Článek
| Název: | Exploring leadership influence within data-informed decision-making practices in Australian independent schools |
| Autor: | |
| Zdrojový dokument: | Studia paedagogica. 2021, roč. 26, č. 4, s. [139]-159 |
| Rozsah: | [139]-159 |
| ISSN: | 1803-7437 (print); 2336-4521 (online) |
| DOI: | 10.5817/SP2021-4-7 |
| Typ: | Článek (anglicky) |
| Trvalý odkaz: | http://hdl.handle.net/11222.digilib/144772 |
| Licence: |
PDF
Abstrakt(y):
There is increasingly strong pressure on schools to use data within their decision-making processes; the pressure comes not just from high-stakes testing but also from the subsequent comparative analysis conducted in the international, national, state, and local jurisdictions that represent the educational systems responsible for ensuring that students continue to receive quality education (Harris & Jones, 2017). There is paucity in empirical research within Australia on the practice of data use within schools; research is lacking on data interactions among school leaders in their workplace settings (Coburn & Turner, 2012). This study contributes toward this identified gap in Australian research literature on the practice of data-informed decision making (DIDM) in schools. Using a case-study approach at two K-12 independent schools in Victoria, Australia, the study sought to understand the "how" and "why" of DIDM systems that are currently in use within Australian independent schools in order to better understand what data-informed school improvement processes are being used in practice in this sector of Australian schooling. Based on the findings, we offer recommendations for developing improved system capabilities that make schools data literate and numerate and identify the important transformational role that senior and middle-level school leaders play in building up data-informed collaborative school cultures within their schools.
Klíčová slova:
school leader; data-informed decision making; collaboration; continuous school improvement; organizational trust
Poznámka:
This project was funded under the Dean's Early Career Research Project Award from Monash University, Australia, in the amount of AUD $30,336 over 2017-2018.
Reference:
[1] Argyris, C., & Schön, D. A. (1996). Organizational learning II: Theory, method and practice. Addison-Wesley.
[2] Bernhardt, V. L. (2003). No schools left behind. Educational Leadership, 60(5), 26–30.
[3] Blaxter, L., Hughes, C., & Tight, M. (2001). How to research? (2nd Ed.). Open University Press.
[4] Brown, C. (2015). Conclusion. In C. Brown (Ed.), Leading the use of research and evidence in schools (pp. 153–160). Institute of Education Press.
[5] Coburn, C. E., & Turner, E. O. (2012). The practice of data use: An introduction. American Journal of Education, 118(2), 99–111. https://doi.org/10.1086/663272 | DOI 10.1086/663272
[6] Cook, S. D. N., & Brown, J. S. (1999). Bridging epistemologies: The generative dance between organizational knowledge and organizational knowing. Organization Science, 10(4), 381–400. https://doi.org/10.1287/orsc.10.4.381 | DOI 10.1287/orsc.10.4.381
[7] Datnow, A. (2017, August). Opening or closing doors for students? Equity and data-driven decision-making [conference paper]. ACER Research Conference 2017, Australia. http://research.acer.edu.au/cgi/viewcontent.cgi?article=1317&context=research_conference
[8] Datnow, A., Greene, J. C., & Gannon-Slater, N. (2017). Data use for equity: Implications for teaching, leadership, and policy. Journal of Educational Administration, 55(4), 354–360. https://doi.org/10.1108/JEA-04-2017-0040 | DOI 10.1108/JEA-04-2017-0040
[9] Datnow, A., & Hubbard, L. (2015). Teachers' use of assessment data to inform instruction: Lessons from the past and prospects for the future. Teachers College Record, 117(4), 1–26. https://doi.org/10.1177/016146811511700408 | DOI 10.1177/016146811511700408
[10] Datnow, A., & Hubbard, L. (2016). Teacher capacity for and beliefs about data-driven decisionmaking: A literature review of international research. Journal of Educational Change, 17(1), 7–28. https://doi.org/10.1007/s10833-015-9264-2 | DOI 10.1007/s10833-015-9264-2
[11] Datnow, A., & Park, V. (2018). Opening or closing doors for students? Equity and data use in schools. Journal of Educational Change, 19(2), 131–152. https://doi.org/10.1007/s10833-018-9323-6 | DOI 10.1007/s10833-018-9323-6
[12] Earl, L. M., & Katz, S. (2006). Leading schools in a data-rich world: Harnessing data for school improvement. Corwin.
