School Leaders’ Practices in Data-Based Planning for School Improvement
DOI:
https://doi.org/10.29240/jsmp.v10i2.17923Keywords:
Data-Based Planning, School Leadership, Data Literacy, Evidence-Informed Decision-Making, School ImprovementAbstract
This study examines school leaders’ reported practices in Data-Based Planning (DBP) for school improvement in West Java, Indonesia. A cross-sectional descriptive quantitative survey involved 329 respondents selected through purposive sampling based on their involvement in school leadership, management, or planning. Data were collected using a 50-item questionnaire and analyzed using frequencies, percentages, means, standard deviations, composite scores, and Cronbach’s alpha. The instrument demonstrated high internal consistency (α = 0.971). The overall DBP composite mean was 4.31 (SD = 0.44), with 99.40% of respondents classified in the high or very high categories. Leadership commitment, stakeholder participation and collaboration, and reflection and root-cause analysis were the strongest dimensions. Data literacy and analytical capability represented a relative area for further development. Although implementation barriers were generally reported infrequently (M = 2.41), insufficient training and mentoring, limited time, and human-resource constraints remained the most prominent obstacles. The findings highlight the importance of strengthening analytical capacity through sustained professional support, structured collaboration, and adequate time for data-based planning. Given the cross-sectional design and reliance on self-reported practices, the results describe reported implementation rather than demonstrating causal effects or measurable improvements in school performance.
Downloads
References
Alonzo, D., Quimno, V., Townend, G., & Oo, C. Z. (2024). Using information and communication technology (ICT)-based data systems to support teacher data-driven decision-making: Insights from the literature (2013–2023). Educational Assessment, Evaluation and Accountability, 36, 433–451. https://doi.org/10.1007/s11092-024-09443-8
Beck, J. S., & Nunnaley, D. (2021). A continuum of data literacy for teaching. Studies in Educational Evaluation, 69, 100871. https://doi.org/10.1016/j.stueduc.2020.100871
Boateng, G. O., Neilands, T. B., Frongillo, E. A., Melgar-Quiñonez, H. R., & Young, S. L. (2018). Best practices for developing and validating scales for health, social, and behavioral research: A primer. Frontiers in Public Health, 6, 149. https://doi.org/10.3389/fpubh.2018.00149
Coburn, C. E., & Talbert, J. E. (2006). Conceptions of evidence use in school districts: Mapping the terrain. American Journal of Education, 112(4), 469–495. https://doi.org/10.1086/505056
Dwikawati, D. K., & Prasojo, L. D. (2025). Analisis Perencanaan Berbasis Data pada Aplikasi Rencana Kegiatan dan Anggaran Sekolah. JDMP (Jurnal Dinamika Manajemen Pendidikan), 9(2), 135–151. https://doi.org/10.26740/jdmp.v9n2.p135-151
Goffin, E., Janssen, R., & Vanhoof, J. (2022). Teachers’ and school leaders’ sensemaking of formal achievement data: A conceptual review. Review of Education, 10(1), e3334. https://doi.org/10.1002/rev3.3334
Gummer, E. S., & Mandinach, E. B. (2015). Building a conceptual framework for data literacy. Teachers College Record, 117(4), 1–22. https://doi.org/10.1177/016146811511700401
Helms-Lorenz, M., & Visscher, A. J. (2022). Unravelling the challenges of the data-based approach to teaching improvement. School Effectiveness and School Improvement, 33(1), 125–147. https://doi.org/10.1080/09243453.2021.1946568
Jimerson, J. B., Garry, V., Poortman, C. L., & Schildkamp, K. (2021). Implementation of a collaborative data use model in a United States context. Studies in Educational Evaluation, 69, 100866. https://doi.org/10.1016/j.stueduc.2020.100866
Kerr, K. A., Marsh, J. A., Ikemoto, G. S., Darilek, H., & Barney, H. (2006). Strategies to promote data use for instructional improvement: Actions, outcomes, and lessons from three urban districts. American Journal of Education, 112(4), 496–520. https://doi.org/10.1086/505057
Lee, J., Alonzo, D., Beswick, K., Oo, C. Z., Anson, D. W. J., & Abril, J. M. V. (2024). Data literacy of principals in K–12 school contexts: A systematic review. Educational Research Review, 45, 100649. https://doi.org/10.1016/j.edurev.2024.100649
Mandinach, E. B., & Gummer, E. S. (2016). What does it mean for teachers to be data literate: Laying out the skills, knowledge, and dispositions. Teaching and Teacher Education, 60, 366–376. https://doi.org/10.1016/j.tate.2016.07.011
