Skip to main content

Advertisement

Log in

Integrating video analysis of teacher and student behaviors to promote Preservice teachers’ teaching meta-strategic knowledge

  • Published:
Metacognition and Learning Aims and scope Submit manuscript

Abstract

Teachers need to notice and interpret student behavior as part of their everyday classroom work. Current teacher education programs often do not explicitly focus on helping pre-service teachers learn to analyze and interpret student behavior and understand how it may influence teachers’ teaching behaviors, which in turn may affect students’ thinking and achievements. Using a quasi-experimental design, the current study examined a systematic reflective approach promoting dual learning from both teacher and student perspectives in authentic videotaped classrooms. More specifically, the study examined how this dual reflective “professional vision” framework influenced pre-service teachers’ actual ability to explicitly teach meta-strategic knowledge (MSK) to students. Results indicated that pre-service teachers whose video-analysis reflected on both teachers’ and students’ behaviors demonstrated greater improvement in their MSK-teaching, and their students showed better MSK achievements, compared to pre-service teachers whose video-analysis reflected only on teachers’ behaviors. The current study suggests the need to integrate systematic dual reflective professional vision approaches – that analyze not only teachers’ but also students’ behaviors – into teacher preparation programs as a means for developing pre-service teachers’ capacity to promote students’ MSK.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1

Similar content being viewed by others

References

  • Alfieri, L., Brooks, P. J., Aldrich, N. J., & Tenenbaum, H. R. (2011). Does discovery-based instruction enhance learning? Journal of Educational Psychology, 103, 1, 1–18. https://doi.org/10.1037/a0021017.

  • Alles, M., Seidel, T., & Gröschner, A. (2018). Toward better goal clarity in instruction: How focus on content, social exchange and active learning supports teachers in improving dialogic teaching practices. International Education Studies (IES), 11(1), 11–24.

    Google Scholar 

  • Ben-David, A., & Zohar, A. (2008). Contribution of meta-strategic knowledge to scientific inquiry learning. International Journal of Science Education, 26(12), 1427–1443.

    Google Scholar 

  • Berliner, D. C. (2000). A personal response to those who bash teacher education. Journal of Teacher Education, 51(5), 358–371. https://doi.org/10.1177/0022487100051005004.

    Article  Google Scholar 

  • Blomberg, G., Stürmer, K., & Seidel, T. (2011). How pre-service teachers observe teaching on video: Effects of viewers’ teaching subjects and the subject of the video. Teaching and Teacher Education, 27(7), 1131–1140. https://doi.org/10.1016/j.tate.2011.04.008.

    Article  Google Scholar 

  • Blomberg, G., Sherin, M. G., Renkl, A., Glogger, I., & Seidel, T. (2014). Understanding video as a tool for teacher education: Investigating instructional strategies to promote reflection. Instructional Science, 42(3), 443–463.

    Google Scholar 

  • Blömeke, S., Gustafsson, J.-E., & Shavelson, R. J. (2015). Beyond dichotomies: Competence viewed as a continuum. Zeitschrift für Psychologie, 223(1), 3–13. https://doi.org/10.1027/2151-2604/a000194.

    Article  Google Scholar 

  • Borko, H. (2004). Professional development and teacher learning: Mapping the terrain. Educational Researcher, 33(8), 3–15. https://doi.org/10.3102/0013189x033008003.

    Article  Google Scholar 

  • Brown, A. L. (1987). Metacognition, executive control, self-regulation and other more mysterious mechanisms. In F. Weinert & R. Kluwe (Eds.), Metacognition, motivation and understanding (pp. 65–116). Hillsdale, NJ: Erlbaum.

    Google Scholar 

  • Brown, A. L., Bransford, J. D., Ferrara, R. A., & Campione, J. C. (1983). Learning, remembering, and understanding. In P. H. Mussen (Ed.), Handbook of child psychology, Cognitive development (Vol. 3, pp. 77–155). New York: Wiley.

    Google Scholar 

  • Butler, D., Schnellert, L., & Perry, N. E. (2017). Developing self-regulating learners. New York, NY: Pearson. Retrieved from http://www.pearsoncanada.ca/media/highered-showcase/multi-product-showcase/butler preface.pdf.

