Data literacy for teaching from data team building: A systematic review
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Abstract
This study aims to analyze the existing literature on data literacy among teachers through the formation of data teams. A systematic review was conducted following the PRISMA protocol, using the Scopus, WoS, and EBSCOhost databases, and eight articles were selected for the final review. The results show that interventions with data teams improve self-efficacy, skills, and knowledge in data use, although the effects on attitudes and beliefs are less consistent. Challenges such as lack of time and resources were identified, as well as the need to improve specific competencies and address certain ethical concerns. The most effective interventions included prolonged follow-up and facilitator support, highlighting the importance of continuous backing. However, further research is needed to better understand the impact on teachers’ attitudes and to explore the applicability of these interventions in various educational contexts.
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References
Abrams, L. M., Varier, D., y Mehdi, T. (2020). The intersection of school context and teachers’ data use practice: Implications for an integrated approach to capacity building. Studies in Educational Evaluation, 69. https://doi.org/10.1016/j.stueduc.2020.100868
Almuhaideb, A. M., & Saeed, S. (2020). Fostering sustainable quality assurance practices in outcome-based education: Lessons learned from abet accreditation process of computing programs. Sustainability (Switzerland), 12(20), 1–21. https://doi.org/10.3390/su12208380
Al-Rahmi, W. M., Yahaya, N., Aldraiweesh, A. A., Alturki, U., Alamri, M., Bin Saud, M. S., Kamin, Y. Bin, Aljeraiwi, A. A., & Alhamed, O. A. (2019). Big Data Adoption and Knowledge Management Sharing: An Empirical Investigation on Their Adoption and Sustainability as a Purpose of Education. IEEE Access, 7, 47245–47258. https://doi.org/10.1109/ACCESS.2019.2906668
Bolhuis, E. (2019). The development of data use, data skills, and positive attitude towards data use in a data team intervention for teacher educators. Studies in Educational Evaluation, 60, 99–108. https://doi.org/10.1016/j.stueduc.2018.12.002
Bolhuis, E., Schildkamp, K., y Voogt, J. (2016). Data-based decision making in teams: enablers and barriers. Educational Research and Evaluation, 22(3–4), 213–233. https://doi.org/10.1080/13803611.2016.1247728
Boudett, K. P., City, E. A., y Murnane, R. J. (2015). Data wise: A step-by-step guide to using assessment results to improve teaching and learning. MA: Harvard Education Press.
Brinkhuis, M., van Deemter, K., & Schipper, E. (2021). Textual reporting in Pupil Monitoring Systems: A Natural Language Generation Approach.
Cho, V., & Wayman, J. C. (2014). Districts’ Efforts for Data Use and Computer Data Systems: The Role of Sensemaking in System Use and Implementation. Teachers College Record, 116(2). https://doi.org/10.1177/016146811411600203
Cole, A. W., Lennon, L., & Weber, N. L. (2021). Student perceptions of online active learning practices and online learning climate predict online course engagement. Interactive Learning Environments, 29(5), 866–880. https://doi.org/10.1080/10494820.2019.1619593
Conn, C. A., Bohan, K. J., Bies-Hernandez, N. J., Powell, P. J., Sweeny, S. P., Persinger, L. L., & Persinger, J. D. (2022). Expected data literacy knowledge and skills for early career teachers: Perspectives from school and district personnel. Teaching and Teacher Education, 111. https://doi.org/10.1016/j.tate.2021.103607
