Abstract
Starting from difficulties that students display when they deal with correlation analysis, an e-learning environment (‘Koralle’) was developed. The design was inspired by principles of situated and example-based learning. In order to facilitate reflective processes and thus enhance learning outcomes, reflection prompts were integrated into the learning environment. A total of 57 university students were randomly assigned to two experimental conditions: 28 students were prompted to give reasons for their decisions while working within the learning environment (EG 1); and 29 students dealt with Koralle without being prompted (EG 2). The control group consisted of 67 students who had already attended regular statistics lectures but had no access to the e-learning environment. EG 1 scored significantly higher in the posttest than EG 2, and the effect was practically relevant and sustainable. Reflection prompts did not influence time on task, task choices and motivational outcomes. Both experimental groups clearly outperformed the control group.
Similar content being viewed by others
Notes
Effect sizes were classified according to the conventions specified by Cohen (1988): η² ≤ 0.05: small effect; 0.06 ≤ η² ≤ 0.13: medium effect; η² ≥ 0.14: large effect.
Adjusted degrees of freedom because of heterogeneous variance. For all comparisons between experimental and control group, p values were also calculated using a non-parametric test (Mann–Whitney U) because of differences in sample sizes. The U-test results did not differ from the results of the t-tests.
References
Alexander, P. A. (1996). The past, present, and future of knowledge research: A re-examination of the role of knowledge in learning and instruction. Educational Psychologist, 3, 89–92.
Allwood, C. M. (1990). On the relation between justification of solution method and correctness of solution in statistical problem solving. Scandinavian Journal of Psychology, 31, 181–190.
Atkinson, R. K., Derry, S. J., Renkl, A., & Wortham, D. W. (2000). Learning from examples: Instructional principles from the worked examples research. Review of Educational Research, 70, 181–214.
Atkinson, R. K., Renkl, A., & Merrill, M. M. (2003). Transitioning from studying examples to solving problems: Combining fading with prompting fosters learning. Journal of Educational Psychology, 95, 774–783.
Azevedo, R. (2005). Using hypermedia as a metacognitive tool for enhancing student learning? The role of self-regulated learning. Educational Psychologist (Special Issue on Computers as Metacognitive Tools for Enhancing Student Learning), 40, 199–209.
Bannert, M. (2003). Effekte metakognitiver Lernhilfen auf den Wissenserwerb in vernetzten Lernumgebungen [Effects of metacognitive learning aids on knowledge acquisition in networked learning environments]. Zeitschrift für Pädagogische Psychologie, 17, 13–25.
Berthold, K., Nückles, M., & Renkl, A. (2007). Do learning protocols support learning strategies and outcomes? The role of cognitive and metacognitive prompts. Learning and Instruction, 17, 564–577.
Broers, N. J. (2002). Selection and use of propositional knowledge in statistical problem solving. Learning and Instruction, 12, 323–344.
Brown, A., & DeLoache, J. S. (1978). Skills, plans and self-regulation. In R. Siegler (Ed.), Children’s thinking: What develops? (pp. 3–35). Hillsdale, NJ: Lawrence Erlbaum.
Castro Sotos, A. E., Vanhoof, S., Van den Noortgate, W., & Onghena, P. (2007). Students’ misconceptions of statistical inference: A review of the empirical evidence from research on statistics education. Educational Research Review, 2, 98–113.
Chi, M. T. H. (1996). Constructing self-explanations and scaffolded explanations in tutoring. Applied Cognitive Psychology, 10, S33–S49.
Chi, M. T. H., Bassok, M., Lewis, M., Reimann, P., & Glaser, R. (1989). Self-explanations: How students study and use examples in learning to solve problems. Cognitive Science, 13, 145–182.
Chi, M. T. H., DeLeeuw, N., Chiu, M. H., & LaVancher, C. (1994). Eliciting self-explanations improves understanding. Cognitive Science, 18, 439–477.
Cognition and Technology Group at Vanderbilt. (1997). The Jasper project: Lessons in curriculum, instruction, assessment and professional development. Mahwah, NJ: Erlbaum.