  • Carter, K., Sabers, D., Cushing, K., Pinnegar, S., & Berliner, D. C. (1987). Processing and using information about students: A study of expert, novice, and postulant teachers. Teaching and Teacher Education, 3(2), 147–157. https://doi.org/10.1016/0742-051x(87)90015-1.

    Article  Google Scholar 

  • Center for Educational Technology, 2013. CET 2013 encyclopedia: Education policy and curriculum in mathematics and science. Retrieved from CET International Mathematics and Science Study Center website: https://www.home.cet.ac.il/cet-world/

  • Chen, Z., & Klahr, D. (1999). All other things being equal: Acquisition and transfer of the control of variables strategy. Child Development, 70(5), 1098–1120. https://doi.org/10.1111/1467-8624.00081.

    Article  Google Scholar 

  • Cleary, T. J., & Zimmerman, B. J. (2004). Self-regulation empowerment program: A school-based program to enhance self-regulated and self-motivated cycles of student learning. Psychology in the Schools, 41, 537–550.

    Google Scholar 

  • Council of Chief State School Officers, & National Governors Association Center for Best Practices. (2011). Common core state standards initiative: Frequently asked questions. Retrieved from http://www.corestandards.org/frequently-asked-questions.

  • Davis, E. A. (2003). Prompting middle school science students for productive reflection: Generic and directed prompts. Journal of the Learning Sciences, 12(1), 91–142.

    Google Scholar 

  • Day, C. (1999). Developing teachers: The challenges of lifelong learning. London: Falmer Press.

    Google Scholar 

  • Dean, C. D. (1999). Problem based learning in teacher education. Montreal, Canada: Paper presented at the annual meeting of the American Educational Research Association.

    Google Scholar 

  • Dean Jr., D., & Kuhn, D. (2007). Direct instruction vs. discovery: The long view. Science Education, 91(3), 384–397. https://doi.org/10.1002/sce.20194.

    Article  Google Scholar 

  • Dignath, C., & Büttner, G. (2008). Components of fostering self-regulated learning among students. A meta-analysis on intervention studies at primary and secondary school level. Metacognition and Learning, 3(3), 231–264. https://doi.org/10.1007/s11409-008-9029-x.

    Article  Google Scholar 

  • Dignath, C., Büttner, G., & Langfeldt, H. P. (2008). How can primary school students acquire self-regulated learning most efficiently? A meta-analysis on interventions that aims at fostering self-regulation. Educational Research Review, 3, 101–129.

    Google Scholar 

  • Dignath-van Ewijk, C. (2016). Which components of teacher competence determine whether teachers enhance self-regulated learning? Predicting teachers’ self-reported promotion of self-regulated learning by means of teacher beliefs, knowledge, and self-efficacy. Frontline Learning Research, 4(5), 83–105. https://doi.org/10.14786/flr.v4i5.247.

    Article  Google Scholar 

  • Dignath-van Ewijk, C., Dickhäuser, O., & Büttner, G. (2013). Assessing how teachers enhance self-regulated learning: A mulit-perspective approach. Journal of Cognitive Education and Psychology, Special Issue of Self-Regulated Learning, 21, 338–358.

    Google Scholar 

  • Edens, K. (2000). Preparing problem solvers for the 21st century through problem-based learning. College Teaching, 48(2), 55–60.

    Google Scholar 

  • Edwards, S., & Hammer, M. (2006). Laura’s story: Using problem based learning in early childhood and primary teacher education. Teaching and Teacher Education, 22, 465–477.

    Google Scholar 

  • van Es, E. A., & Sherin, M. G. (2002). Learning to notice: Scaffolding new teachers’ interpretations of classroom interactions. Journal of Technology and Teacher Education, 10(4), 571–596.

    Google Scholar 

  • van Es, E., & Sherin, M. G. (2008). Mathematics teachers’ “learning to notice” in the context of a video club. Teaching and Teacher Education, 24(2), 244–276. https://doi.org/10.1016/j.tate.2006.11.005.

