A Qualitative Exploration of Experts’ Insights on Data-DrivenInstructional Leadership Among Malaysian Pre-Service Teachers
DOI:
https://doi.org/10.63385/ipt.v1i1.31Keywords:
Data-Driven Instructional Leadership, Pre-Service Teacher Education, Data Literacy, Qualitative Study, Malaysian Teacher PreparationAbstract
In the era of data-driven education, instructional leadership increasingly requires teachers, particularly those in training, to interpret and use data to enhance teaching and learning. Although data literacy is globally recognised as a core instructional competency, limited focus has been placed on how pre-service teachers are prepared for data-informed leadership, especially in the Malaysian context. This qualitative study explores expert perspectives on the preparation of Malaysian pre-service teachers for data-driven instructional leadership. Semi-structured interviews were conducted with six experienced professionals in teacher education, policy and research. Their expertise in teacher leadership development lends credibility to the findings. Thematic analysis revealed one overarching domain, applying data-driven instructional leadership which comprises three interrelated themes. First, identifying data sources concerns how pre-service teachers are trained to access school-based and digital data, including assessments and institutional records. Second, evaluating data refers to developing skills in interpreting data critically and ethically. Third, applying data focuses on using data for planning, differentiation, and instructional improvement. While experts acknowledged growing awareness of data’s instructional value, they also noted gaps in systematic training, practicum integration, and ethical readiness. This study offers empirical insights into the competencies essential for future teachers to lead instruction through data. The findings hold practical implications for curriculum developers, policymakers, and teacher educators seeking to embed data literacy meaningfully within pre-service training.
References
[1] Dutta, V., Sahney, S., 2022. Relation of principal instructional leadership, school climate, teacher job performance and student achievement. Journal of Educational Administration. 60(2), 148–166. DOI: https://doi.org/10.1108/jea-01-2021-0010
[2] 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. DOI: https://doi.org/10.1016/j.tate.2016.07.011
[3] Liou, Y.H., Grigg, J., Halverson, R., 2014. Leadership and design of data-driven professional networks in schools. International Journal of Educational Leadership and Management. 2(1), 29–73.
[4] Shanks, J.N., 2018. Establishing a Data Culture Using a Data-Driven Instructional System for School Improvement. In: Mense, E.G., Crain-Dorough, M. (eds.). Data Leadership for K-12 Schools in a Time of Accountability. IGI Global: Hershey, PA, USA. pp. 39–53. DOI: https://doi.org/10.4018/978-1-5225-3188-3.CH003
[5] Carrington, S., Spina, N., Kimber, M., et al., 2022. Leadership attributes that support school improvement: a realist approach. School Leadership and Management. 42(2), 151–169. DOI: https://doi.org/10.1080/13632434.2021.2016686
[6] Ministry of Education Malaysia, 2013. Malaysia Education Blueprint 2013–2025. Ministry of Education Malaysia: Putrajaya, Malaysia. Available from: https://www.pmo.gov.my/wp-content/uploads/2019/07/Malaysia-Education-Blueprint-2013-2025.pdf (cited 22 June 2025).