Mandinach, E. B., & Schildkamp, K. (2021). Misconceptions about data-based decision making in education: An exploration of the literature. Studies in Educational Evaluation, 69, 100842. https://doi.org/10.1016/j.stueduc.2020.100842
Michos, K., Schmitz, M.-L., & Petko, D. (2023). Teachers’ data literacy for learning analytics: A central predictor for digital data use in upper secondary schools. Education and Information Technologies, 28, 14453–14471. https://doi.org/10.1007/s10639-023-11772-y
Musakirawati, M., Jemmy, J., Anggriawan, F., Triansyah, F. A., Akib, A., & Tahir, A. (2023). Pemanfaatan platform Rapor Pendidikan Indonesia terhadap Perencanaan Berbasis Data. JDMP (Jurnal Dinamika Manajemen Pendidikan), 7(2), 201–208. https://doi.org/10.26740/jdmp.v7n2.p201-208
O’Connor, B., & Park, M. (2023). Exploring the influence of collaborative data-based decision making among teachers in professional learning communities on teaching practice. Disciplinary and Interdisciplinary Science Education Research, 5, 17. https://doi.org/10.1186/s43031-023-00086-1
Poortman, C. L., Brown, C., & Schildkamp, K. (2022). Professional learning networks: A conceptual model and research opportunities. Educational Research, 64(1), 95–112. https://doi.org/10.1080/00131881.2021.1985398
Prøitz, T. S., Novak, J., & Mausethagen, S. (2022). Representations of student performance data in local education policy. Educational Assessment, Evaluation and Accountability, 34, 89–111. https://doi.org/10.1007/s11092-022-09379-x
Rääk, K., & Eisenschmidt, E. (2025). Sustainable evidence-driven school improvement: Routines and data use in Estonian schools. Frontiers in Education, 9, 1517985. https://doi.org/10.3389/feduc.2024.1517985
Ranganathan, P., & Aggarwal, R. (2019). Study designs: Part 2—Descriptive studies. Perspectives in Clinical Research, 10(1), 34–36. https://doi.org/10.4103/picr.PICR_154_18
Sandoval-Ríos, F., Gajardo-Poblete, C., & López-Núñez, J. A. (2025). Role of data literacy training for decision-making in teaching practice: A systematic review. Frontiers in Education, 10, 1485821. https://doi.org/10.3389/feduc.2025.1485821
Schildkamp, K., & Datnow, A. (2022). When data teams struggle: Learning from less successful data use efforts. Leadership and Policy in Schools, 21(2), 147–166. https://doi.org/10.1080/15700763.2020.1734630
Schildkamp, K., Poortman, C. L., Ebbeler, J., & Pieters, J. M. (2019). How school leaders can build effective data teams: Five building blocks for a new wave of data-informed decision making. Journal of Educational Change, 20, 283–325. https://doi.org/10.1007/s10833-019-09345-3
Schildkamp, K., Poortman, C. L., & Handelzalts, A. (2016). Data teams for school improvement. School Effectiveness and School Improvement, 27(2), 228–254. https://doi.org/10.1080/09243453.2015.1056192
Spiele, S., Janssen, J. J. H. M., Schildkamp, K., & Poortman, C. L. (2025). The effect of teacher data use professional development interventions on student achievement: A meta-analysis and qualitative comparative analysis. Studies in Educational Evaluation, 87, 101528. https://doi.org/10.1016/j.stueduc.2025.101528
Sudadi, S., Rasiman, R., & Soedjono, S. (2025). Implementing data-based planning in elementary school: A case study at SD Negeri 2 Pamotan. Journal of Educational Sciences, 9(5), 3676–3687. https://doi.org/10.31258/jes.9.5.p.3676-3687
Sullivan, G. M., & Artino, A. R. J. (2013). Analyzing and interpreting data from Likert-type scales. Journal of Graduate Medical Education, 5(4), 541–542. https://doi.org/10.4300/JGME-5-4-18
Tavakol, M., & Dennick, R. (2011). Making sense of Cronbach’s alpha. International Journal of Medical Education, 2, 53–55. https://doi.org/10.5116/ijme.4dfb.8dfd
Visscher, A. J. (2021). On the value of data-based decision making in education: The evidence from six intervention studies. Studies in Educational Evaluation, 69, 100899. https://doi.org/10.1016/j.stueduc.2020.100899
Washburn, E. K., Bailey, K., Pierce, A., Stewart, C., Hawley, J., Blackman, J., & Fenty, N. (2022). Collaborative professional development on data-based decision making for primary teachers of struggling readers: Responding and refining. Journal of Research in Reading, 45(3), 425–446. https://doi.org/10.1111/1467-9817.12396
Wayman, J. C., & Stringfield, S. (2006). Technology-supported involvement of entire faculties in examination of student data for instructional improvement. American Journal of Education, 112(4), 549–571.
Downloads
Published
How to Cite
Issue
Section
Citation Check
License
Copyright (c) 2026 Nani Hartini, Widaningsih, Siti Nurlatifah, Irvan Gunawan

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