    Article  Google Scholar 

  • van Es, E. A., & Sherin, M. G. (2010). The influence of video clubs on teachers’ thinking and practice. Journal of Mathematics Teacher Education, 13, 155–176. https://doi.org/10.1007/s10857-009-9130-3.

    Article  Google Scholar 

  • Flavell, J. H. (1979). Metacognition and cognitive monitoring: A new area of cognitive-developmental inquiry. American Psychologist, 34(10), 906–911. https://doi.org/10.1037//0003-066x.34.10.906.

    Article  Google Scholar 

  • Flavell, J. H., Miller, P. H., & Miller, S. A. (2002). Cognitive development (4th ed.). Englewood Cliffs, NJ: Prentice-Hall.

    Google Scholar 

  • Franke, M. L., Carpenter, T. P., Levi, L., & Fennema, E. (2001). Capturing teachers’ generative change: A follow-up study of professional development in mathematics. American Educational Research Journal, 38(3), 653–689. https://doi.org/10.3102/00028312038003653.

    Article  Google Scholar 

  • Ganda, D. R., & Boruchovitch, E. (2018). Promoting self-regulated learning of Brazilian preservice student teachers: Results of an intervention program. Frontiers in Education, 3, 5. https://doi.org/10.3389/feduc.2018.00005.

    Article  Google Scholar 

  • Garner, R., & Alexander, P. A. (1989). Metacognition: Answered and unanswered questions. Educational Psychologist, 24(2), 143–158. https://doi.org/10.1207/s15326985ep2402_2.

    Article  Google Scholar 

  • Gaudin, C., & Chaliès, S. (2015). Video viewing in teacher education and professional development. A literature review. Educational Research Review, 16, 41–67.

    Google Scholar 

  • Goodnough, K. (2003). Preparing pre-service science teachers: Can problem-based leaning help? Paper presented at the annual meeting of the American Educational Research Association: Chicago, IL.

    Google Scholar 

  • Goodwin, A. L. (1994). Making the transition from self to other: What do preservice teachers really think about multicultural education? Journal of Teacher Education, 45(2), 119–131. https://doi.org/10.1177/0022487194045002006.

    Article  Google Scholar 

  • Gröschner, A., Schindler, A., Holzberger, D., Alles, M., & Seidel, T. (2018). How systematic video reflection in teacher professional development regarding classroom discourse contributes to teacher and student self-efficacy. International Journal of Educational Research, 90, 223–233.

    Google Scholar 

  • Gruber, H. (2001). Acquisition of expertise. In J. Smelser & P. B. Baltes (Eds.), International encyclopedia of the social and behavioral sciences (pp. 5145–5150). Amsterdam, Netherlands: Elsevier.

    Google Scholar 

  • Hammer, D. (2000). Teacher inquiry. In J. Minstrell & E. van Zee (Eds.), Inquiring into inquiry learning and teaching in science (pp. 184–215). Washington DC: American Association for the Advancement of Science.

    Google Scholar 

  • Hassrick, E. M., Raudenbush, S. W., & Rosen, L. (2017). The ambitious elementary school: Its conception, design, and implications for educational equality. Chicago: University of Chicago Press.

    Google Scholar 

  • Heyd-Metzuyanim, E., & Shabtay, G. (2019). Narratives of “good” instruction: Teachers' identities as drawing on exploration vs. acquisition pedagogical discourses. ZDM – Mathematics Education, 51(3), 541–554.

    Google Scholar 

  • Hiebert, J., Morris, A. K., Berk, D., & Jansen, A. (2007). Preparing teachers to learn from teaching. Journal of Teacher Education, 58(1), 47–61. https://doi.org/10.1177/0022487106295726.

    Article  Google Scholar 

  • Hong, C. E., & Van Riper, I. (2019). Deepening teacher learning with video clubs. In C. E. Hong & I. Van Riper (Eds.), Video analysis of authentic teaching: A resource guide for professional development and growth (pp. 43–57). New York, NY: Rowman & Littlefield.

    Google Scholar 

  • Huling, L., Resta, V., & Rainwater, N. (2001). The case for a third alternative. Journal of Teacher Education, 52(4), 326–338. https://doi.org/10.1177/0022487101052004006.