De Simone, J. J. (2020). The roles of collaborative professional development, self-efficacy, and positive affect in encouraging educator data use to aid student learning. Teacher Development, 24(4), 443–465. https://doi.org/10.1080/13664530.2020.1780302
Dunn, K. E., Airola, D. T., Lo, W. J., & Garrison, M. (2013). Becoming Data Driven: The Influence of Teachers’ Sense of Efficacy on Concerns Related to Data-Driven Decision Making. Journal of Experimental Education, 81(2), 222–241. https://doi.org/10.1080/00220973.2012.699899
Ebbeler, J., Poortman, C. L., Schildkamp, K., & Pieters, J. M. (2016). Effects of a data use intervention on educators’ use of knowledge and skills. Studies in Educational Evaluation, 48, 19–31. https://doi.org/10.1016/j.stueduc.2015.11.002
Gelderblom, G., Schildkamp, K., Pieters, J., & Ehren, M. (2016). Data-based decision making for instructional improvement in primary education. International Journal of Educational Research, 80, 1–14. https://doi.org/10.1016/j.ijer.2016.07.004
Gummer, E. S., & Mandinach, E. B. (2015). Building a Conceptual Framework for Data Literacy. Teachers College Record, 117(4). https://doi.org/10.1177/016146811511700401
Hartikainen, S., Rintala, H., Pylväs, L., & Nokelainen, P. (2019). The concept of active learning and the measurement of learning outcomes: A review of research in engineering higher education. Education Sciences, 9(4). https://doi.org/10.3390/educsci9040276
Hegestedt, R., Nouri, J., Rundquist, R., & Fors, U. (2023). Data-driven school improvement and data-literacy in K-12: Findings from a Swedish national program. International Journal of Emerging Technologies in Learning (Online), 18(15), 189. https://doi.org/10.3991/ijet.v18i15.37241
Hermansen, H., & Nerland, M. (2014). Reworking practice through an AfL project: An analysis of teachers’ collaborative engagement with new assessment guidelines. British Educational Research Journal, 40(1), 187–206. https://doi.org/10.1002/berj.3037
Hong, Q. N., Fàbregues, S., Bartlett, G., Boardman, F., Cargo, M., Dagenais, P., ... & Pluye, P. (2018). The Mixed Methods Appraisal Tool (MMAT) version 2018 for information professionals and researchers. Education for information, 34(4), 285-291. http://mixedmethodsappraisaltoolpublic.pbworks.com/
Hoogland, I., Schildkamp, K., van der Kleij, F., Heitink, M., Kippers, W., Veldkamp, B., & Dijkstra, A. M. (2016). Prerequisites for data-based decision making in the classroom: Research evidence and practical illustrations. Teaching and Teacher Education, 60, 377–386. https://doi.org/10.1016/j.tate.2016.07.012
Hubers, M. D., Moolenaar, N. M., Schildkamp, K., Daly, A. J., Handelzalts, A., & Pieters, J. M. (2018). Share and succeed: the development of knowledge sharing and brokerage in data teams’ network structures. Research Papers in Education, 33(2), 216–238. https://doi.org/10.1080/02671522.2017.1286682
Järvelä, S., Kirschner, P. A., Koivuniemi, J., & Järvenoja, &. (2015). Enhancing socially shared regulation in collaborative learning groups: designing for CSCL regulation tools Citation for published version (APA). Educational Technology Research and Development, 63(1), 125–142. https://doi.org/10.1007/s11423-014-9358-1
Jiménez-Hernández, D., González-Calatayud, V., Torres-Soto, A., Mayoral, A. M., & Morales, J. (2020). Digital competence of future secondary school teachers: Differences according to gender, age, and branch of knowledge. Sustainability (Switzerland), 12(22), 1–16. https://doi.org/10.3390/su12229473
Johnson, D. W., Johnson, R. T., Smith, K. A., & Smith, K. (2013). Cooperative Learning: Improving University Instruction By Basing Practice On Validated Theory. Journal on Excellence in University Teaching, 1–26.
