Productive failure in learning the concept of variance
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Bielaczyc, K., & Kapur, M. (2010). Playing epistemic games in science and mathematics classrooms. Educational Technology, 50(5), 19–25.
Brown, A., & Campione, J. (1994). Guided discovery in a community of learners. In K. McGilly (Ed.), Classroom lessons: Integrating cognitive theory and classroom practice (pp. 229–270). Cambridge: MIT Press.
Carroll, W. (1994). Using worked examples as an instructional support in the algebra classroom. Journal of Educational Psychology, 86, 360–367.
Chi, M. T. H., Glaser, R., & Farr, M. J. (1988). The nature of expertise. Hillsdale: Erlbaum.
Clifford, M. M. (1984). Thoughts on a theory of constructive failure. Educational Psychologist, 19(2), 108–120.
Cooper, G., & Sweller, J. (1987). The effects of schema acquisition and rule automation on mathematical problem-solving transfer. Journal of Educational Psychology, 79, 347–362.
diSessa, A. A., Hammer, D., Sherin, B. L., & Kolpakowski, T. (1991). Inventing graphing: Meta-representational expertise in children. Journal of Mathematical Behavior, 10(2), 117–160.
Hardiman, P., Pollatsek, A., & Weil, A. (1986). Learning to understand the balance beam. Cognition and Instruction, 3, 1–30.
Kapur, M. (2009). Productive failure in mathematical problem solving. Instructional Science, 38(6), 523–550. doi: 10.1007/s11251-009-9093-x .
Kapur, M. (2010). A further study of productive failure in mathematical problem solving: Unpacking the design components. Instructional Science, 39(4), 561–579. doi: 10.1007/s11251-010-9144-3 .
Kapur, M., & Bielaczyc, K. (2011). Classroom-based experiments in productive failure. In L. Carlson, C. Hölscher, & T. Shipley (Eds.), Proceedings of the 33rd annual conference of the cognitive science society (pp. 2812–2817). Austin: Cognitive Science Society.
Kapur, M., & Bielaczyc, K. (2012). Designing for productive failure. The Journal of the Learning Sciences, 21(1), 45–83.
Kapur, M., & Kinzer, C. (2009). Productive failure in CSCL groups. International Journal of Computer-Supported Collaborative Learning (ijCSCL), 4(1), 21–46.
Kapur, M., & Rummel, N. (2009). The assistance dilemma in CSCL. In A. Dimitracopoulou, C. O’Malley, D. Suthers, & P. Reimann (Eds.), Computer supported collaborative learning practices-CSCL2009 community events proceedings, Vol. 2 (pp. 37–42). International Society of the Learning Sciences.
Kirschner, P. A., Sweller, J., & Clark, R. E. (2006). Why minimal guidance during instruction does not work. Educational Psychologist, 41(2), 75–86.
Klahr, D., & Nigam, M. (2004). The equivalence of learning paths in early science instruction: Effects of direct instruction and discovery learning. Psychological Science, 15(10), 661–667.
Mathan, S., & Koedinger, K. (2003). Recasting the feedback debate: Benefits of tutoring error detection and correction skills. In U. Hoppe, F. Verdejo, & J. Kay (Eds.), Artificial intelligence in education: Shaping the future of education through intelligent technologies (pp. 13–20). Amsterdam: IOS Press.
Paas, F. (1992). Training strategies for attaining transfer of problem-solving skill in statistics: A cognitive-load approach. Journal of Educational Psychology, 84, 429–434.
Paas, F., & van Merriënboer, J. (1994). Variability of worked examples and transfer of geometrical problem solving skills: A cognitive-load approach. Journal of Educational Psychology, 86, 122–133.
Roll, I. (2009). Structured invention activities to prepare students for future learning: Means, mechanisms, and cognitive processes. Pittsburgh: Thesis.
Schmidt, R. A., & Bjork, R. A. (1992). New conceptualizations of practice: Common principles in three paradigms suggest new concepts for training. Psychological Science, 3(4), 207–217.
Schwartz, D. L., & Bransford, J. D. (1998). A time for telling. Cognition and Instruction, 16(4), 475–522.
Schwartz, D. L., & Martin, T. (2004). Inventing to prepare for future learning: The hidden efficiency of encouraging original student production in statistics instruction. Cognition and Instruction, 22(2), 129–184.
Strand-Cary, M., & Klahr, D. (2008). Developing elementary science skills: Instructional effectiveness and path independence. Cognitive Development, 23(4), 488–511.
Sweller, J. (1988). Cognitive load during problem solving: Effects on learning. Cognitive Science, 12, 257–285.
Sweller, J. (2010). What human cognitive architecture tells us about constructivism. In S. Tobias & T. M. Duffy (Eds.), Constructivist instruction: Success or failure (pp. 127–143). New York: Routledge.
Sweller, J., & Cooper, G. A. (1985). The use of worked examples as a substitute for problem solving in learning algebra. Cognition and Instruction, 2, 59–89.
Tobias, S., & Duffy, T. M. (2010). Constructivist instruction: Success or failure. New York: Routledge.
Trafton, J. G., & Reiser, R. J. (1993). The contribution of studying examples and solving problems to skill acquisition. In M. Polson (Ed.), Proceedings of the 15th annual conference of the cognitive science society (pp. 1017–1022). Hillsdale: Erlbaum.
Tuovinen, J. E., & Sweller, J. (1999). A comparison of cognitive load associated with discovery learning and worked examples. Journal of Educational Psychology, 91, 334–341.