    Article  Google Scholar 

  • Ifenthaler, D., & Seel, N. M. (2011). A longitudinal perspective on inductive reasoning tasks. Illuminating the probability of change. Learning and Instruction, 21(4), 538–549. https://doi.org/10.1016/j.learninstruc.2010.08.004.

    Article  Google Scholar 

  • Inhelder, B., & Piaget, J. (1958). The growth of logical thinking from childhood to adolescence: An essay on the construction of formal operational structures (Vol. 22). Psychology Press.

  • Janik, T., Minarikova, E., & Gröschner, A. (2015). Striving for change: Video-based teacher education programmes and related research. Orbis Scholae [Special Issue], 9(2).

  • Kersting, N. B., Givvin, K. B., Sotelo, F. L., & Stigler, J. W. (2009). Teachers’ analyses of classroom video predict student learning of mathematics: Further explorations of a novel measure of teacher knowledge. Journal of Teacher Education, 61(1–2), 172–181. https://doi.org/10.1177/0022487109347875.

    Article  Google Scholar 

  • Kirschner, P. A., Sweller, J., & Clark, R. E. (2006). Why minimal guidance during instruction does not work: An analysis of the failure of constructivist, discovery, problem-based, experiential, and inquiry-based teaching. Educational Psychologist, 41(2), 75–86. https://doi.org/10.1207/s15326985ep4102_1.

    Article  Google Scholar 

  • Korthagen, F. A. J. (2001, April). Linking practice and theory: The pedagogy of realistic teacher education. Paper presented at the annual meeting of the American Educational Research Association, Seattle, WA.

  • Kramarski, B., & Kohen, Z. (2017). Promoting preservice teachers’ dual self-regulation roles as learners and as teachers: Effects of generic vs. specific prompts. Metacognition and Learning, 12, 157–191.

    Google Scholar 

  • Kramarski, B., & Michalsky, T. (2009). Investigating pre-service teachers' professional growth in self-regulated learning environments. Journal of Educational Psychology, 101(1), 161–175.

  • Kuhn, D. (1999). Metacognitive development. In L. Balter & C. S. Tamis-LeMonda (Eds.), Child psychology: A handbook of contemporary issues (pp. 259–286). Ann Arbor, MI: Taylor and Francis.

    Google Scholar 

  • Kuhn, D. (2000a). Metacognitive development. Current Directions in Psychological Science, 9, 178–181.

    Google Scholar 

  • Kuhn, D. (2000b). Why development does (and doesn’t) occur: Evidence from the domain of inductive reasoning. In R. Siegler & J. McClelland (Eds.), Mechanisms of cognitive development: Neural and behavioral perspectives (pp. 221–249). Mahwah, NJ: Erlbaum.

    Google Scholar 

  • Kuhn, D. (2001a). How do people know? Psychological Science, 8, 1–8.

    Google Scholar 

  • Kuhn, D. (2001b). Theory of mind, metacognition and reasoning: A life-span perspective. In H. Hartman (Ed.), Metacognition in learning and instruction (pp. 301–326). Dordrecht, The Netherlands: Kluwer.

    Google Scholar 

  • Kuhn, D. (2002). What is scientific thinking, and how does it develop? In U. Goswami (Ed.), Blackwell handbooks of developmental psychology: Blackwell handbook of childhood cognitive development (pp. 371–393). Malden: Blackwell.

    Google Scholar 

  • Kuhn, D., & Dean, D. (2005). Is developing scientific thinking all about learning to control variables? Psychological Science, 16, 866–870.

    Google Scholar 

  • Kuhn, D., & Modrek, A. (2018). Do reasoning limitations undermine discourse? Thinking & Reasoning, 24(1), 97–116.

    Google Scholar 

  • Kuhn, D., & Pearsall, S. (1998). Relations between metastrategic knowledge and strategic performance. Cognitive Development, 13(2), 227–247. https://doi.org/10.1016/s0885-2014(98)90040-5.

    Article  Google Scholar 

  • Kuhn, D., Katz, J. B., & Dean, D. (2004). Developing reason. Thinking and Reasoning, 10(2), 197–217.

