1,738
Views
50
CrossRef citations to date
0
Altmetric
Articles

Effects of biology teachers’ professional knowledge and cognitive activation on students’ achievement

, , &
Pages 2642-2666 | Received 22 Feb 2016, Accepted 02 Nov 2016, Published online: 29 Nov 2016

References

  • Abell, S. K. (2007). Research on science teacher knowledge. In S. K. Abell & N. G. Lederman (Eds.), Handbook of research on science education (pp. 1105–1149). Mahwah, NJ: Lawrence Erlbaum Associates.
  • Allen, J., Gregory, A., Mikami, A., Lun, J., Hamre, B., & Pianta, R. (2013). Observation of effective teacher-student interactions in secondary school classrooms: Predicting student achievement with the classroom assessment scoring system-secondary. School Psychology Review, 42(1), 76–98.
  • Ball, D. L., Lubienski, S. T., & Mewborn, D. S. (2001). Research on teaching mathematics: The unsolved problem of teachers’ mathematical knowledge. In V. Richardson (Ed.), Handbook of research on teaching (pp. 433–456). Washington, DC: American Educational Research Association.
  • Baron, R. M., & Kenny, D. A. (1986). The moderator-mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations. Journal of Personality and Social Psychology, 51(6), 1173–1182. doi: 10.1037/0022-3514.51.6.1173
  • Bauer, J., Diercks, U., Retelsdorf, J., Kauper, T., Zimmermann, F., Köller, O., … Prenzel, M. (2011). Spannungsfeld Polyvalenz in der Lehrerbildung [ Polyvalence of teacher training programmes]. Zeitschrift für Erziehungswissenschaft, 14(4), 629–649. doi:10.1007/s11618-011-0239-7
  • Bauer, D. J., Preacher, K. J., & Gil, K. M. (2006). Conceptualizing and testing random indirect effects and moderated mediation in multilevel models: New procedures and recommendations. Psychological Methods, 11(2), 142–163. doi:10.1037/1082-989X.11.2.142
  • Baumert, J., & Kunter, M. (2013a). The effect of content knowledge and pedagogical content knowledge on instructional quality and student achievement. In M. Kunter, J. Baumert, W. Blum, U. Klusmann, S. Krauss, & M. Neubrand (Eds.), Cognitive activation in the mathematics classroom and professional competence of teachers: Results from the COACTIV project (pp. 175–206). New York, NY: Springer.
  • Baumert, J., & Kunter, M. (2013b). The COACTIV model of teachers’ professional competence. In M. Kunter, J. Baumert, W. Blum, U. Klusmann, S. Krauss, & M. Neubrand (Eds.), Cognitive activation in the mathematics classroom and professional competence of teachers: Results from the COACTIV project (pp. 25–48). New York, NY: Springer.
  • Baumert, J., Kunter, M., Blum, W., Brunner, M., Voss, T., Jordan, A., … Tsai, Y.-M. (2010). Teachers’ mathematical knowledge, cognitive activation in the classroom, and student progress. American Educational Research Journal, 47(1), 133–180. doi:10.3102/0002831209345157
  • Bavarian State Ministry for Education and Culture [StMUK] (Ed.) (2004). Lehrplan für das Gymnasium in Bayern [ Curriculum for the Bavarian Gymnasium]. Wolnzach: Kastner.
  • Beauducel, A., & Herzberg, P. Y. (2006). On the performance of maximum likelihood versus means and variance adjusted weighted least squares estimation in CFA. Structural Equation Modeling: A Multidisciplinary Journal, 13(2), 186–203. doi:10.1207/s15328007sem1302_2
  • Bednarz, N., & Proulx, J. (2009). Knowing and using mathematics in teaching: Conceptual and epistemological clarifications. For the Learning of Mathematics, 29(3), 11–17.
  • Bond, T. G., & Fox, C. M. (2007). Applying the Rasch model: Fundamental measurement in the human sciences (2nd ed.). Mahwah: Lawrence Erlbaum Associates.
  • Boone, W. J., & Scantlebury, K. (2006). The role of Rasch analysis when conducting science education research utilizing multiple-choice tests. Science Education, 90(2), 253–269. doi:10.1002/sce.20106
  • Boone, W. J., Staver, J. R., & Yale, M. S. (2014). Rasch analysis in the human sciences. Dordrecht: Springer.
