Influence of using challenging tasks in biology classrooms on students’ cognitive knowledge structure: an empirical video study

References

• Alexander, P. A., Kulikowich, J. M., & Schulze, S. K. (1994). How subject-matter knowledge affects recall and interest. American Educational Research Journal, 31(2), 313–337. doi: 10.3102/00028312031002313
   Web of Science ®Google Scholar
• Anderson, L. W., Krathwohl, D. R., & Bloom, B. S. (Eds.). (2001). A taxonomy for learning, teaching, and assessing: A revision of Bloom’s taxonomy of educational objectives. New York: Longmann.
   Google Scholar
• Ausubel, D. P. (1963). The psychology of meaningful verbal learning. New York, NY: Grune.
   Google Scholar
• Ausubel, D. P. (1968). Educational psychology: A cognitive view. New York, NY: Holt, Rinehart & Winston.
   Google Scholar
• Blömeke, S., Risse, J., Müller, C., Eichler, D., & Schulz, W. (2006). Analyse der Qualität von Aufgaben aus didaktischer und fachlicher Sicht. Ein allgemeines Modell und seine exemplarische Umsetzung im Unterrichtsfach Mathematik [Analysis of the quality of tasks from a didactic and technical point of view. A general model and its exemplary implementation in teaching mathematics]. Unterrichtswissenschaft, 34(4), 330–357.
   Google Scholar
• Bloom, B. S. (Ed.). (1972). Taxonomy of education objectives book 1-cognitive domain. New York: David McKay.
   Google Scholar
• Blooms Taxonomy. (n.d.). Retrieved March 28, 2015, from http://www.nyiteez.org/EDIT652/bloom.htm
   Google Scholar
• Blumenfeld, P. C., & Meece, J. L. (1988). Task factors, teacher behavior, and students' involvement and use of learning strategies in science. The Elementary School Journal, 88(3), 235–250. doi: 10.1086/461536
   Web of Science ®Google Scholar
• Bring, J. (1994). How to standardize regression coefficients. The American Statistician, 48(3), 209–213.
   Web of Science ®Google Scholar
• Brown, H. D. (1994). Teaching by principles (pp. 152–157). Englewood Cliffs, NJ: Prentice Hall.
   Google Scholar
• Bush, T. (2012). Authenticity in research: Reliability, validity and triangulation. In A. R. Briggs, M. Morrison, & M. Coleman (Eds.), Research methods in educational leadership and management (3rd ed.). London: Sage.
   Google Scholar
• Chi, M. T. H. (2009). Active-constructive-interactive: A conceptual framework for differentiating learning activities. Topics in Cognitive Science, 1, 73–105. doi: 10.1111/j.1756-8765.2008.01005.x
   PubMed Web of Science ®Google Scholar
• Cortina, J. M. (1993). What is coefficient alpha? Examination of theory and applications. Journal of Applied Psychology, 78(1), 98–104. doi: 10.1037/0021-9010.78.1.98
   Web of Science ®Google Scholar
• 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
   Google Scholar
• Deci, E. L., & Ryan, R. M. (1985). The general causality orientations scale: Self-determination in personality. Journal of Research in Personality, 19(2), 109–134. doi: 10.1016/0092-6566(85)90023-6
   Web of Science ®Google Scholar
• Doyle, W. (1979). Classroom tasks and students' abilities. In P. L. Peterson & H. J. Walberg (Eds.), Research on teaching: Concepts, findings, and implications (pp. 183–209).  Berkeley, CA: McCutcheon.
   Google Scholar
• Doyle, W. (1983). Academic work. Review of educational research, 53(2), 159–199. doi: 10.3102/00346543053002159
   Web of Science ®Google Scholar
• Duschl, R. A., Schweingruber, H. A., & Shouse, A. W. (2007). Taking science to school: Learning and teaching science in grades K-8. Washington, DC: National Academies Press.
   Google Scholar
• Ergönenc, J., Neumann, K., & Fischer, H. E. (2014). The impact of pedagogical content knowledge on cognitive activation and student learning. In H. E. Fischer, P. Labudde, K. Neumann, & J. Viiri (Hrsg.), Quality of instruction in physics – Results from a trinational video study (pp. 145–160). Münster: Waxmann.
   Google Scholar
• Field, A. P. (2009). Discovering statistics using SPSS: and sex and drugs and rock ‘n' roll (3rd ed.). London: Sage publications.