    Google Scholar 

  • Kunter, M. (2013). Preparing teachers for responsible teaching: Research on teachers' professional competence. Keynote address presented at EARLI conference, Munich, Germany.

  • Kunter, M., & Baumert, J. (2006). Who is the expert? Construct and criteria validity of student and teacher ratings of instruction. Learning Environments Research, 9(3), 231–251.

    Google Scholar 

  • Lead States, N. G. S. S. (2013). Next generation science standards: For states, by states. Washington, DC: National Academies Press.

    Google Scholar 

  • Levitt, B., & March, J. (1996). Organizational learning. In M. D. Cohen & L. S. Sproull (Eds.), Organizational learning (pp. 516–540). Thousand Oaks, CA: Sage.

    Google Scholar 

  • Linnenbrink, E. A., & Pintrich, P. R. (2002). Achievement goal theory and affect: An asymmetrical bi-directional model. Educational Psychologist, 37(2), 69–78.

    Google Scholar 

  • Michalsky, T. (2012). Shaping self-regulation in science teachers’ professional growth: Inquiry skills. Science Education, 96(6), 1106–1133.

  • Michalsky, T. (2013). Integrating skills and wills instruction in self-regulated science text reading for secondary students. International Journal of Science Education, 35(11), 1846–1873.

  • Michalsky, T. (2014). Developing the SRL-PV assessment scheme: Preservice teachers’ professional vision for teaching self-regulated learning. Studies in Educational Evaluation, 43, 214–229.

  • Michalsky, T. (2017). What teachers know and do about assessing students’ self-regulated learning. Teachers College Record, 119(13), 20–33.

  • Michalsky, T., & Kramarski, B. (2015). Prompting reflections for integrating self-regulation into teacher technology education. Teachers College Record, 117(5), 1–38.

  • Michalsky, T., & Schechter, C. (2013). Preservice teachers’ self-regulated learning: Integrating learning from problems and learning from successes. Teaching and Teacher Education, 30, 60–73.

  • Modrek, A. S., & Kuhn, D. (2017). A cognitive cost of the need to achieve? Cognitive Development, 44, 12–20.

    Google Scholar 

  • Modrek, A. S., & Sandoval, W. A. (2020). Can autonomy play a role in causal reasoning? Cognitive Development, 54, 100849.

    Google Scholar 

  • Modrek, A. S., Kuhn, D., Conway, A., & Arvidsson, T. S. (2019). Cognitive regulation, not behavior regulation, predicts learning. Learning and Instruction, 60, 237–244.

    Google Scholar 

  • National Academies of Sciences, Engineering, and Medicine. (2016). Science literacy: Concepts, contexts, and consequences. Washington, DC: National Academies Press. Retrieved from https://doi.org/10.17226/23595

  • National Research Council. (2012). Monitoring progress toward successful K-12 STEM education: A nation advancing? Washington, DC: National Academies Press.

    Google Scholar 

  • Niess, M. L. (2001). A model for integrating technology in preservice science and mathematics content-specific teacher preparation. School Science and Mathematics, 101(2), 102–109. https://doi.org/10.1111/j.1949-8594.2001.tb18011.x.

    Article  Google Scholar 

  • Organization for Economic Co-operation and Development [OECD]. (2017). PISA 2015: Assessment and analytical framework - science, reading, mathematic, financial literacy and collaborative problem solving (rev. ed.). Retrieved from http://www.oecd-library.org/docserver/download/9817041e.pdf?expires=1521627125&id=id&accname=guest&checksum=2ED3BF3EE7E91AD7CB455C9A53C98262

  • Osipova, A., Prichard, B., Boardman, A. G., Kiely, M. T., & Carroll, P. E. (2011). Refocusing the lens: Enhancing elementary special education reading instruction through video self-reflection. Learning Disabilities Research & Practice, 26(3), 158–171. https://doi.org/10.1111/j.1540-5826.2011.00335.x.

    Article  Google Scholar 

  • Palmeri, T. J., Wong, A. C., & Gauthier, I. (2004). Computational approaches to the development of perceptual expertise. Trends in Cognitive Sciences, 8(8), 378–386. https://doi.org/10.1016/j.tics.2004.06.001.

