What Makes Scientific Problems Difficult?

Learning to Solve Complex Scientific Problems

Volumn , Issue , 2017, Pages 3-24

  Jonassen, David H ^a  

^a University of Missouri   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 85141595501     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.4324/9781315091938-1     Document Type: Chapter

References (70)

1. Ahn, W., & Kalish, C. W. (2000). The role of mechanism beliefs in causal reasoning. In F. C. Keil & R. A. Wilson (Eds.), Explanation and cognition (pp. 199-225). Cambridge, MA: MIT Press.
2. Allaire, J. C., & Marsiske, M. (2002). Will- and ill-defined measures of everday cognition relationship to older adults’ intellectual ability and functional status. Psychology and Aging, 17(1), 101-115.
3. Arlin, P. K. (1989). The problem of the problem. In J. D. Sinnott (Ed.), Everyday problem solving: Theory and applications (pp. 229-237). New York: Praeger.
4. Bassok, M. (2003). Analogical transfer in problem solving. In J. E. Davidson & R. J. Sternberg (Eds.), The psychology of problem solving (pp. 343-369). New York: Cambridge University Press.
5. Baxter-Magolda, M. B. (1987). Comparing open-ended interviews and standardized measures of intellectual development. Journal of College Student Personnel, 28, 443-448.
6. Bereiter, S. R., & Miller, S. M. (1989). A field study of computer-controlled manufacturing systems. IEEE Transactions on Systems, Man, and Cybernetics, 19, 205-219.
7. Carroll, J. M., Thomas, J. C., & Malhotra, A. (1980). Presentation and representation in design problem solving. British Journal of Psychology, 71, 143-153.
8. Cho, K. L., & Jonassen, D. H. (2002). The effects of argumentation scaffolds on argumentation and problem solving. Educational Technology: Research & Development, 50(3) 5-22.
9. 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.
10. Centner, D. (1983). Structure mapping: A theoretical framework for analogy. Cognitive Science, 77, 155-170.
11. Centner, D., Loewenstein, J., & Thompson, L. (2003). Learning and transfer: A general role for analogical encoding. Journal of Educational Psychology, 95, 393-408.
12. 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.
13. Greeno, J. (1980). Trends in the theory of knowledge for problem solving. In D. T. Tuma & F. Reif (Eds.), Problem solving and education: Issues in teaching and research (pp. 9-23). Hillsdale, NJ: Lawrence Erlbaum Associates.
14. Hayes, J. R. (1989). The complete problem solver (2nd ed.). Hillsdale, NJ: Lawrence Erlbaum Associates.
15. Hegarty, M., Mayer, R. E., & Monk, C. A. (1995) Comprehension of arithmetic word problems: A comparison of successful and unsuccessful problem solvers. Journal of Educational Psychology, 87, 18-32.
16. Hernandez-Serrano, J., & Jonassen, D. H. (2003). The effects of case libraries on problem solving. Journal of Computer-Assisted Learning, 19, 103-114.
17. 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, 88-140.
18. Hong, N. S., Jonassen, D. H., & McGee, S. (2003). Predictors of well-structured and ill-structured problem solving in an astronomy simulation. Journal of Research in Science Teaching, 40, 6-33.
19. Hume, D. (2000). A treatise of human nature (D. F. Norton & M. J. Norton, Eds.). Oxford, England: Oxford University Press. (Original work published 1739)
20. Jacobs, A. E. J. P., Dolmans, D. H. J. M., Wolfhagen, I. H. A. P., & Scherpbier, A. J. J. A. (2003). Validation of a short questionnaire to assess the degree of complexity and structuredness of PBL problems. Medical Education, 37(11), 1001-1007.
21. 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.
22. Jonassen, D. H. (2000). Toward a design theory of problem solving. Educational Technology: Research & Development, 48(4), 63-85.