  • Bromme, R. (1997). Kompetenzen, Funktionen und unterrichtliches Handeln des Lehrers [ Competencies, functions, and teaching of the teacher]. In F. E. Weinert (Ed.), Psychologie des Unterrichts und der Schule [ Psychology of instruction and school] (pp. 177–212). Göttingen: Hogrefe.
  • Brophy, J. E. (2000). Teaching. Brussels: International Academy of Education/International Bureau of Education (IAE).
  • Brunner, M., Kunter, M., Krauss, S., Klusmann, U., Baumert, J., Blum, W., … Tsai, Y.-M. (2006). Die professionelle Kompetenz von Mathematiklehrkäften: Konzeptualisierung, Erfassung und Bedeutung für den Unterricht: Eine Zwischenbilanz des COACTIV-Projekts [ Mathematics teachers’ professional competence: Conceptualization, measuring, and importance for teaching: Interim results of the COACTIV project]. In M. Prenzel & L. Allolio-Näcke (Eds.), Untersuchungen zur Bildungsqualität von Schule. Abschlussbericht des DFG-Schwerpunktprogramms [ Studies on educational quality: Final report of the DFG priority program] (pp. 54–82). Münster: Waxmann.
  • Cauet, E., Liepertz, S., Borowski, A., & Fischer, H. E. (2015). Does it matter what we measure?: Domain-specific professional knowledge of physics teachers. Schweizerische Zeitschrift für Bildungswissenschaften, 37(3), 462–479.
  • Chi, M. T. H., & Wylie, R. (2014). The ICAP framework: Linking cognitive engagement to active learning outcomes. Educational Psychologist, 49(4), 219–243. doi:10.1080/00461520.2014.965823
  • Conference of the Ministers of Education [KMK] (2005). Beschlüsse der Kultusministerkonferenz Bildungsstandards im Fach Biologie für den Mittleren Schulabschluss (Jahrgangsstufe 10) [ Resolution of the standing conference of the ministers of education and cultural affairs of the Länder in the federal republic of Germany education standards for the subject biology (grade 10)]. München: Luchterhand.
  • Cortina, K. S., & Thames, M. H. (2013). Teacher education in Germany. In M. Kunter, J. Baumert, W. Blum, U. Klusmann, S. Krauss, & M. Neubrand (Eds.), Cognitive activation in the mathematics classroom and professional competence of teachers. Results from the COACTIV project (pp. 49–62). New York, NY: Springer.
  • Craik, F. I., & Lockhart, R. S. (1972). Levels of processing: A framework for memory research. Journal of Verbal Learning and Verbal Behavior, 11(6), 671–684. doi: 10.1016/S0022-5371(72)80001-X
  • van Driel, J. H., Verloop, N., & de Vos, W. (1998). Developing science teachers’ pedagogical content knowledge. Journal of Research in Science Teaching, 35(6), 673–695. doi: 10.1002/(SICI)1098-2736(199808)35:6<673::AID-TEA5>3.0.CO;2-J
  • Ergönenc, J., Neumann, K., & Fischer, H. E. (2014). The impact of pedagogical content knowledge on cognitive activation and students learning. In H. E. Fischer, P. Labudde, K. Neumann, & J. Viiri (Eds.), Quality of instruction in physics (pp. 145–160). Münster: Waxmann.
  • Ewerhardy, A., Kleickmann, T., & Möller, K. (2012). Fördert ein konstruktivistisch orientierter naturwissenschaftlicher Sachunterricht mit strukturierenden Anteilen das konzeptuelle Verständnis bei den Lernenden? [ Does constructivist teaching with structuring elements in primary science instruction foster students’ conceptual understanding?] Zeitschrift für Grundschulforschung. Bildung im Elementar- und Primarbereich, 5(1), 76–88.
  • Fischer, H. E., Borowski, A., & Tepner, O. (2012). Professional knowledge of science teachers. In B. J. Fraser, K. Tobin, & C. J. McRobbie (Eds.), Springer international handbooks of education: Vol. 24,2. Second international handbook of science education (pp. 435–448). Berlin: Springer.
