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Articles

A systematic review of studies investigating science teaching and learning: over two decades of TIMSS and PISA

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Pages 2035-2058 | Received 21 Mar 2022, Accepted 29 Jul 2022, Published online: 22 Aug 2022

References

  • Aditomo, A., & Klieme, E. (2020). Forms of inquiry-based science instruction and their relations with learning outcomes: Evidence from high and low-performing education systems. International Journal of Science Education, 42(4), 504–525. https://doi.org/10.1080/09500693.2020.1716093
  • Areepattamannil, S. (2012). Effects of inquiry-based science instruction on science achievement and interest in science: Evidence from Qatar. The Journal of Educational Research, 105(2), 134–146. https://doi.org/10.1080/00220671.2010.533717
  • Areepattamannil, S., Cairns, D., & Dickson, M. (2020). Teacher-directed versus inquiry-based science instruction: Investigating links to adolescent students’ science dispositions across 66 countries. Journal of Research in Science Teacher, 31(6), 675–704. https://doi-org./10.1007/s11165-021-10002-0
  • Blanchard, M. R., Southerland, S. A., Osborne, J. W., Sampson, V. D., Annetta, L. A., & Granger, E. M. (2010). Is inquiry possible in light of accountability?: A quantitative comparison of the relative effectiveness of guided inquiry and verification laboratory instruction. Science Education, 94(4), 577–616. https://doi.org/10.1002/sce.20390
  • Cairns, D. (2019). Investigating the relationship between instructional practices and science achievement in an inquiry-based learning environment. International Journal of Science Education, 41(15), 2113–2135. https://doi.org/10.1080/09500693.2019.1660927
  • Ceylan, E., & Akerson, V. (2014). Comparing the low-and high-performing schools based on the TIMSS in the United States. Egitim ve Bilim, 39(173), 299–309. http://egitimvebilim.ted.org.tr/index.php/EB/article/viewFile/2594/705
  • Chi, S., Liu, X., Wang, Z., & Won Han, S. (2018). Moderation of the effects of scientific inquiry activities on low ses students’ PISA 2015 science achievement by school teacher support and disciplinary climate in science classroom across gender. International Journal of Science Education, 40(11), 1284–1304. https://doi.org/10.1080/09500693.2018.1476742
  • Chi, S., Wang, Z., & Liu, X. (2021). Moderating effects of teacher feedback on the associations among inquiry-based science practices and students’ science-related attitudes and beliefs. International Journal of Science Education, 43(14), 2426–2456. https://doi.org/10.1080/09500693.2021.1968532
  • Chichekian, T., & Shore, B. M. (2016). Preservice and practicing teachers’ self-efficacy for inquiry-based instruction. Cogent Education, 3(1), 1236872. https://doi.org/10.1080/2331186X.2016.1236872
  • Coertjens, L., Boeve-de Pauw, J., De Maeyer, S., & Van Petegem, P. (2010). Do schools make a difference in their students’ environmental attitudes and awareness? Evidence from PISA 2006. International Journal of Science and Mathematics Education, 8(3), 497–522. https://doi.org/10.1007/s10763-010-9200-0
  • Creemers, B., & Kyriakides, L. (2008). The dynamics of educational effectiveness: A contribution to policy, practice and theory in contemporary schools. Routledge.
  • Estrella, G., Au, J., Jaeggi, S. M., & Collins, P. (2018). Is inquiry science instruction effective for English language learners? A meta-analytic review. AERA Open, 4(2), 233285841876740–23. https://doi.org/10.1177/2332858418767402
  • European Commission. (2015). Science education for responsible citizenship: Report to the European Commission of the expert group on science education. Directorate-General for Research Innovation.
  • Forbes, C. T., Neumann, K., & Schiepe-Tiska, A. (2020). Patterns of inquiry-based science instruction and student science achievement in PISA 2015. International Journal of Science Education, 42(5), 783–806. https://doi.org/10.1080/09500693.2020.1730017
  • Furtak, E. M., Seidel, T., Iverson, H., & Briggs, D. C. (2012). Experimental and quasi-experimental studies of inquiry-based science teaching. Review of Educational Research, 82(3), 300–329. https://doi.org/10.3102/0034654312457206
  • Givvin, K. B., Hiebert, J., Jacobs, J. K., Hollingsworth, H., & Gallimore, R. (2005). Are there national patterns of teaching? Evidence from the TIMSS 1999 video study. Comparative Education Review, 49(3), 311–342. https://doi.org/10.1086/430260
  • Gough, D., Oliver, S., & Thomas, J. (2017). An introduction to systematic reviews. Sage.