[13] Earl, L. M., & Timperley H. (2009). " Understanding how evidence and learning conversations work." In L. M. Earl & H. Timperley (Eds.), Professional learning conversations: Challenges in using evidence for improvement (pp. 1–12). Springer. https://doi.org/10.1007/978-1-4020-6917-8_1 | DOI 10.1007/978-1-4020-6917-8_1
[14] Fernandes, V. (2016). Reframing continuous school improvement in Australian schools. In A. Normore, L. Long, & M. Javidi (Eds.), Handbook of research on effective communication, leadership, and conflict resolution (pp. 98–124). IGI Global. http://doi.org/10.4018/978-1-4666-9970-0.ch006 | DOI 10.4018/978-1-4666-9970-0.ch006
[15] Fernandes, V. (2019). Investigating the role of data-driven decision-making within school improvement processes. In R. Hamlin, A. Ellinger, & J. Jones (Eds.), Evidence-based initiatives for organizational change and development (pp. 201–219). IGI Global. http://doi.org/10.4018/978-1-5225-6155-2.ch010 | DOI 10.4018/978-1-5225-6155-2.ch010
[16] Fernandes, V. (2021). Making sense of data-informed decision making in educational contexts. In M. Khosrow-Pour (Ed.), Handbook of research on modern educational technologies, applications, and management (pp. 545–563). IGI Global. http://doi.org/10.4018/978-1-7998-3476-2.ch033 | DOI 10.4018/978-1-7998-3476-2.ch033
[17] Fernandes, V., & Henderson, M. (2020). Activating turnaround leadership solicitation of datainformed decision-making within Australian public schools. In C. V. Meyers & M. J. Darwin (Eds.), School turnaround in secondary schools: Possibilities, complexities, and sustainability (1st Ed.), (pp. 59–81). Information Age Publishing.
[18] Guba, E. G., & Lincoln, Y. S. (2005). Paradigmatic controversies, contradictions, and emerging confluences. In N. K. Denzin & Y. S. Lincoln (Eds.), The Sage handbook of qualitative research (3rd Ed.) (pp. 191–215). Sage.
[19] Hansen, J. M., Gentry, R., & Dalley, T. (2003). Mindful change in a data-driven school. Principal Leadership, 3(6), 37–41.
[20] Harris, A., & Hargreaves, A. (2015). Exceptional effectiveness: Taking a comparative perspective on educational performance. International Congress for School Effectiveness and School Improvement, 8, 7–40.
[21] Harris, A., & Jones, M. (2017). Leading in context: Putting international comparisons into perspective. School Leadership & Management, 37(5), 431–433. https://doi.org/10.1080/13632434.2017.1368864 | DOI 10.1080/13632434.2017.1368864
[22] Holmes, K., Clement, J., & Albright, J. (2013). The complex task of leading educational change in schools. School Leadership & Management, 33(3), 270–283. https://doi.org/10.1080/13632434.2013.800477 | DOI 10.1080/13632434.2013.800477
[23] Honig, M. I., & Coburn, C. E. (2008). Evidence-based decision making in school district central offices. Educational Policy, 22(4), 578–608. https://doi.org/10.1177/0895904807307067 | DOI 10.1177/0895904807307067
[24] Independent Schools Council of Australia (ISCA). (2018). Independent Schooling in Australia – Snapshot 2018. ISCA. http://isca.edu.au/wp-content/uploads/2018/05/18189-ISCA-2018-Snapshot-A4-2pp.pdf
[25] Independent Schools Queensland (ISQ). (2018). Independent Schools are more accountable than ever. Briefings: Thought leadership for the independent schooling sector, 22(2), 1–8.
[26] Independent Schools Queensland (ISQ). (2017, May). Autonomy and school leadership: An independent schooling perspective [Discussion paper]. Independent Schools Queensland.
