Psychological foundations for instructional design theory

Instructional Design: International Perspectives: Theory, Research, and Models

Volumn 1, Issue , 2013, Pages 113-134

  Tennyson, Robert D ^a   Breuer, Klaus ^b  

^a UNIVERSITY OF MINNESOTA   (United States)

^b JOHANNES GUTENBERG UNIVERSITY   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 85069994240     PISSN: None     EISSN: None     Source Type: Book    
DOI: None     Document Type: Chapter

References (64)

1. Asch, S. E. (1946). Forming impressions of personality. Journal of Abnormal and Social Psychology, 41, 258-290
2. Banathy, B. H. (1987). Instructional systems design. In R. M. Gagné (Ed.), Instructional technology: Foundations (pp. 85-112). Hillsdale, NJ: Lawrence Erlbaum Associates
3. Bereiter, C. (1990). Aspects of an educational learning theory. Review of Educational Research, 60, 603-624
4. Bieri, J. (1955). Cognitive complexity-simplicity and predictive behavior. Journal of Abnormal and Social Psychology, 51, 263-268
5. Bieri, J., Atkins, A. L., Briar, S., Leaman, R. L., Miller, H., & Tripodi, T. (1966). Clinical and social judgment: The discrimination of behavioral information (pp. 46-62). New York: Wiley
6. Bloom, B., Englehart, M., Furst, E., Hill, W., & Krathwohl, D. (1956). Taxonomy of educational objectives: The classification of educational goals. Handbook I: Cognitive domain. New York: Longman Green
7. Breuer, K. (1983). Personen und Medien in Interaktion: Das Knozept der cognitiven Komplexitat in der Medienpädagogik [Interaction of learners and media: Cognitive complexity theory in mediated instruction]. Schulpraxis, 3/4, 22-25
8. Breuer, K., & Davidson, P. (1989). Computersimulationen im Unterricht der sozialwissenschaftlichen Fächer [Computer simulations within social science classes]. LOG IN, 9(4), 24-29
9. Breuer, K., & Kummer, R. (1990). Cognitive effects from process learning with computer-based simulations. Computers in Human Behavior, 6, 69-81
10. Brown, A. L. (1978). Knowing when, where, and how to remember: A problem of metacognition. In R. Glaser (Ed.), Advances in instructional psychology (Vol. 1, pp. 172-198). Hillsdale, NJ: Lawrence Erlbaum Associates
11. Brown, J. S., Collins, A., & Duguid, P. (1989). Situated cognition and the culture of learning. Educational Researcher, 18, 32-42
12. Chi, M. T. H., Feltovich, P., & Glaser, R. (1981). Categorization and representation of physics problems by experts and novices. Cognitive Science, 5, 121-152
13. Chubb, H. (1990). Looking at systems as process. Family Process, 29, 169-175
14. Clark, R. E. (1989). Current progress and future directions for research in instructional technology. Educational Technology Research and Development, 37, 57-66
15. Driver, M. J. (1962). Conceptual structure and group processes in an international simulation. Part 1. The perception of simulated nations (ONR Tech. Rep. No. 9). Princeton, NJ: ETS and Princeton University
16. Flavell, J. H. (1971). What is memory development the development of? Human Development, 14, 225-286
17. Gagné, R. M. (1985). The conditions of learning (4th ed.). New York: Holt, Rinehart & Winston
18. Gagné, R. M., & Merrill, M. D. (1992). Integrative goals for instructional design. Educational Technology Research and Development, 38(1), 23-30
19. Glaser, R. (1962). Psychology and instructional technology. In R. Glaser (Ed.), Training research and education (pp. 4-19). Pittsburgh, PA: University of Pittsburgh Press
20. Glaser, R. (1990). The reemergence of learning theory within instructional research. American Psychologies, 45, 29-39
21. Gleick, J. (1987). Chaos: Making of a new science. New York: Norton
22. Gobbo, C, & Chi, M. T. H. (1986). How knowledge is structured and used by expert and novice children. Cognitive Development, 80, 16-20
23. Harré, R. (1984). Personal being: A theory f or individual psychology. Cambridge, MA: Harvard University Press
24. Harvey, O.J., Hunt, D., & Schroder, H. M. (1961). Conceptual systems and personality organization. New York: Wiley