  • Fischer, H. E., Labudde, P., Neumann, K., & Viiri, J. (Eds.). (2014). Quality of instruction in physics. Münster: Waxmann.
  • Förtsch, C., Dorfner, T., Baumgartner, J., Werner, S., von Kotzebue, L., & Neuhaus, B. J. (2016). Fostering students’ conceptual knowledge in biology in the context of German National Education Standards. Manuscript submitted for publication.
  • Förtsch, C., Werner, S., Dorfner, T., von Kotzebue, L., & Neuhaus, B. J. (2016). Effects of cognitive activation in biology lessons on students’ situational interest and achievement. Research in Science Education. doi:10.1007/s11165-016-9517-y
  • Fraser, B. J., Walberg, H. J., Welch, W. W., & Hattie, J. A. (1987). Syntheses of educational productivity research. International Journal of Educational Research, 11(2), 147–252. doi: 10.1016/0883-0355(87)90035-8
  • Gess-Newsome, J. (1999). Pedagogical content knowledge: An introduction and orientation. In J. Gess-Newsome & N. G. Lederman (Eds.), Examining pedagogical content knowledge: The construct and its implications for science education (pp. 3–17). Dordrecht: Kluwer Academic.
  • Gess-Newsome, J. (2013). Pedagogical content knowledge. In J. Hattie & E. M. Anderman (Eds.), International guide to student achievement (pp. 257–259). New York, NY: Routledge.
  • Großschedl, J., Harms, U., Kleickmann, T., & Glowinski, I. (2015). Preservice biology teachers’ professional knowledge: Structure and learning opportunities. Journal of Science Teacher Education, 26(3), 291–318. doi:10.1007/s10972-015-9423-6
  • Großschedl, J., Mahler, D., Kleickmann, T., & Harms, U. (2014). Content-related knowledge of biology teachers from secondary schools: Structure and learning opportunities. International Journal of Science Education, 36(14), 2335–2366. doi:10.1080/09500693.2014.923949
  • Gröschner, A., Seidel, T., & Shavelson, R. J. (2013). Methods for studying teacher and teaching effectiveness. In J. Hattie & E. M. Anderman (Eds.), International guide to student achievement (pp. 240–242). New York, NY: Routledge.
  • Hattie, J. (2009). Visible learning: A synthesis of meta-analyses relating to achievement. London: Routledge.
  • Helmke, A. (2014). Unterrichtsqualität und Lehrerprofessionalität [ Instructional quality and teachers’ professional competence]. Seelze-Velber: Klett/Kallmeyer.
  • Hill, H. C., Ball, D. L., Blunk, M., Goffney, I. M., & Rowan, B. (2007). Validating the ecological assumption: The relationship of measure scores to classroom teaching and student learning. Measurement: Interdisciplinary Research & Perspective, 5(2–3), 107–118. doi:10.1080/15366360701487138
  • Houtveen, A. A. M., van de Grift, W. J. C. M., & Creemers, B. P. M. (2004). Effective school improvement in mathematics. School Effectiveness and School Improvement, 15(3–4), 337–376. doi:10.1080/09243450512331383242
  • Hu, L.-T., & Bentler, P. M. (1998). Fit indices in covariance structure modeling: Sensitivity to underparameterized model misspecification. Psychological Methods, 3(4), 424–453. doi: 10.1037/1082-989X.3.4.424
  • Jatzwauk, P., Rumann, S., & Sandmann, A. (2008). Der Einfluss des Aufgabeneinsatzes im Biologieunterricht auf die Lernleistung der Schüler - Ergebnisse einer Videostudie [ The effect of tasks in biology education on learning performance – a video study]. Zeitschrift für Didaktik der Naturwissenschaften, 14, 263–283.