[27] Lai M., & Schildkamp, K. (2013). Data-based decision making: An overview. In K. Schildkamp, M. Lai, & L. Earl (Eds.), Data-based decision making in education. Studies in educational leadership (pp. 9–21). Springer. https://doi.org/10.1007/978-94-007-4816-3_2 | DOI 10.1007/978-94-007-4816-3_2
[28] Lai, M. K., Wilson, A., McNaughton, S., & Hsiao, S. (2014). Improving achievement in secondary schools: Impact of a literacy project on reading comprehension and secondary schools' qualifications. Reading Research Quarterly, 49(3), 305–334. https://doi.org/10.1002/rrq.73 | DOI 10.1002/rrq.73
[29] Lincoln, S. Y., & Guba, E. G. (1985). Naturalistic inquiry. Sage.
[30] Mandinach, E. B., & Gummer, E. S. (2013). A systemic view of implementing data literacy in educator preparation. Educational Researcher, 42(1), 30–37. https://doi.org/10.3102/0013189X12459803 | DOI 10.3102/0013189X12459803
[31] Mandinach, E. B., Parton, B. M., Gummer, E. S., & Anderson, R. (2015). Ethical and appropriate data use requires data literacy. Phi Delta Kappan, 96(5), 25–28. https://doi.org/10.1177/0031721715569465 | DOI 10.1177/0031721715569465
[32] Mann, S. (2016). The research interview: Reflective practice and reflexivity in research processes. PalgraveMacmillan. https://doi.org/10.1057/9781137353368 | DOI 10.1057/9781137353368
[33] Marsh, J. A., Pane, J. F., & Hamilton, L. S. (2006). Making sense of data-driven decision making in education: Evidence from Recent RAND Research (OP-170). RAND Corporation. https://doi.org/10.7249/OP170 | DOI 10.7249/OP170
[34] Maxwell, J. A. (2011). Epistemological heuristics for qualitative research. In H. Soini, E. L. Kronqvist, & G. L. Huber (Eds.), Epistemological heuristics for qualitative research (pp. 10–27). Center for Qualitative Psychology.
[35] Means, B., Padilla, C., DeBarger, A., & Bakia, M. (2009). Implementing data-informed decision making in schools—Teacher access, supports and use. Report prepared for U.S. Department of Education, Office of Planning, Evaluation and Policy Development. SRI International. https://files.eric.ed.gov/fulltext/ED504191.pdf
[36] Park, V., & Datnow, A. (2009). Co-constructing distributed leadership: district and school connections in data-driven decision-making, School Leadership & Management: Formerly School Organisation, 29(5), 477–494. https://doi.org/10.1080/13632430903162541 | DOI 10.1080/13632430903162541
[37] Pawson, R. (2006). Evidence-based policy: A realist perspective. SAGE.
[38] Phillips, J. (2003). Powerful learning: Creating learning communities in urban school reform. Journal of Curriculum and Supervision, 18(3), 240–258.
[39] Ponelis, S. R. (2015). Using interpretive qualitative case studies for exploratory research in doctoral studies: A case of Information Systems research in small and medium enterprises. International Journal of Doctoral Studies, 10, 535–550. | DOI 10.28945/2339
[40] Poortman, C. L., & Schildkamp, K. (2016). Solving student achievement problems with a data use intervention for teachers. Teaching and Teacher Education, 60, 425–433. https://doi.org/10.1016/j.tate.2016.06.010 | DOI 10.1016/j.tate.2016.06.010
[41] Robinson, V. M. J., & Walker J. C. (1999). Theoretical privilege and researchers' contribution to educational change. In J. S. Gaffney & B. J. Askew (Eds.), Stirring the waters: The influence of Marie Clay (pp. 239–259). Heinemann.