Cohen, J. (1988). Statistical power analysis for the behavioral sciences. Hillsdale, NJ: Erlbaum.
Cohen, J. (1994). The earth is round (p < .05). American Psychologist, 49, 997–1003.
Collins, A., Brown, J. S., & Newman, S. E. (1989). Cognitive apprenticeship: Teaching the crafts of reading, writing and mathematics. In L. B. Resnick (Ed.), Knowing, learning, and instruction (pp. 453–494). Hillsdale, NJ: Erlbaum.
De Jong, T., & Ferguson-Hessler, M. G. M. (1996). Types and qualities of knowledge. Educational Psychologist, 31, 105–113.
Deci, E. L., & Ryan, R. M. (2000). The “what” and “why” of goal pursuits: Human needs and the self-determination of behavior. Psychological Inquiry, 11, 227–268.
Dillon, A., & Gabbard, R. (1998). Hypermedia as an educational technology: A review of the quantitative research literature on learner comprehension, control, and style. Review of Educational Research, 68, 322–349.
Dochy, F. J. R. C. (1992). Assessment of prior knowledge as a determinant for future learning. The use of prior knowledge state tests and knowledge profiles. Utrecht, The Netherlands: Uitgeverij Lemma B. V.
Ericsson, K. A., & Simon, H. (1993). Protocol analysis: Verbal reports as data. Cambridge, MA: MIT Press.
Flavell, J. (1976). Metacognitive aspects of problem solving. In L. B. Resnick (Ed.), The nature of intelligence (pp. 231–235). Hillsdale, NJ: Lawrence Erlbaum.
Flavell, J. (1979). Metacognition and cognitive monitoring: A new area of cognitive developmental inquiry. American Psychologist, 34, 906–911.
Gerjets, P., Scheiter, K., & Catrambone, R. (2004). Designing instructional examples to reduce intrinsic cognitive load: Molar versus modular presentation of solution procedures. Instructional Science, 32, 33–58.
Gerjets, P., Scheiter, K., & Schuh, J. (2005). Instruktionale Unterstützung beim Fertigkeitserwerb aus Beispielen in hypertextbasierten Lernumgebungen [Instructional support for skill acquisition from examples in hypermedia-based learning environments]. Zeitschrift für Pädagogische Psychologie, 19(1/2), 23–38.
Große, C. S., & Renkl, A. (2006). Effects of multiple solution methods in mathematics learning. Learning and Instruction, 16, 122–138.
Hasselhorn, M. (2006). Metakognition [Metacognition]. In D. H. Rost (Ed.), Handwörterbuch Pädagogische Psychologie [Handbook of educational psychology] (pp. 480–485). Weinheim, Germany: Psychologie Verlags Union.
Hasselhorn, M., & Hager, W. (1998). Kognitive Trainings auf dem Prüfstand: Welche Komponenten charakterisieren erfolgreiche Fördermaßnahmen? [Cognitive trainings put to test: What components characterise successful facilitation methods?]. In M. Beck (Ed.), Evaluation als Maßnahme der Qualitätssicherung: Pädagogisch-psychologische Interventionen auf dem Prüfstand [Evaluation as a means of quality management: Pedagogical-psychological interventions put to test] (pp. 85–98). Tübingen, Germany: DGVT-Verlag.
Hidi, S. (1990). Interest and its contribution as a mental resource for learning. Review of Educational Research, 60(4), 549–571.
Kintsch, W. (1994). Text comprehension, memory, and learning. American Psychologist, 49, 294–303.
Kopp, V., Stark, R., & Fischer, M. R. (2007). Förderung von Diagnosekompetenz in der medizinischen Ausbildung durch Implementation eines Ansatzes zum fallbasierten Lernen aus Lösungsbeispielen [Enhancing diagnostic skills in medical training by case-based learning from worked examples]. GMS Zeitschrift für Medizinische Ausbildung, 24(2): Doc 107.
