Pengaruh Pemanfaatan Artificial Intelligence dan Literasi Digital terhadap Kemandirian Belajar Peserta Didik melalui Self-Efficacy pada Pembelajaran Informatika
DOI:
https://doi.org/10.31949/educatio.v12i2.18979Abstract
Integrasi kecerdasan buatan (AI) dan Kurikulum Merdeka mengubah lanskap pembelajaran Informatika di sekolah menengah. Namun, adopsi AI generatif rentan memicu ketergantungan mekanis dan kemalasan mental siswa. Penelitian kuantitatif kausal-asosiatif ini bertujuan menganalisis pengaruh pemanfaatan AI dan literasi digital terhadap kemandirian belajar siswa melalui self-efficacy sebagai variabel mediator. Menggunakan teknik random sampling, data primer dikumpulkan melalui kuesioner terstruktur berskala Likert 5 poin dari 120 siswa kelas VII SMP Spensaka di Kabupaten Sragen. Analisis data dioperasikan menggunakan metode Partial Least Squares Structural Equation Modeling (PLS-SEM) melalui software SmartPLS 4. Hasil evaluasi model struktural (R2self-efficacy = 0,468; R2 kemandirian = 0,612) menunjukkan bahwa pemanfaatan AI dan literasi digital berpengaruh positif signifikan terhadap self-efficacy. Selanjutnya, literasi digital dan self-efficacy terbukti berdampak langsung secara positif terhadap kemandirian belajar. Sebaliknya, pemanfaatan AI tidak berpengaruh langsung secara signifikan terhadap kemandirian belajar (p = 0,361). Uji mediasi menegaskan bahwa self-efficacy menjalankan peran mediasi penuh (full mediation) pada hubungan pemanfaatan AI, serta peran mediasi parsial pada pengaruh literasi digital terhadap kemandirian belajar. Dinas Pendidikan dan sekolah direkomendasikan menyusun panduan etis pemanfaatan AI terpimpin guna mendongkrak regulasi diri siswa.
Keywords:
Artificial Intelligence, Digital Literacy, Self-Efficacy, Self-Regulated Learning, InformaticsDownloads
References
Alqurni, J. (2026). Exploring the role of agentic AI in fostering self-efficacy, autonomy support, and self-learning motivation in higher education. Frontiers in Artificial Intelligence, 9, 1738774. https://doi.org/10.3389/FRAI.2026.1738774/FULL
Atchley, P., Pannell, H., Wofford, K., Hopkins, M., & Atchley, R. A. (2024). Human and AI collaboration in the higher education environment: opportunities and concerns. Cognitive Research: Principles and Implications 2024 9:1, 9(1), 20-. https://doi.org/10.1186/S41235-024-00547-9
Aydınlar, A., Mavi, A., Kütükçü, E., Kırımlı, E. E., Alış, D., Akın, A., & Altıntaş, L. (2024). Awareness and level of digital literacy among students receiving health-based education. BMC Medical Education 2024 24:1, 24(1), 38-. https://doi.org/10.1186/S12909-024-05025-W
Baskara, F. X. R. (2025). Conceptualizing Digital Literacy for the AI Era: A Framework for Preparing Students in an AI-Driven World. Data and Metadata, 4, 530–530. https://doi.org/10.56294/DM2025530
Bećirović, S., Polz, E., & Tinkel, I. (2025). Exploring students’ AI literacy and its effects on their AI output quality, self-efficacy, and academic performance. Smart Learning Environments 2025 12:1, 12(1), 29-. https://doi.org/10.1186/S40561-025-00384-3
Bond, M., Buntins, K., Bedenlier, S., Zawacki-Richter, O., & Kerres, M. (2020). Mapping research in student engagement and educational technology in higher education: a systematic evidence map. International Journal of Educational Technology in Higher Education 2020 17:1, 17(1), 2-. https://doi.org/10.1186/S41239-019-0176-8
Broadbent, J., & Poon, W. L. (2015). Self-regulated learning strategies & academic achievement in online higher education learning environments: A systematic review. The Internet and Higher Education, 27, 1–13. https://doi.org/10.1016/J.IHEDUC.2015.04.007