Kalu, F., & Bwalya, J. (2017). What makes qualitative research good research? An exploratory analysis of critical elements. International Journal of Social Science Research, 5(2), 43. https://doi.org/10.5296/ijssr.v5i2.10711
Kippers, W. B., Poortman, C. L., Schildkamp, K., & Visscher, A. J. (2018). Data literacy: What do educators learn and struggle with during a data use intervention? Studies in Educational Evaluation, 56, 21–31. https://doi.org/10.1016/j.stueduc.2017.11.001
Kukulska-Hulme, A., & Viberg, O. (2018). Mobile collaborative language learning: State of the art. British Journal of Educational Technology, 49(2), 207–218. https://doi.org/10.1111/bjet.12580
Lai, M. K., & Schildkamp, K. (2013). Data-based decision making: An overview. En K. Schildkamp, M. Kuin Lai, L. Earl (Eds.), Data-based decision making in education: Challenges and opportunities (pp. 9-21). Springer. https://link.springer.com/chapter/10.1007/978-94-007-4816-3_2
Linder, S. M. (2011). The Facilitator’s Role in Elementary Mathematics Professional Development. Mathematics Teacher Education and Development, 13(2), 44–66.
Lofthouse, R. (2019). Coaching in education: a professional development process in formation. Professional Development in Education, 45(1), 33–45. https://doi.org/10.1080/19415257.2018.1529611
Mandinach, E. B., & Friedman, J. M. (2015). how Can Schools of Education help to Build Educators’ Capacity to Use Data? A Systemic View of the Issue. Teachers College Record, 117, 50. http://doi.org/10.1177/016146811511700404
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
______. (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., Honey, M., & Light, D. (2006). A Theoretical Framework for Data-Driven Decision Making. Annual Meeting of AERA.
Mandinach, E. B., & Schildkamp, K. (2021a). Misconceptions about data-based decision making in education: An exploration of the literature. Studies in Educational Evaluation, 69. https://doi.org/10.1016/j.stueduc.2020.100842
______. (2021b). Misconceptions about data-based decision making in education: An exploration of the literature. Studies in Educational Evaluation, 69. https://doi.org/10.1016/j.stueduc.2020.100842
Marsh, J. A. (2012). Interventions Promoting Educators’ Use of Data: Research Insights and Gaps. Teachers College Record, 114, 48. https://doi.org/10.1177/016146811211401106
Merk, S., Poindl, S., Wurster, S., & Bohl, T. (2020). Fostering aspects of pre-service teachers’ data literacy: Results of a randomized controlled trial. Teaching and Teacher Education, 91. https://doi.org/10.1016/j.tate.2020.103043
Michael, J. (2006). How We Learn Where’s the evidence that active learning works? Adv Physiol Educ, 30, 159–167. https://doi.org/10.1152/advan.00053.2006
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. https://doi.org/10.1016/j.tate.2021.103569
Neugebauer, S. R., Morrison, D., Karahalios, V., Harper, E., Jones, H., Lenihan, S., Oosterbaan, F., & Tindall, C. (2020). A Collaborative Model to Support K-12 Pre-Service Teachers’ Data-Based Decision Making in Schools: Integrating Data Discussions across Stakeholders, Spaces, and Subjects. Action in Teacher Education, 43(1), 85–101. https://doi.org/10.1080/01626620.2020.1842821
Onyema, E., Eucheria, N., Obafemi, F., Sen, Sh., Atonye, F., Sharma, A., & Alsayed, A. (2020). Impact of Coronavirus Pandemic on Education. Journal of Education and Practice, 11(13), 108–121. https://doi.org/10.7176/jep/11-13-12
Ouzzani, M., Hammady, H., Fedorowicz, Z., & Elmagarmid, A. (2016). Rayyan-a web and mobile app for systematic reviews. Systematic Reviews, 5(1). https://doi.org/10.1186/s13643-016-0384-4
Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., Shamseer, L., Tetzlaff, J. M., Akl, E. A., Brennan, S. E., Chou, R., Glanville, J., Grimshaw, J. M., Hróbjartsson, A., Lalu, M. M., Li, T., Loder, E. W., Mayo-Wilson, E., McDonald, S., … Moher, D. (2021). The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. The BMJ, 372, 1–9. https://doi.org/10.1136/bmj.n71
