bravo Jaico, J. L., Germán Reyes, N. C., Alarcón García, R. E., & Janampa Castillo, W. E. (2025). The mediating role of academic stress, critical thinking and performance expectations in the influence of academic self-efficacy on AI dependence: Case study in college students. Computers and Education: Artificial Intelligence, 8, 100381. https://doi.org/10.1016/j.caeai.2025.100381
Ayalon, A., & Ido, O. (2026). Adoption of ChatGPT in higher education: A UTAUT-based comparative study of students and lecturers. Journal of Educational Technology Systems. https://doi.org/10.1177/00472395261439145
Bakri, H. (2026). The mediating role of digital literacy in the relationship between performance expectancy and generative AI adoption among engineering students at Universitas Negeri Makassar. JoVI: Journal of Vocational Instruction, 5(1), 39. https://doi.org/10.55754/jov.v5i1.84943
Bandura, A. (1998). Self-efficacy. In V. S. Ramachaudran (Ed.), Encyclopedia of human behavior (Vol. 4, pp. 71–81). Academic Press.
Cao, H., & Han, C. (2024). The effect of Chinese vocational college students' perception of feedback on online learning engagement: Academic self-efficacy and test anxiety as mediating variables. Frontiers in Psychology, 15, Article 1326746. https://doi.org/10.3389/fpsyg.2024.1326746
Cheah, J. H., Memon, M. A., Chuah, F., Ting, H., & Ramayah, T. (2018). Assessing reflective models in marketing research: A comparison between PLS and PLSc estimates. International Journal of Business and Society, 19(1), 139–160.
Fajarwati, K., Khumairoh, H., Saputra, F. A., Setyawati, R., & Muharran, M. I. (2025). Pengaruh kepemimpinan transformasional, lingkungan kerja, dan motivasi terhadap perilaku kerja inovatif. Neraca Akuntansi Manajemen, Ekonomi, 20(11). https://doi.org/10.8734/musytari.v1i2.365
Gerlich, M. (2025). AI tools in society: Impacts on cognitive offloading and the future of critical thinking. Societies, 15(1), 6. https://doi.org/10.3390/soc15010006
Ghozali, I. (2021). Aplikasi analisis multivariate dengan program IBM SPSS 26 (10th ed.). Badan Penerbit Universitas Diponegoro.
Hair, J. F., & Alamer, A. (2022). Partial least squares structural equation modeling (PLS-SEM) in second language and education research: Guidelines using an applied example. Research Methods in Applied Linguistics, 1(3), 100027. https://doi.org/10.1016/j.rmal.2022.100027
Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2022). A primer on partial least squares structural equation modeling (PLS-SEM) (3rd ed.). SAGE Publications.
Hasin, D. S., O'Brien, C. P., Auriacombe, M., Borges, G., Bucholz, K., Budney, A., Compton, W. M., Crowley, T., Grant, B. F., & Schuckit, M. (2013). DSM-5 criteria for substance use disorders: Recommendations and rationale. American Journal of Psychiatry, 170(8), 834–851. https://doi.org/10.1176/appi.ajp.2013.12060782
Henseler, J., Hubona, G., & Ray, P. A. (2016). Using PLS path modeling in new technology research: Updated guidelines. Industrial Management & Data Systems, 116(1), 2–20. https://doi.org/10.1108/IMDS-09-2015-0382
Huang, T., & Wu, C. (2025). The chain mediating effect of academic anxiety and performance expectations between academic self-efficacy and generative AI reliance. Computers and Education Open, 9, 100275. https://doi.org/10.1016/j.caeo.2025.100275
Jamaludin, S., A., & Karyadi. (2022). Faktor-faktor penyebab kecanduan media sosial pada mahasiswa Fakultas Ilmu Kesehatan UIN Syarif Hidayatullah Jakarta. Edu Dharma Journal, 6(2), 138–155.