Chan, C. K. Y., & Lee, K. K. W. (2023). The AI generation gap: Are Gen Z students more interested in adopting generative AI such as ChatGPT in teaching and learning than their Gen X and millennial generation teachers? Smart Learning Environments 2023 10:1, 10(1), 60-. https://doi.org/10.1186/S40561-023-00269-3
Chiu, T. K. F., Ahmad, Z., & Çoban, M. (2024). Development and validation of teacher artificial intelligence (AI) competence self-efficacy (TAICS) scale. Education and Information Technologies 2024 30:5, 30(5), 6667–6685. https://doi.org/10.1007/S10639-024-13094-Z
Falloon, G. (2020). From digital literacy to digital competence: the teacher digital competency (TDC) framework. Educational Technology Research and Development, 68(5), 2449–2472. https://doi.org/10.1007/S11423-020-09767-4/FIGURES/4
Fang, C., Chen, Z., Liao, X., Sun, B., & Meng, L. (2024). Urban-rural digitalization evolves from divide to inclusion: empirical evidence from China. Npj Urban Sustainability 2024 4:1, 4(1), 51-. https://doi.org/10.1038/s42949-024-00187-4
Getenet, S., Cantle, R., Redmond, P., & Albion, P. (2024). Students’ digital technology attitude, literacy and self-efficacy and their effect on online learning engagement. International Journal of Educational Technology in Higher Education 2024 21:1, 21(1), 3-. https://doi.org/10.1186/S41239-023-00437-Y
Gligorea, I., Cioca, M., Oancea, R., Gorski, A., Gorski, H., Tudorache, P., Velander, J., Taiye, M. A., Otero, N., Milrad, M., Hashish, E. A., Alnajjar, H., Thesen, T., Park, S., Qi, J., Liu, J. J., Xu, Y., Bećirović, S., Polz, E., … Blau, I. (2025). The Impact of AI on the Personal and Collaborative Learning Environments in Higher Education. Behavioral Sciences, 15, 2175–2204. https://doi.org/10.3390/bs15030328
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.
Hair, J. F., Risher, J. J., Sarstedt, M., & Ringle, C. M. (2019). When to use and how to report the results of PLS-SEM. European Business Review, 31(1), 2–24. https://doi.org/10.1108/EBR-11-2018-0203
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
Lan, M., & Zhou, X. (2025). A qualitative systematic review on AI empowered self-regulated learning in higher education. Npj Science of Learning 2025 10:1, 10(1), 21-. https://doi.org/10.1038/s41539-025-00319-0
Levy, N. L., Shamir-Inbal, T., & Blau, I. (2025). Digital Competencies for Effective GenAI Use in Secondary Schools: A Longitudinal Exploration of Teachers’ Perspectives and Classroom Practices. Journal of Computer Assisted Learning, 41(5), e70123. https://doi.org/10.1111/JCAL.70123
Morris, T. H., & Rohs, M. (2021). Digitization bolstering self-directed learning for information literate adults–A systematic review. Computers and Education Open, 2, 100048. https://doi.org/10.1016/J.CAEO.2021.100048
Mustafa, F., Nguyen, H. T. M., & Gao, X. (Andy). (2024). The challenges and solutions of technology integration in rural schools: A systematic literature review. International Journal of Educational Research, 126, 102380. https://doi.org/10.1016/J.IJER.2024.102380
Nguyen, A., Hong, Y., Dang, B., & Huang, X. (2024). Human-AI collaboration patterns in AI-assisted academic writing. Studies in Higher Education, 49(5), 847–864. https://doi.org /10.1080/03075079.2024.2323593
Noviko, H., Maksum, H., & Novaliendry, D. (2025). Pengaruh Kepemimpinan Transformational Terhadap Inovasi Guru Melalui Pemanfaatan Teknologi Pembelajaran Digital. MANAJERIAL : Jurnal Inovasi Manajemen Dan Supervisi Pendidikan, 5(4), 1276–1286. https://doi.org/10.51878/manajerial.v5i4.8013
Ouyang, F., & Jiao, P. (2021). Artificial intelligence in education: The three paradigms. Computers and Education: Artificial Intelligence, 2, 100020. https://doi.org/10.1016/J.CAEAI.2021.100020
