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Erleichterung der Anwendbarkeit von Wissen aus einem Vortraining durch eine Prozeduralisierungshilfe

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Zusammenfassung

Inkohärentes, unstrukturiertes, intuitives Vorwissen – sogenanntes Knowledge in Pieces – kann den Erwerb eines wissenschaftlichen Konzepts deutlich einschränken. Ein Vortraining, das Knowledge in Pieces reorganisiert, ist eine geeignete Maßnahme, um den anschließenden Wissenserwerb zu erleichtern. Es kann jedoch kognitiv sehr anspruchsvoll sein, die Vortrainingsinhalte in der eigentlichen Lernphase anzuwenden, da sie dafür im Arbeitsgedächtnis aufrechterhalten und interpretiert werden müssen. Wir entwickelten eine Prozeduralisierungshilfe, welche die Inhalte des Vortrainings direkt anwendbar machen und damit die kognitive Beanspruchung reduzieren sollte. Die Wirksamkeit einer solchen Prozeduralisierungshilfe wurde an 47 Lehramtsstudierenden getestet, von denen 23 Personen in der Kontrollbedingung ein vergleichbares Pre-Training ohne Prozeduralisierungshilfe erhielten.

Die Prozeduralisierungshilfe wirkte sich positiv auf die Selbstwirksamkeitsüberzeugungen und die selbsteingeschätzten Kenntnisse aus. Zusätzlich reduzierte sie die wahrgenommene mentale Anstrengung während des Lernerfolgstests. Auswirkungen auf den Lernerfolg selbst (abgesehen von der Fähigkeit, Lernstrategien zu definieren) wurden nicht gefunden. Dies könnte daran liegen, dass auch die Kontrollgruppe ein bereits sehr wirksames Vortraining erhalten hatte.

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Literatur

  • Anderson, J. R. (1993). Rules of the mind. Hillsdale, NJ: Lawrence Erlbaum Associates.

    Google Scholar 

  • Anderson, J. R. (1987). Skill Acquisition: Compilation of weak-method problem solutions. Psychological Review, 2, 192-210. https://doi.org/10.1037/0033-295x.94.2.192

    Article  Google Scholar 

  • Anderson, J. R. (1982). Acquisition of cognitive skill. Psychological Review, 4, 369-406. https://doi.org/10.1037/0033-295X.89.4.369

    Article  Google Scholar 

  • Anderson, J. R., Fincham, J. M., & Douglass, S. (1997). The role of examples and rules in theacquisition of a cognitive skill. Journal of Experimental Psychology: Learning, Memory, and Cognition, 23, 932–945.

    Google Scholar 

  • Anderson, J. R., & Lebiere, C. (1998). The atomic components of thought. Hillsdale, NJ: Erlbaum. Ashe, D., and Bibi, S. (2011, December). Unpacking TPACK and students’ approaches to learning: Applying knowledge in pieces to higher education teaching and learning. Paper presented at Ascilite Conference, Changing Demands, Changing Directions, Hobart, Australia, 2011, December.

    Google Scholar 

  • Bandura, A. (1989). Regulation of cognitive processes through perceived self-efficacy. Developmental Psychology, 25, 729–735. https://doi.org/10.1037/0012-1649.25.5.729

    Article  Google Scholar 

  • Bandura, A. (1977). Self-efficacy: toward a unifying theory of behavioral change. Psychological review, 84, 191-215. https://doi.org/10.1037/0033-295x.84.2.191

    Article  Google Scholar 

  • Bandura, A. (1986). Social foundations of thought and action: A social cognitive theory. Englewood Cliffs, NJ: Prentice Hall.

    Google Scholar 

  • Bandura, A. (1997). Self-efficacy: The exercise of control. New York, NY: W.H. Freeman and Company.

    Google Scholar 

  • Bandura, A. (2006). Guide to constructing self-efficacy scales. In F. Pajares, & T. Urdan (Eds.), Self-efficacy beliefs of adolescents (pp. 307–337). Greenwich, CT: Information Age.

    Google Scholar 

  • Bell, B. S., & Kozlowski, S. W. J. (2002). Adaptive guidance: Enhancing self-regulation, knowledge, and performance in technology-based training. Personnel Psychology, 55, 267-306. https://doi.org/10.1111/j.1744-6570.2002.tb00111.x

    Article  Google Scholar 

  • Biggs, J. B., & Collis, K. F. (1982). Evaluating the quality of learning: The SOLO taxonomy (structure of the observed learning outcome). New York: Academic Press.

