Abstract
Research on science instruction has revealed complex and nontrivial relations between instructional variables – including school system characteristics, teacher cognition and beliefs, teachers’ and students’ activities during instruction and last but not least, learning outcomes. To further investigate these relations, the development of respective models as well as appropriate research designs and methodologies are required. This will allow for tracing effects to the instructional level, shedding light on the well-known gap between teachers’ demands and students’ efforts as well as for the creation of interventions to overcome this gap. To this end, variables of teaching and learning have to be investigated using low- and high-inferent video analyses. Students’ and teachers’ behaviour holds valuable information for identifying cause-effect relations between what happens in the classroom and targeted outcomes.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
American Educational Research Association, American Psychological Association, & National Council on Measurement in Education. Standards for educational and psychological testing. Washington, DC: American Educational Research Association; 2004.
American Psychological Association. (51). Technical recommendations for psychological tests and diagnostic techniques. Psychological Bulletin, (2).
Anderson L. Instruction and Time-on- Task: a Review. Journal of Curriculum Studies. 1981;13(4):289–303. doi:10.1080/0022027810130402.
Anderson RD. A Consolidation and Appraisal of Science Meta-Analyses. Journal of Research in Science Teaching. 1983;20(5):497–509.
von Aufschnaiter C, Erduran S, Osborne J, Simon S. Arguing to learn and learning to argue: Case studies of how students’ argumentation relates to their scientific knowledge. Journal of Research in Science Teaching. 2008;45(1):101–131. doi:10.1002/tea.20213.
Backhaus, K., Erichson, B., Plinke, W., & Weiber, R. (2006). Multivariate Analysemethoden: Eine anwendungsorientierte Einführung (Vol. 11). [Multivariate analysis: an applied oriented introduction] Berlin: Springer.
Baumert J, Kunter M, Blum W, Brunner M, Voss T, Jordan A. Teachers’ Mathematical Knowledge, Cognitive Activation in the Classroom, and Student Progress. American Educational Research Journal. 2010;47(1):133–180. doi:10.3102/0002831209345157.
Berg, B. L. (2004). Qualitative research methods for the social sciences (5th ed.). Boston: Pearson. Retrieved from http://www.worldcat.org/oclc/51223512
Bromme, R. (2008). Lehrerexpertise. In W. Schneider & M. Hasselhorn (Eds.), Handbuch der pädagogischen Psychologie (pp. 159–167). [Handbook of pedagogical psychology] Göttingen ;, Bern, Wien, Paris, Oxford, Prag, Toronto, Cambridge, MA, Amsterdam, Kopenhagen: Hogrefe.
Bromme R. Kompetenzen, Funktionen und unterrichtliches Handeln der Lehrer. In: Weinert FE, editor. Enzyklopädie der Psychologie, Psychologie des Unterrichts und der Schule, vol. 3. Göttingen: Hogrefe; 1997. p. 177–212.
Brophy JE, Good TL. Teacher behaviour and student achievement. In: Wittrock MC, editor. Handbook of research on teaching. New York: Macmillan; 1986. p. 328–375.
Chao I, Jen T. Policy Evaluation on Technology Integrated Instructions of Junior High Math and Science Teaching in Taiwan. In: Richards G, editor. Proceedings of World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education 2007. Chesapeake, VA: AACE; 2007. p. 2204–2211.
Clark CM, Peterson PLM. Teachers’ Tought Processes. In: Wittrock MC, editor. Handbook of Research on Teaching. New York: Macmillan Publishing Company; 1986. p. 255–296.
Clarke DJ, Hollingsworth H. Elaborating a model of teacher professional growth. Teaching and Teacher Education. 2002;18(8):947–967.
Clausen, M. (2000). Wahrnehmung von Unterricht, Übereinstimmung, Konstruktvalidität und Kriteriumsvalidität in der Forschung zur Unterrichtsqualität (Dissertation). [Perceiving lessons, accordance, construct validity and criterion validity in research on quality of instruction] Freie Universität Berlin, Berlin.