   Google Scholar
• Förtsch, C., Werner, S., Dorfner, T., von Kotzebue, L., & Neuhaus, B. J. (2016a). Effects of cognitive activation in biology lessons on students’ situational interest and achievement. Research in Science Education, 1–20. doi:10.1007/s11165-016-9517-y
   Google Scholar
• Förtsch, C., Werner, S., von Kotzebue, L., & Neuhaus, B. J. (2016b). Effects of high-complexity and high-cognitive-level instructional tasks in biology lessons on students’ Acquirement of Factual and Structural Knowledge. Manuscript submitted for publication.
   Google Scholar
• Friege, G., & Lind, G. (2000). Begriffsnetze und expertise. In H. Fischler & J. Peuckert (Eds.), Concept mapping in fachdidaktischen Forschungsprojekten der Physik und Chemie [Concept mapping in research projects on physics and chemistry didactics] (Vol. 1, pp. 147–178). Berlin: Logos Verlag.
   Google Scholar
• Garner, R., & Gillingham, M. G. (1991). Topic knowledge, cognitive interest, and text recall: A microanalysis. Journal of Experimental Education, 59, 310–319. doi: 10.1080/00220973.1991.10806569
   Web of Science ®Google Scholar
• Gerstenmaier, J., & Mandl, H. (1995). Wissenserwerb unter konstruktivistischer Perspektive [Knowledge acquisition from a constructivist perspective]. Zeitschrift für Pädagogik, 41(6), 867–888.
   Google Scholar
• Glaser, R. (1991). Expertise and assessment. In M. C. Wittrock & E. L. Baker (Eds.), Testing and cognition. Englewood Cliffs, NJ: Prentice-Hall.
   Google Scholar
• Gredler, M. E., Broussard, S. C., & Garrison, M. E. B. (2004). The relationship between classroom motivation and academic achievement in elementary school aged children. Family and Consumer Sciences Research Journal, 33(2), 106–120. doi: 10.1177/1077727X04269573
   Google Scholar
• Guay, F., Chanal, J., Ratelle, C. F., Marsh, H. W., Larose, S., & Boivin, M. (2010). Intrinsic, identified, and controlled types of motivation for school subjects in young elementary school children. British Journal of Educational Psychology, 80(4), 711–735. doi: 10.1348/000709910X499084
   PubMed Web of Science ®Google Scholar
• Heck, R. H., Thomas, S. L., & Tabata, L. N. (2013). Multilevel and longitudinal modeling with IBM SPSS. New York: Routledge.
   Google Scholar
• Hiebert, J., Gallimore, R., Garnier, H., Givvin, K. B., Hollingsworth, H., Jacobs, J., … Stigler, J. (2003). Teaching mathematics in seven countries: Results from the TIMSS 1999 video study. Education Statistics Quarterly, 5(1), 7–15.
   Google Scholar
• 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
   Web of Science ®Google Scholar
• Jacobs, J., Garnier, H., Gallimore, R., Hollingsworth, H., Givvin, K. B., Rust, K., … Stigler, J. (2003). Third international mathematics and science study 1999 video study technical report: Volume 1 – Mathematics. Technical Report. NCES 2003-012. National Center for Education Statistics.
   Google Scholar
• Jacobs, J. K., Hiebert, J., Givvin, K. B., Hollingsworth, H., Garnier, H., & Wearne, D. (2006). Does eighth-grade mathematics teaching in the United States align with the NCTM Standards? Results from the TIMSS 1995 and 1999 video studies. Journal for Research in Mathematics Education, 37 (1), 5–32.
   Web of Science ®Google Scholar
• Jatzwauk, P. (2007). Aufgaben im Biologieunterricht: eine Analyse der Merkmale und des didaktisch-methodischen Einsatzes von Aufgaben im Biologieunterricht [Tasks in biology lessons: An analysis of characteristics and the use of didactic methodological tasks in biology lessons]. Berlin: Logos-Verlag.
   Google Scholar
• Jatzwauk, P., Rumann, S., & Sandmann, A. (2008). Der Einfluss des Aufgabeneinsatzes im Biologieunterricht auf die Lernleistung der Schüler–Ergebnisse einer Videostudie [The effect of usage of tasks in biology education on learning performance – A video study]. Zeitschrift für Didaktik der Naturwissenschaften, 14, 263–283.