  • Jordan, A., Krauss, S., Löwen, K., Blum, W., Neubrand, M., Brunner, M., … Baumert, J. (2008). Aufgaben im COACTIV-Projekt: Zeugnisse des kognitiven Aktivierungspotentials im deutschen Mathematikunterricht [ Tasks in COACTIV: potential to cognitive activate in German mathematics instruction]. Journal für Mathematik-Didaktik, 29(2), 83–107. doi: 10.1007/BF03339055
  • Jüttner, M., Boone, W., Park, S., & Neuhaus, B. J. (2013). Development and use of a test instrument to measure biology teachers’ content knowledge (CK) and pedagogical content knowledge (PCK). Educational Assessment, Evaluation and Accountability, 25(1), 45–67. doi:10.1007/s11092-013-9157-y
  • Jüttner, M., & Neuhaus, B. J. (2012). Development of Items for a Pedagogical Content Knowledge Test Based on Empirical Analysis of Pupils' Errors. International Journal of Science Education, 34(7), 1125–1143. doi:10.1080/09500693.2011.606511
  • Jüttner, M., & Neuhaus, B. J. (2013a). Das Professionswissen von Biologielehrkräften: Ein Vergleich zwischen Biologielehrkräften, Biologen und Pädagogen [Professional knowledge of biology teachers: Comparing biology teachers, biologists, and educationalists]. Zeitschrift für Didaktik der Naturwissenschaften, 19, 31–49.
  • Jüttner, M., & Neuhaus, B. J. (2013b). Validation of a Paper-and-Pencil Test Instrument Measuring Biology Teachers’ Pedagogical Content Knowledge by Using Think-Aloud Interviews. Journal of Education and Training Studies, 1(2), 113–125. doi:10.11114/jets.v1i2.126
  • Kahan, J., Cooper, D., & Bethea, K. (2003). The role of mathematics teachers’ content knowledge in their teaching: A framework for research applied to a study of student teachers. Journal of Mathematics Teacher Education, 6(3), 223–252. doi: 10.1023/A:1025175812582
  • Kleickmann, T. (2012). Kognitiv aktivieren und inhaltlich strukturieren im naturwissenschaftlichen Sachunterricht [ Cognitively activating and structuring content in science lessons]. Kiel: IPN Universität Kiel.
  • Klieme, E., Lipowsky, F., Rakoczy, K., & Ratzka, N. (2006). Qualitätsdimension und Wirksamkeit von Mathematikunterricht: Theoretische Grundlagen und ausgewählte Ergebnisse des Projekts ‘Pythagoras’ [ Dimension of quality and effectiveness of mathematics instruction: theoretical bases and selected results of the project ‘Pythagoras’]. In M. Prenzel & L. Allolio-Näcke (Eds.), Untersuchungen zur Bildungsqualität von Schule. Abschlussbericht des DFG-Schwerpunktprogramms [ Research on quality of education in school] (pp. 127–146). Münster: Waxmann.
  • Klieme, E., Pauli, C., & Reusser, K. (2009). The Pythagoras study: Investigating effects of teaching and learning in Swiss and German mathematics classrooms. In T. Janík & T. Seidel (Eds.), The power of video studies in investigating teaching and learning in the classroom (pp. 137–160). Münster: Waxmann.
  • Klieme, E., Schümer, G., & Knoll, S. (2001). Mathematikunterricht in der Sekundarstufe I: ‘Aufgabenkultur’ und Unterrichtsgestaltung [ Mathematics instruction in secondary education: task culture and instructional processes]. In Bundesministerium für Bildung und Forschung (Ed.), Timss – Impulse für Schule und Unterricht [ TIMSS – impetus for school and teaching] (pp. 43–57). Bonn: BMBF.
  • Krauss, S., Blum, W., Brunner, M., Neubrand, M., Baumert, J., Kunter, M., … Elsner, J. (2013). Mathematics teachers’ domain-specific professional knowledge: Conceptualization and test construction in COACTIV. In M. Kunter, J. Baumert, W. Blum, U. Klusmann, S. Krauss, & M. Neubrand (Eds.), Cognitive activation in the mathematics classroom and professional competence of teachers: Results from the COACTIV project (pp. 147–174). New York, NY: Springer.
  • Krauss, S., Brunner, M., Kunter, M., Baumert, J., Blum, W., Neubrand, M., & Jordan, A. (2008). Pedagogical content knowledge and content knowledge of secondary mathematics teachers. Journal of Educational Psychology, 100(3), 716–725. doi:10.1037/0022-0663.100.3.716
  • Kremer, K., Fischer, H. E., Kauertz, A., Mayer, J., Sumfleth, E., & Walpuski, M. (2012). Assessment of standards-based learning outcomes in science education: Perspectives from the German project ESNaS. In S. Bernholt, K. Neumann, & P. Nentwig (Eds.), Making it tangible. Learning outcomes in science education (pp. 201–218). Münster: Waxmann.