Duschl R. Science Education in Three-Part Harmony: Balancing Conceptual, Epistemic, and Social Learning Goals. Review of Research in Education. 2008;32(1):268–291. doi:10.3102/ 0091732X07309371.
Einsiedler W. Unterrichtsqualität und Leistungsentwicklung: Literaturüberblick. In: Weinert FE, Helmke A, editors. Entwicklung im Grundschulalter. Weinheim: PVU; 1997. p. 225–240.
Ennis RH. Critical thinking assessment. Theory into Practice. 1993;32(3):179–186.
Erickson F. Audiovisual Records as a Primary Data Source. Sociological Methods & Research. 1982;11(2):213–232. doi:10.1177/0049124182011002008.
Erickson F. Qualitative methods research on teaching. In: Wittrock MC, editor. Handbook of research on teaching. New York: Macmillan; 1986. p. 119–161.
Fraser BJ, Walberg HJ, Welch WW, Hattie JA. Syntheses of Educational Productivity Research. International Journal of Educational Research. 1987;11:145–252.
Gage NL. Teaching methods. In: Ebel RL, Noll VH, Bauer RM, editors. Encyclopedia of educational research. 4th ed. New York: Macmillan; 1969. p. 1446–1458.
Getzels JW, Jackson PW. Merkmale der Lehrerpersönlichkeit. In: Ingenkamp K, editor. Handbuch der Unterrichtsforschung. Weinheim: Beltz; 1970. p. 1353–1526.
Glaser, B. G. (1992). Basics of grounded theory analysis. [S.l.]: Sociology Press. Retrieved from http://www.worldcat.org/oclc/72762268
Goodman, L. A., & Kruskal, W. (1979). Measures of association for cross classification. New York, NY: Springer-Verlag. Retrieved from http://www.worldcat.org/oclc/503191003
Grimshaw AD. Sound-Image Data Records for Research on Social Interaction: Some Questions and Answers. Sociological Methods & Research. 1982;11(2):121–144. doi:10.1177/ 0049124182011002002.
Hair, J, F., Black, W. C. Babin, B. J., Anderson, R. E., & Tatham, R. L. (2006), Multivariate data analysis (6th ed.). Upper Saddle River, N.J.: Prentice-Hall.
Hardy, M., & Bryman, A. (2004). Handbook of data analysis: Sage. Retrieved from http://books.google.de/books?id=kV0aK9DcuukC
Helmke A. Unterrichtsqualität: Erfassen, Bewerten, Verbessern. 4th ed. Seelze: Kallmeyersche Verlagsbuchhandlung GmbH; 2006.
Hiebert, J. (2003). Teaching mathematics in seven countries: Results from the TIMSS 1999 video study. Washington, DC: U.S. Gov. Print. Off. Retrieved from http://purl.access.gpo.gov/GPO/LPS31989
Hox, J. J. (2002). Multilevel analysis: techniques and applications: Lawrence Erlbaum Associates. Retrieved from http://books.google.de/books?id=LEfj0Nu2D8UC
Hugener, I., Pauli, C., Reusser, K., Lipowsky, F., Rakoczy, K., & Klieme, E. (2009). Teaching patterns and learning quality in Swiss and German mathematics lessons. Learning and Instruction, 19(1), 66–78. doi:10.1016/j.learninstruc.2008.02.001
Jacobs, J., Garnier, H., Gallimore, R., Hollingsworth, H., Givvin, K. B., Rust, K., … (2003). TIMSS 1999 Video Study Technical Report: Volume 1: Mathematics Study. Waschington, DC: National Center of Education Statistics.
Jacobs JK, Kawanaka T, Stigler JW. Integrating qualitative and quantitative approaches to the analysis of video data on classroom teaching. International Journal of Educational Research. 1999;31:717–724.
Jong, O. de, & van Driel, J. (2004). Exploring the developement of student teachers‘ PCK of the multiple meanings of chemistry topics. International Journal of Science and Mathematics Education, 2 (4), 477–491.
