MaturiKKA-SD: Development of a Maturity Assessment Instrument for CAI Implementation in Indonesian Primary Schools
Abstract
The rollout of the Coding and Artificial Intelligence (CAI) subject in Indonesian primary schools in 2025/2026 exposed a systemic gap because no validated instrument was existed to diagnose schools’ institutional readiness for this curricular innovation. This study developed and validated MaturiKKA-SD, a multi-respondent maturity assessment instrument grounded in eight institutional dimensions derived from global maturity frameworks and Indonesian curriculum policy. A Design and Development Research (DDR) approach was applied through four stages consisting of content analysis of forty-one academic and policy sources, instrument design refinement through a mini focus group discussion with four experts, content validation by three independent experts using the Content Validity Index, and limited usability testing at one primary school in Bandung. Content analysis produced eight core dimensions and twenty-seven operational constructs underpinning a five-level maturity continuum. The focus group discussion confirmed the conceptual architecture while refining descriptors and terminology, yielding fifty-nine items across three respondent forms. Expert judgment returned an Item-level CVI of 1.00 for all items and a Scale-level CVI Average of 1.00. Usability testing confirmed independent readability and practical applicability while surfacing minor refinements. MaturiKKA-SD provides a theoretically grounded and policy-aligned diagnostic tool for Indonesian primary schools implementing the CAI subject.
Keywords
Full Text:
PDFReferences
Abidin, Y., Herman, T., & Wahyudin, D. (2023). Teachers' understanding of computational thinking and its integration in elementary education: A case study in Indonesia. Journal of Educational Technology and Curriculum Innovation, 15(2), 45–58. https://doi.org/10.31004/jetci.v15i2.425
Anderson, T., & Shattuck, J. (2012). Design-based research: A decade of progress in education research? Educational Researcher, 41(1), 16–25. https://doi.org/10.3102/0013189X11428813
Arriola-Mendoza, J., & Ureña, G. V. (2024). Essential elements for implementing AI tools in elementary school: A systematic literature review. Education Sciences, 14(12), 1292. https://doi.org/10.3390/educsci14121292
Awaluddin, A., & Hadi, M. S. (2025). Integrasi pembelajaran coding dan kecerdasan buatan di sekolah dasar: Tantangan dan peluang. Pendas: Jurnal Ilmiah Pendidikan Dasar, 10(1), 1081–1086. https://doi.org/10.23969/jp.v10i01.21753
Baihaqy, A., Kartowagiran, B., & Munadi, S. (2023). Development of digital transformation maturity measurements: A systematic literature review. Journal of Nonformal Education, 9(1), 58–68. https://doi.org/10.15294/jne.v9i1.42244
Begicevic Redjep, N., Balaban, I., & Žugec, B. (2021). Assessing digital maturity of schools: Framework and instrument. Technology, Pedagogy and Education, 30(5), 643–658. https://doi.org/10.1080/1475939X.2021.1944291
Borg, W. R., & Gall, M. D. (2003). Educational research: An introduction (7th ed.). Allyn & Bacon.
Branch, R. M. (2009). Instructional design: The ADDIE approach. Springer. https://doi.org/10.1007/978-0-387-09506-6
Casal-Otero, L., Catala, A., Fernández-Morante, C., Taboada, M., Cebreiro, B., & Barro, S. (2023). AI literacy in K-12: A systematic literature review. International Journal of STEM Education, 10, Article 29. https://doi.org/10.1186/s40594-023-00418-7
Denzin, N. K. (1978). The research act: A theoretical introduction to sociological methods (2nd ed.). McGraw-Hill.
Fernández-Gómez, E., Martín-Salvador, A., Luque-Vara, T., Sánchez-Ojeda, M. A., Navarro-Prado, S., & Enrique-Mirón, C. (2020). Content validation through expert judgement of an instrument on the nutritional knowledge, beliefs, and habits of pregnant women. Nutrients, 12(4), 1136. https://doi.org/10.3390/nu12041136
Fullan, M. (2016). The new meaning of educational change (5th ed.). Teachers College Press.
Geisen, E., & Bergstrom, J. R. (2017). Usability testing for survey research. Morgan Kaufmann. https://doi.org/10.1016/C2014-0-03467-4
Hartikainen, M., Väänänen, K., Lehtiö, A., Ala-Luopa, S., & Olsson, T. (2023). Human-centered AI design in reality: A study of developer companies' practices. International Journal of Human-Computer Studies, 178, 103077. https://doi.org/10.1016/j.ijhcs.2023.103077
Ifenthaler, D., & Egloffstein, M. (2020). Development and implementation of a maturity model of digital transformation. TechTrends, 64(2), 302–309. https://doi.org/10.1007/s11528-019-00457-4
Isrokatun, I., Hanifah, N., Maulana, M., Sujana, A., Nurulhaq, D., & Pratiwi, V. (2023). Teachers' digital competence in the implementation of the Independent Curriculum. Journal of Education and Learning, 17(3), 423–432. https://doi.org/10.11591/edulearn.v17i3.20844
Kemendikdasmen. (2025). Permendikdasmen Nomor 13 Tahun 2025 tentang perubahan atas Permendikbudristek Nomor 12 Tahun 2024 tentang kurikulum pendidikan dasar dan menengah. Kementerian Pendidikan Dasar dan Menengah Republik Indonesia.
