PERAN ARTIFICIAL INTELLIGENCE DAN INFRASTRUKTUR DIGITAL DALAM MENINGKATKAN KETERLIBATAN AKADEMIK DAN EFEKTIVITAS BELAJAR MAHASISWA
DOI:
https://doi.org/10.51878/edutech.v6i4.15738Keywords:
artificial intelligence, infrastruktur digital, keterlibatan mahasiswa, efektivitas belajar, PLS-SEMAbstract
The increasing integration of Artificial Intelligence (AI) and digital technologies into higher education has created new opportunities to support the learning process. However, the effectiveness of technology utilization is not solely determined by technical availability, but also by students' active involvement in learning activities. This study aims to analyze the role of AI utilization and digital infrastructure in enhancing learning effectiveness, with student engagement serving as a mediating variable among students at Institut Teknologi Kalimantan. A quantitative survey approach was administered to 347 active students across faculties and cohorts selected through multistage stratified sampling. Data were gathered using a five-point Likert scale questionnaire and analyzed using Partial Least Squares–Structural Equation Modeling (PLS-SEM) with a second-order construct through the Hierarchical Component Model. The results demonstrate that AI usage and digital infrastructure exert positive and significant effects on student engagement and learning effectiveness. Furthermore, student engagement partially mediates the effects of AI usage and digital infrastructure on learning effectiveness, with AI usage exhibiting a more dominant total contribution.
ABSTRAK
Perkembangan Artificial Intelligence (AI) dan teknologi digital telah memberikan peluang baru dalam mendukung proses pembelajaran di perguruan tinggi. Namun, efektivitas pemanfaatan teknologi tidak hanya ditentukan oleh ketersediaan fasilitas semata, melainkan juga oleh keterlibatan aktif mahasiswa dalam proses akademik. Penelitian ini bertujuan untuk menganalisis peran pemanfaatan AI dan infrastruktur digital dalam meningkatkan efektivitas belajar dengan keterlibatan mahasiswa (student engagement) sebagai variabel mediasi pada mahasiswa Institut Teknologi Kalimantan. Pendekatan kuantitatif dengan metode survei diterapkan kepada 347 mahasiswa aktif dari berbagai fakultas dan angkatan yang dipilih melalui teknik multistage stratified sampling. Pengumpulan data menggunakan kuesioner skala Likert lima tingkat dan dianalisis menggunakan Partial Least Squares–Structural Equation Modeling (PLS-SEM) dengan model konstruk tingkat kedua melalui Hierarchical Component Model. Hasil penelitian menunjukkan bahwa penggunaan AI dan infrastruktur digital berpengaruh positif dan signifikan terhadap keterlibatan mahasiswa serta efektivitas belajar. Selain itu, keterlibatan mahasiswa terbukti memediasi secara parsial pengaruh penggunaan AI dan infrastruktur digital terhadap efektivitas belajar, dengan pemanfaatan AI memberikan kontribusi total yang lebih dominan.
Downloads
References
Ajani, O. A. A. (2025). Bridging the digital divide: Exploring undergraduate students’ experiences with learning management systems in a rural South African university. Frontiers in Education, 10, Article 1674885. https://doi.org/10.3389/feduc.2025.1674885
Bai, Y., & Wang, S. (2025). Impact of generative AI interaction and output quality on university students’ learning outcomes: A technology-mediated and motivation-driven approach. Scientific Reports, 15, Article 24054. https://doi.org/10.1038/s41598-025-08697-6
Bergdahl, N., Bond, M., Sjöberg, J., Dougherty, M., & Oxley, E. (2024). Unpacking student engagement in higher education learning analytics: A systematic review. International Journal of Educational Technology in Higher Education, 21, Article 63. https://doi.org/10.1186/s41239-024-00493-y
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, 17(1), 1–30. https://doi.org/10.1186/s41239-019-0176-8
Bora, B. Y., & Kölemen, C. ?. (2025). Integrating AI into instructional design: A case study on digital photography education in higher education. Contemporary Educational Technology, 17(3), Article ep512. https://doi.org/10.30935/cedtech/16433
Chan, C. K. Y. (2023). A comprehensive AI policy education framework for university teaching and learning. International Journal of Educational Technology in Higher Education, 20(1), Article 38. https://doi.org/10.1186/s41239-023-00408-3