  • Guenole, N., & Brown, A. (2014). The consequences of ignoring measurement invariance for path coefficients in structural equation models. Frontiers in Psychology, 5, 980. https://doi.org/10.3389/fpsyg.2014.00980
  • Gustafsson, J.-E., & Nilsen, T. (2020). Methods of causal analysis with ILSA data. In T. Nilsen, A. Stancel-Piątak, & J.-E. Gustafsson (Eds.), International handbook of comparative large-scale studies in education: Perspectives, methods and findings (pp. 1–28). Springer International Publishing.
  • Hopfenbeck, T. N., Lenkeit, J., El Masri, Y., Cantrell, K., Ryan, J., & Baird, J.-A. (2018). Lessons learned from PISA: A systematic review of peer-reviewed articles on the programme for international student assessment. Scandinavian Journal of Educational Research, 62(3), 333–353. https://doi.org/10.1080/00313831.2016.1258726
  • Hwang, J., Choi, K. M., Bae, Y., & Shin, D. H. (2018). Do teachers’ instructional practices moderate equity in mathematical and scientific literacy?: An investigation of the PISA 2012 and 2015. International Journal of Science and Mathematics Education, 16(S1), 25–45. https://doi.org/10.1007/s10763-018-9909-8
  • Jerrim, J., Oliver, M., & Sims, S. (2019). The relationship between inquiry-based teaching and students’ achievement. New evidence from a longitudinal PISA study in England. Learning and Instruction, 61, 35–44. https://doi.org/10.1016/j.learninstruc.2018.12.004
  • Jiang, F., & McComas, W. F. (2015). The effects of inquiry teaching on student science achievement and attitudes: Evidence from propensity score analysis of PISA data. International Journal of Science Education, 37(3), 554–576. https://doi.org/10.1080/09500693.2014.1000426
  • Kang, J., & Keinonen, T. (2016). Examining factors affecting implementation of inquiry-based learning in Finland and South Korea. Problems of Education in the 21st Century, 74(1), 31–47. https://doi.org/10.33225/pec/16.74.34
  • Klieme, E., Pauli, C., & Reusser, K. (2009). The pythagoras study— investigating effects of teaching and learning in Swiss and German mathematics classrooms. In T. Janik, & T. Seidel (Eds.), The power of video studies in investigating teaching and learning in the classroom (pp. 137–160). Waxmann.
  • Lau, K.-C., & Ho, S.-C. E. (2022). Attitudes towards science, teaching practices, and science performance in PISA 2015: Multilevel analysis of the Chinese and Western top performers. Research in Science Education, 52(2), 415–426. https://doi.org/10.1007/s11165-020-09954-6
  • Lau, K.-C., & Lam, T. Y.-P. (2017). Instructional practices and science performance of 10 top-performing regions in PISA 2015. International Journal of Science Education, 39(15), 2128–2149. https://doi.org/10.1080/09500693.2017.1387947
  • Lavonen, J., & Laaksonen, S. (2009). Context of teaching and learning school science in Finland: Reflections on PISA 2006 results. Journal of Research in Science Teaching, 46(8), 922–944. https://doi.org/10.1002/tea.20339
  • Lederman, N. G. (2019). Contextualizing the relationship between nature of scientific knowledge and scientific inquiry. Science & Education, 28(3-5), 249–267. https://doi.org/10.1007/s11191-019-00030-8
  • Li, S., Liu, X., Yang, Y., & Tripp, J. (2022). Effects of teacher professional development and science classroom learning environment on students’ science achievement. Research in Science Education, 52, 415–426. https://doi-org./10.1007/s11165-020-09979-x
  • Lin, T.-J., Lin, T.-C., Potvin, P., & Tsai, C.-C. (2019). Research trends in science education from 2013 to 2017: A systematic content analysis of publications in selected journals. International Journal of Science Education, 41(3), 367–387. https://doi.org/10.1080/09500693.2018.1550274
  • Liou, P. Y. (2021). Students’ attitudes toward science and science achievement: An analysis of the differential effects of science instructional practices. Journal of Research in Science Teaching, 58(3), 310–334. https://doi.org/10.1002/tea.21643
  • Liou, P.-Y., & Jessie Ho, H.-N. (2018). Relationships among instructional practices, students’ motivational beliefs and science achievement in Taiwan using hierarchical linear modelling. Research Papers in Education, 33(1), 73–88. https://doi.org/10.1080/02671522.2016.1236832
  • Marsh, H. W., Lüdtke, O., Nagengast, B., Trautwein, U., Morin, A. J. S., Abduljabbar, A. S., & Köller, O. (2012). Classroom climate and contextual effects: Conceptual and methodological issues in the evaluation of group-level effects. Educational Psychologist, 47(2), 106–124. https://doi.org/10.1080/00461520.2012.670488
  • Mullis, I. V. S., & Martin, M. O. (Eds.) (2017). TIMSS 2019 Context Questionnaire Framework. TIMSS & PIRLS International Study Center. http://timssandpirls.bc.edu/timss2019/frameworks/framework-chapters/science-framework/.
