Toward a design theory of problem solving

• Anderson, J.R. (1980).Cognitive psychology and its implications. New York: Freeman.

  Google Scholar 

• Barrows, H.S. (1985).How to design a problem-based curriculum for the pre-clinical years. New York: Springer.

  Google Scholar 

• Barrows, H.S., & Tamblyn, R.M. (1980).Problem-based learning: An approach to medical education. New York: Springer.

  Google Scholar 

• Bransford, J., & Stein, B.S. (1984).The IDEAL problem solver: A guide for improving thinking, learning, and creativity. New York: W.H. Freeman. Bryson, M., Bereiter, C., Scardamalia, M., & Joram, E. (1991). Going beyond the problem as given: Problem solving in expert and novice writers. In R.J. Sternberg & P.A. Frensch (Eds.),Complex problem solving: Principles and mechanisms (pp. 61–84). Hillsdale, NJ: Lawrence Erlbaum Associates.

  Google Scholar 

• Davidson, J.E., & Sternberg, R.J. (1998). Smart problem solving: How metacognition helps. In D.J. Hacker, J. Dunlosky, & A.C. Graesser (Eds.),Metacognition in educational theory and practice (pp. 47–68). Mahwah, NJ: Lawrence Erlbaum Associates.

  Google Scholar 

• Davis, J.K., & Haueisen, W.C. (1976). Field independence and hypothesis testing.Perceptual and Motor Skills, 43, 763–769.

  Google Scholar 

• Dörner, D., & Wearing, A.J. (1995). Complex problem solving: Toward a theory. In P.A. Frensch & J. Funke (Eds.),Complex problem solving: The European perspective (pp. 65–99). Hillsdale, NJ: Lawrence Erlbaum Associates.

  Google Scholar 

• Dunkle, M.E., Schraw, G., & Bendixen, L.D. (1995, April).Cognitive processes in well-defined and ill-defined problem solving. Paper presented at the annual meeting of the American Educational Research Association, San Francisco, CA.

• Durso, F.T., & Gronlund, S.D. (1999). Situation awareness. In F.T. Durso (Ed.),Handbook of applied cognition (pp. 283–314). Chichester, UK: John Wiley.

  Google Scholar 

• English, L.D. (1998). Children's reasoning in solving relational problems of deduction.Thinking & Reasoning, 4(3), 249–281.

  Article  Google Scholar 

• Fishbein, D.D., Eckart, T., Lauver, E., van Leeuwen, R., & Langemeyer, D. (1990). Learners' questions and comprehension in a tutoring system.Journal of Educational Psychology, 82, 163–170.

  Article  Google Scholar 

• Flavell, J.H. (1979). Metacognition and comprehension monitoring: A new era of cognitive development inquiry.American Psychologist, 34, 906–911.

  Google Scholar 

• Forgas, J.P. (1982). Reactions to life dilemmas: Risk taking, success and responsibility attribution.Australian Journal of Psychology, 34, 25–35.

  Google Scholar 

• Funke, J. (1991). Solving complex problems: Exploration and control of complex systems. In R.J. Sternberg & P.A. Frensch (eds.),Complex problem solving: Principles and mechanisms (pp. 185–222). Hillsdale, NJ: Lawrence Erlbaum Associates.

  Google Scholar 

• Gagné, R.M. (1980).The conditions of learning. New York: Holt, Rinehart, & Winston.

  Google Scholar 

• Gagné, R.M., Briggs, L.J., & Wager, W.W. (1992).Principles of instructional design (4th Ed.). New York: Harcourt, Brace, & Jovanovich.

  Google Scholar 

• Gagné, R.M., & Merrill, M.D. (1990). Integrative goals for instructional design.Educational Technology Research & Development, 38(1), 23–30 1990.

  Google Scholar 

• Gick, M.L. (1986). Problem-solving strategies.Educational Psychologist, 21(1&2), 99–120.

  Article  Google Scholar 

• Gick, M.L., & Holyoak, K.J. (1980). Analogical problem solving.Cognitive Psychology, 12, 306–355.

  Article  Google Scholar 

• Gick, M.L., & Holyoak, K.J. (1983). Schema induction and analogical transfer.Cognitive Psychology, 15, 1–38.