Chan, C. K. Y., & Hu, W. (2023). Students’ voices on generative AI: Perceptions, benefits, and challenges in higher education. International Journal of Educational Technology in Higher Education, 20(1), Article 43. https://doi.org/10.1186/s41239-023-00411-8
Chen, S., & Cheung, A. C. (2025). Effect of generative artificial intelligence on university students learning outcomes: A systematic review and meta-analysis. Educational Research Review, 43, Article 100737. https://doi.org/10.1016/j.edurev.2025.100737
Habibi, A., Muhaimin, M., Danibao, B. K., Wibowo, Y. G., Wahyuni, S., & Octavia, A. (2023). ChatGPT in higher education learning: Acceptance and use. Computers and Education: Artificial Intelligence, 5, Article 100190. https://doi.org/10.1016/j.caeai.2023.100190
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
Heil, J., Ifenthaler, D., Cooper, M., Mascia, M. L., & Conti, R. (2025). Students’ perceived impact of GenAI tools on learning and assessment in higher education: The role of individual AI competence. Smart Learning Environments, 12, Article 37. https://doi.org/10.1186/s40561-025-00395-0
Heilporn, G., Raynault, A., & Frenette, É. (2024). Student engagement in a higher education course: A multidimensional scale for different course modalities. Social Sciences & Humanities Open, 9, Article 100794. https://doi.org/10.1016/j.ssaho.2023.100794
Heung, Y. M. E., & Chiu, T. K. F. (2025). How ChatGPT impacts student engagement from a systematic review and meta-analysis study. Computers and Education: Artificial Intelligence, 8, Article 100361. https://doi.org/10.1016/j.caeai.2025.100361
Kahu, E. R. (2013). Framing student engagement in higher education. Studies in Higher Education, 38(5), 758–773. https://doi.org/10.1080/03075079.2011.598505
Kim, J., Yu, S., Detrick, R., & Li, N. (2024). Exploring students’ perspectives on Generative AI-assisted academic writing. Education and Information Technologies, 30(1), 1265–1300. https://doi.org/10.1007/s10639-024-12878-7
Liu, X., Guo, B., He, W., & Hu, X. (2025). Effects of generative artificial intelligence on K-12 and higher education students’ learning outcomes: A meta-analysis. Journal of Educational Computing Research, 63(5), 1145–1172. https://doi.org/10.1177/07356331251329185
Mgeni, M. S., Haji, H. A., Yunus, S. A., & Abdulla, A. A. (2024). Adoption of mobile application for enhancing learning in higher education: Students’ views from the State University of Zanzibar, Tanzania. African Journal of Science, Technology, Innovation and Development, 16(2), 265–273. https://doi.org/10.1080/20421338.2023.2289248
Ndubuisi, G., Otioma, C., & Tetteh, G. K. (2021). Digital infrastructure and employment in services: Evidence from Sub-Saharan African countries. Telecommunications Policy, 45(8), Article 102153. https://doi.org/10.1016/j.telpol.2021.102153
Nkomo, L. M., Daniel, B. K., & Butson, R. J. (2021). Synthesis of student engagement with digital technologies: A systematic review of the literature. International Journal of Educational Technology in Higher Education, 18(1), Article 34. https://doi.org/10.1186/s41239-021-00270-1
Prambudi, N. L. (2024). A quantitative analysis of artificial intelligence’s impact on students’ mindset and critical thinking in higher education. IJIIS: International Journal of Informatics and Information Systems, 7(4), 168–178. https://doi.org/10.47738/ijiis.v7i4.222
Prasetya, M. S., Nurhadi, M., Puspitaningrum, A. C., Arifianti, C., & Hudzaifah, A. H. (2023). Analisis kualitas website perguruan tinggi sebagai second-order construct menggunakan pendekatan PLS-SEM. Teknika, 12(2), 144–157. https://doi.org/10.34148/teknika.v12i2.617
Yakubu, M. N., David, N., & Abubakar, N. H. (2025). Students’ behavioural intention to use content generative AI for learning and research: A UTAUT theoretical perspective. Education and Information Technologies, 30, 17969–17994. https://doi.org/10.1007/s10639-025-13441-8
Zhai, C., Wibowo, S., & Li, L. D. (2024). The effects of over-reliance on AI dialogue systems on students’ cognitive abilities: A systematic review. Smart Learning Environments, 11(1), Article 37. https://doi.org/10.1186/s40561-024-00316-7
Zhang, G., & Chen, C. (2021). A study on the relationship between learning motivation and learning effectiveness of personnel based on innovation capability. Frontiers in Psychology, 12, Article 772904. https://doi.org/10.3389/fpsyg.2021.772904
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2026 EDUTECH : Jurnal Inovasi Pendidikan Berbantuan Teknologi

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