  • Mullis, I. V. S., Martin, M. O., Foy, P., Kelly, D. L., & Fishbein, B. (2020). TIMSS 2019 International Results in Mathematics and Science. TIMSS & PIRLS International Study Center. https://timssandpirls.bc.edu/timss2019/international-results/.
  • National Research Council. (2012). A framework for K-12 science education: Practices, crosscutting concepts, and core ideas. National Academies Press.
  • OECD. (2016a). PISA 2015. Assessment and analytical framework. OECD Publishing.
  • OECD. (2016b). PISA 2015 results. Policies and practices for successful schools. OECD Publishing.
  • Oliver, M., McConney, A., & Woods-McConney, A. (2021). The efficacy of inquiry-based instruction in science: A comparative analysis of six countries using PISA 2015. Research in Science Education, 51(S2), 595–616. https://doi.org/10.1007/s11165-019-09901-0
  • Osborne, J., & Dillon, J. (2010). Good practice in science teaching: What research has to say (2nd edition). McGraw-Hill Education.
  • Pepper, D., Hodgen, J., Lamesoo, K., Kõiv, P., & Tolboom, J. (2018). Think aloud: Using cognitive interviewing to validate the PISA assessment of student self-efficacy in mathematics. International Journal of Research & Method in Education, 41(1), 3–16. https://doi.org/10.1080/1743727X.2016.1238891
  • Perera, H. N., Maghsoudlou, A., Miller, C. J., McIlveen, P., Barber, D., Part, R., & Reyes, A. L. (2022). Relations of science teaching self-efficacy with instructional practices, student achievement and support, and teacher job satisfaction. Contemporary Educational Psychology, 69, 1–11. https://doi.org/10.1016/j.cedpsych.2021.102041.
  • Pongsophon, P., & Herman, B. C. (2017). A theory of planned behaviour-based analysis of TIMSS 2011 to determine factors influencing inquiry teaching practices in high-performing countries. International Journal of Science Education, 39(10), 1304–1325. https://doi.org/10.1080/09500693.2017.1328620
  • Rocard, M., Csermely, P., Jorde, D., Dieter Lenzen, W.-H. H., & Hemmo, V. (2007). Science education now: A renewed pedagogy for the future of Europe. European Commission. https://www.eesc.europa.eu/sites/default/files/resources/docs/rapportrocardfinal.pdf.
  • Rönnebeck, S., Bernholt, S., & Ropohl, M. (2016). Searching for a common ground – A literature review of empirical research on scientific inquiry activities. Studies in Science Education, 52(2), 161–197. https://doi.org/10.1080/03057267.2016.1206351
  • Roth, K., & Garnier, H. (2007). What science teaching looks like: An international perspective. Educational Leadership, 64(4), 16–23. https://www.ascd.org/el/articles/what-science-teaching-looks-like-aninternational-perspective
  • Roth, K., & Givvin, K. B. (2008). Implications for math and science instruction from the TIMSS 1999 video study. Principal Leadership, 8(9), 22–27. https://doi.org/10.1086/430260
  • Rutkowski, L., Gonzalez, E., Joncas, M., & von Davier, M. (2010). International Large-Scale assessment data. Educational Researcher, 39(2), 142–151. https://doi.org/10.3102/0013189X10363170
  • Rutkowski, L., & Svetina, D. (2014). Assessing the hypothesis of measurement invariance in the context of large-scale international surveys. Educational and Psychological Measurement, 74(1), 31–57. https://doi.org/10.1177/0013164413498257
  • Stapleton, L. (2013). Incorporating sampling weights into single-and multilevel analyses. In L. Rutkowski, M. von Davier, & D. Rutkowski (Eds.), Handbook of international large-scale assessment: Background, technical issues, and methods of data analysis (pp. 363–388). CRC Press.