Krapp, A. (2000). Individuelle Interessen als Bedingung lebenslangen Lernens [Individual interests as a condition for life-long learning]. In F. Achtenhagen & W. Lempert (Eds.), Lebenslanges Lernen im Beruf—seine Grundlegung im Kindes-und Jugendalter, Band 3: Psychologische Theorie, Empirie und Therapie [Professional lifelong learning—its foundation in childhood and adolescence, Volume 3: Psychological theory, empiricism and therapy] (pp. 54–75). Opladen, Germany: Leske + Budrich.
Krapp, A. (2005). Basic needs and the development of interest and intrinsic motivational orientations. Learning and Instruction, 15, 381–395.
Krause, U.-M. (2007). Feedback und kooperatives Lernen [Feedback and cooperative learning]. Münster, Germany: Waxmann.
Krause, U.-M., & Stark, R. (2006). Vorwissen aktivieren [Activating prior knowledge]. In H. Mandl & H. F. Friedrich (Eds.), Handbuch Lernstrategien [Handbook of learning strategies] (pp. 38–49). Göttingen, Germany: Hogrefe.
Krause, U.-M., & Stark, R. (2007, August). Problem-oriented learning and reflection prompts in teacher education: Enhancing knowledge about cooperative learning. Paper presented at the 12th Biennial Conference of the European Association for Research on Learning and Instruction (EARLI), Budapest, Hungary.
Krause, U.-M., Stark, R., & Mandl, H. (2009). The effects of cooperative learning and feedback on e-learning in statistics. Learning and Instruction, 19, 158–170.
Lan, W. Y., Bradley, L., & Parr, G. (1993). The effects of a self-monitoring process on college students’ learning in an introductory statistics course. The Journal of Experimental Education, 62, 26–40.
Langer, E. J. (1993). A mindful education. Educational Psychologist, 28, 43–50.
Mandl, H., & Gräsel, C. (1997). Gestaltung konstruktivistischer Lernumgebungen in der Medizin [Designing constructivist learning environments in medical science]. In S. Höfling & H. Mandl (Eds.), Lernen für die Zukunft—Lernen in der Zukunft: Wissensmanagement in der Bildung [Learning for the future—learning in the future: Knowledge management in education] (pp. 155–165). München, Germany: Hanns-Seidel-Stiftung e.V.
Marsh, H. W., & Craven, R. G. (2006). Reciprocal effects of self-concept and performance from a multidimensional perspective. Perspectives on Psychological Science, 1, 133–163.
McClelland, D. J., Atkinson, J. W., Clark, R. H., & Lowell, E. L. (1953). The achievement motive. New York: Appleton-Century-Crofts.
Morris, E. (2001). The design and evaluation of link: A computer-based learning system for correlation. British Journal of Educational Technology, 32, 39–52.
Paas, F. G. W. C. (1992). Training strategies for attaining transfer of problem-solving skill in statistics: A cognitive-load approach. Journal of Educational Psychology, 84, 429–434.
Paris, S. G., Lipson, M. Y., & Wixon, K. K. (1983). Becoming a strategic reader. Contemporary Educational Psychology, 8, 293–316.
Pintrich, P. R., Smith, D. A. F., Garcia, T., & McKeachie, W. J. (1993). Reliability and predictive validity of the motivated strategies for learning questionnaire (MSLQ). Educational and Psychological Measurement, 53, 801–813.
Pirolli, P. L., & Anderson, J. R. (1985). The role of practice in fact retrieval. Journal of Experimental Psychology. Learning, Memory, and Cognition, 11, 136–153.
Reigeluth, C. M., & Stein, F. S. (1983). The elaboration theory of instruction. In C. M. Reigeluth (Ed.), Instructional-design theories and models: An overview of their current status (pp. 335–382). Hillsdale, NJ: Erlbaum.
Renkl, A. (1997). Learning from worked-out examples: A study on individual differences. Cognitive Science, 21, 1–29.
Renkl, A., Atkinson, R. K., & Große, C. S. (2004). How fading worked solution steps works—a cognitive load perspective. Instructional Science, 32, 59–82.
Salomon, G., & Globerson, T. (1987). Skill may not be enough: The role of mindfulness in learning transfer. International Journal of Educational Research, 11, 623–637.