    Article  Google Scholar 

  • Pearsall, S. (1999). Effects of metacognitive exercise on the development of scientific reasoning. Teachers College, Columbia University, New York: Unpublished doctoral dissertation.

    Google Scholar 

  • Perry, N. E., Vandekamp, K. O., Mercer, L. K., & Nordby, C. J. (2002). Investigating teacher-student interactions that foster self-regulated learning. Educational Psychologist, 37(1), 5–15. https://doi.org/10.1207/s15326985ep3701_2.

    Article  Google Scholar 

  • Perry, N. E., Phillips, L., & Hutchinson, L. (2006). Mentoring student teachers to support self-regulated learning. Elementary School Journal, 106(3), 237–254. https://doi.org/10.1086/501485.

    Article  Google Scholar 

  • Perry, B., Young-Loveridge, J., Dockett, S., & Doig, B. (2008). The development of young children's mathematical understanding. In H. Forgasz, A. Barkatsas, A. J. Bishop, B. Clarke, S. Keast, W. T. Seah, & P. Sullivan (Eds.), Research in mathematics education in Australasia 2004–2007 (pp. 17–40). Rotterdam: Sense.

    Google Scholar 

  • Perry, N. E., Brenner, C. A., & Fusaro, N. (2015). Closing the gap between theory and practice in self-regulated learning: Teacher learning teams as a framework for enhancing self-regulated teaching and learning. In T. J. Cleary (Ed.), Self-regulated learning interventions with at risk populations: Academic, mental health, and contextual considerations (pp. 229–250). Washington, DC: American Psychological Association.

    Google Scholar 

  • Putnam, R. T., & Borko, H. (2000). What do new views of knowledge and thinking have to say about research on teacher learning? Educational Researcher, 29(1), 4–15. https://doi.org/10.2307/1176586.

    Article  Google Scholar 

  • Randi, J. (2004). Teachers as self-regulated learners. Teachers College Record, 106(9), 1825–1853. https://doi.org/10.1111/j.1467-9620.2004.00407.x.

    Article  Google Scholar 

  • Randi, J., & Corno, L. (2000). Teacher innovations in self-regulated learning. In M. Boekaerts, P. R. Pintrich, & M. Zeidner (Eds.), Handbook of self-regulation (p. 651–685). Academic Press. https://doi.org/10.1016/B978-012109890-2/50049-4.

  • Richter, D., Kleinknecht, M., & Gröschner, A. (2019). What motivates teachers to participate in professional development? An empirical investigation of motivational orientations and the uptake of formal learning opportunities. Teaching and Teacher Education, 86, https://doi.org/10.1016/j.tate.2019.102929.

  • Ross, J. A. (1988). Controlling variables: A meta-analysis of studies. Review of Educational Research, 58(4), 405–437.

    Google Scholar 

  • Sabourin, J. L., Shores, L. R., Mott, B. W., & Lester, J. C. (2013). Understanding and predicting student self-regulated learning strategies in game-based learning environments. International Journal of Artificial Intelligence in Education, 23(1–4, 114), 94–114. https://doi.org/10.1007/s40593-013-0004-6.

  • Sandoval, A., Gonzalez, C., Alarcon, R., Pichara, K., & Montenegro, M. (2018a). Centralized student performance prediction in large courses based on low-cost variables in an institutional context. The Internet and Higher Education, 37, 76–89.

    Google Scholar 

  • Sandoval, W. A., Kwako, A., Modrek, A. S., & Kawasaki, J. (2018b). Patterns of classroom talk through participation in discourse-focused teacher professional development. In Proceed 13th Int Conf Learning Sci (Vol. 2, pp. 760–767).

    Google Scholar 

  • Santagata, R., & Angelici, G. (2010). Studying the impact of the lesson analysis framework on preservice teachers’ abilities to reflect on videos of classroom teaching. Journal of Teacher Education, 61(4), 339–349. https://doi.org/10.1177/0022487110369555.

    Article  Google Scholar 

  • Santagata, R., & Guarino, J. (2011). Using video to teach future teachers to learn from teaching. ZDM Mathematics Education, 43(1), 133–145.

