ANALISIS EFEKTIVITAS PEMANFAATAN ARTIFICIAL INTELLIGENCE (AI) DALAM PENINGKATAN KUALITAS PEMBELAJARAN DI PERGURUAN TINGGI
DOI:
https://doi.org/10.61722/jmia.v3i1.7794Keywords:
artificial intelligence, learning quality, higher education, digital literacy, educational technologyAbstract
The rapid development of Artificial Intelligence (AI) has significantly transformed the learning process in higher education institutions. AI-based applications such as ChatGPT, Gemini, and Perplexity are increasingly utilized to assist students in understanding learning materials, completing academic tasks, and improving learning efficiency. Despite its growing adoption, empirical studies examining the effectiveness of AI utilization in improving learning quality in Indonesian higher education remain limited.
This study aims to analyze the effectiveness of AI utilization in improving learning quality and to examine the role of digital literacy in strengthening the impact of AI on learning outcomes. This research employs a quantitative explanatory approach using a survey method. Data were collected through structured questionnaires distributed to university students who actively use AI in academic activities. Data analysis was conducted using descriptive statistics and multiple linear regression analysis.
The results indicate that AI utilization has a positive and significant effect on learning quality. Digital literacy also plays an important role in enhancing the effectiveness of AI utilization. These findings suggest that AI can effectively improve learning quality in higher education when supported by adequate digital literacy and institutional readiness. This study contributes to educational technology literature and provides practical recommendations for AI integration in higher education
References
Alshammari, T. (2024). Artificial intelligence adoption in higher education: Opportunities and challenges for digital learning. Computers & Education, 205, 105211.
Chen, X., Zou, D., & Xie, H. (2023). Students’ engagement and learning performance in AI-supported learning environments. Interactive Learning Environments, 31(4), 620–635.
Dwivedi, Y. K., et al. (2024). The state of artificial intelligence research in education: A systematic review. International Journal of Educational Technology in Higher Education, 21(1), 1–28.
García-Morales, V., Garrido-Moreno, A., & Martín-Rojas, R. (2021). The digital transformation of higher education: An analysis of AI adoption. Higher Education Quarterly, 75(4), 597–614.
Holmes, W., Bialik, M., & Fadel, C. (2021). Artificial intelligence in education: Promises and implications. Journal of Learning Analytics, 8(3), 1–17.
Hwang, G.-J., & Chang, C.-Y. (2021). Transforming education through AI-based learning systems. Educational Technology & Society, 24(2), 1–12.
Ifenthaler, D., & Yau, J. Y.-K. (2020). Utilising learning analytics for student success: Behavioral, emotional, and cognitive perspectives. Educational Technology Research and Development, 68(4), 1895–1913.
Khan, S., & Yu, F. (2023). Digital literacy as a predictor of AI readiness among undergraduate students. Education and Information Technologies, 28, 553–572.
Liu, S., Wang, X., & Lin, Y. (2022). The role of AI in personalized learning: A meta-analysis. Computers in Human Behavior, 135, 107361.
Luckin, R., et al. (2021). Intelligence unleashed: An argument for AI in education. British Journal of Educational Technology, 52(3), 1075–1090.
Mikalef, P., Krogstie, J., & Pappas, I. (2021). Investigating AI-enabled learning platforms: A technology acceptance perspective. Computers & Education, 170, 104224.
Ndukwe, I., & Daniel, B. K. (2022). Learning analytics in higher education: A review of predictive models and applications. Journal of Educational Computing Research, 60(2), 435–460.
Park, Y., & Kim, S. (2023). Impact of AI-generated feedback on students’ learning outcomes. Assessment & Evaluation in Higher Education, 48(2), 341–356.
Song, D., & Bonk, C. J. (2023). Examining learner use of AI chatbots in online learning: Benefits and risks. Online Learning Journal, 27(1), 122–150.
Zawacki-Richter, O., et al. (2019). Systematic review of research on artificial intelligence in higher education. International Journal of Educational Technology in Higher Education, 16(1), 1–27.
Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101.
Creswell, J. W., & Creswell, J. D. (2018). Research design: Qualitative, quantitative, and mixed methods approaches (5th ed.). SAGE Publications.
UNESCO. (2024). AI and education: Guidance for policy-makers. UNESCO Publishing.
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–339.
OECD. (2023). Artificial intelligence in education: Policy implications and future directions. OECD Publishing.
Downloads
Published
Issue
Section
License
Copyright (c) 2025 JURNAL MULTIDISIPLIN ILMU AKADEMIK

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.