  Article  Google Scholar 

• Goel, V., & Pirolli, P. (1989). Motivating the notion of generic design within information processing theory: The design problem space.AI Magazine, 10(1), 19–36.

  Google Scholar 

• Gordon, S.E., & Gill, R.T. (1989).The formation and use of knowledge structures in problem solving domains. Tech. Report AFOSR-88-0063. Washington, DC: Bolling AFB.

  Google Scholar 

• Gourgey, A.F. (1998). Metacognition and basic skills instruction.Instructional Science, 26, 81–96.

  Article  Google Scholar 

• Greeno, J. (1978). Natures of problem-solving abilities. In W. Estes (Ed.),Handbook of learning and cognitive processes (pp. 239–270). Hillsdale, NJ: Lawrence Erlbaum Associates.

  Google Scholar 

• Greeno, J. (1991). A view of mathematical problem solving in school. In M.U. Smith (Ed.),Toward a unified theory of problem solving (pp. 69–98). Hillsdale, NJ: Lawrence Erlbaum Associates.

  Google Scholar 

• Guindon, R. (1990). Designing the design process: Exploiting opportunistic thoughts.Human-Computer Interaction, 5, 305–344.

  Google Scholar 

• Halgren, S.L., & Cooke, N.J. (1993). Towards ecological validity in menu research.International Journal of Man-Machine Studies, 39(1), 51–70.

  Article  Google Scholar 

• Hall, E.P., Gott, S.P., & Pokorny, R.A. (1995).A procedural guide to cognitive task analysis: The PARI methodology, Tech. Report AL/HR-TR-1995-0108. Brooks Air Force Base, TX: Human Resources Directorate.

  Google Scholar 

• Hannafin, M.J., Hall, C., Land, S., & Hill, J. (1994). Learning in open-ended learning environments: Assumptions, methods, and implications.Educational Technology, 34(8), 48–55.

  Google Scholar 

• Hayes, J.R., & Simon, H.A. (1977). Psychological differences among problem isomorphs. In N.J. Castellan, D.B. Pisoni, & G.R. Potts (Eds.),Cognitive theory (pp. 21–41). Hillsdale, NJ: Lawrence Erlbaum Associates.

  Google Scholar 

• Heil, M.C. (1999).Air traffic control specialist age and cognitive test performance. FAA Office of Aviation Medicine Report No. DOT-FAA-AM-99-23. Oklahoma City, OK: Federal Aviation Administration.

  Google Scholar 

• Heller, L.C. (1982). An exploration of the effect of structure variables on mathematical word problem-solving achievement (Doctoral dissertation, Rutgers University),Dissertation Abstracts International, 44, 416.

  Google Scholar 

• Hofer, B.K., & Pintrich, P.R. (1997). The development of epistemological theories: Beliefs about knowledge and knowing and their relation to learning.Review of Educational Research, 67(1), 88–140.

  Google Scholar 

• Hong, N.S., Jonassen, D.H., & McGee, S. (in press). Predictors of well-structured and ill-structured problem solving in an astronomy simulation.Journal of Research in Science Teaching.

• Jeffries, R., Turner, A.A., Polson, P.G., & Atwood, M.E. (1981). The processes involved in designing software. In J.R. Anderson (Ed.),Cognitive skills and their acquisition (pp. 255–283). Hillsdale, NJ: Lawrence Erlbaum Associates.

  Google Scholar 

• Johnson, S.D. (1988). Cognitive analysis of expert and novice troubleshooting performance.Performance Improvement Quarterly, 1(3), 38–54.

  Google Scholar 

• Johnson, S.D., & Satchwell, S.E. (1993). The effect of functional flow diagrams on apprentice aircraft mechanics' technical system understanding.Performance Improvement Quarterly, 6(4), 73–91.

  Google Scholar 

• Jonassen, D.H. (1997). Instructional design model for well-structured and ill-structured problem-solving learning outcomes.Educational Technology Research and Development 45(1), 65–95.