    Google Scholar 

  • Bruning, R., Dempsey, M., Kauffman, D., McKim, C., & Zumbrunn, S. (2013). Examining dimensions of self-efficacy for writing. Journal of Educational Psychology, 105, 25-38.

    Article  Google Scholar 

  • Clark, R. C., Nguyen, F., & Sweller, J. (2006). Efficiency in learning. Evidence-based guidelines to manage cognitive load. San Francisco, CA: Pfeiffer.

    Article  Google Scholar 

  • Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Hillsdale, NJ: Erlbaum.

    Google Scholar 

  • diSessa, A. A. (2002). Why „conceptual ecology“ is a good idea. In M. Limon, & L. Mason (Eds.), Reconsidering conceptual change. Issues in theory and practice (pp. 29–60). Dordrecht: Kluwer Academic Publishers.

    Google Scholar 

  • diSessa, A. A. (1993). Toward an epistemology of physics. Cognition and Instruction, 10, 105–225. https://doi.org/10.1080/07370008.1985.9649008

    Article  Google Scholar 

  • Fields, A. P. (2009). Discovering statistics using SPSS (3rd ed.). London: Sage Publications.

    Google Scholar 

  • Gegenfurtner, A. (2011). Motivation and transfer in professional training: A meta-analysis of the moderating effects of knowledge type, instruction, and assessment conditions. Educational Research Review, 6, 153–168. https://doi.org/10.1016/j.edurev.2011.04.001

    Article  Google Scholar 

  • Glogger, I., Holzäpfel, L., Kappich, J., Schwonke, R., Nückles, M., & Renkl, A. (2013). Development and evaluation of a computer-based learning environment for teachers: Assessment of learning strategies in learning journals. Education Research International, 2013, 1–12. https://doi.org/10.1155/2013/785065

    Article  Google Scholar 

  • Gollwitzer, P. M., & Brandstätter, V. (1997). Implementation intentions and effective goal pursuit. Journal of Personality and Social Psychology 73, 186-199. https://doi.org/10.1037/0022-3514.73.1.186

    Article  Google Scholar 

  • Gollwitzer, P. M., & Sheeran, P. (2006). Implementation Intentions and Goal Achievement: A Meta-analysis – of Effects and Processes. In Advances in Experimental Social Psychology. Advances in Experimental Social Psychology Volume 38 (pp. 69–119). Elsevier.

    Google Scholar 

  • Gollwitzer, P. M. (1993). Goal achievement: The role of intentions. In W. Stroebe & M. Hewstone (Eds.), European review of social psychology (pp. 141–185). Chichester: Wiley.

    Article  Google Scholar 

  • Gollwitzer, P. M. (1999). Implementation intentions: Strong effects of simple plans. American Psychologist, 54, 493–503. https://doi.org/10.1037/0003-066x.54.7.493

    Article  Google Scholar 

  • Harlow, D. B., Bianchini, J. A., Swanson, L. H., & Dwyer, H. A. (2013). Potential teachers’ appropriate and inappropriate application of pedagogical resources in a model-based physics course: A „knowledge in pieces“ perspective on teacher learning. Journal of Research in Science Teaching, 50, 1098–1126. https://doi.org/10.1002/tea.21108

    Article  Google Scholar 

  • Hmelo-Silver, C. E., & Green Pfeffer, M. (2004). Comparing expert and novice understanding of a complex system from the perspective of structures, behaviors, and functions. Cognitive Science, 28, 127-138. https://doi.org/10.1207/s15516709cog2801_7

    Article  Google Scholar 

  • Ineson, E. M., Jung, T., Hains, C., & Kim, M. (2013). The influence of prior subject knowledge, prior ability and work experience on self-efficacy. Journal of Hospitality, Leisure, Sport & Tourism Education, 12, 59–69. https://doi.org/10.1016/j.jhlste.2012.11.002

    Article  Google Scholar 

  • Jonassen, D. H. (2000). Toward a design theory of problem solving. Educational Technology Research and Development, 48, 63–85. https://doi.org/10.1007/bf02300500

    Article  Google Scholar 

  • Kaup, B., Zwaan, R. A. & Lüdtke, J. (2007). The experiential view of language comprehension: How is negation represented? In F. Schmalhofer & C. A. Perfetti (Eds.), Higher level language processes in the brain: Inference and comprehension processes (pp. 255-288). Mahwah, NJ: Erlbaum.

