SYNERGY OF LECTURERS' DIGITAL COMPETENCIES AND STUDENT AI LITERACY IN IMPROVING LEARNING RECOVERY IN STUDENT SMEs

Authors

  • Ririn Aulia Departemen Pendidikan Buddha 1234, Jinarakkhita Buddhist College, Lampung
  • Sutiyono Sutiyono Buddhist Education Department, Jinarakkhita Buddhist College, Lampung, Indonesia
  • Taridi Taridi Buddhist Education Department, Jinarakkhita Buddhist College, Lampung, Indonesia
  • Arya Sura Prathama Buddhist Education Department, Jinarakkhita Buddhist College, Lampung, Indonesia

DOI:

https://doi.org/10.51878/educational.v5i4.7971

Keywords:

Kompetensi Digital, Literasi AI, Pemulihan Pembelajaran, Pendidikan Tinggi, Teknologi Pendidikan

Abstract

ABSTRACT

Efforts to restore post-pandemic learning in Buddhist higher education institutions face challenges arising from the imbalance between educators’ digital competencies and students’ technological readiness, particularly within student organizations. This situation underscores the need to examine how lecturers’ digital competence and students’ artificial intelligence (AI) literacy jointly contribute to accelerating learning recovery. This study employed an explanatory quantitative survey design to analyze the causal relationship between the two variables, involving 93 supervisory lecturers and student organization members who responded to a five-point Likert-scale online questionnaire. After ensuring validity, reliability, and overall model feasibility, path analysis was conducted to assess both the direct and indirect effects of each variable. The findings reveal that lecturers’ digital competence in designing, managing, and facilitating technology-based learning significantly enhances students’ engagement and adaptability. Moreover, students’ AI literacy strengthens their critical thinking, ethical awareness, and self-regulation throughout the learning process. The interaction between these factors creates a responsive and inclusive digital learning ecosystem that supports the acceleration of learning recovery. Overall, the study emphasizes that integrating the enhancement of educators’ digital competence with the development of students’ AI literacy forms a crucial foundation for building a resilient and sustainable learning environment, while also providing empirical support for digital transformation policies within higher education.

ABSTRAK

Upaya pemulihan pembelajaran pascapandemi di perguruan tinggi Buddhis menghadapi tantangan berupa ketidakseimbangan antara kemampuan digital pendidik dan kesiapan teknologi mahasiswa, khususnya pada organisasi kemahasiswaan. Kondisi tersebut mendorong perlunya kajian mengenai bagaimana kompetensi digital dosen dan literasi kecerdasan buatan (AI) mahasiswa saling berkontribusi dalam mempercepat pemulihan pembelajaran. Penelitian ini menggunakan desain survei kuantitatif eksplanatori untuk menganalisis hubungan kausal kedua variabel dengan melibatkan 93 dosen pembina dan mahasiswa UKM yang diukur melalui kuesioner daring berskala Likert lima poin. Setelah memastikan validitas, reliabilitas, dan kelayakan model, analisis jalur digunakan untuk menguji pengaruh langsung maupun tidak langsung masing-masing variabel. Hasil penelitian menunjukkan bahwa kompetensi digital dosen dalam merancang, mengelola, dan memfasilitasi pembelajaran berbasis teknologi berkontribusi signifikan terhadap peningkatan keterlibatan dan kemampuan adaptasi mahasiswa. Selain itu, literasi AI mahasiswa terbukti memperkuat kemampuan berpikir kritis, kesadaran etis, dan regulasi diri selama proses belajar. Interaksi keduanya membentuk ekosistem pembelajaran digital yang responsif, inklusif, dan mendukung percepatan pemulihan pembelajaran. Secara keseluruhan, penelitian ini menegaskan bahwa penguatan kompetensi digital pendidik yang diintegrasikan dengan peningkatan literasi AI mahasiswa menjadi fondasi penting untuk membangun lingkungan pembelajaran yang tangguh serta berkelanjutan, sekaligus memberikan dasar empiris bagi kebijakan transformasi digital di perguruan tinggi.

Downloads

Download data is not yet available.

References

Chiu, T. K., Ahmad, Z., Ismailov, M., & Sanusi, I. T. (2024). What are artificial intelligence literacy and competency? A comprehensive framework to support them. Computers and Education Open, 6, 100171. https://doi.org/10.1016/j.caeo.2024.100171

Eliza, F., Fadli, R., Ramadhan, M. A., Sutrisno, V. L. P., Hidayah, Y., Hakiki, M., & Dermawan, D. D. (2024). Assessing student readiness for mobile learning from a cybersecurity perspective. Online Journal of Communication and Media Technologies, 14(4), e202452. https://doi.org/10.30935/ojcmt/15017

Ilomäki, L., Paavola, S., Lakkala, M., & Kantosalo, A. (2016). Digital competence – an emergent boundary concept for policy and educational research. Education and Information Technologies, 21(3), 655–679. https://doi.org/10.1007/s10639-014-9346-4

International Society for Technology in Education. (2024). ISTE Standards 2024 (Version 4.02) https://cms-live-media.iste.org/ISTE_STANDARDS_2024_v02.pdf