Kaplan, D. (2004). The Sage handbook of quantitative methodology for the social sciences. Thousand Oaks, Calif: Sage. Retrieved from http://www.worldcat.org/oclc/53970601
Krauss S, Brunner M, Kunter M, Baumert J, Blum W, Neubrand M, Jordan A. Pedagogical content knowledge and content knowledge of secondary mathematics teachers. Journal of Educational Psychology. 2008;100:716–725.
Krippendorf K. Content analysis. An Introduction to its Methodology. Beverly Hills: Sage; 1980.
Lederman NG, Latz MS. Knowledge structures in the preservice teacher: Sources, development, interactions, and relationships to teaching. Journal of Science Teacher Education. 1995;6(1):1–19.
Lipowsky, F., Rakoczy, K., Vetter, B., Klieme, E., Reusser, K., & Pauli, C. (2005). Quality of geometry instruction and its impact on the achievement of students with different characteristics. American Educational Research Association
Lipowsky, F., Rakoczy, K., Pauli, C., Drollinger-Vetter, B., Klieme, E., & Reusser, K. (2009). Quality of geometry instruction and its short-term impact on students’ understanding of the Pythagorean Theorem. Learning and Instruction, 19(6), 527–537. Retrieved from http://www.sciencedirect.com/science/article/B6VFW-4V5GCR7-1/2/8e40bb2c0c91432167cec213c5b9a8c7
Lubienski ST, Lubienski C. School Sector and Academic Achievement: A Multilevel Analysis of NAEP Mathematics Data: American Educational Research Journal. American Educational Research Journal. 2006;43(4):651–698.
Maas CJM, Hox JJ. Robustness issues in multilevel regression analysis. Statistica Neerlandica. 2004;58:127–137.
Mayring P. Qualitative Inhaltsanalyse: Grundlagen und Techniken. 5th ed. Weinheim: Dt. Studien-Verl; 1995.
Mayring, P. (2007). Qualitative Inhaltsanalyse. Grundlagen und Techniken (Vol. 9). Basel: Beltz.
McCurry, D. (2000). Technology for Critical Pedagogy: Beyond Self-Reflection with Video. In D. A. Willis, J. D. Price, & J. Willis (Eds.), Proceedings of SITE 2000. Abstracts (pp. 6–11). Charlottesville, VA: Association for the Advancement of Computer in Education (AACE).
Messick S. Meaning and Values in Test Validation: The Science and Ethics of Assessment. Educational Researcher. 1989;18(2):5–11. doi:10.3102/0013189X018002005.
Mortimer, E. F., & Scott, P. (2003). Meaning making in secondary science classrooms. Buckingham: Open University Press. Retrieved from http://www.worldcat.org/oclc/182530398
Norman K. Denzin, & Yvonna S. Lincoln. (2005). The SAGE handbook of qualitative research: Sage Publications. Retrieved from http://books.google.de/books?id=X85J8ipMpZEC
Oevermann U, Allert T, Konau E, Krambeck T. Die Methodologie einer „objektiven Hermeneutik" und ihre allgemeine forschungslogische Bedeutung in den Sozialwissenschaften. In: Soeffner H-G, editor. Interpretative Verfahren in den Sozial- und Textwissenschaften. Stuttgart: Metzler; 1979. p. 353–434.
Organisation for Economic Co-operation and Development. (2007). Programme for International Student Assessment (PISA) 2006: Science Competencies for Tomorrow’s World. Paris: Organisation for Economic Co-operation and Development. Retrieved from http://public.eblib.com/EBLPublic/ PublicView.do?ptiID = 359823
Oser F, Dick A, Patry J. Effective and responsible teaching: The new synthesis. San Francisco, CA: Jossey-Bass; 1992.
Peterson, K., Kauchak, D., & Yaakobi, D. (1980). Science students’ role-specific self-concept: Course, success, and gender. Science Education, 64 (2), 169–174. doi:10.1002/sce.3730640206
Peterson PL, Fennema E, Carpenter TP, Loef M. Teachers’ pedagogical content beliefs in mathematics. Cognition and Instruction. 1989;6(1):1–40.