  Article  Google Scholar 

• Jonassen, D.H. (2000a). Integrating problem solving into instructional design. In R.A. Reiser & J. Dempsey (Eds.),Trends and issues in instructional design and technology. Upper Saddle River, NJ: Prentice-Hall.

  Google Scholar 

• Jonassen, D.H. (2000b). Activity theory revisited. In D.H Jonassen & S.L. Land, (Eds.),Theoretical foundations of learning environments. Mahwah, NJ: Lawrence Erlbaum Associates.

  Google Scholar 

• Jonassen, D.H. (2000c).Using technologies to model student problem spaces. Paper presented at the International Conference on Computers in Education, Taipei, Taiwan.

• Jonassen, D.H., Beissner, K., & Yacci, M. (1993).Structural knowledge: Techniques for assessing, conveying, and acquiring structural knowledge. Hillsdale, NJ: Lawrence Erlbaum.

  Google Scholar 

• Jonassen, D.H., & Grabowski, B.L. (1993).Handbook of individual differences, learning and instruction. Hillsdale, NJ: Lawrence Erlbaum Associates.

  Google Scholar 

• Jonassen, D.H., & Henning, P. (1999). Mental models: Knowledge in the head and knowledge in the world.Educational Technology, 39(3), 37–42.

  Google Scholar 

• Jonassen, D.H., & Kwon, H.I. (in press). Communication patterns in computer-mediated vs. face-to-face group problem solving.Educational Technology Research and Development.

• Jonassen, D.H, & Land, S.L (Eds.). (2000).Theoretical foundations of learning environments. Mahwah, NJ: Lawrence Erlbaum Associates.

  Google Scholar 

• Jonassen, D., Prevish, T., Christy, D., Stavurlaki, E. (1999). Learning to solve problems on the Web: Aggregate planning in a business management course.Distance Education: An International Journal, 20(1), 49–63.

  Google Scholar 

• Jonassen, D.H., & Tessmer, M. (1996/1997). An outcomes-based taxonomy for instructional systems design, evaluation, and research.Training Research Journal, 2, 11–46.

  Google Scholar 

• Jonassen, D.H., Tessmer, M., & Hannum, W. (1999).Handbook of task analysis procedures. Mahwah, NJ: Lawrence Erlbaum Associates.

  Google Scholar 

• Kahney, H. (1993).Problem solving: Current issues. Buckingham, UK: Open University Press.

  Google Scholar 

• Kerstholt, J.H., & Raaijmakers, J.G.W. (1997). Decision making in dynamic task environments. In R. Ranyard, W.R. Cozier, & Ola Swenson (Eds.),Decision making: Cognitive models and explanations (pp. 205–217). London: Routledge.

  Google Scholar 

• Kitchner, K.S. (1983). Cognition, metacognition, and epistemic cognition: A three-level model of cognitive processing.Human Development, 26, 222–232.

  Google Scholar 

• Kluwe, R.H. (1995). Single case studies and models of complex problem solving In P.A. Frensch & J. Funke (Eds.),Complex problem solving: The European perspective (pp. 269–291). Hillsdale, NJ: Lawrence Erlbaum Associates.

  Google Scholar 

• Land, S.M., & Hannafin, M.J. (1996). A conceptual framework for the development of theories-inaction with open-ended learning environments.Educational Technology Research & Development, 44(3), 37–53.

  Google Scholar 

• Lehman, D., Lempert, R., & Nisbett, R.E. (1988). The effects of graduate training on reasoning: Formal discipline and thinking about everyday-life events.Educational Psychologist, 43, 431–42.

  Google Scholar 

• Lester, F.K. (1994). Musings about mathematical problem-solving research: 1970–1994.Journal for Research in Mathematis Education, 25, 660–675.

  Google Scholar 

• Lucangelli, D., Tressoldi, P.E., & Cendron, M. (1998). Cognitive and metacognitive abilities involved in the solution of mathematical word problems: Validation of a comprehensive model.Contemporary Educational Psychology, 23, 257–275.

  Google Scholar 

• MacKay, E., & O'Neill, P. (1992). What creaes the dilemma in ethical dilemmas? Examples from psychological practice.Ethics & Behavior, 2(4), 227–244.