[7] Goldhaber, D., 2019. Evidence-based teacher preparation: Policy context and what we know. Journal of Teacher Education. 70(2), 90–101. DOI: https://doi.org/10.1177/0022487118800712
[8] Miller-Bains, K.L., Cohen, J., Wong, V.C., 2022. Developing data literacy: Investigating the effects of a pre-service data use intervention. Teaching and Teacher Education. 109, 103569. DOI: https://doi.org/10.1016/j.tate.2021.103569
[9] Shuhidan, S.M., Yahaya, W.A.W., Hashim, H., et al., 2022. Influence of Digital Literacy on Learning Engagement among Secondary Students in Malaysia. Environment and Ecology Journal. 7(SI10), 135–139. DOI: https://doi.org/10.21834/ebpj.v7isi10.4114
[10] Hallinger, P., 2005. Instructional leadership and the school principal: A passing fancy that refuses to fade away. Leadership and Policy in Schools. 4(3), 221–239. DOI: https://doi.org/10.1080/15700760500244793
[11] Kwan, P., 2020. Is transformational leadership theory passé? Revisiting the integrative effect of instructional leadership and transformational leadership on student outcomes. Educational Administration Quarterly. 56(2), 321–349. DOI: https://doi.org/10.1177/0013161X19861137
[12] Phelps, P.H., 2008. Helping Teachers Become Leaders. Clearing House: A Journal of Educational Strategies, Issues and Ideas. 81(3), 119–122. DOI: https://doi.org/10.3200/tchs.81.3.119-122
[13] Jarke, J., Breiter, A., 2019. Editorial: The datafication of education. Learning, Media and Technology. 44(1), 1–6. DOI: https://doi.org/10.1080/17439884.2019.1573833
[14] Halverson, R., Grigg, J., Prichett, R., et al., 2015. The new instructional leadership: Creating data-driven instructional systems in school (2007). Journal of School Leadership. 25(3), 447–481. DOI: https://doi.org/10.1177/105268460701700202
[15] Wilkerson, M.H., Polman, J.L., 2020. Situating data science: Exploring how relationships to data shape learning. Journal of the Learning Sciences. 29(1), 1–10. DOI: https://doi.org/10.1080/10508406.2019.1705664
[16] Dunlap, K., Piro, J.S., 2016. Diving into data: Developing the capacity for data literacy in teacher education. Cogent Education. 3(1), 1132526. DOI: https://doi.org/10.1080/2331186X.2015.1132526
[17] Davis, S.C., Peck, C.A., 2020. Using data for program improvement in teacher education: A study of promising practices. Teachers College Record. 122(3), 1–48. DOI: https://doi.org/10.1177/016146812012200308
[18] Prestigiacomo, R., Hunter, J., Knight, S., et al., 2020. Data in Practice: A Participatory Approach to Understanding Pre-service Teachers’ Perspectives. Australasian Journal of Educational Technology. 36(6), 107–119. DOI: https://doi.org/10.14742/ajet.6388
[19] Loftus, M., Madden, M.G., 2020. A pedagogy of data and Artificial Intelligence for student subjectification. Teaching in Higher Education. 25(4), 456–475. DOI: https://doi.org/10.1080/13562517.2020.1748593
[20] Rif’attullah, M., Ciptaningrum, D.S., 2024. Exploring Pre-Service Teacher Professional Learning on Their Preparedness for Teaching Practicum. Formosa Journal of Sustainable Research. 3(8), 1779–1798. DOI: https://doi.org/10.55927/fjsr.v3i8.10969
[21] Mandinach, E.B., Gummer, E.S., 2016. Data literacy for educators: Making it count in teacher preparation and practice. Teachers College Press: New York, NY, USA. DOI: https://doi.org/10.17763/1943-5045-86.4.607a
[22] McDowall, A., Mills, C., Cawte, K., et al., 2021. Data use as the heart of data literacy: An exploration of pre-service teachers’ data literacy practices in a teaching performance assessment. Asia-Pacific Journal of Teacher Education. 49(5), 487–502. DOI: https://doi.org/10.1080/1359866X.2020.1777529
[23] Schäffer, B., Lieder, F.R., 2023. Distributed interpretation–teaching reconstructive methods in the social sciences supported by artificial intelligence. Journal of Research on Technology in Education. 55(1), 111–124. DOI: https://doi.org/10.1080/15391523.2022.2148786
[24] Wayman, J.C., Jimerson, J.B., 2014. Teacher needs for data-related professional learning. Studies in Educational Evaluation. 42, 25–34. DOI: https://doi.org/10.1016/j.stueduc.2013.11.001
[25] Datnow, A., Hubbard, L., 2016. Teacher capacity for and beliefs about data-driven decision making: A literature review of international research. Journal of Educational Change. 17(1), 7–28. DOI: https://doi.org/10.1007/s10833-015-9264-2
[26] Dunn, K.E., 2016. Educational psychology’s instructional challenge: Pre-service teacher concerns regarding classroom-level data-driven decision-making. Psychology Learning and Teaching. 15(1), 31–43. DOI: https://doi.org/10.1177/1475725716636975
[27] Liaw, E.C., 2017. Application of computer-mediated communication on teacher efficacy during school-based field experience. Teaching and Teacher Education. 65, 81–90. DOI: https://doi.org/10.1016/j.tate.2017.03.002
[28] Alia, N., Mohamad, H., 2024. Demographic Analysis Of Trainee Teachers: Insights Into E-Content Usage Patterns At Teacher’s Training Institutes In Malaysia. Journal of Islamic Social and Economic Development. 9(68), 309–318. DOI: https://doi.org/10.55573/ised.096829
[29] Razak, R.A., Yusoff, S.M., Leng, C.H., et al., 2023. Evaluating teachers’ pedagogical content knowledge in implementing classroom-based assessment: A case study among ESL secondary school teachers in Selangor, Malaysia. PLoS ONE. 18(12), e0293325. DOI: https://doi.org/10.1371/journal.pone.0293325
[30] Merriam, S.B., Tisdell, E.J., 2009. Dealing with validity, reliability, and ethics. In: Merriam, S.B. (ed.). Qualitative Research: A Guide to Design and Implementation. John Wiley & Sons: Hoboken, NJ, USA. pp. 209–235.