   Google Scholar
• Kinchin, I. M. (2011). Visualising knowledge structures in biology: Discipline, curriculumand student understanding. Journal of Biological Education, 45(4), 183–189. doi: 10.1080/00219266.2011.598178
   Web of Science ®Google Scholar
• Kinchin, I. M., & Hay, D. B. (2000). How a qualitative approach to concept map analysis can be used to aid learning by illustrating patterns of conceptual development. Educational Research, 42(1), 43–57. doi: 10.1080/001318800363908
   Web of Science ®Google Scholar
• Klieme, E., & Bos, W. (2000). Mathematikleistung und mathematischer Unterricht in Deutschland und Japan [Mathematics performance and mathematics teaching in Germany and Japan]. Zeitschrift für Erziehungswissenschaft, 3(3), 359–379. doi: 10.1007/s11618-000-0038-z
   Google Scholar
• Krapp, A. (2002). An educational-psychological theory of interest and its relation to SDT. In E. L. Deci, & R. M. Ryan (Eds.), The handbook of self-determination research (pp. 405–427). Rochester, NY: Rochester University.
   Google Scholar
• Krathwohl, D. R. (2002). A revision of Bloom’s taxonomy: An overview. Theory into Practice, 41(4), 212–218. doi: 10.1207/s15430421tip4104_2
   Web of Science ®Google Scholar
• Kunter, M., Baumert, J., Blum, W., Klusmann, U., Krauss, S., & Neubrand, M. (2013). Cognitive activation in the mathematics classroom and professional competence of teachers: Results from the COACTIV project (Vol. 8). New York: Springer Science & Business Media.
   Google Scholar
• Landis, J. R., & Koch, G. G. (1977). The measurement of observer agreement for categorical data. Biometrics, 33, 159–174. doi: 10.2307/2529310
   PubMed Web of Science ®Google Scholar
• 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
   Web of Science ®Google Scholar
• Mathison, S. (1988). Why triangulate? Educational Researcher, 17(2), 13–17. doi: 10.3102/0013189X017002013
   Google Scholar
• Mayer, R. E. (1998). Cognitive theory for education: What teachers need to know. In N. Lambert & B. L. McCombs (Eds.), How students learn: History, mathematics, and science in the classroom (pp. 351–377). Washington, DC: American Psychological Association.
   Google Scholar
• 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: Routledge.
   Google Scholar
• Neumann, K., Fischer, H. E., & Sumfleth, E. (2008). Vertikale Vernetzung und kumulatives Lernen im Chemie-und Physikunterricht [Vertical linking and cumulative learning in chemistry and physics teaching]. In E.-M. Lankes (Ed.), Pädagogische Professionalität als Gegenstand empirischer Forschung (pp. 141–151). Munster: Waxmann.
   Google Scholar
• Osborne, R. J., & Wittrock, M. C. (1985). The generative learning model and its implications for science education. Studies in Science Education, 12, 59–87. doi: 10.1080/03057268508559923
   Google Scholar
• Pauli, C., Drollinger-Vetter, B., Hugener, I., & Lipowsky, F. (2008). Kognitive Aktivierung im Mathematikunterricht [Cognitive activation in mathematics teaching]. Zeitschrift für Pädagogische Psychologie, 22(2), 127–133. doi: 10.1024/1010-0652.22.2.127
   Web of Science ®Google Scholar
• 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
   Web of Science ®Google Scholar
• Prenzel, M. (1988). Die Wirkungsweise von Interesse. Ein Erklärungsversuch aus pädagogischer Sicht [Functioning of interest. An explanation from pedagogical perspective]. Opladen: Westdeutscher Verlag.
   Google Scholar
• Rakoczy, K., Klieme, E., Drollinger-Vetter, B., Lipowsky, F., Pauli, C., & Reusser, K. (2007). Structure as quality feature in mathematics instruction of the learning environment vs a structured presention of learning content. In M. Prenzel (Ed.), Studies on the educational quality of schools. The final report on the DFG priority programme (pp. 101–120). Münster: Waxmann.
   Google Scholar
• Resnick, L. B. (1989). Knowing, learning, and instruction: Essays in honor of Robert Glaser. Hillsdale, NJ: Lawrence Erlbaum.
   Google Scholar
• Rimmele, R. (2002). Videograph. Multimedia-Player zur Kodierung von Videos [Video-graph. Multimedia-Player for coding videos]. Kiel: IPN.
   Google Scholar
• Rixius, J. (2016). Das Klassengespräch im Biologieunterricht [Teacher-student talk in biology lessons] (Dissertation Manuscript in preparation). Munich: Ludwig-Maximilians-Universität München.