  Article  Google Scholar 

• Maloney, T.J. (1981). The relation between field-independence and rule-transfer (Doctoral dissertation, University of Toledo),Dissertation Abstracts International, 442, 2575.

  Google Scholar 

• Marshall, S.P. (1995).Schemas in problem solving. Cambridge, UK: Cambridge University Press.

  Google Scholar 

• Masui, C., & DeCorte, E. (1999). Enhancing learning and problem solving skills: Orienting and self-judging, two powerful and trainable learning skills.Learning and Instruction, 9, 517–542.

  Article  Google Scholar 

• Mayer, R.E. (1992).Thinking, problem solving, cognition (2nd ed.). New York: Freeman.

  Google Scholar 

• Mayer, R.E. (1998). Cognitive. Metacognitive, and motivational aspects of problem solving.Instructional Science, 26, 49–63.

  Article  Google Scholar 

• Mayer, R.E., & Wittrock, M.C. (1996). Problem-solving transfer. In D.C. Berlinert & R.C. Calfee (Eds.),Handbook of educational psychology (pp. 47–62). New York: Macmillan.

  Google Scholar 

• McCloskey, M., Caramaza, A., & Basili, A. (1985). Cognitive mechanisms in number processing and calculation: Evidence from dyscalculia.Brain and Cognition, 4, 171–196.

  Article  Google Scholar 

• Meacham, J.A., Emont, N.C. (1989). The interpersonal basis of everyday problem solving. In J.D. Sinnott (Ed.),Everyday problem solving: Theory and applications (pp. 7–23). New York: Praeger.

  Google Scholar 

• Mullen, J.D., & Roth, B.M. (1991).Decision making: Its logic and practice. Savage, MD: Rowman & Littlefield.

  Google Scholar 

• Newell, A., & Simon, H. (1972).Human problem solving. Englewood Cliffs, NJ: Prentice Hall.

  Google Scholar 

• Olson, M. (1965).The logic of collective action. Cambridge, MA: Harvard University Press.

  Google Scholar 

• Perkins, D.N., Hancock, C., Hobbs, R., Martin, F., & Simmons, R. (1986). Conditions of learning in novice programmers.Journal of Educational Computing Research, 2(1), 37–56.

  Google Scholar 

• Perry, W.G. (1970).The forms of intellectual and ethical development in the college years: A scheme. San Francisco: Jossey-Bass.

  Google Scholar 

• Pokorny, R.A., Hall, E.P., Gallaway, M.A., & Dibble, E. (1996). Analyzing components of work samples to evaluate performance.Military Psychology, 8(3), 161–177.

  Article  Google Scholar 

• Reed, S.K., Ernsyt, G.W., & Banerji, R. (1974). The role of analogy in transfer between similar problem states.Cognitive Psychology, 6, 436–450.

  Article  Google Scholar 

• Reigeluth, C.M. (1983).Instructional design theories and models. Hillsdale, NJ: Lawrence Erlbaum Associates.

  Google Scholar 

• Reitman, W.R. (1965).Cognition and thought. New York: Wiley.

  Google Scholar 

• Robertson, W.C. (1990). Detection of cognitive structure with protocol data: Predicting performance on physics transfer problems.Cognitive Science, 14, 253–280.

  Article  Google Scholar 

• Ronning, McCurdy, & Ballinger (1984, January). Individual differences: A third component in problem-solving instruction.Journal of Research in Science Teaching, 21(1), 71–82.

  Google Scholar 

• Salomon, G., & Perkins, D.N. (1989). Rocky roads to transfer: Rethinking mechanisms of a neglected phenomenon.Educational Psychologist, 24, 113–142.

  Article  Google Scholar 

• Schacter, J., Chung, G.K.W.K., & Dorr, A. (1998). Children's Internet searching on complex problems: Performance and process analyses.Journal of the American Society for Information Science, 49, 840–849.

  Article  Google Scholar 

• Schank, R.C., Fano, A., Bell, B., & Jona, M. (1993/1994). The design of goal-based scenarios.The Journal of the Learning Sciences, 3(4), 305–345.