Schiefele, U., Krapp, A., & Schreyer, I. (1993). Metaanalyse des Zusammenhangs von Interesse und schulischer Leistung [Meta-analysis of the correlation between interest and academic performance]. Zeitschrift für Entwicklungspsychologie und Pädagogische Psychologie, 25, 120–148.
Schneider, W., & Pressley, M. (1989). Memory development between 2 and 20. New York: Springer.
Schoenfeld, A. H. (1985). Mathematical problem solving. New York: Academic Press.
Spiro, R., Feltovich, P. J., Jacobson, M. J., & Coulson, R. L. (1991). Cognitive flexibility, constructivism, and hypertext: Random access instruction for advanced knowledge acquisition in ill-structured domains. Educational Technology, 31(5), 24–33.
Stark, R. (1999). Lernen mit Lösungsbeispielen: Einfluss unvollständiger Lösungsbeispiele auf Beispielelaboration, Lernerfolg und Motivation [Learning with worked-out examples: The impact of incomplete examples on example elaboration, learning outcomes and motivation]. Göttingen, Germany: Hogrefe.
Stark, R. (2004). Implementing example-based learning and teaching in the context of vocational school education in business administration. Learning Environments Research, 7, 143–163.
Stark, R., Gruber, H., Renkl, A., & Mandl, H. (2000). Instruktionale Effekte einer kombinierten Lernmethode: Zahlt sich die Kombination von Lösungsbeispielen und Problemlöseaufgaben aus? [Instructional effects of a combined teaching approach: Does the combination of worked-out examples and problem-solving tasks pay off?]. Zeitschrift für Pädagogische Psychologie, 14, 205–217.
Stark, R., & Mandl, H. (2000). Training in empirical research methods: Analysis of problems and intervention from a motivational perspective. In J. Heckhausen (Ed.), Motivational psychology of human development (pp. 165–183). Amsterdam, The Netherlands: Elsevier.
Stark, R., & Mandl, H. (2002). Konzeptualisierung und Evaluation einer komplexen netzbasierten Lernumgebung im Kontext der universitären Ausbildung in empirischen Forschungsmethoden [Conceptualisation and evaluation of a complex net-based learning environment in university training of empirical research methods]. Unterrichtswissenschaft, 30, 315–330.
Stark, R., & Mandl, H. (2005). Lernen mit einer netzbasierten Lernumgebung im Bereich empirischer Forschungsmethoden: Effekte zusätzlich implementierter Maßnahmen und Bedeutung von Lernvoraussetzungen [Learning within a net-based learning environment in the field of empirical research methods: Effects of additional interventions and impact of learning prerequisites]. Unterrichtswissenschaft, 33(1), 3–29.
Sweller, J. (1988). Cognitive load during problem solving: Effects on learning. Cognitive Science, 12, 257–285.
Sweller, J., Van Merriёnboer, J. J. G., & Paas, F. G. W. C. (1998). Cognitive architecture and instructional design. Educational Psychology Review, 10, 251–296.
Tyroller, M. (2005). Effekte metakognitiver Prompts beim computerbasierten Statistiklernen [Effects of metacognitive prompts in computer-based statistics learning]. Retrieved July 21, 2009, from http://edoc.ub.uni-muenchen.de/archive/00005514/01/Michael_Tyroller.pdf.
Van Merriënboer, J. J. G. (1990). Strategies for programming instruction in high school: Program completion vs. program generation. Journal of Computing Research, 6, 265–285.
Van Merriënboer, J. J. G., & de Croock, M. B. M. (1992). Strategies for computer-based programming instruction: Program completion vs. program generation. Journal of Educational Computing Research, 8, 365–394.
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.
Weinstein, C. E., Palmer, D. R., & Schulte, A. C. (1987). Learning and study strategies inventory. Clearwater, FL: H & H Publishing Company.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Stark, R., Krause, UM. Effects of reflection prompts on learning outcomes and learning behaviour in statistics education. Learning Environ Res 12, 209–223 (2009). https://doi.org/10.1007/s10984-009-9063-x
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10984-009-9063-x