  • Tai, R. H., Taylor, J. A., Reddy, V., & Banilower, E. R. (2022). The contribution of large educational surveys to science teacher education research. In J. A. Luft, & G. M. Jones (Eds.), Handbook of research on science teacher education (pp. 16–27). Routledge.
  • Tang, H., Qiu, C., Meng, L., Li, Y., & Zhang, J. (2020). Factors predicting inquiry-based teaching in science across one belt one road countries and regions: A multilevel analysis. SAGE Open, 10(2). https://doi.org/10.1177/2158244020932511.
  • Tang, N.-E., Tsai, C.-L., Barrow, L., & Romine, W. (2019). Impacts of enquiry-based science teaching on achievement gap between high-and-low SES students: Findings from PISA 2015. International Journal of Science Education, 41(4), 448–470. https://doi.org/10.1080/09500693.2018.1555726
  • Teig, N. (2019). Scientific inquiry in TIMSS and PISA 2015: Inquiry as an instructional approach and the assessment of inquiry as an instructional outcome in science [Dissertation, University of Oslo]. Norway.
  • Teig, N. (2022). Inquiry in science education. In T. Nilsen, A. Stancel-Piątak, & J.-E. Gustafsson (eds.), International handbook of comparative large-scale studies in education: Perspectives, methods, and findings (Vol. 88, pp. 1–31). Springer International Publishing. https://doi.org/10.1007/978-3-030-38298-8_62-1.
  • Teig, N., Bergem, O. K., Nilsen, T., & Senden, B. (2021). Gir utforskende arbeidsmåter i naturfag bedre læringsutbytte? [does inquiry-based teaching practice in science provide better learning outcomes?]. In T. Nilsen, & H. Kaarstein (Eds.), Med blikket mot naturfag [A view towards science] (pp. 46–72). Universitetsforlaget.
  • Teig, N., Scherer, R., & Kjærnsli, M. (2020). Identifying patterns of students' performance on simulated inquiry tasks usingPISA2015 log-file data. Journal of Research in Science Teaching, 57(9), 1400–1429. https://doi.org/10.1002/tea.21657
  • Teig, N., Scherer, R., & Nilsen, T. (2018). More isn't always better: The curvilinear relationship between inquiry-based teaching and student achievement in science. Learning and Instruction, 56, 20–29. https://doi.org/10.1016/j.learninstruc.2018.02.006
  • Teig, N., Scherer, R., & Nilsen, T. (2019). I know I can, but do I have the time? The role of teachers’ self-efficacy and perceived time constraints in implementing cognitive-activation strategies in science. Frontiers in Psychology, 10(July), 1697. Article 1697. https://doi.org/10.3389/fpsyg.2019.01697
  • von Davier, M., Gonzalez, E., & Mislevy, R. (2009). What are plausible values and why are they useful. IERI Monograph Series, 2(1), 9–36. https://www.ierinstitute.org/fileadmin/Documents/IERI_Monograph/IERI_Monograph_Volume_02_Chapter_01.pdf
  • Vorholzer, A., & von Aufschnaiter, C. (2019). Guidance in inquiry-based instruction – an attempt to disentangle a manifold construct. International Journal of Science Education, 41(11), 1562–1577. https://doi.org/10.1080/09500693.2019.1616124
  • Wang, H.-H., Lin, H.-S., Chen, Y.-C., Pan, Y.-T., & Hong, Z.-R. (2021). Modelling relationships among students’ inquiry-related learning activities, enjoyment of learning, and their intended choice of a future STEM career. International Journal of Science Education, 43(1), 157–178. https://doi.org/10.1080/09500693.2020.1860266
  • Zhang, F., & Bae, C. L. (2020). Motivational factors that influence student science achievement: A systematic literature review of TIMSS studies. International Journal of Science Education, 42(17), 2921–2944. https://doi.org/10.1080/09500693.2020.1843083
  • Zhang, F., Bae, C. L., & Broda, M. (2022). Science self-concept, relatedness, and teaching quality: A multilevel approach to examining factors that predict science achievement. International Journal of Science and Mathematics Education, 20(3), 503–529. https://doi.org/10.1007/s10763-021-10165-2