Abstract
This chapter addresses the nature of problem solving in general, how cognitive psychologists believe that problem solving expertise develops, new issues in problem solving that have risen with new information and communication technologies, and some specific technologies and tools that can support the development of problem solving expertise. The chapter concludes with remarks about thorny issues that inhibit progress and mention some things to consider in the future.
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References
Berliner, D. (1991). What’s all the fuss about instructional time? In M. Ben-Peretz & R. Bromme (Eds.), The nature of time in schools: Theoretical concepts, practitioner perceptions. New York: Teachers College Press. Retrieved October 14, 2010, from http://courses.ed.asu.edu/berliner/readings/fuss/fuss.htm
Bransford, J. D., Brown, A. L., Cocking, R. R. (Eds.). (2000). How people learn: Brain, mind experience, and school. Washington, DC: National Academy Press.
Brown, S. I., & Walter, M. I. (1983). The art of problem posing. Hillsdale, NJ: Erlbaum.
Collins, A., Brown, J. S., & Newman, S. E. (1987). Cognitive apprenticeship: Teaching the craft of reading, writing and mathematics (Technical Report No. 403). Cambridge, MA: BBN Laboratories. Centre for the Study of Reading, University of Illinois.
Descartes, R. (1637). Discourse on the method of rightly conducting the reason, and seeking truth in the sciences [Published in The Harvard classics series edited by C. W. Eliot]. New York: Collier & Son.
Dewey, J. (1933). How we think: A restatement of the relation of reflective thinking to the educative process. Boston, MA: Heath.
Dijkstra, E. W. (1972). The humble programmer. Communications of the ACM, 15(10), 859–866.
Dörner, D. (1996). The logic of failure: Why things go wrong and what we can do to make them right (R. Kimber & R. Kimber, Trans.). New York: Metropolitan Books.
Dreyfus, H. L, & Dreyfus, S. E. (1986). Mind over machine: The power of human intuition and expertise in the era of the computer. New York: Free Press.
Ericsson, K. A. (2001). Attaining excellence through deliberate practice: Insights from the study of expert performance. In M. Ferrari (Ed.), The pursuit of excellence in education (pp. 21–55). Mahway, NJ: Erlbaum.
Ericsson, K. A., & Smith, J. (Eds.). (1991). Toward a general theory of expertise: Prospects and limits. New York: Cambridge University Press.
Frederiksen, N. (1984). Implications of cognitive theory for instruction in problem solving. Review of Educational Research, 54, 363–407.
Graf, S., Liu, T.-C., Kinshuk, Chen, N.-S., & Yang, S. J. H. (2009). Learning styles and cognitive traits: Their relationship and its benefits in Web-based educational systems. Computers in Human Behavior, 25(6), 1280–1289.
Graf, S., MacCallum, K., Liu, T.-C., Chang, M., Wen, D., Tan, Q., et al. (2008). An infrastructure for developing pervasive learning environments. Proceedings of the 6th Annual IEEE International Conference on Pervasive Computing and Communications, Los Alamitos, CA, IEEE Computer Society, 389–394.
Jonassen, D. H. (2004). Learning to solve problems: An instructional design guide. San Francisco: Pfeiffer.
Kalyuga, S. & Sweller, J. (2005). Rapid dynamic assessment of expertise to improve the efficiency of adaptive e-learning. Educational Technology Research and Development, 53, 83–93.
Kinshuk, Lin, T., & McNab, P. (2006). Cognitive trait modelling: The case of inductive reasoning ability. Innovations in Education and Teaching International,43(2), 151–161.
Kinshuk, Lin, T., & Patel, A. (2005). Supporting the mobility and the adaptivity of knowledge objects by cognitive trait model. In J. M. Spector, C. Ohrazda, A. Van Schaack, & D. Wiley (Eds.), Innovations in instructional technology: Essays in honor of M. David Merrill (pp. 29–41). Mahwah, NJ: Lawrence Erlbaum.
Klein, G. A. (1998). Sources of power: How people make decisions. Cambridge, MA: MIT Press.
Merrill, M. D. (2002). First principles of instruction. Educational Technology Research and Development, 50(3), 43–59.
Milrad, M., Spector, J. M., & Davidsen, P. I. (2003). Model facilitated learning. In S. Naidu (Ed.), Learning and teaching with technology: Principles and practices (pp. 13–27). London: Kogan Page.
Newell, A., & Simon, H. A. (1972). Human problem solving. Englewood Cliffs, NJ: Prentice Hall.
Pirnay-Dummer, P., Ifenthaler, D., & Spector, J. M. (2010). Highly integrated model assessment technology and tools. Educational Technology Research and Development, 58(1), 3–18.
Polya, G. (1945). How to solve it. Princeton, NJ: Princeton University Press.
Rittel, H., & Webber, M. (1984). Dilemmas in a general theory of planning. Policy Sciences, 4, 155–169.
Salas, E., & Klein, G. A. (Eds.). (2001). Linking expertise and naturalistic decision making. Mahwah, NJ: Erlbaum.
Seel, N. M. (2003). Model-centered learning environments. Technology, Instruction, Cognition, and Learning, 1(3), 242–251.
Spector, J. M. (2004). Problems with problem-based learning: Comments on model-centered learning and instruction in Seel (2003). Technology, Instruction, Cognition and Learning, 1(4), 359–374.
Spector, J. M., & Koszalka, T. A. (2004). The DEEP methodology for assessing learning in complex domains (Final report to the National Science Foundation Evaluative Research and Evaluation Capacity Building). Syracuse, NY: Syracuse University.
Thorndike, E. L. (1913). Educational psychology: The psychology of learning (Vol. 2). New York: Teachers College.
Tuma, D., & Reif, F. (1980). Problem solving and education. Hillsdale, NJ: Erlbaum.
van Merriënboer, J., & Sweller, J. (2005). Cognitive load theory and complex learning: Recent developments and future directions. Educational Psychology Review, 17, 147–177.
van Merriënboer, J. J. G., & Kirschner, P. A. (2007). Ten steps to complex learning. Mahwah, NJ: Erlbaum.
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Spector, J.M., Kinshuk (2011). Learning to Solve Problems in the Digital Age: Introduction. In: Ifenthaler, D., Spector, J., Isaias, P., Sampson, D. (eds) Multiple Perspectives on Problem Solving and Learning in the Digital Age. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-7612-3_1
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