  • Kunter, M., Baumert, J., Blum, W., Klusmann, U., Krauss, S., & Neubrand, M. (Eds.). (2013a). Cognitive activation in the mathematics classroom and professional competence of teachers: Results from the COACTIV project. New York, NY: Springer.
  • Kunter, M., Klusmann, U., Baumert, J., Richter, D., Voss, T., & Hachfeld, A. (2013b). Professional competence of teachers: Effects on instructional quality and student development. Journal of Educational Psychology, 105(3), 805–820. doi:10.1037/a0032583
  • Kunter, M., Klusmann, U., Dubberke, T., Baumert, J., Blum, W., Brunner, M., … Tsau, Y.-M. (2007). Linking aspects of teacher competence to their instruction: Results from the COACTIV project. In M. Prenzel (Ed.), Studies on the educational quality of schools. The final report on the DFG priority programme (pp. 39–59). Münster: Waxmann.
  • Landis, J. R., & Koch, G. G. (1977). The measurement of observer agreement for categorical data. Biometrics, 33(1), 159–174. doi: 10.2307/2529310
  • Lee, E., & Luft, J. A. (2008). Experienced secondary science teachers’ representation of pedagogical content knowledge. International Journal of Science Education, 30(10), 1343–1363. doi:10.1080/09500690802187058
  • Lenske, G., Thillmann, H., Wirth, J., Dicke, T., & Leutner, D. (2015). Pädagogisch-psychologisches Professionswissen von Lehrkräften: Evaluation des ProwiN-Tests [Pedagogical knowledge of teachers: Evaluation of the ProwiN test]. Zeitschrift für Erziehungswissenschaft, 18(1), 225–245. doi:10.1007/s11618-015-0627-5
  • Linacre, J. M. (2015). A user's guide to Winsteps/Ministep: Rasch-model computer programs. Retrieved from http://www.winsteps.com/manuals.htm [01.12.2015]
  • Lipowsky, F. (2009). Unterricht [ Instruction]. In E. Wild & J. Möller (Eds.), Pädagogische Psychologie [ Educational psychology] (pp. 73–101). Berlin: Springer.
  • 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. doi:10.1016/j.learninstruc.2008.11.001
  • Loyens, S. M. M., & Gijbels, D. (2008). Understanding the effects of constructivist learning environments: Introducing a multi-directional approach. Instructional Science, 36(5–6), 351–357. doi:10.1007/s11251-008-9059-4
  • MacKinnon, D. P. (2008). Introduction to statistical mediation analysis. New York, NY: Lawrence Erlbaum Associates.
  • Mayer, R. E. (2004). Should there be a three-strikes rule against pure discovery learning? The case for guided methods of instruction. American Psychologist, 59(1), 14–19. doi:10.1037/0003-066X.59.1.14
  • Mayer, R. E. (2009). Constructivism as a theory of learning versus constructivism as a prescription for instruction. In S. Tobias & T. M. Duffy (Eds.), Constructivist instruction. Success or failure? (pp. 184–200). New York, NY: Routledge.
  • Muthén, L. K., & Muthén, B. O. (2012). Mplus user’s guide: Seventh edition. Los Angeles, CA: Muthén & Muthén.
  • Nachreiner, K., Spangler, M., & Neuhaus, B. J. (2015). Begründung eines an Basiskonzepten orientierten Unterrichts [ Teaching based on biological core ideas. A theoretical foundation]. Der mathematische und naturwissenschaftliche Unterricht, 68(3), 172–177.
  • National Research Council [NRC] (2012). A framework for K–12 science education: Practices, crosscutting concepts, and core ideas. Washington, DC: The National Academies Press. Retrieved from www.nap.edu/catalog.php?record_id=13165# [16.12.2015]
  • Neuhaus, B. J. (2007). Unterrichtsqualität als Forschungsfeld für empirische biologiedidaktische Studien [ Instructional quality as a research field for empirical studies in biology education]. In D. Krüger & H. Vogt (Eds.), Theorien in der biologiedidaktischen Forschung [ Theories in biology educational research] (pp. 143–154). Berlin: Springer.