Rahimi, A. R., & Mosalli, Z. (2024). The role of 21-century digital competence in shaping pre-service language teachers’ 21-century digital skills: the Partial Least Square Modeling Approach (PLS-SEM). Journal of Computers in Education 2024 12:1, 12(1), 165–189. https://doi.org/10.1007/s40692-023-00307-6
Schunk, D. H., & DiBenedetto, M. K. (2020). Motivation and social cognitive theory. Contemporary Educational Psychology, 60, 101832. https://doi.org/10.1016/J.CEDPSYCH.2019.101832
Schutte, N. S., & Li, H. (2025). The role of self-efficacy and curiosity in student use of artificial intelligence (AI). International Journal of Educational Technology in Higher Education 2025 22:1, 22(1), 73-. https://doi.org/10.1186/S41239-025-00574-6
Shmueli, G., Sarstedt, M., Hair, J. F., Cheah, J. H., Ting, H., Vaithilingam, S., & Ringle, C. M. (2019). Predictive model assessment in PLS-SEM: guidelines for using PLSpredict. European Journal of Marketing, 53(11), 2322–2347. https://doi.org/10.1108/EJM-02-2019-0189
Siddiq, F., & Scherer, R. (2019). Is there a gender gap? A meta-analysis of the gender differences in students’ ICT literacy. Educational Research Review, 27, 205–217. https://doi.org/10.1016/J.EDUREV.2019.03.007
Thesen, T., & Park, S. H. (2025). A generative AI teaching assistant for personalized learning in medical education. Npj Digital Medicine 2025 8:1, 8(1), 627-. https://doi.org/10.1038/s41746-025-02022-1
Tinmaz, H., Lee, Y. T., Fanea-Ivanovici, M., & Baber, H. (2022). A systematic review on digital literacy. Smart Learning Environments 2022 9:1, 9(1), 21-. https://doi.org/10.1186/S40561-022-00204-Y
Tlili, A., Shehata, B., Adarkwah, M. A., Bozkurt, A., Hickey, D. T., Huang, R., & Agyemang, B. (2023). What if the devil is my guardian angel: ChatGPT as a case study of using chatbots in education. Smart Learning Environments 2023 10:1, 10(1), 15-. https://doi.org/10.1186/S40561-023-00237-X
Wang, L., & Li, W. (2024). The Impact of AI Usage on University Students’ Willingness for Autonomous Learning. Behavioral Sciences 2024, Vol. 14, Page 956, 14(10), 956. https://doi.org/10.3390/BS14100956
Yim, I. H. Y., & Su, J. (2025). Artificial intelligence (AI) learning tools in K-12 education: A scoping review. Journal of Computers in Education, 12(1), 93–131. https://doi.org/10.1007/S40692-023-00304-9/TABLES/7
Zheng, Y., & Xiao, A. (2023). A structural equation model of online learning: investigating self-efficacy, informal digital learning, self-regulated learning, and course satisfaction. Frontiers in Psychology, 14, 1276266. https://doi.org/10.3389/FPSYG.2023.1276266/FULL
Zimmerman, B. J. (2000). Attaining Self-Regulation: A Social Cognitive Perspective. Handbook of Self-Regulation, 13–39. https://doi.org/10.1016/B978-012109890-2/50031-7
Published
How to Cite
Issue
Section
License
Copyright (c) 2026 Tri Anasari, Gustina Anugerahwati Soekarno, Roza Cyintia Salwa Azhar, Sigit Haryanto, Djalal Fuadi

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
An author who publishes in the Jurnal Educatio FKIP UNMA agrees to the following terms:
- Author retains the copyright and grants the journal the right of first publication of the work simultaneously licensed under the Creative Commons Attribution-ShareAlike 4.0 License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal
- The author is able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book) with the acknowledgment of its initial publication in this journal.
- The author is permitted and encouraged to post his/her work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of the published work