  Google Scholar 

• Schroeder, D.A. (1995). An introduction to social dilemmas. In D.A. Schroeder (Ed.),Social dilemmas: Perspectives on individuals and groups (pp. 1–14). Westport, CT: Praeger.

  Google Scholar 

• Shavelson, R.J. (1972). Some aspects of the correspondence between content structure and cognitive structure in physics instruction.Journal of Educational Psychology, 63, 225–234.

  Google Scholar 

• Sherrill, J.M. (1983). Solving textbook mathematical problems.Alberta Journal of Educational Research, 29, 140–152.

  Google Scholar 

• Simon, H.A. (1973). The structure of ill-structured problems.Artificial Intelligence, 4, 181–201.

  Article  Google Scholar 

• Simon, D.P. (1978). Information processing theory of human problem solving. In D. Estes (Ed.),Handbook of learning and cognitive process. Hillsdale, NJ: Lawrence Erlbaum Associates.

  Google Scholar 

• Singley, M.K., & Anderson, J.R. (1989).The transfer of cognitive skill. Cambridge, MA: Harvard University Press.

  Google Scholar 

• Smith, M.U. (1991). A view from biology. In M.U. Smith (ed.),Toward a unified theory of problem solving. Hillsdale, NJ: Lawrence Erlbaum Associates.

  Google Scholar 

• Smith, P.L., & Ragan, T.J. (1999).Instructional design 2nd ed. Columbus, OH: Merrill.

  Google Scholar 

• Sternberg, R.J., & Frensch, P.A. (Eds.). (1991).Complex problem solving: Principles and mechanisms. Hillsdale, NJ: Lawrence Erlbaum Associates.

  Google Scholar 

• Stewin, L., & Anderson, C. (1974). Cognitive complexity as a determinant of information processing.Alberta Journal of Educational Research, 20(3), 233–243.

  Google Scholar 

• Suedfeld, P., de Vries, B., Bluck, S., Wallbaum, B.C. (1996). Intuitive perceptions of decision-making strategy: Naive assessors' concepts of integrative complexity.International Journal of Psychology, 31(5), 177–190.

  Article  Google Scholar 

• Sweller, J. (1988). Cognitive load during problem solving: Effects on learning.Cognitive Science, 12, 257–285.

  Article  Google Scholar 

• Tversky, A., & Kahneman, D. (1981). The framing of decisions and the psychology of choice.Science, 211, 453–458.

  Google Scholar 

• van Merriënboer, J.J.G. (1997).Training complex cognitive skills. Englewood Cliffs, NJ: Educational Technology Publications.

  Google Scholar 

• Voss, J.F., & Post, T.A. (1988). On the solving of ill-structured problems. In M.T.H. Chi, R. Glaser, & M.J. Farr (Eds.),The nature of expertise. Hillsdale, NJ: Lawrence Erlbaum Associates.

  Google Scholar 

• Voss, J.F., Wolfe, C.R., Lawrence, J.A., & Engle, J.A. (1991). From representation to decision: An analysis of problem solving in international relations. In R.J. Sternberg & P.A. Frensch (Eds.),Complex problem solving: Principles and mechanisms (pp. 119–158). Hillsdale, NJ: Lawrence Erlbaum Associates.

  Google Scholar 

• Wagner, R.K. (1991). Managerial problem solving. In R.J. Sternberg & P.A. Frensch (Eds.),Complex problem solving: Principles and mechanisms (pp. 159–184). Hillsdale, NJ: Lawrence Erlbaum Associates.

  Google Scholar 

• Williams, S. (1992). Putting case-based instruction into context: Examples for legal and medical education.The Journal of the Learning Sciences, 2(4), 367–427.

  Article  Google Scholar 

• Wood, P.K. (1983). Inquiring systems and problem structures: Implications for cognitive development.Human Development, 26, 249–265.

  Google Scholar 

• Woods, D.R., Hrymak, A.N., Marshall, R.R., Wood, P.E., Crowe, Hoffman, T.W., Wright, J.D., Taylor, P.A., Woodhouse, K.A., & Bouchard, C.G.K. (1997). Developing problem-solving skills: the McMaster problem solving program.Journal of Engineering Education, 86(2), 75–92.

  Google Scholar 

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