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Aleven, V. A., & Koedinger, K. R. (2002). An effective metacognitive strategy: Learning by doing and explaining with a computer-based Cognitive Tutor. Cognitive Science, 26(2), 147-179.
Bransford, J. D., Franks, J. J., Vye, N. J., & Sherwood, R. D. (1989). New approaches to instruction: Because wisdom can’t be told. In S. Vosniadou & A. Ortony (Eds.), Similarity and analogical reasoning (pp. 470-497). New York, NY: Cambridge University Press.
Chase, C. C., Marks, J., Bernett, D., & Aleven, V. (2015). The design of an exploratory learning environment to support Invention. In J. Boticario & K. Muldner (Eds.), Proceedings of the Workshops at the 17th International Conference on Artificial Intelligence in Education, AIED 2015, Vol. 2 (pp. 1-8). Retrieved from http://ceur-ws.org/Vol1432/iseole_pap1.pdf
Chase, C. C., Marks, J., Bernett, D., Bradley, M., & Aleven, V. (2015). Towards the development of an exploratory learning environment: A study of naturalistic teacher guidance of Invention. Proceedings of the 17th International Conference on Artificial Intelligence in Education, AIED 2015, (pp. 558-561). Amsterdam, NL: IOS Press.
Chi, M. T., Leeuw, N., Chiu, M. H., & LaVancher, C. (1994). Eliciting self-explanations improves understanding. Cognitive Science, 18(3), 439-477.
Chi, M. T., Siler, S. A., Jeong, H., Yamauchi, T., & Hausmann, R. G. (2001). Learning from human tutoring. Cognitive Science, 25(4), 471-533.
de Jong, T. (2006). Scaffolds for scientific discovery learning. In J. Elen, & D. Clark (Eds.) Handling complexity in learning environments: Research and theory (pp. 107–128). London, UK: Elsevier Science.
de Jong, T., van Joolingen, W., & van der Meij, J. (2004). SimQuest discovery learning. Retrieved February 20, 2016 from http://www.simquest.nl
du Boulay, B., & Luckin, R. (2001). Modelling human teaching tactics and strategies for tutoring systems. International Journal of Artificial Intelligence in Education, 12(3), 235-256.
Festinger L. 1957. A theory of cognitive dissonance. Stanford, CA: Stanford University Press.
Geier, R., Blumenfeld, P. C., Marx, R. W., Krajcik, J. S., Fishman, B., Soloway, E., & Clay-Chambers, J. (2008). Standardized test outcomes for students engaged in inquiry-based science curricula in the context of urban reform. Journal of Research in Science Teaching, 45(8), 922-939.
Gordon, S. E., & Gill, R. T. (1997). Cognitive task analysis. In C.E. Zsambok, & G.A. Klein (Eds.), Naturalistic decision making (pp.131140). Mahwah, NJ: Erlbaum.
Graesser, A. C., Person, N., Harter, D., & Tutoring Research Group. (2000). Teaching tactics in AutoTutor. In Modelling human teaching tactics and strategies: Workshop W1 at ITS’2000, Montreal.
Ha, S., & Sears, D. A. (2012). Using innovation with contrasting cases to scaffold collaborative learning and transfer. In J. van Aaalst, K. Thompson, M. J. Jacobson, & P. Reimann (Eds.) The Future of Learning: Proceedings of the 10th International Conference of the Learning Sciences (ICLS 2012) Conference Proceedings, Vol. 1 (pp. 307-314).
Kapur, M. (2010). Productive failure in mathematical problem solving. Instructional Science, 38(6), 523-550.
Kapur, M. (2012). Productive failure in learning the concept of variance. Instructional Science, 40(4), 651-672.
Klahr, D., & Dunbar, K. (1988). Dual space search during scientific reasoning. Cognitive Science, 12(1), 1-48.
Koedinger, K. R., & Aleven, V. (2007). Exploring the assistance dilemma in experiments with cognitive tutors. Educational Psychology Review, 19(3), 239-264.
Lepper, M. R., Woolverton, M., Mumme, D. L., & Gurtner, J. (1993). Motivational techniques of expert human tutors: Lessons for the design of computer-based tutors. In S. P. Lajoie & S. J. Derry (Eds.), Computers as cognitive tools: Technology in education. Hillsdale, NJ: Erlbaum.
Linn, M. C. (1995). Designing computer learning environments for engineering and computer science: The scaffolded knowledge integration framework. Journal of Science Education and Technology, 4(2), 103-126.