[31] Creswell, J.W., 2015. Revisiting mixed methods and advancing scientific practices. Oxford University Press: Oxford, UK.
[32] Creswell, J.W., Creswell, J.D., 2005. Mixed methods research: Developments, debates, and dilemma. Berrett-Koehler Publishers: Oakland, CA, USA.
[33] Merriam, S.B., Tisdell, E.J., 2015. Qualitative research: A guide to design and implementation. John Wiley & Sons: Hoboken, NJ, USA.
[34] Miles, M.B., Huberman, A.M., 1994. Qualitative data analysis: An expanded sourcebook. Sage: Thousand Oaks, CA, USA.
[35] Creswell, J.W., 2009. Mapping the field of mixed methods research. Journal of Mixed Methods Research. 3(2), 95–108.
[36] Creswell, J.W., 2017. Research design: qualitative, quantitative, and mixed-methods approaches. Sage Publications: Thousand Oaks, CA, USA.
[37] Okoli, C., Pawlowski, S.D., 2004. The Delphi method as a research tool: An example, design considerations and applications. Information and Management. 42(1), 15–29. DOI: https://doi.org/10.1016/j.im.2003.11.002
[38] Satzinger, J., Jackson, R., Burd, S., 2007. Systems Analysis & Design, 4th ed. Thomson: Boston, MA, USA.
[39] Merriam, S.B., 1998. Qualitative Research and Case Study Applications in Education. Revised and Expanded from "Case Study Research in Education". Jossey-Bass Publishers: San Francisco, CA, USA.
[40] Strauss, A., Corbin, J., 1998. Basics of Qualitative Research: Techniques and Procedures for Developing Grounded Theory. SAGE Publications Inc.: Thousand Oaks, CA, USA.
[41] Schildkamp, K., Poortman, C., Luyten, H., et al., 2017. Factors promoting and hindering data-based decision making in schools. School Effectiveness and School Improvement. 28(2), 242–258. DOI: https://doi.org/10.1080/09243453.2016.1256901
[42] Mertler, C.A., 2024. Action research: Improving schools and empowering educators. Sage Publications: Thousand Oaks, CA, USA. DOI: https://doi.org/10.4135/9781483396484
[43] Jennings, A.S., 2022. Preferences, Substitutes, and Complements: Mapping the Relationship between Data Sources within Teachers’ Instructional Practice. Educational Assessment. 27(4), 322–338. DOI: https://doi.org/10.1080/10627197.2022.2088493
[44] Farrell, C.C., Marsh, J.A., 2016. Metrics Matter: How Properties and Perceptions of Data Shape Teachers’ Instructional Responses. Educational Administration Quarterly. 52(3), 423–462. DOI: https://doi.org/10.1177/0013161X16638429
[45] Rahman, N.H.A., 2014. From curriculum reform to classroom practice: An evaluation of the English primary curriculum in Malaysia [PhD Thesis]. York, UK: University of York.
[46] Daliri-Ngametua, R., Ian, H., Creagh, S., 2022. Data, performativity and the erosion of trust in teachers. Cambridge Journal of Education. 52(3), 391–407. DOI: https://doi.org/10.1080/0305764X.2021.2002811
[47] Spillane, J.P., 2013. The practice of leading and managing teaching in educational organisations. In: OECD (ed.). Leadership for 21st Century Learning. OECD Publishing: Paris, France. pp. 59–82.
[48] Wang, Y., Ko, J., Qian, H., 2023. How Would Preservice Teachers With Deeper Reflection Emerge as Teacher Leaders?. ECNU Review of Education. 6(2), 237–260. DOI: https://doi.org/10.1177/20965311221142892
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