Koo, T. K., & Li, M. Y. (2016). A guideline of selecting and reporting intraclass correlation coefficients for reliability research. Journal of Chiropractic Medicine, 15(2), 155–163. https://doi.org/10.1016/j.jcm.2016.02.012
Krippendorff, K. (2018). Content analysis: An introduction to its methodology (4th ed.). SAGE Publications.
Krueger, R. A., & Casey, M. A. (2015). Focus groups: A practical guide for applied research (5th ed.). SAGE Publications.
Mishra, P., & Koehler, M. J. (2006). Technological pedagogical content knowledge: A framework for teacher knowledge. Teachers College Record, 108(6), 1017–1054. https://doi.org/10.1111/j.1467-9620.2006.00684.x
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, Article 100041. https://doi.org/10.1016/j.caeai.2021.100041
Nielsen, J. (2000). Why you only need to test with 5 users. Nielsen Norman Group. https://www.nngroup.com/articles/why-you-only-need-to-test-with-5-users/
Normén-Smith, T., Hultén, M., & Stigmar, M. (2024). Principals' leadership for digitalisation: A systematic review. Educational Management Administration & Leadership, 52(3), 511–530. https://doi.org/10.1177/17411432231184290
OECD. (2025). Trends shaping education 2025. OECD Publishing. https://doi.org/10.1787/trends_edu-2025-en
Polit, D. F., Beck, C. T., & Owen, S. V. (2007). Is the CVI an acceptable indicator of content validity? Appraisal and recommendations. Research in Nursing & Health, 30(4), 459–467. https://doi.org/10.1002/nur.20199
Proença, D., & Borbinha, J. (2016). Maturity models for information systems: A state of the art. Procedia Computer Science, 100, 1042–1049. https://doi.org/10.1016/j.procs.2016.09.279
Richey, R. C., & Klein, J. D. (2014). Design and development research: Methods, strategies, and issues. Routledge. https://doi.org/10.4324/9780203826034
Rodrigues, L. F., Oliveira, A., & Rodrigues, H. (2024). Artificial intelligence in education: A systematic literature review. Computers and Education: Artificial Intelligence, 7, 100296. https://doi.org/10.1016/j.caeai.2024.100296
Scheerens, J. (2014). School, teaching, and system effectiveness: Some comments on three state-of-the-art reviews. School Effectiveness and School Improvement, 25(2), 282–290. https://doi.org/10.1080/09243453.2014.885453
Selwyn, N. (2022). Education and technology: Key issues and debates (3rd ed.). Bloomsbury Academic.
Solar, M., Sabattin, J., & Parada, V. (2013). A maturity model for assessing the use of ICT in school education. Educational Technology & Society, 16(1), 206–218. https://eric.ed.gov/?id=EJ1016311
Stefana, E., Marciano, F., Cocca, P., Rossi, D., & Tomasoni, G. (2025). Scale development in instrument research: A contemporary methodological guide. Educational and Psychological Measurement, 85(2), 287–311. https://doi.org/10.1177/00131644241246712
Suharyo, S., Subyantoro, S., & Pristiwati, R. (2024). Artificial intelligence in the context of the Independent Curriculum at primary and secondary levels: Building skills toward Golden Indonesia 2045. Humanika, 30(2), 208–217. https://doi.org/10.14710/humanika.v30i2.60563
Ten Hove, D., Jorgensen, T. D., & van der Ark, L. A. (2024). Interrater reliability for multilevel data: A generalisability theory approach. Psychological Methods, 29(2), 354–369. https://doi.org/10.1037/met0000391
UNESCO. (2023). Technology in education: A tool on whose terms? Global education monitoring report 2023. UNESCO. https://doi.org/10.54676/UZQV8501
Warsina, J. (2025). Measuring the digital competence of primary school teachers in Indonesia. Jurnal Teknodik, 29(1), 121–132. https://doi.org/10.32550/8f0mr443
World Economic Forum. (2023). Future of jobs report 2023. World Economic Forum.
Yim, I. H. Y., & Su, J. (2024). A critical review of teaching and learning artificial intelligence (AI) literacy: Developing an intelligence-based AI literacy framework for primary school education. Computers in Human Behavior: Artificial Humans, 2(2), 100065. https://doi.org/10.1016/j.chbah.2024.100065
Zamanzadeh, V., Rassouli, M., Abbaszadeh, A., Majd, H. A., Nikanfar, A., & Ghahramanian, A. (2022). Details of content validity and objectivity of content in instrument development. Nursing Practice Today, 9(2), 163–171. https://doi.org/10.18502/npt.v9i2.9228
Zuhri, M., Setiawan, D., & Rahayu, N. (2024). Information communication technologies education in elementary school: A systematic literature review. EduLearn: Jurnal Pendidikan dan Pembelajaran, 14(3). https://edulearn.intelektual.org/index.php/EduLearn/article/download/21435/10485
DOI: https://doi.org/10.30596/ijems.v7i3.30651
Refbacks
- There are currently no refbacks.
Indonesian Journal of Education and Mathematics Science
Universitas Muhammadiyah Sumatera Utara
Kampus Utama
Jl. Kapten Muchtar Basri No.3, Glugur Darat II,Medan
Sumatera Utara-20238
E-mail: ijems@umsu.ac.id
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.