Linn, M. C., Clark, D., & Slotta, J. D. (2003). WISE design for knowledge integration. Science Education, 87(4), 517-538.
Loibl, K., & Rummel, N. (2014). The impact of guidance during problem-solving prior to instruction on students’ inventions and learning outcomes. Instructional Science, 42(3), 305-326.
Mavrikis, M., & Gutierrez-Santos, S. (2010). Not all wizards are from Oz: Iterative design of intelligent learning environments by communication capacity tapering. Computers & Education, 54(3), 641-651.
Mavrikis, M., Gutierrez-Santos, S., Geraniou, E., & Noss, R. (2013). Design requirements, student perception indicators and validation metrics for intelligent exploratory learning environments. Personal and ubiquitous computing, 17(8), 1605-1620.
Mayer, R. E. (2004). Should there be a three-strikes rule against pure discovery learning? The case for guided methods of instruction. American Psychologist, 59(1), 14-19.
Reiser, B. J. (2004). Scaffolding complex learning: The mechanisms of structuring and problematizing student work. The Journal of the Learning Sciences, 13(3), 273-304.
Roll, I., Aleven, V., & Koedinger, K. R. (2009). Helping students know ‘further’—increasing the flexibility of students’ knowledge using symbolic invention tasks. In N. A. Taatgen & H. van Rijn (Eds.), Proceedings of the 31st annual conference of the cognitive science society (pp. 1169-1174). Austin, TX: Cognitive Science Society.
Roll, I., Aleven, V., & Koedinger, K. R. (2010). The invention lab: Using a hybrid of model tracing and constraint-based modeling to offer intelligent support in inquiry environments. In Intelligent Tutoring Systems (pp. 115-124). Springer Berlin Heidelberg.
Roll, I., Aleven, V., & Koedinger, K. R. (2011). Outcomes and mechanisms of transfer in invention activities. In L. Carlson, C. Hölscher, & T. Shipley (Eds.), Proceedings of the 33rd annual conference of the cognitive science society (pp. 2824-2829). Austin: Cognitive Science Society.
Sandoval, W. A., & Reiser, B. J. (1997, March). Evolving explanations in high school biology. Paper presented at the annual meeting of the American Educational Research Association, Chicago, IL.
Schwartz, D. L., & Bransford, J. D. (1998). A time for telling. Cognition and Instruction, 16, 475–522.
Schwartz, D. L., Bransford, J. D., & Sears, D. (2005). Efficiency and innovation in transfer. In J. Mestre (Ed.), Transfer of learning from a modern multidisciplinary perspective (pp. 1–51). Greenwich, CT: Information
Schwartz, D. L., Chase, C. C., Oppezzo, M. A., & Chin, D. B. (2011). Practicing versus inventing with contrasting cases: The effects of telling first on learning and transfer. Journal of Educational Psychology, 103(4), 759-775.
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.
Shemwell, J. T., Chase, C. C., & Schwartz, D. L. (2015). Seeking the general explanation: A test of inductive activities for learning and transfer. Journal of Research in Science Teaching, 52(1), 58-83.
Stevens, A. L., & Collins, A. (1977). The goal structure of a Socratic tutor. In Proceedings of the National ACM Conference (pp. 256-263). Association of Computing Machinery.
van Joolingen, W. R., & de Jong, T. (1991). Supporting hypothesis generation by learners exploring an interactive computer simulation. Instructional Science, 20(5-6), 389-404.
van Joolingen, W. R., & de Jong, T. (2003). Simquest. In Authoring tools for advanced technology learning environments (pp. 1-31). Springer Netherlands.
van Joolingen, W. R., de Jong, T., & Dimitrakopoulou, A. (2007). Issues in computer supported inquiry learning in science. Journal of Computer Assisted Learning, 23(2), 111-119.
van Joolingen, W. R., de Jong, T., Lazonder, A. W., Savelsbergh, E. R., & Manlove, S. (2005). Co-Lab: Research and development of an online learning environment for collaborative scientific discovery learning. Computers in Human Behavior, 21(4), 671–688.
VanLehn, K. (2006). The behavior of tutoring systems. International Journal Artificial Intelligence in Education, 16(3), 227–265.
VanLehn, K., Siler, S., Murray, C., Yamauchi, T., & Baggett, W. B. (2003). Why do only some events cause learning during human tutoring? Cognition and Instruction, 21(3), 209-249.
Wood, D., Bruner, J. S., & Ross, G. (1976). The role of tutoring in problem solving. Journal of Child Psychology and Psychiatry, 17(2), 89-100.