Perry, E., & Booth, J. (2024). The practices of professional development facilitators. Professional development in education, 50(1), 144-156. https://doi.org/10.1080/19415257.2021.1973073
Peters, M. T., Forster, N., Hebbecker, K., Forthmann, B., & Souvignier, E. (2021). Effects of Data-Based Decision-Making on Low-Performing Readers in General Education Classrooms: Cumulative Evidence From Six Intervention Studies. Journal of Learning Disabilities, 54(5), 334–348. https://doi.org/10.1177/00222194211011580
Randel, B., Apthorp, H., Beesley, A. D., Clark, T. F., y Wang, X. (2016). Impacts of professional development in classroom assessment on teacher and student outcomes. Journal of Educational Research, 109(5), 491–502. https://doi.org/10.1080/00220671.2014.992581
Reeves, T. D., y Chiang, J. L. (2018a). Online interventions to promote teacher data-driven decision making: Optimizing design to maximize impact. Studies in Educational Evaluation, 59, 256–269. https://doi.org/10.1016/j.stueduc.2018.09.006
______. (2018b). Online interventions to promote teacher data-driven decision making: Optimizing design to maximize impact. Studies in Educational Evaluation, 59, 256–269. https://doi.org/10.1016/j.stueduc.2018.09.006
______. (2019). Effects of an asynchronous online data literacy intervention on pre-service and in-service educators’ beliefs, self-efficacy, and practices. Computers and Education, 136, 13–33. https://doi.org/10.1016/j.compedu.2019.03.004
Reeves, T. D., y Honig, S. L. (2015). A classroom data literacy intervention for pre-service teachers. Teaching and Teacher Education, 50, 90–101. https://doi.org/10.1016/j.tate.2015.05.007
Sales, V. (1999). Women teachers and professional development: gender issues in the training programmes of the Aga Khan Education Service, Northern Areas, Pakistan. International journal of educational development, 19(6), 409-422. https://doi.org/10.1016/S0738-0593(99)00021-8
Schildkamp, K., and Ehren, M. (2013). From “intuition” to “data”-based decision making in Dutch secondary schools? In K. Schildkamp, M. K. Lai, and L. Earl (Eds.), Data-based Decision Making in Education: Challenges and Opportunities (pp. 49–67). Berlin: Springer. Doi: 10.1007/978-94-007-4816-3_4
Schildkamp, K., y Poortman, C. (2015). Factors Influencing the Functioning of Data Teams. Teachers College Record, 117(4). https://doi.org/10.1177/016146811511700403
Schildkamp, K., Poortman, C. L., y 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., Smit, M., y Blossing, U. (2019). Professional Development in the Use of Data: From Data to Knowledge in Data Teams. Scandinavian Journal of Educational Research, 63(3), 393–411. https://doi.org/10.1080/00313831.2017.1376350
Selwyn, N. (2015). Data entry: towards the critical study of digital data and education. Learning, Media and Technology, 40(1), 64–82. https://doi.org/10.1080/17439884.2014.921628
Slavin, R. E. (2014). Aprendizaje cooperativo y rendimiento académico: ¿por qué funciona el trabajo grupal? Anales de Psicologia, 30(3), 785–791. https://doi.org/10.6018/analesps.30.3.201201
Stock, M., y Duncan, H. (2010). Mentoring as a Professional DeveloPMent strategy for instructional coaches: Who Mentors the Mentors? Planning and Changing, 41(1), 57–69. https://doi.org/10.4135/9781446247549
Van Gasse, R., Vanlommel, K., Vanhoof, J., y Van Petegem, P. (2017). The impact of collaboration on teachers’ individual data use. School Effectiveness and School Improvement, 28(3), 489–504. https://doi.org/10.1080/09243453.2017.1321555
van Geel, M., Visscher, A. J., y Teunis, B. (2017). School characteristics influencing the implementation of a data-based decision making intervention. School Effectiveness and School Improvement, 28(3), 443–462. https://doi.org/10.1080/09243453.2017.1314972
Wayman, J. C., Midgley, S., y Stringfield, S. (2005, April). Collaborative teams to support data-based decision making and instructional improvement. In Annual Meeting of the American Educational Research Association, Montreal, Canada. https://www.researchgate.net/publication/228736383