Prenzel, M. (Ed.). (2004). PISA 2003: Der Bildungsstand der Jugendlichen in Deutschland - Ergebnisse des zweiten internationalen Vergleichs. Münster, München, Berlin: Waxmann. Retrieved from http://swbplus.bsz-bw.de/bsz114861056kla.htm
Rakoczy, K., Klieme, E., Drollinger-Vetter, B., Lipowsky, F., Pauli, C., & Reusser, K. (2007). Structure as a quality feature of instruction. In M. Prenzel (Ed.), Studies in the educational quality of schools. The final report on the DFG Priority Programme (pp. 101–120). Münster: Waxmann.
Reyer, T. (2005). Qualitative Video-Analysis Applied to Classroom Studies - A First-Steps Workshop. In H. E. Fischer (Ed.), Developing Standards in Research on Science Education. The ESERA Summer School 2004. Proceedings of the Conference on Developing Standards in Research on Science Education - the 7th ESERA Summer School, Mülheim, Germany, 28 August - 4 September 2004 (pp. 39–45). London: Taylor&Francis.
Roth, K. J., Druker, S. L., Garnier, H. E., Lemmens, M., Chen, C., Kawanaka, T., … (2006). Teaching science in five countries: Results from the TIMSS 1999 video study statistical analysis report. (NCES 2006–011). U.S. Department of Education,National Center for Education Statistics. Washington, DC: U.S. Government Printing Office. Retrieved from _http://nces.ed.gov._
Schön, D. A. (1987). Educating the reflective practitioner (1st). San Francisco: Jossey-Bass. Retrieved from http://www.worldcat.org/oclc/22142478
Seidel T, Prenzel M, Kobarg M, editors. How to run a video study. Münster: Waxmann; 2005.
Seidel, T., Rimmele, R., & Prenzel, M. (2005). Clarity and coherence of lesson goals as a scaffold for student learning. Learning and Instruction. doi:10.1016/j.learninstruc.2005.08.004
Seidel T, Rimmele R, Prenzel M. Gelegenheitsstrukturen beim Klassengespräch und ihre Bedeutung für die Lernmotivation. Unterrichtswissenschaft. 2003;31(2):142–165.
Seidel, T., Prenzel, M., Rimmele, R., Herweg, C., Kobarg, M., & Schwindt, K. (2007). Science teaching and learning in German physics classrooms. In M. Prenzel (Ed.), Studies in the educational quality of schools. The final report on the DFG Priority Programme (pp. 79–99). Münster: Waxmann.
Seidel, T., & Prenzel, M. (2005). How to run a video study. Technical report of the IPN Video Study. (Kobarg, M., Ed.). Münster: Waxmann.
Shulman LS. Knowledge and teaching of the new reform. Harvard Educational Review. 1987;57:1–22.
Shulman L. Those who understand: Knowledge growth in teaching. Educational Researcher. 1986;15(2):4–14.
Snijders, T. A. B., & Bosker, R. J. (1999). Multilevel analysis: An introduction to basic and advanced multilevel modeling. London: Sage Publications Ltd. Retrieved from http://www.worldcat.org/oclc/474779852
Staub F, Stern E. The nature of teachers’ pedagogical content beliefs matters for students’ achievement gains: quasi-experimental evidence from elementary mathematics. Journal of Educational Psychology. 2002;94(2):344–355.
Stigler JW, Hiebert J. Understanding and Improving Mathematics Instruction: An Overview of the TIMSS Video Study. Phi Delta Kappa. 1997;79(1):7–21.
Stigler, J., Gonzales, P., Kawanaka, T., Knoll, S., & Serrano, A. (1999). The TIMSS videotape classroom study. Methods and findings from an exploratory research project on eighth-grade mathematics instruction in Germany, Japan and the United States. Washington D.C.: U.S. Department of Education.