23. Jonassen, D. H. (2003a). Designing research-based instruction for story problems. Educational Psychology Review, 15, 267-296.
24. Jonassen, D. H. (2003b). Using cognitive tools to represent problems. Journal of Research in Technology in Education, 35, 362-381.
25. Jonassen, D. H. (2006a). Modeling with technology: Mindtools for conceptual change (3rd ed.). Columbus, OH: Merrill/Prentice Hall.
26. Jonassen, D. H. (2006b). Facilitating case reuse during problem solving. Technology, Instruction, Cognition, and Learning, 3, 51-62.
27. Jonassen, D. H., & Grabowski, B. L. (1993). Handbook of individual differences, learning and instruction. Hillsdale, NJ: Lawrence Erlbaum Associates.
28. Jonassen, D. H., & Hernandez-Serrano, J. (2002). Case-based reasoning and instructional design: Using stories to support problem solving. Educational Technology: Research and Development, 50(2), 65-77.
29. Jonassen, D. H., & Hung, W. (2006). Learning to troubleshoot: A new theory-based design architecture. Educational Psychology Review, 18, 77-144.
30. Jonassen, D. H., & Ionas, I. G. (in press). Learning to reason causally. Educational Technology: Research & Development.
31. Jonassen, D. H., & Kwon, H. I. (2001). Communication patterns in computer-mediated vs. face-to-face group problem solving. Educational Technology: Research and Development, 49(1), 35-52.
32. Jonassen, D. H., Strobel, J., & Lee, C. B. (2006). Everyday problem solving in engineering: Lessons for engineering educators. Journal of Engineering Education, 95, 1-14.
33. Keil, F. C. (1989). Concepts, kinds, and cognitive development. Cambridge, MA: MIT Press.
34. King, P. M., & Kitchener, K. S. (2002). The reflective judgment model: Twenty years of research on epistemic cognition. In B. K. Hofer & P. R. Pintrich (Eds.), Personal Epistemology: The psychology of beliefs about knowledge and knowing (pp 37-62). Mahwah: NJ, Lawrence Erlbaum Associates.
35. Kitchener, K. S. (1983). Cognition, metacognition, and epistemic cognition: A three-level model of cognitive processing. Human Development, 26, 222-232.
36. Kleinmutz, D. N., & Schkade, D. A. (1993). Information displays and decision processes. Psychological Science, 4, 221-227.
37. Konradt, U. (1995). Strategies of failure diagnosis in computer-controlled manufacturing systems. International Journal of Human Computer Studies, 43, 503-521.
38. Kramer, D. A. (1986). A life-span view of social cognition. Educational Gerontology, 12, 277-289.
39. Larkin, J. H. (1985). Understanding, problem representation, and skill in physics. In S. F. Chipman, J. W. Segal, & R. Glaser (Eds.), Thinking and learning skills: Research and open questions (Vol. 2, pp. 141-160). Hillsdale, NJ: Lawrence Erlbaum Associates.
40. Lave, J. (1988). Cognition in practice: Mind, mathematics and culture in everyday life. Cambridge, England: Cambridge University Press.
41. Mayer, R. E. (1976). Comprehension as affected by structure of problem representation. Memory & Cognition, 4, 249-255.
42. McGuinness, C. (1986). Problem representation: The effects of spatial arrays. Memory & Cognition, 14, 270-280.
43. 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.
44. Newell, A. (1980). Reasoning, problem solving, and decision process: The problem space as a fundamental category. In R. Nickerson (Ed.), International symposium on attention and performance VIII (pp. 693-718). Hillsdale, NJ: Lawrence Erlbaum Associates.
45. Newell, A., & Simon, H. (1972). Human problem solving. Englewood Cliffs, NJ: Prentice Hall.
46. Orr, J. E. (1996). Talking about machines: An ethnography of a modern job. Ithaca, NY: Cornell University Press.
47. Perry, W. G. (1970). Intellectual and ethical development in the college years: A scheme. New York: Holt, Rinehart & Winston.
