Evaluation of The Digital Learning Transition: A Qualitative Study of Its Design, Procedures, and Implementation
Bahasa Indonesia
DOI:
https://doi.org/10.33394/jtp.v11i3.20953Keywords:
Education Policy Evaluation, Digital Transformation, Learning Technologies, CIPP model, Education Policy Implementation;Abstract
This study aims to analyse the evaluation of the digital transformation policy for learning at SMKN 2 Metro, covering the design, procedures and implementation of technology-based educational policies. The study employs a qualitative approach using the case study method. Data collection was carried out through observation, interviews and documentation, whilst data analysis was conducted through data reduction, data presentation and drawing conclusions using triangulation techniques. Unlike previous studies, which generally focused on the implementation of learning technologies or teachers’ digital competences, this study fills a gap by comprehensively evaluating digital transformation policies using the CIPP Model to analyse the design, procedures and implementation of policies at vocational secondary schools. The research findings indicate that the digital transformation of learning at SMKN 2 Metro has been implemented through the use of a Learning Management System (LMS), digital learning resources, and the adoption of hybrid learning as a form of educational adaptation. However, challenges remain, including the uneven level of teachers’ digital competence, limitations in technological infrastructure, the quality of the internet connection, and policy evaluation that remains predominantly administrative in nature. Analysis using the CIPP model indicates that the implementation of digital transformation has progressed reasonably well in terms of context, input, process and product, although there is still a need to strengthen technology-based learning evaluation. The Connectivism perspective suggests that learning is evolving towards a system based on digital connectivity and student-centred learning. The research findings confirm that the success of digital transformation in education is determined not only by the use of technology, but also by the readiness of human resources, the organisational culture of schools, and the effectiveness of continuous evaluation of educational policies
References
Ahyani, E., & Dhuhani, E. M. (2024). Digital Transformation in Educational Office Management: A Literature Review. Jurnal Visionary: Penelitian dan Pengembangan di Bidang Administrasi Pendidikan, 12(1), 205–215.
Andita, V., & Rafaela, D. (2024). Accelerating Digital Transformation for Quality Education. Journal of Information Systems and Management (JISMA), 3(2), 90-93.
Bogdandy, B., Tamas, J., & Toth, Z. (2020, September). Digital transformation in education during COVID-19: A case study. In 2020 11th IEEE international conference on cognitive infocommunications (CoginfoCom) (pp. 000173-000178). IEEE.
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), 38.
Chaudhry, I. S., Sarwary, S. A. M., El Refae, G. A., & Chabchoub, H. (2023). Time to revisit existing student’s performance evaluation approach in higher education sector in a new era of ChatGPT—a case study. Cogent Education, 10(1), 2210461.
Davis, F. D. (2023). Technology Acceptance Model in Educational Technology. Educational Technology Review.
Demartini, C. G., Benussi, L., Gatteschi, V., & Renga, F. (2020). Education and digital transformation: The “riconnessioni” project. IEEE Access, 8, 186233-186256.
Fionita, W., Lauchia, R., Windari, S., & Wijaya, H. A. (2024). Monitoring dan Evaluasi Kebijakan Pendidikan. JIIP-Jurnal Ilmiah Ilmu Pendidikan, 7(6), 5732-5739.
Hadiono, K., & Santi, R. C. N. (2020). Embracing the digital transformation. researchgate.net
Hasnida, S. S., Adrian, R., & Siagian, N. A. (2024). The Transformation of Education in the Digital Age. Jurnal Bintang Pendidikan Indonesia, 2(1), 110-116.
Huber, S. G., & Helm, C. (2020). COVID-19 and schooling: evaluation, assessment and accountability in times of crises—reacting quickly to explore key issues for policy, practice and research with the school barometer: Huber SG, Helm C. Educational assessment, evaluation and accountability, 32(2), 237-270.
Jannah, M., Shafika, N., Parsetyo, E. B., & Habib, S. (2023). Transformasi digital dalam manajemen pendidikan Islam: Peluang dan tantangan. Jurnal Manajemen Pendidikan Islam Darussalam, 5(1), 131-140.
Jaysurrohman, R. A., Supandi, M., Wardani, M. T., Puthaen, M., & Setiawan, F. (2021). Challenges in Evaluating Education Policy in Indonesia. BINTANG, 3(2), 215-227.
Mohamed Hashim, M. A., Tlemsani, I., & Matthews, R. (2022). Higher education strategy in digital transformation. Education and information technologies, 27(3), 3171-3195.
Mukul, E., & Büyüközkan, G. (2023). Digital transformation in education: A systematic review of education 4.0. Technological forecasting and social change, 194, 122664.
Muskania, R., & Zulela, M. S. (2021). The Reality of Digital Transformation in Elementary School Education During the COVID-19 Pandemic. Jurnal Pendidikan Dasar Nusantara, 6(2), 155-165.
Nashrullah, M., Rahman, S., Majid, A., & Hariyati, N. (2025). Digital Transformation in Indonesian Education: A Policy Analysis and Its Implications for the Quality of Learning. Mudir: Jurnal Manajemen Pendidikan, 7(1), 52-59.
Oliveira, K. K. D. S., & De Souza, R. A. (2022). Digital transformation towards education 4.0. Informatics in Education, 21(2), 283-309.
Rogers, E. M. (2022). Diffusion of Innovations. New York: Free Press.
Siemens, G. (2023). Connectivism: A Learning Theory for the Digital Age. International Journal of Instructional Technology and Distance Learning.
Taali, M., Darmawan, A., & Maduwinarti, A. (2024). Theories and Models of Policy Evaluation: A Study of Educational Curriculum Policy. PT Sonpedia Publishing Indonesia.
Triyunita, H., Yana, N., Bachtiar, M. H., & Abdurrahmansyah, A. (2025). Transformasi digital terhadap kompetensi guru dalam pendidikan. JIIP-Jurnal Ilmiah Ilmu Pendidikan, 8(4), 4364–4368.
Yinping, Z., & Yongxin, Z. (2023, July). Research on ChatGPT's strategy to promote the digital transformation of education. In 2023 26th ACIS international winter conference on software engineering, artificial intelligence, networking and parallel/distributed computing (SNPD-Winter) (pp. 28-31). IEEE.
Zizikova, S., Nikolaev, P., & Levchenko, A. (2023). Digital transformation in education. In E3S Web of Conferences (Vol. 381, p. 02036). EDP Sciences.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2026 Ali Rosad*, Hernani, Didi Sudarmansyah, Rabiyatul Adawiyah Siregar, Handoko
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
License and Publishing Agreement
In submitting the manuscript to the journal, the authors certify that:
- They are authorized by their co-authors to enter into these arrangements.
- The work described has not been formally published before, except in the form of an abstract or as part of a published lecture, review, thesis, or overlay journal.
- That it is not under consideration for publication elsewhere,
- That its publication has been approved by all the author(s) and by the responsible authorities – tacitly or explicitly – of the institutes where the work has been carried out.
- They secure the right to reproduce any material that has already been published or copyrighted elsewhere.
- They agree to the following license and publishing agreement.
Copyright
- Authors who publish with JTP agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License (CC BY-SA 4.0) that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
- Authors are 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 an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their 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 published work.
- Licensing for Data Publication
Licensing for Data Publication
JTP use a variety of waivers and licenses, that are specifically designed for and appropriate for the treatment of data:
Open Data Commons Attribution License, http://www.opendatacommons.org/licenses/by/1.0/ (default)
.png){kind=logo}