    Google Scholar 

  • Kaup, B., Yaxley, R. H., Madden, C. J., Zwaan, R. A., & Lüdtke, J. (2007). Experiential simulations of negated test information. Quarterly Journal of Experimental Psychology, 60, 976-990. https://doi.org/10.1080/17470210600823512

    Article  Google Scholar 

  • Kester, L., Kirschner, P. A., van Merriënboer, J. J. G., (2006). Just-in-time information presentation: Improving learning a troubleshooting skill. Contemporary Educational Psychology, 31, 167-185. https://doi.org/10.1016/j.cedpsych.2005.04.002

    Article  Google Scholar 

  • Lee, B., Cawthon, S., & Dawson, K. (2013). Elementary and secondary teacher self-efficacy for teaching and pedagogical conceptual change in a drama-based professional development program. Teaching and Teacher Education, 30, 84–98. https://doi.org/10.1016/j.tate.2012.10.010

    Article  Google Scholar 

  • MacDonald, M. C., & Just, M. A. (1989). Changes in activation levels with negation. Journal of Experimental Psychology: Learning, Memory, and Cognition, 15, 633-642. https://doi.org/10.1037/0278-7393.15.4.633

    Google Scholar 

  • Magner, U. I., Schwonke, R., Aleven, V., Popescu, O., & Renkl, A. (2014). Triggering situational interest by decorative illustrations both fosters and hinders learning in computer-based learning environments. Learning and Instruction, 29, 141–152. https://doi.org/10.1016/j.learninstruc.2012.07.002

    Article  Google Scholar 

  • Moos, D. C., & Azevedo, R. (2009). Self-efficacy and prior domain knowledge: To what extent does monitoring mediate their relationship with hypermedia learning? Metacognition and Learning, 4, 197–216. https://doi.org/10.1007/s11409-009-9045-5

    Article  Google Scholar 

  • Ohst, A., Fondu, B. M. E., Glogger, I., Nückles, M., & Renkl, A. (2014). Preparing learners with partly incorrect intuitive prior knowledge for learning. Frontiers in Psychology, 5. https://doi.org/10.3389/fpsyg.2014.00664

  • Ohst, A., Glogger, I., Nückles, M., & Renkl, A. (2015). Helping preservice teachers with inaccurate and fragmentary prior knowledge to acquire conceptual understanding of psychological principles. Psychology, Learning and Teaching, 14, 5-25. https://doi.org/10.1177/1475725714564925

    Article  Google Scholar 

  • Özdemir, G., & Clark, D. B. (2007). An overview of conceptual change theories. Eurasia Journal of Mathematics, Science & Technology Education, 3, 351–361.

    Article  Google Scholar 

  • Ozdemir, O. F. (2013). Transfer and conceptual change: The change process from the theoretical perspectives of coordination classes and phenomenological primitives. Instructional Science, 41, 81–103. https://doi.org/10.1007/s11251-012-9219-4

    Article  Google Scholar 

  • Paas, F., Touvinen, J. E., Tabber, H., & van Gerven, P. W. M. (2003). Cognitive load measurement as a means to advance cognitive load theory. Educational Psychologist, 38, 63–71. https://doi.org/10.1207/s15326985ep3801_8

    Article  Google Scholar 

  • Paas, F. G. W. C., & van Merriënboer, J. J. G. (1993). The efficiency of instructional conditions: An approach to combine mental effort and performance measures. Human Factors, 35, 737–743. https://doi.org/10.1177/001872089303500412

    Article  Google Scholar 

  • Paas, F. G. W. C., & van Merriënboer, J. J. G. (1994). Variability of worked examples and transfer of geometrical problem-solving skills: A cognitive-load approach. Journal of Educational Psychology, 86, 122–133. https://doi.org/10.1037/0022-0663.86.1.122

    Article  Google Scholar 

  • Pajares, F. (1996). Self-efficacy beliefs and mathematical problem-solving of gifted students. Contemporary Educational Psychology, 21, 325–344. https://doi.org/10.1006/ceps.1996.0025

    Article  Google Scholar 

  • Paris, S. G., Newman, R. S., & McVey, K. A. (1982). Learning the functional significance of mnemonic actions: A microgenetic study of strategy acquisition. Journal of Experimental Child Psychology, 34, 490–509. https://doi.org/10.1016/0022-0965(82)90073-x

    Article  Google Scholar 

  • Pintrich, P. R., Marx, R. W., & Boyle, R. A. (1993). Beyond cold conceptual change: The role of motivational beliefs and classroom contextual factors in the process of conceptual change. Review of Educational Research, 63, 167–199. https://doi.org/10.3102/00346543063002167

    Article  Google Scholar 

  • Poole, M., Okeafor, K., & Sloan, E. (1989). Teachers’ interactions, personal efficacy, and change implementation. Paper presented at the Annual Meeting of the American Educational Research Association, San Francisco.