  • Neumann, K., Fischer, H. E., & Kauertz, A. (2010). From PISA to educational standards: The impact of large-scale assessments on science education in Germany. International Journal of Science and Mathematics Education, 8(3), 545–563. doi: 10.1007/s10763-010-9206-7
  • Neumann, K., Kauertz, A., & Fischer, H. E. (2012). Quality of instruction in science education. In B. J. Fraser, K. Tobin, & C. J. McRobbie (Eds.), Second international handbook of science education (pp. 247–258). Berlin: Springer.
  • Park, S., & Oliver, J. S. (2008). Revisiting the conceptualisation of pedagogical content knowledge (PCK): PCK as a conceptual tool to understand teachers as professionals. Research in Science Education, 38(3), 261–284. doi:10.1007/s11165-007-9049-6
  • Praetorius, A.-K., Lenske, G., & Helmke, A. (2012). Observer ratings of instructional quality: Do they fulfill what they promise? Learning and Instruction, 22(6), 387–400. doi:10.1016/j.learninstruc.2012.03.002
  • Preacher, K. J., & Hayes, A. F. (2008). Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models. Behavior Research Methods, 40(3), 879–891. doi:10.3758/BRM.40.3.879
  • Praetorius, A.-K., Pauli, C., Reusser, K., Rakoczy, K., & Klieme, E. (2014). One lesson is all you need?: Stability of instructional quality across lessons. Learning and Instruction, 31, 2–12. doi:10.1016/j.learninstruc.2013.12.002
  • Reusser, K. (2009). Unterricht [ Instruction]. In S. Andresen, R. Casale, T. Gabriel, R. Horlacher, S. Larcher Klee, & J. Oelkers (Eds.), Handwörterbuch Erziehungswissenschaft [ Dictionary educational science] (pp. 881–896). Weinheim: Beltz.
  • Riese, J. & Reinhold, P. (2010). Empirische Erkenntnisse zur Struktur professioneller Handlungskompetenz von angehenden Physiklehrkräften. [ Empirical findings regarding the structure of future physics teachers’ competence regarding professional action] Zeitschrift für Didaktik der Naturwissenschaften, 16, 167–187.
  • Schmelzing, S., van Driel, J. H., Jüttner, M., Brandenbusch, S., Sandmann, A., & Neuhaus, B. J. (2013). Development, evaluation, and validation of a paper-and-pencil test for measuring two components of biology teachers’ pedagogical content knowledge concerning the ‘cardiovascular system’. International Journal of Science and Mathematics Education, 11(6), 1369–1390. doi:10.1007/s10763-012-9384-6
  • Schmidt-Atzert, L. (2006). Leistungsrelevante Rahmenbedingungen/Leistungsmotivation [ Achievement-related framework conditions/achievement motivation]. In K. Schweizer (Ed.), Leistung und Leistungsdiagnostik [ Achievement and achievement diagnostics] (pp. 224–241). Berlin: Springer.
  • Sczudlek, M., Kirschner, S., Lenske, G., Tepner, O., Borowski, A., Fischer, H., … Neuhaus, B. J. (2016). Secondary science teachers’ PCK, CK and PK: Their interplay, Manuscript in preparation.
  • Seidel, T., & Shavelson, R. J. (2007). Teaching effectiveness research in the past decade: The role of theory and research design in disentangling meta-analysis results. Review of Educational Research, 77(4), 454–499. doi:10.3102/0034654307310317
  • Shayer, M. (1999). Cognitive acceleration through science education II: Its effects and scope. International Journal of Science Education, 21(8), 883–902. doi:10.1080/095006999290345
  • Shayer, M., & Adhami, M. (2007). Fostering cognitive development through the context of mathematics: Results of the CAME project. Educational Studies in Mathematics, 64(3), 265–291. doi:10.1007/s10649-006-9037-1
  • Shuell, T. J. (2001). Learning theories and educational paradigms. In N. J. Smelser & P. B. Baltes (Eds.), International encyclopedia of the social & behavioural sciences (pp. 8613–8620). Amsterdam: Elsevier.