    Google Scholar 

  • Santagata, R., Zannoni, C., & Stigler, J. W. (2007). The role of lesson analysis in pre-service teacher education: An empirical investigation of teacher learning from a virtual video-based field experience. Journal of Mathematics Teacher Education, 10(2), 123–140. https://doi.org/10.1007/s10857-007-9029-9.

    Article  Google Scholar 

  • Schön, D. (1983). The reflective practitioner. New York: Basic Books.

    Google Scholar 

  • Schraw, G. (1998). Promoting general metacognitive awareness. Instructional Science, 26, 13–125.

    Google Scholar 

  • Schraw, G., & Moshman, D. (1995). Metacognitive theories. Educational Psychology Review, 7(4), 351–371. https://doi.org/10.1007/bf02212307.

    Article  Google Scholar 

  • Schraw, G., Crippen, K. J., & Hartley, K. (2006). Promoting self-regulation in science education: Metacognition as part of a broader perspective on learning. Research in Science Education, 36(1–2), 111–139. https://doi.org/10.1007/s11165-005-3917-8.

    Article  Google Scholar 

  • Schunk, D. H., & Zimmerman, B. J. (1997). Social origins of self-regulatory competence. Educational Psychologist, 32(4), 195–208. https://doi.org/10.1207/s15326985ep3204_1.

    Article  Google Scholar 

  • Seidel, T. (2012). Implementing competence assessment in university education. Empirical Research in Vocational Education and Training, 4(1), 91–94.

    Google Scholar 

  • Seidel, T., & Prenzel, M. (2007). Wie lehrpersonen unterricht wahrnehmen und einschätzen: Erfassung pädagogisch-psychologischer kompetenzen mit videosequenzen [How teachers perceive lessons: Assessing educational competencies by means of videos]. Zeitschrift für Erziehungswissenschaft [Review of Education], 8, 201–216.

    Google Scholar 

  • Seidel, T., & Stürmer, K. (2014). Modeling and measuring the structure of professional vision in preservice teachers. American Educational Research Journal, 51(4), 739–771. https://doi.org/10.3102/0002831214531321.

    Article  Google Scholar 

  • Seidel, T., Schwindt, K., Stürmer, K., & Blomberg, G. (2008). Observer: Videobasiertes tool zur diagnose pedagogisch-psychologischer Kompetenzen bei Lehrpersonen [observer: Video-based tool to diagnose teachers’ professional vision]. Jena, Germany: Friedrich-Schiller-Universitat.

    Google Scholar 

  • Seidel, T., Blomberg, G., & Renkl, A. (2013). Instructional strategies for using video in teacher education. Teaching and Teacher Education, 34, 56–65.

    Google Scholar 

  • Sherin, M. G. (2007). The development of teachers’ professional vision in video clubs. In R. Goldman, R. Pea, B. Barron, & S. J. Derry (Eds.), Video research in the learning sciences (pp. 383–395). Mahwah, NJ: Lawrence Erlbaum.

    Google Scholar 

  • Shulman, L. S. (1987). Knowledge and teaching: Foundations of the new reform. Harvard Educational Review, 57(1), 1–22.

    Google Scholar 

  • Soodla, P., Jõgi, A. L., & Kikas, E. (2016). Relationships between teachers’ metacognitive knowledge and students’ metacognitive knowledge and reading achievement. European Journal of Psychology of Education, 32, 1–18.

    Google Scholar 

  • Stürmer, K., Könings, K. D., & Seidel, T. (2013a). Declarative knowledge and professional vision in teacher education: Effect of courses in teaching and learning. British Journal of Educational Psychology, 83(3), 467–483. https://doi.org/10.1111/j.2044-8279.2012.02075.x.

    Article  Google Scholar 

  • Stürmer, K., Seidel, T., & Schäfer, S. (2013b). Changes in professional vision in the context of practice. Gruppendynamik und Organisationsberatung, 44(3), 339–355. https://doi.org/10.1007/s11612-013-0216-0.

    Article  Google Scholar 

  • Tan, C., Chua, C. S. K., & Goh, O. (2015). Rethinking the framework for 21st-century education: Toward a communitarian conception. The Educational Forum, 79(3), 307–320.