   Google Scholar
• Roth, K. J., Druker, S. L., Garnier, H. E., Lemmens, M., Chen, C., Kawanaka, T., … & Stigler, J. (2006). Teaching science in five countries: Results from the TIMSS 1999 video study (Statistical Analysis Report. NCES 2006-011. National Center for Education Statistics).
   Google Scholar
• Ruiz-Primo, M. A., & Shavelson, R. J. (2005). Problems and issues in the use of concept map in science assessment. Journal of Research in Science Teaching, 33(6), 569–600. doi: 10.1002/(SICI)1098-2736(199608)33:6<569::AID-TEA1>3.0.CO;2-M
   Web of Science ®Google Scholar
• Schiefele, H., Krapp, A., Prenzel, M., Heiland, A., & Kasten, H. (1983, July). Principles of an educational theory of interest. 7th Meeting of the International Society for the Study of Behavioral Development in Munich.
   Google Scholar
• Schiefele, U., & Schreyer, I. (1994). Intrinsische Lernmotivation und Lernen. Ein Überblick zu Ergebnissen der Forschung [Intrinsic motivation and learning. An overview of results from research]. Zeitschrift für Pädagogische Psychologie, 8(1), 1–13.
   Google Scholar
• Schiefele, U., Krapp, A., & Winteler, A. (1992). Interest as a predictor of academic achievement: A metaanalysis of research. In: K. A. Renninger, S. Hidi, & A. Krapp (Eds.), The role of interest in learning and development (pp. 183–212). Hillsdale, NJ: Erlbaum.
   Google Scholar
• Schönborn, K., & Bögeholz, S. (2009). Knowledge transfer in biology and translation across external representations: Experts’ views and challenges for learning. International Journal of Science and Mathematics Education, 7(5), 931–955. doi: 10.1007/s10763-009-9153-3
   Web of Science ®Google Scholar
• Seidel, T., Prenzel, M., Rimmele, R., Herweg, C., Kobarg, M., Schwindt, K., & Dalehefte, M. (2007). Science teaching and learning in German physics classrooms. Findings from the IPN video study. In M. Prenzel (Ed.), Studies on the educational quality of schools. The final report on the DFG priority programme (pp. 79–99). Münster: Waxmann.
   Google Scholar
• 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
   Google Scholar
• Stoddart, T., Abrams, R., Gasper, E., & Canaday, D. (2000). Concept maps as assessment in science inquiry learning-a report of methodology. International Journal of Science Education, 22(12), 1221–1246. doi: 10.1080/095006900750036235
   Web of Science ®Google Scholar
• Wadouh, J. (2008). Vernetzung und kumulatives Lernen im Biologieunterricht der Gymnasialklasse 9 [Interconnectedness and cumulative learning in biology teaching of grade 9]. Dissertation University of Duisburg-Essen.
   Google Scholar
• 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
   Web of Science ®Google Scholar
• Wild, E., Hofer, M., & Pekrun, R. (2001). Psychologie des Lerners. In A. Krapp & B. Weidemann (Eds.), Pädagogische Psychologie [Pedagogical Psychology] (pp. 218–241). Weinheim: Beltz Psychologie Verlag Union.
   Google Scholar
• Wirtz, M. A., & Caspar, F. (2002). Beurteilerübereinstimmung und beurteilerreliabilität [Inter-rater reliability and Inter-rater agreement]. Göttingen: Hogrefe.
   Google Scholar
• Wüsten, S. (2010). Allgemeine und fachspezifische Merkmale der Unterrichtsqualität im Fach Biologie: Eine Video-und Interventionsstudie [General and domain-specific charactercs of instructional quality in biology: A video and intervention-study]. Berlin: Logos Verlag Berlin GmbH.
   Google Scholar
• Yin, Y., Vanides, J., Ruiz-Primo, M. A., Ayala, C. C., & Shavelson, R. J. (2005). Comparison of two concept-mapping techniques: Implications for scoring, interpretation, and use. Journal of Research in Science Teaching, 42(2), 166–184. doi: 10.1002/tea.20049
   Web of Science ®Google Scholar
• Zele, E. V., & Lenaerts, J. (2004). Improving the usefulness of concept maps as a research tool for science education. International Journal of Science Education, 26(9), 1043–1064. doi: 10.1080/1468181032000158336
   Web of Science ®Google Scholar