  • Shulman, L. S. (1986). Those who understand: Knowledge growth in teaching. Educational Researcher, 15(2), 4–14. doi: 10.3102/0013189X015002004
  • Shulman, L. S. (1987). Knowledge and teaching of the new reform. Harvard Educational Review, 57, 1–22. doi: 10.17763/haer.57.1.j463w79r56455411
  • Slavin, R. E. (1994). Quality, appropriateness, incentive, and time: A model of instructional effectiveness. International Journal of Educational Research, 21(2), 141–157. doi:10.1016/0883-0355(94)90029-9
  • Stein, M. K., & Lane, S. (1996). Instructional tasks and the development of student capacity to think and reason: An analysis of the relationship between teaching and learning in a reform mathematics project. Educational Research and Evaluation, 2(1), 50–80. doi: 10.1080/1380361960020103
  • Tepner, O., Borowski, A., Dollny, S., Fischer, H. E., Jüttner, M., Kirschner, S., … Wirth, J. (2012). Modell zur Entwicklung von Testitems zur Erfassung des Professionswissens von Lehrkräften in den Naturwissenschaften [ Model for the development of test items measuring science teachers’ professional knowledge]. Zeitschrift für Didaktik der Naturwissenschaften, 18, 7–28.
  • Vogelsang, C., & Reinhold, P. (2013). Gemessene Kompetenz und Unterrichtsqualität: Überprüfung der Validität eine Kompetenztests mit Hilfe der Unterrichtsvideografie [ Measured competence and instructional quality: validating a competence test using videos of instruction]. In U. Riegel & K. Macha (Eds.), Videobasierte Kompetenzforschung in den Fachdidaktiken [ Educational research on competencies with videos] (pp. 319–334). Münster: Waxmann.
  • Voss, T., & Kunter, M. (2013). Teachers’ general pedagogical/psychological knowledge. In M. Kunter, J. Baumert, W. Blum, U. Klusmann, S. Krauss, & M. Neubrand (Eds.), Cognitive activation in the mathematics classroom and professional competence of teachers: Results from the COACTIV project (pp. 207–228). New York, NY: Springer.
  • Wadouh, J., Liu, N., Sandmann, A., & Neuhaus, B. J. (2014). The effect of knowledge linking levels in biology lessons upon students’ knowledge structure. International Journal of Science and Mathematics Education, 12(1), 25–47. doi:10.1007/s10763-012-9390-8
  • Waldis, M., Grob, U., Pauli, C., & Reusser, K. (2010). Der Einfluss der Unterrichtsgestaltung auf Fachinteresse und Mathematikleistung [ The influence of instruction on interest and mathematics achievement]. In K. Reusser, C. Pauli, & M. Waldis (Eds.), Unterrichtsgestaltung und Unterrichtsqualität. Ergebnisse einer internationalen und schweizerischen Videostudie zum Mathematikunterricht [ Instruction and instructional quality: Results of an international and Swiss video study in mathematics] (pp. 209–251). Münster: Waxmann.
  • Werner, S. (2016). Zusammenhänge zwischen dem fachspezifischen Professionswissen einer Lehrkraft, dessen Unterrichtsgestaltung und Schülervariablen am Beispiel eines elaborierten Modelleinsatzes [Teachers' domain-specific professional knowledge, instructional quality using the example of elaborated model use, and students' variables] (Dissertation). Ludwig-Maximilians-Universität, München.
  • Werner, S., Förtsch, C., von Kotzebue, L., & Neuhaus, B. J. (2016). Modeling-based biology teaching to foster students’ content knowledge. Manuscript submitted for publication.
  • Widodo, A., & Duit, R. (2004). Konstruktivistische Sichtweisen vom Lehren und Lernen und die Praxis des Physikunterrichts [ Constructivist perspectives on teaching and learning and the practice of instruction]. Zeitschrift für Didaktik der Naturwissenschaften, 10, 233–255.
  • Wild, E., Gerber, J., Exeler, J., & Remy, K. (2001). Dokumentation der Skalen- und Item-Auswahl für den Kinderfragebogen zur Lernmotivation und zum emotionalen Erleben [ Documentation of the scales and items of the questionnaire on motivation and emotional experience]. Germany: Universität Bielefeld.
  • Wirtz, M., & Caspar, F. (2002). Beurteilerübereinstimmung und Beurteilerreliabilität [Interrateragreement and interraterreliability]. Göttingen: Hogrefe.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.