    Google Scholar 

  • Veenman, M. V. J. (2011). Learning to self-monitor and self-regulate. In R. Mayer & P. Alexander (Eds.), Handbook of research on learning and instruction (pp. 197–218). New York: Routledge.

    Google Scholar 

  • Veenman, M. V. J., Van Hout-wolters, B. H. A. M., & Afflerbach, P. (2006). Metacognition and learning: Conceptual and methodological considerations. Metacognition and Learning, 1, 3–14.

    Google Scholar 

  • Weinfurt, K. P. (1995). Multivariate analysis of variance. In L. G. Grimm & P. R. Yarnold (Eds.), Reading and understanding multivariate statistics (pp. 245–276). Washington, DC: American Psychological Association.

    Google Scholar 

  • Yanqun, Z. (2019). The significance and instruction of metacognition in continuing education. International Forum of Teaching and Studies, 15(1), 29–37.

    Google Scholar 

  • Yeh, C., & Santagata, R. (2013, April). Preparing to learn from teaching: A study of the effects of two math methods courses on preservice teachers’ analysis skills. Paper presented at the AERA conference. San Francisco: USA.

    Google Scholar 

  • van Zee, E. V., & Minstrell, J. (1997). Using questioning to guide student thinking. Journal of the Learning Sciences, 6(2), 227–269. https://doi.org/10.1207/s15327809jls0602_3.

    Article  Google Scholar 

  • Zeichner, K. M., & Liston, D. P. (1987). Teaching student teachers to reflect. Harvard Educational Review, 57, 23–48.

    Google Scholar 

  • Zimmerman, B. J. (1998). Developing self-fulfilling cycles of academic regulation: An analysis of exemplary instructional models. In D. H. Schunk & B. J. Zimmerman (Eds.), Self-regulated learning: From teaching to self-reflective practice (pp. 1–19). New York, NY: Guilford.

    Google Scholar 

  • Zohar, A. (2004). Elements of teachers' pedagogical knowledge regarding instruction of higher order thinking. Journal of Science Teacher Education, 15(4), 293–312.

    Google Scholar 

  • Zohar, A., & Ben David, A. B. (2008). Explicit teaching of meta-strategic knowledge in authentic classroom situations. Metacognition and Learning, 3(1), 59–82. https://doi.org/10.1007/s11409-007-9019-4.

    Article  Google Scholar 

  • Zohar, A., & Lustov, E. (2018). Challenges in addressing metacognition in professional development programs in the context of instruction of higher-order thinking. In Y. Weinberger & Z. Libman (Eds.), Contemporary pedagogies in teacher education and development [eBook]. Retrieved from https://www.intechopen.com/books/contemporary-pedagogies-in-teachereducation-and-development/challenges-in-addressing-metacognition-inprofessional-development-programs-in-the-context-of-instru

  • Zohar, A., & Peled, B. (2008). The effects of explicit teaching of metastrategic knowledge on low- and high-achieving students. Learning and Instruction, 18(4), 337–353. https://doi.org/10.1016/j.learninstruc.2007.07.001

    Article  Google Scholar 

  • Zoller, U. (2000). Teaching tomorrow's colleges science courses – Are we getting it right? Journal of College Science Teaching, 29(6), 409–414.

    Google Scholar 

Download references

Funding

The research presented in this paper has been supported by funding from the Israel Science Foundation (ISF) Grant No 321/16.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Tova Michalsky.

Ethics declarations

Conflict of interest

The author declare that she have no conflicts of interest.

Informed consent

Informed consent was obtained from all individual participants included in the study.

Research involving human participants and/or animals

Human studies: The research reported in this study involving human participants was approved by the Research Ethics Board at Bar-Ilan University. According the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.

Additional information

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Appendix

Appendix

figure a

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Michalsky, T. Integrating video analysis of teacher and student behaviors to promote Preservice teachers’ teaching meta-strategic knowledge. Metacognition Learning 16, 595–622 (2021). https://doi.org/10.1007/s11409-020-09251-7

Download citation

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11409-020-09251-7

Keywords

Navigation