[42] Schildkamp, K., & Kuiper, W. (2010). Data-informed curriculum reform: Which data, what purposes, and promoting and hindering factors. Teaching and Teacher Education, 26(3), 482–496. https://doi.org/10.1016/j.tate.2009.06.007 | DOI 10.1016/j.tate.2009.06.007
[43] Schildkamp, K., & Lai, M. K. (2013). Conclusions and a data use framework. In K. Schildkamp, M. K. Lai., & L. Earl (Eds.), Data-based decision making in education: Challenges and opportunities (pp. 177–191). Springer. https://doi.org/10.1007/978-94-007-4816-3_10 | DOI 10.1007/978-94-007-4816-3_10
[44] Schildkamp, K., Poortman, C., Luyten, H., & Ebbeler, J. (2017). Factors promoting and hindering data-based decision making in schools. School Effectiveness and School Improvement, 28(2), 242–258. https://doi.org/10.1080/09243453.2016.1256901 | DOI 10.1080/09243453.2016.1256901
[45] 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 decisionmaking. Journal of Educational Change, 20(3), 1–43. https://doi.org/10.1007/s10833-019-09345-3 | DOI 10.1007/s10833-019-09345-3
[46] Smeed, J. L., Ehrich, L. C., Kimber, M., & Perry, L. (2011). Data-driven accountability in Australia: An unfolding story with lessons for leaders. The Australian Educational Leader, 33(2), 17–20.
[47] Spillane, J. P. (2012). Data in practice: Conceptualizing the data-based decision-making phenomena. American Journal of Education, 118(2), 113–141. https://doi.org/10.1086/663283 | DOI 10.1086/663283
[48] Thoonen, E. E. J., Sleegers, P. J. C., Oort, F. J., Peetsma, T. T. D., & Geijsel, F. P. (2011). How to improve teaching practices: The role of teacher motivation, organizational factors and leadership practices. Educational Administration Quarterly, 47(3), 496–536. https://doi.org/10.1177/0013161X11400185 | DOI 10.1177/0013161X11400185
[49] Timperley, H. S. (2005a). Distributed leadership: Developing theory from practice. Journal of Curriculum Studies, 37(4), 395–420. https://doi.org/10.1080/00220270500038545 | DOI 10.1080/00220270500038545
[50] Timperley, H. S. (2005b). Instructional leadership challenges: The case of using student achievement information for instructional improvement. Leadership and Policy in Schools, 4(1), 3–22. https://doi.org/10.1080/15700760590924591 | DOI 10.1080/15700760590924591
[51] Timperley, H. S. (2006). Learning challenges involved in developing leading for learning. Educational Management Administration and Leadership, 34(4), 549–566. https://doi.org/10.1177/1741143206068217 | DOI 10.1177/1741143206068217
[52] Van Gasse, R., Vanlommel, K., Vanhoof, J., & Van Petegem, P. (2016). Teacher collaboration on the use of pupil learning outcome data: A rich environment for professional learning? Teaching and Teacher Education, 60, 387–397. https://doi.org/10.1016/j.tate.2016.07.004 | DOI 10.1016/j.tate.2016.07.004
[53] Vanhoof, J., Verhaeghe, G., Van Petegem, P., & Valcke, M. (2012). Flemish primary teachers' use of school performance feedback and the relationship with school characteristics. Educational Research, 54(4), 431–449. https://doi.org/10.1080/00131881.2012.734726 | DOI 10.1080/00131881.2012.734726
[54] Vanlommel, K., Vanhoof, J., & Van Petegem, P. (2016). Data use by teachers: The impact of motivation, decision-making style, supportive relationships and reflective capacity. Educational Studies, 42(1), 36–53. https://doi.org/10.1080/03055698.2016.1148582 | DOI 10.1080/03055698.2016.1148582
[55] Vanlommel, K., Van Gasse, R., Vanhoof, J., & Van Petegem, P. (2018). Teachers' high-stakes decision making. How teaching approaches affect rational and intuitive data collection. Teaching and Teacher Education, 71, 108–119. https://doi.org/10.1016/j.tate.2017.12.011 | DOI 10.1016/j.tate.2017.12.011
[56] Wayman, J. C., & Jimerson, J. B. (2014). Teacher needs for data-related professional learning. Studies in Educational Evaluation, 42, 25–34. https://doi.org/10.1016/j.stueduc.2013.11.001 | DOI 10.1016/j.stueduc.2013.11.001
[57] Wayman, J. C., Jimerson, J. B., & Cho, V. (2012). Organizational considerations in establishing the Data-Informed District. School Effectiveness and School Improvement, 23(2), 159–178. https://doi.org/10.1080/09243453.2011.652124 | DOI 10.1080/09243453.2011.652124
