The expertise reversal effect and worked examples in tutored problem solving
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Prior research has shown that tutored problem solving with intelligent software tutors is an effective instructional method, and that worked examples are an effective complement to this kind of tutored problem solving. The work on the expertise reversal effect suggests that it is desirable to tailor the fading of worked examples to individual students’ growing expertise levels. One lab and one classroom experiment were conducted to investigate whether adaptively fading worked examples in a tutored problem-solving environment can lead to higher learning gains. Both studies compared a standard Cognitive Tutor with two example-enhanced versions, in which the fading of worked examples occurred either in a fixed manner or in a manner adaptive to individual students’ understanding of the examples. Both experiments provide evidence of improved learning results from adaptive fading over fixed fading over problem solving. We discuss how to further optimize the fading procedure matching each individual student’s changing knowledge level.
- Aleven, V, Koedinger, KR (2002) An effective meta-cognitive strategy: Learning by doing and explaining with a computer-based Cognitive Tutor. Cognitive Science 26: pp. 147-179 CrossRef
- Aleven, V., McLaren, B. M., Sewall, J., & Koedinger, K. R. (in press). Example-tracing tutors: A new paradigm for intelligent tutoring systems. International Journal of Artificial Intelligence in Education.
- Anderson, JR, Corbett, AT, Koedinger, KR, Pelletier, R (1995) Cognitive tutors: Lessons learned. The Journal of the Learning Sciences 4: pp. 167-207 CrossRef
- Atkinson, RK, Renkl, A, Merrill, MM (2003) Transitioning from studying examples to solving problems: Combining fading with prompting fosters learning. Journal of Educational Psychology 95: pp. 774-783 CrossRef
- Baker, R. S. J. d., Corbett, A. T., & Aleven, V. (2008). More accurate student modeling through contextual estimation of slip and guess probabilities in Bayesian knowledge tracing. In B. Woolf, E. Aimeur, R. Nkambou, & S. Lajoie (Eds.), Proceedings of the 9th international conference on intelligent tutoring systems (pp. 406–415). Berlin: Springer Verlag.
- Cen, H., Koedinger, K. R., & Junker, B. (2007). Is over practice necessary?—improving learning efficiency with the Cognitive Tutor through educational data mining. In R. Luckin, K. R. Koedinger, & J. Greer (Eds.), Proceedings of 13th international conference on artificial intelligence in education (AIED2007) (pp. 511–518). Amsterdam: IOS Press.
- Cohen, J (1988) Statistical power analysis for the behavioral sciences. Academic Press, New York
- Corbett, AT, Anderson, JR (1995) Knowledge tracing: Modeling the acquisition of procedural knowledge. User Modeling and User-Adapted Interaction 4: pp. 253-278 CrossRef
- Kalyuga, S (2007) Expertise reversal effect and its implications for learner-entailed instruction. Educational Psychology Review 19: pp. 509-539 CrossRef
- Kalyuga, S, Sweller, J (2004) Measuring knowledge to optimize cognitive load factors during instruction. Journal of Educational Psychology 96: pp. 558-568 CrossRef
- Kalyuga, S, Sweller, J (2005) Rapid dynamic assessment of expertise to improve the efficiency of adaptive e-learning. Educational Technology Research and Development 53: pp. 83-93 CrossRef
- Koedinger, KR, Aleven, V (2007) Exploring the assistance dilemma in experiments with Cognitive Tutors. Educational Psychology Review 19: pp. 239-264 CrossRef
- Koedinger, KR, Anderson, JR, Hadley, WH, Mark, MA (1997) Intelligent tutoring goes to school in the big city. International Journal of Artificial Intelligence in Education 8: pp. 30-43
- Koedinger, K. R., Corbett, A. T., Ritter, S., & Shapiro, L. (2000). Carnegie learning’s cognitive tutor™: Summary research results. (Available from Carnegie Learning, Inc., Pittsburgh, PA): http://www.carnegielearning.com.
- McLaren, B. M., Lim, S., Yaron, D., & Koedinger, K. R. (2007). Can a polite intelligent tutoring system lead to improved learning outside of the lab? In R. Luckin, K. R. Koedinger, & J. Greer (Eds), Proceedings of the 13th international conference on artificial intelligence in education (AIED-07), Artificial Intelligence in Education: Building technology rich learning contexts that work (pp. 433–440). IOS Press.
- Renkl, A, Atkinson, RK An example order for cognitive skill acquisition. In: Ritter, FE, Nerb, J, Lehtinen, E, O’Shea, T eds. (2007) In order to learn: How the sequence of topics influences learning. Oxford University Press, New York, NY, pp. 95-105
- Renkl, A, Atkinson, RK, Große, CS (2004) How fading worked solution steps works—a cognitive load perspective. Instructional Science 32: pp. 59-82 CrossRef
- Renkl, A, Atkinson, RK, Maier, UH, Staley, R (2002) From example study to problem solving: Smooth transitions help learning. Journal of Experimental Education 70: pp. 293-315 CrossRef
- Roy, M, Chi, MTH Self-explanation in a multi-media context. In: Mayer, R eds. (2005) Cambridge handbook of multimedia learning. Cambridge Press, Cambridge, pp. 271-286
- Schwonke, R., Wittwer, J., Aleven, V., Salden, R. J. C. M., Krieg, C., & Renkl, A. (2007). Can tutored problem solving benefit from faded worked-out examples? In S. Vosniadou, D. Kayser, & A. Protopapas (Eds.), Proceedings of EuroCogSci 07. The european cognitive science conference 2007 (pp. 59–64). New York, NY: Erlbaum.
- Sweller, J, Cooper, GA (1985) The use of worked examples as a substitute for problem solving in learning algebra. Cognition and Instruction 2: pp. 59-89 CrossRef
- Lehn, K, Lynch, C, Schulze, K, Shapiro, JA, Shelby, A, Taylor, D, Weinstein, A, Wintersgill, M, Weinstein, A, Wintersgill, M (2005) The Andes physics tutoring project: Five years of evaluations. International Journal of Artificial Intelligence in Education 15: pp. 1-47
- Ward, M, Sweller, J (1990) Structuring effective worked examples. Cognition and Instruction 7: pp. 1-39 CrossRef
- The expertise reversal effect and worked examples in tutored problem solving
Volume 38, Issue 3 , pp 289-307
- Cover Date
- Print ISSN
- Online ISSN
- Springer Netherlands
- Additional Links
- Cognitive tutor
- Worked examples
- Adaptive fading
- Expertise reversal effect
- Author Affiliations
- 1. Human–Computer Interaction Institute, Carnegie Mellon University, 300 South Craig Street, Pittsburgh, PA, 15213, USA
- 2. Human–Computer Interaction Institute, Carnegie Mellon University, 5000 Forbes Ave, Pittsburgh, PA, 15213, USA
- 3. Psychological Institute Educational and Developmental Psychology, University of Freiburg, Engelbergerstr. 41, 79085, Freiburg, Germany