Kasneci, E., Sessler, K., Küchemann, S., Bannert, M., Dementieva, D., Fischer, F., Gasser, U., Groh, G., Günnemann, S., Hüllermeier, E., Krusche, S., Kutyniok, G., Michaeli, T., Nerdel, C., Pfeffer, J., Poquet, O., Sailer, M., Schmidt, A., Seidel, T., ... Kasneci, G. (2023). ChatGPT for good? On opportunities and challenges of large language models for education. Learning and Individual Differences, 103, 102274. https://doi.org/10.1016/j.lindif.2023.102274
Liu, X., Liu, Y., Dai, Y., & Fu, J. (2026). Academic stress and university students’ dependency on generative artificial intelligence: A multiple mediation model using PLS-SEM. BMC Psychology, 14, 216. https://doi.org/10.1186/s40359-026-03986-9
P?duraru, A. E., Soponaru, C., Dîr?u, C., Gavrilovici, O., & Bucu??, M. D. (2025). What do I need from myself as a student but also from others to reduce the impact of stress on academic performance? Self-efficacy and social support. Frontiers in Education, 9, 1469865. https://doi.org/10.3389/feduc.2024.1469865
Pascoe, M. C., Hetrick, S. E., & Parker, A. G. (2020). The impact of stress on students in secondary school and higher education. International Journal of Adolescence and Youth, 25(1), 104–112. https://doi.org/10.1080/02673843.2019.1596823
Ramadhani, K., & Oktarina, N. (2026). Lebih dari sekadar kenyamanan: Efikasi diri akademik, kesehatan mental, dan ketergantungan pada kecerdasan buatan (AI). JIIP: Jurnal Ilmiah Ilmu Pendidikan, 9(2), 2570–2577. https://doi.org/10.54371/jiip.v9i2.10872
Shi, Y., Cui, H., Zhang, Y., Hui, X., Li, G., Ouyang, M., & Pan, L. (2026). The impact of artificial intelligence perception on university students' academic engagement: The mediating role of academic motivation and the moderating role of academic self-efficacy. Frontiers in Psychology, 17, Article 1735410. https://doi.org/10.3389/fpsyg.2026.1735410
Sodiq, F., Husna, A. N., & Hermahayu. (2023). Academic stress scale: Construction and psychometric analysis. Proceedings of Universitas Muhammadiyah Yogyakarta Graduate Conference, 3(1), 189–193. https://doi.org/10.18196/umygrace.v3i1.547
Sucianingtyas, R., Falistya, L. R., Pujiana, S., & Prayogi, A. (2025). Telaah ragam artificial intelligence (AI) dalam pendidikan. Jurnal Ilmiah Multidisiplin, 3(2), 232–243. https://doi.org/10.5281/zenodo.14874510
Tamrin, S. I., Omar, N. F., Kamaruzaman, K. N., Zaghlol, A. K., & Aziz, M. R. A. (2024). Evaluating the impact of AI dependency on cognitive ability among Generation Z in higher educational institutions: A conceptual framework. Information Management and Business Review, 16(3), 1027–1033. https://doi.org/10.22610/imbr.v16i3s(i)a.4191
Tian, J., & Zhang, R. (2025). AI dependence and critical thinking: The psychological mechanism of fatigue and the social buffering role of AI literacy. Acta Psychologica, 260, 105725. https://doi.org/10.1016/j.actpsy.2025.105725
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425–478.
Widayati, I., & Arif, A. (2026). Pengaruh efikasi diri akademik terhadap ketergantungan AI akademik dengan variabel mediasi stres akademik dan berpikir kritis pada mahasiswa. PEDAGOGIC: Indonesian Journal of Science Education and Technology, 6(3), 1263–1278. https://indo-intellectual.id/index.php/ijset/
Wong, B. Y., & Yeo, K. J. (2024). How and for whom academic stress causes problematic smartphone use: The role of escapism motivation and present hedonistic time perspective. SAGE Open. https://doi.org/10.1177/21582440241302169
Ye, J.-H., Zhang, M., Nong, W., Wang, L., & Yang, X. (2025). The relationship between inert thinking and ChatGPT dependence: An I-PACE model perspective. Education and Information Technologies, 30(3), 3885–3909. https://doi.org/10.1007/s10639-024-12966-8
Zhang, S., Zhao, X., Zhou, T., & Kim, J. H. (2024). Do you have AI dependency? The roles of academic self-efficacy, academic stress, and performance expectations on problematic AI usage behavior. International Journal of Educational Technology in Higher Education, 21(1). https://doi.org/10.1186/s41239-024-00467-0
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