48. Ploetzner, R., Fehse, E., Kneser, C., & Spada, H. (1999). Learning to relate qualitative and quantitative problem representations in a model-based setting for collaborative problem solving. Journal of the learning Sciences, 8, 177-214.
49. Ploetzner, R., & Spada, H. (1993). Multiple mental representations of information in physics problems. In G. Strube & K. F. Wender (Eds.), The cognitive psychology of knowledge (pp. 285-312). Amsterdam: Elsevier.
50. Reimann, P., & Chi, M. T. H. (1989). Human expertise. In K. J. Gilhooly (Ed.), Human and machine problem solving (pp. 161-191). New York: Plenum.
51. Rich, B. (1960). Schaum’s principles of and problems of elementary algebra. New York: Schaum’s.
52. Rittle-Johnson, B., & Alibali, M. W. (1999). Conceptual and procedural knowledge of mathematics: Does one lead to the other? Journal of Educational Psychology, 91, 175-189.
53. Rogoff, B., & Lave, J. (1984). Everyday cognition: Its development in social context. Cambridge, MA: Harvard University Press.
54. Rohlfing, K. J., Rehm, M., & Goecke, K. U. (2003). Situatedness: The interplay between context(s) and situation. Journal of Cognition and Culture, 3, 132-156.
55. Roth, W. M., & McGinn, M. K. (1997). Toward a new perspective on problem solving. Canadian Journal of Education, 22, 18-32.
56. Schacter, J., Chung, G. K. W. K., & Door, A. (1998). Children’s Internet searching on complex problems: Performance and process analyses. Journal of the American Society for Information Science, 49, 840-849.
57. Schwartz, S. H. (1971). Modes of representation and problem solving: Well evolved is half solved. Journal of Experimental Psychology, 91, 347-350.
58. Schwartz, S. H., & Fattaleh, D. L. (1973). Representation in deductive problem solving: The matrix. Journal of Experimental Psychology, 95, 343-348.
59. Scribner, S. (1986). Thinking in action: some characteristics of practical thought. In R. J. Sternberg & R.K. Wagner (Eds.), Practical intelligence: Nature and origins of competence in the everyday world (pp. 13-30). Cambridge, England: Cambridge University Press.
60. 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.
61. Smith, M. U. (1991). A view from biology. In M. U. Smith (Ed.), Toward a unified theory of problem solving (pp. 1-20). Hillsdale, NJ: Lawrence Erlbaum Associates.
62. Stokes, D. E. (1997). Pasteurs quadrant: Basic science and technological innovation. Washington, DC: Brookings Institution Press.
63. Vosniadou, S. (1992). Knowledge acquisition and conceptual change. Applied Psychology: An International Review, 41, 347-357.
64. Voss, J. F., & Post, T. A. (1989). 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.
65. 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.
66. Wilson, J. W., Fernandez, M. L., & Hadaway, N. (n.d). Mathematical problem solving. Retrieved September 22, 2005, from http://jwilson.coe.uga
67. Wood, P., Kitchener, K., & Jensen, L. (2002). Considerations in the design and evaluation of a paper-and-pencil measure of epistemic cognition. In B. K. Hofer & P. R. Pintrich (Eds.), Personal epistemology: The psychology and beliefs about knowledge and knowing (pp. 277-294). Mahwah, NJ: Lawrence Erlbaum Associates.
68. Wood, P. K. (1983). Inquiring systems and problem structure: Implications for cognitive development. Human Development, 26, 249-265.
69. Woods, D. R., Hrymak, A. N., Marshall, R. R., Wood, P. E., Crowe, C. M., Hoffman, T. W., et al., (1997). Developing problem-solving skills: The McMaster problem solving program. Journal of Engineering Education, 86, 75-92.
70. Zhang, J., & Norman, D. (1994). Representations in distributed cognitive tasks. Cognitive Science, 18, 87-122.