    Google Scholar 

  • Renkl, A. (2014). Toward an Instructionally Oriented Theory of Example-Based Learning. Cognitive Science, 38, 1-37. https://doi.org/10.1111/cogs.12086

    Article  Google Scholar 

  • Renkl, A., Gruber, H., & Mandl, H. (1996). Inert knowledge: Analyses and remedies. Educational Psychologist, 31, 115–121. https://doi.org/10.1207/s15326985ep3102_3

    Article  Google Scholar 

  • Schunk, D. H., & Pajares, F. (2002). The development of academic self-efficacy. In A. Wigfield & J. Eccles (Eds.), Development of achievement motivation (pp. 16–31). San Diego: Academic Press.

    Chapter  Google Scholar 

  • Schunk, D. H. (1996). Goal and self-evaluative influences during children’s cognitive skill learning. American Educational Research Journal, 33, 359–382. https://doi.org/10.3102/00028312033002359

    Article  Google Scholar 

  • Schunk, D. H. (1998). Teaching elementary students to self-regulate practice of mathematical skills with modeling. In D. H. Schunk & B. J. Zimmerman (Eds.), Self-regulated learning: From teaching to self-reflective practice (pp. 137–159). New York: Guilford.

    Google Scholar 

  • Sinatra, G. M. (2010). The „warming trend“ in conceptual change research: The legacy of Paul R. Pintrich. Educational Psychologist, 40, 107–115. https://doi.org/10.1207/s15326985ep4002_5

    Article  Google Scholar 

  • Sinatra, G. M., Brem, S. K., & Evans, E. M. (2008). Changing minds? Implications of conceptual change for teaching and learning about biological evolution. Evolution: Education and Outreach, 1, 189–195. https://doi.org/10.1007/s12052-008-0037-8

    Google Scholar 

  • Sitzmann, T., & Yeo, G. (2013). A meta-analytic investigation of the within-person self-efficacy domain: Is self-efficacy a product of past performance or a driver of future performance? Personnel Psychology, 66, 531–568. https://doi.org/10.1111/peps.12035

    Article  Google Scholar 

  • Smylie, M. (1988). The enhancement function of staff development: Organizational and psychological antecedents to individual teacher change. American Educational Research Journal, 25, 1–30. https://doi.org/10.3102/00028312025001001

    Article  Google Scholar 

  • Van Gog, T., & Paas, F. (2008). Instructional efficiency: Revisiting the original construct in educational research. Educational Psychologist, 43, 16-26. https://doi.org/10.1080/00461520701756248

    Article  Google Scholar 

  • Vosniadou, S. (1994). Capturing and modeling the process of conceptual change. Learning and Instruction, 4, 45-69. https://doi.org/10.1016/0959-4752(94)90018-3

    Article  Google Scholar 

  • Wäschle, K., Allgaier, A., Lachner, A., Fink, S., & Nückles, M. (2014). Procrastination and selfefficacy: Tracing vicious and virtuous circles in self-regulated learning. Learning and Instruction, 29, 103–114. https://doi.org/10.1016/j.learninstruc.2013.09.005

    Article  Google Scholar 

  • Weinstein, C. E., & Mayer, R. E. (1986). The teaching of learning strategies. In C. M. Wittrock (Ed.), Handbook of research in teaching (pp. 315–327). New York, NY, US: Macmillan Publishing Company.

    Google Scholar 

  • Williams, T., & Williams, K. (2010). Self-efficacy and performance in mathematics: Reciprocal determinism in 33 nations. Journal of Educational Psychology, 102, 453–466. https://doi.org/10.1037/a0017271

    Article  Google Scholar 

  • Yeo, G. B., & Neal, A. (2004). A multilevel analysis of effort, practice, and performance: Effects of ability, conscientiousness, and goal orientation. Journal of Applied Psychology, 89, 231-247.

    Article  Google Scholar 

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Ohst, A., Fondu, B.M.E., Nückles, M., Renkl, A. (2019). Erleichterung der Anwendbarkeit von Wissen aus einem Vortraining durch eine Prozeduralisierungshilfe. In: Leuders, T., Nückles, M., Mikelskis-Seifert, S., Philipp, K. (eds) Pädagogische Professionalität in Mathematik und Naturwissenschaften. Springer Spektrum, Wiesbaden. https://doi.org/10.1007/978-3-658-08644-2_10

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