Kementerian Pendidikan, Kebudayaan, Riset, dan Teknologi. (2021). Panduan integrasi LMS PT dengan SPADA Indonesia (Versi 2.0). https://spada.kemdiktisaintek.go.id/panduan/FINAL-PANDUAN-INTEGRASI-LMS-PT-DENGAN-SPADA-INDONESIA-ver2.0.pdf

Knoth, N., Decker, M., Laupichler, M. C., Pinski, M., Buchholtz, N., Bata, K., & Schultz, B. (2024). Developing a holistic AI literacy assessment matrix – Bridging generic, domain-specific, and ethical competencies. Computers and Education Open, 6, 100177. https://doi.org/10.1016/j.caeo.2024.100177

Long, D., & Magerko, B. (2020, April). What is AI literacy? Competencies and design considerations. In Proceedings of the 2020 CHI conference on human factors in computing systems (pp. 1-16). https://doi.org/10.1145/3313831.3376727

Mansoor, H. M., Bawazir, A., Alsabri, M. A., Alharbi, A., & Okela, A. H. (2024). Artificial intelligence literacy among university students—a comparative transnational survey. Frontiers in Communication, 9, 1478476. https://doi.org/10.3389/fcomm.2024.1478476

Mills, K., Ruiz, P., Lee, K. W., Coenraad, M., Fusco, J., Roschelle, J., & Weisgrau, J. (2024). AI Literacy: A Framework to Understand, Evaluate, and Use Emerging Technology. Digital Promise. https://eric.ed.gov/?id=ED671235

National Institute of Standards and Technology. (2023). Artificial Intelligence Risk Management Framework (AI RMF 1.0) (NIST AI 100-1). https://nvlpubs.nist.gov/nistpubs/ai/NIST.AI.100-1.pdf

Ng, D. T. K., Leung, J. K. L., Chu, S. K. W., & Qiao, M. S. (2021). Conceptualizing AI literacy: An exploratory review. Computers and Education: Artificial Intelligence, 2, 100041. https://doi.org/10.1016/j.caeai.2021.100041

Panadero, E. (2017). A review of self-regulated learning: Six models and four directions for research. Frontiers in psychology, 8, 422. https://doi.org/10.3389/fpsyg.2017.00422

Redecker, C., & Punie, Y. (2017). European framework for the digital competence of educators: DigCompEdu. Publications Office of the European Union. https://publications.jrc.ec.europa.eu/repository/handle/JRC107466

Spante, M., Hashemi, S. S., Lundin, M., & Algers, A. (2018). Digital competence and digital literacy in higher education research: Systematic review of concept use. Cogent Education, 5(1), 1–21. https://doi.org/10.1080/2331186X.2018.1519143

Suhardiana, I. P. A. (2024). Assessing Feedback Efficacy in Classroom Assessment: The Art of Grading With a Wink and a Nod. Jurnal Pendidikan Bahasa Inggris undiksha, 12(2), 173-183. https://doi.org/10.23887/jpbi.v12i2.84255

UNESCO, UNICEF, USAID, FCDO, & World Bank. (2022). From learning recovery to education transformation: Insights and reflections from the 4th survey on national education responses to COVID-19 school closures. https://thedocs.worldbank.org/en/doc/523b6ac03f2c643f93b9c043d48eddc1-0200022022/related/From-Learning-Recovery-to-Education-Transformation-Main-Report.pdf

UNICEF. (2022). Educators’ Digital Competence Framework. UNICEF Regional Office for Europe and Central Asia. https://www.unicef.org/eca/media/24526/file/Educators%27%20Digital%20Competence%20Framework.pdf

Veldhuis, A., Lo, P. Y., Kenny, S., & Antle, A. N. (2025). Critical Artificial Intelligence literacy: A scoping review and framework synthesis. International Journal of Child-Computer Interaction, 43, 100708. https://doi.org/10.1016/j.ijcci.2024.100708

Violla, R., & Fernandes, R. (2021). Efektivitas Media Pembelajaran E-Booklet Dalam Pembelajaran Daring Untuk Meningkatkan Hasil Belajar Siswa Pada Mata Pelajaran Sosiologi. Jurnal Sikola: Jurnal Kajian Pendidikan Dan Pembelajaran, 3(1), 13–23. https://doi.org/10.24036/sikola.v3i1.144

Zawacki-Richter, O., Bai, J. Y., Lee, K., Slagter van Tryon, P. J., & Prinsloo, P. (2024). New advances in artificial intelligence applications in higher education?. International Journal of Educational Technology in Higher Education, 21(1), 32. https://doi.org/10.1186/s41239-024-00464-3

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), 1–27. https://doi.org/10.1186/s41239-019-0171-0

Zhou, X., & Schofield, L. (2024). A Model to Enhance Students’ AI Literacy. https://www.researchgate.net/profile/Lilian-Schofield/publication/385896055

Downloads

Published

2025-12-15

How to Cite

Aulia, R., Sutiyono, S., Taridi, T., & Prathama, A. S. (2025). SYNERGY OF LECTURERS’ DIGITAL COMPETENCIES AND STUDENT AI LITERACY IN IMPROVING LEARNING RECOVERY IN STUDENT SMEs. EDUCATIONAL : Jurnal Inovasi Pendidikan & Pengajaran , 5(4), 1293-1302. https://doi.org/10.51878/educational.v5i4.7971

Issue

Section

Articles