Strauss, A., & Corbin, J. (1998). Basics of qualitative research: techniques and procedures for developing grounded theory: Sage Publications. Retrieved from http://books.google.de/books?id=wTwYUnHYsmMC
Tashakkori, A., & Teddlie, C. (1998). Mixed methodology: Combining qualitative and quantitative approaches. Thousand Oaks, Calif: Sage. Retrieved from http://www.worldcat.org/oclc/38732106
Titscher, S., & Jenner, B. (2000). Methods of text and discourse analysis: Sage. Retrieved from http://books.google.de/books?id=qpaVYyn5Jj8C
Treumann, K. P. (1998). Triangulation als Kombination qualitativer und quantitativer Forschung. [Triangulation as combination of qualitative and quantitative research] In J. Abel, R. Möller, & K. P. Treumann (Eds.), Grundriß der Pädagogik: Vol. 2. Einführung in die Empirische Pädagogik. Stuttgart: W. Kohlhammer.
Turner J, Meyer D. Studying and Understanding the Instructional Contexts of Classrooms: Using our Past to Forge our Future. Educational Psychologist. 2000;35(2):69–85. doi:10.1207/S15326985EP3502_2.
von Aufschnaiter, S., & Welzel, M. (Eds.). (2001). Nutzung von Videodaten zur Untersuchung von Lehr-Lern-Prozessen: aktuelle Methoden empirischer pädagogischer Forschung. [Using video data for analysing teaching and learning: recent methods of empirical pedagogical research] Münster: Waxmann.
Wackermann, R., Trendel, G., & Fischer, H. E. (2010). Evaluation of a Theory of Instructional Sequences for Physics Instruction. International Journal of Science Education, 32(7), 963–985. doi:10.1080/09500690902984792
Walberg, H. J. (1981). A psychological theory of educational productivity. In F. H. Farley & N. Gordon (Eds.), Psychology and education: The state of the union ( (pp. 81–108). Berkeley: McCutchan.
Wang MC, Haertel GD, Walberg HJ. Toward a knowledge base for school learning. Review of Educational Research. 1993;63:249–294.
Wever, B. de, Vankeer, H., Schellens, T., & Valcke, M. (2007). Applying multilevel modelling to content analysis data: Methodological issues in the study of role assignment in asynchronous discussion groups. Learning and Instruction, 17(4), 436–447. doi:10.1016/j.learninstruc.2007.04.001
Wong A, Young D, Fraser B. A Multilevel Analysis of Learning Environments and Student Attitudes. Educational Psychology. 1997;17(4):449–468. doi:10.1080/0144341970170406.
Xiaoxia A. Gender Differences in Growth in Mathematics Achievement: Three- Level Longitudinal and Multilevel Analyses of Individual, Home, and School Influences. Mathematical Thinking & Learning. 2002;4(1):1–22.
Yip DY, Tsang WK, Cheung SP. Evaluation of the Effects of Medium of Instruction on the Science Learning of Hong Kong Secondary Students: Performance on the Science Achievement Test. Bilingual Research Journal. 2003;27(2):295–331. doi:10.1080/15235882.2003.10162808.
Young, D. J. (1997). A Multilevel Analysis of Science and Mathematics Achievement. Paper presented at the Annual Meeting of the American Educational Research Association (Chicago, IL, March 24–26).
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Sense Publishers
About this chapter
Cite this chapter
Fischer, H.E., Neumann, K. (2012). Video Analysis As A Tool For Understanding Science Instruction. In: Jorde, D., Dillon, J. (eds) Science Education Research and Practice in Europe. Cultural Perpectives in Science Education, vol 5. SensePublishers, Rotterdam. https://doi.org/10.1007/978-94-6091-900-8_6
Download citation
DOI: https://doi.org/10.1007/978-94-6091-900-8_6
Publisher Name: SensePublishers, Rotterdam
Online ISBN: 978-94-6091-900-8
eBook Packages: Humanities, Social Sciences and LawEducation (R0)