A Qualitative Investigation of Sociocultural Factors Impacting Assessment Design in Multilingual Education

Authors

    Shima Taghavian Department of Curriculum Studies, University of Shahid Rajaee Teacher Training, Tehran, Iran
    Farshid Kheirkhah * Department of Educational Psychology, University of Shahid Rajaee Teacher Training, Tehran, Iran farshid.kheirkhah44@gmail.com

Keywords:

Formative assessment, data interpretation, teacher beliefs, qualitative research, data use in education, secondary education, professional development

Abstract

This study aimed to identify and explore the key cognitive, contextual, and emotional factors that influence how secondary school teachers interpret and use assessment data in formative assessment contexts. This qualitative study was conducted with 25 secondary school teachers from Tehran, selected through purposive sampling to ensure relevance to the research focus. Data were collected using semi-structured interviews, designed to elicit rich narratives about teachers’ experiences with interpreting various forms of assessment data. Interviews were conducted until theoretical saturation was achieved, and each session was audio-recorded and transcribed verbatim. The data were analyzed inductively using thematic analysis, supported by NVivo software. The analysis followed a multi-step coding process, beginning with open coding, followed by the identification of subthemes and overarching categories. Three core themes emerged from the data: cognitive framing of assessment data, contextual influences on data use, and emotional and relational dynamics. Teachers’ beliefs about the purpose of assessment, their level of data literacy, and prior teaching experience shaped their interpretive approaches. Institutional constraints such as time limitations, lack of infrastructure, and rigid curricula affected data use, while collaborative cultures and relevant professional development were enabling factors. Emotional responses—ranging from anxiety to motivation—also influenced interpretation, especially when connected to student-teacher relationships and ethical concerns. The study underscores that teachers’ interpretation of formative assessment data is a multifaceted process shaped not only by technical skill but also by emotional readiness, professional beliefs, and contextual conditions. Improving formative data use requires a holistic approach involving targeted professional development, collaborative environments, and structural supports.

Downloads

Download data is not yet available.

References

Bennett, R. E. (2011). Formative assessment: A critical review. Assessment in Education: Principles, Policy & Practice, 18(1), 5–25. https://doi.org/10.1080/0969594X.2010.513678

Black, P., & Wiliam, D. (1998). Assessment and classroom learning. Assessment in Education: Principles, Policy & Practice, 5(1), 7–74. https://doi.org/10.1080/0969595980050102

Brookhart, S. M. (2011). Educational assessment knowledge and skills for teachers. Educational Measurement: Issues and Practice, 30(1), 3–12. https://doi.org/10.1111/j.1745-3992.2010.00195.x

Brown, G. T. L. (2011). Teachers’ conceptions of assessment: Comparing primary and secondary teachers in New Zealand. Assessment Matters, 3, 45–70.

Coburn, C. E., & Turner, E. O. (2011). Research on data use: A framework and analysis. Measurement: Interdisciplinary Research and Perspectives, 9(4), 173–206. https://doi.org/10.1080/15366367.2011.626729

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.

Datnow, A., & Park, V. (2015). Five key lessons for policy makers about data-informed practice. Phi Delta Kappan, 97(4), 8–12. https://doi.org/10.1177/0031721715619910

Datnow, A., & Park, V. (2018). Data-driven leadership. John Wiley & Sons.

Datnow, A., Park, V., & Wohlstetter, P. (2007). Achieving with data: How high-performing school systems use data to improve instruction for elementary students. Center on Educational Governance, University of Southern California.

Farrell, C. C., & Marsh, J. A. (2016). Metrics matter: How properties of data shape teachers’ instructional responses. Educational Administration Quarterly, 52(3), 423–462. https://doi.org/10.1177/0013161X16638429

Gearhart, M., & Osmundson, E. (2009). Assessment portfolios as opportunities for learning by teachers and students. Journal of Educational Psychology, 101(2), 211–221. https://doi.org/10.1037/a0014316

Heritage, M. (2010). Formative assessment: Making it happen in the classroom. Corwin Press.

Ingram, D., Louis, K. S., & Schroeder, R. G. (2004). Accountability policies and teacher decision making: Barriers to the use of data to improve practice. Teachers College Record, 106(6), 1258–1287. https://doi.org/10.1111/j.1467-9620.2004.00379.x

Jimerson, J. B., & Wayman, J. C. (2015). Professional learning for using data: Examining teacher responses to data-based practices. Teachers College Record, 117(4), 1–42.

Jimerson, J. B., Cho, V., & Wayman, J. C. (2013). Student-involved data use: Teacher practices and considerations for professional learning. Teaching and Teacher Education, 34, 228–238. https://doi.org/10.1016/j.tate.2013.04.003

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

Mandinach, E. B., & Gummer, E. S. (2016). Data literacy for educators: Making it count in teacher preparation and practice. Teachers College Press.

Marsh, J. A. (2012). Interventions promoting educators’ use of data: Research insights and gaps. Teachers College Record, 114(11), 1–48.

Nelson, T. H., Slavit, D., & Deuel, A. (2012). Lessons learned from a three-year mathematics teacher professional learning community. Journal of Teacher Education, 63(2), 122–135. https://doi.org/10.1177/0022487111426436

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

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

Schildkamp, K., Ehren, M. C. M., & Lai, M. K. (2020). Data-based decision making in education: Challenges and opportunities. Springer.

van Geel, M., Keuning, T., Visscher, A., & Fox, J. P. (2016). Assessing the effects of a school-wide data-based decision-making intervention on student achievement growth in primary schools. American Educational Research Journal, 53(2), 360–394. https://doi.org/10.3102/0002831216637346

Wiliam, D. (2011). Embedded formative assessment. Solution Tree Press.

Downloads

Published

2023-04-01

Submitted

2023-02-11

Revised

2023-03-14

Accepted

2023-03-25

How to Cite

Taghavian, S., & Kheirkhah, F. (2023). A Qualitative Investigation of Sociocultural Factors Impacting Assessment Design in Multilingual Education. Assessment and Practice in Educational Sciences, 1(2), 19-27. https://journalapes.com/index.php/apes/article/view/15

Similar Articles

31-40 of 53

You may also start an advanced similarity search for this article.