25. Kail, R. V., & Hagen, J. W. (Eds.). (1977). Perspectives on the development of memory and cognition. Hillsdale, NJ: Lawrence Erlbaum Associates
26. Kelly, G. A. (1955). The psychology of personal constructs: Vol. 1. A theory of personality. New York: Norton
27. Leutner, D., & Schumacher, G. (1990). The effects of different on-line adaptive response time limits on speed and amount of learning in computer-assisted instruction and intelligent tutoring. Computers in Human Behavior, 6, 17-30
28. Lewin, R. (1936). Principles of topological psychology. New York: McGraw-Hill
29. Li, W., & Xu, L. C. (1987). Chaos and its significance in physiological psychology. Acta Psychologica Sinica, 19, 548-560
30. Lonie, I. (1991). Chaos theory: A new paradigm for psychotherapy? Australian and New Zealand Journal of Psychiatry, 25, 548-560
31. Mann, S. R. (1992). Chaos theory and strategic thought. Parameters, 22(3), 54-68
32. Mead, G. H. (1934). Self, mind, and society. Chicago: University of Chicago Press
33. Moran, M. G. (1991). Chaos theory and psychoanalysis: The fluidic nature of the mind. International Review of Psychoanalysis, 18, 211-221
34. Neisser, U. (1976). Cognition and reality. San Francisco: Freeman
35. Ornstein, P. A. (Ed.). (1978). Memory development in children. Hillsdale, NJ: Lawrence Erlbaum Associates
36. Rabinowitz, M., & Glaser, R. (1985). Cognitive structure and process in highly competent performance. In F. D. Horowitz & M. O'Brien (Eds.), The gifted and the talented: A developmental perspective (pp. 151-182). Washington, DC: American Psychological Association
37. Richards, D. (1990). Is strategic decision making chaotic? Behavioral Science, 35, 219-232
38. Ross, S. M., & Morrison, G. R. (1995). Evaluation as a tool for research and development: Issues and trends in its applications in educational technology. In R. D. Tennyson & A. E. Barron (Eds.), Automating instructional design: Computer-based development and delivery tools (pp. 491-522). Berlin: Springer
39. Rumelhart, D. E., & Norman, D. A. (1981). Analogical processes in learning. In J. R. Anderson (Ed.), Cognitive skills and their acquisition (pp. 83-103). Hillsdale, NJ: Lawrence Erlbaum Associates
40. Schachtel, E. G. (1959). Metamorphosis. New York: Basic Books
41. Siegler, R. S., & Klahr, D. (1982). When do children learn? The relationship between existing knowledge and the acquisition of new knowledge. In R. Glaser (Ed.), Advances in instructional psychology (Vol. 2, pp. 165-178). Hillsdale, NJ: Lawrence Erlbaum Associates
42. Skinner, B. F. (1958). Teaching machines. Science, 128, 969-977
43. Skinner, B. F. (1968). The technology of teaching. New York: Appleton-Century-Crofts
44. Skinner, B. F. (1990). Can psychology be a science of mind? American Psychologist, 45, 1206-1213
45. Sproull, L., & Kiesler, S. (1991). Connections. Boston: MIT Press
46. Sterman, J. D. (in press). Learning in and about complex systems. System Dynamics Review
47. Stevens, B. A. (1991). A challenge to refine systems theory. Australian and New Zealand Journal of Family Therapy, 12, 23-26
48. Streufert, S., & Nogami, G. Y. (1989). Cognitive style and complexity: Implications for I/O psychology. International Review of Industrial and Organizational Psychology. London: Wiley
49. Suedfeld, P. (1992). Cognitive managers and their critics. Political Psychology, 13, 435-453
50. Tennyson, R. D. (1974). Applications of computers in education. Audio-Visual Instruction, 19(5), 49-52
51. Tennyson, R. D. (1990). Artificial intelligence and computer-based learning. In C. N. Hedley, J. Houtz, & A. Baratta (Eds.), Cognition, curriculum, and literacy (pp. 95-104). Norwood, NJ: Ablex
52. Tennyson, R. D. (1993). MAIS: A computer-based integratedinstructional system. Behavior Research Methods, Instruments, & Computers, 25, 93-100
53. Tennyson, R. D., & Breuer, K. (1984). Cognitive-based design guidelines for using video and computer technology in course development. In O. Zuber-Skerritt (Ed.), Video in higher education (pp. 26-63). London: Kogan
54. Tennyson, R. D., & Breuer, K. (1991). Complex-dynamic simulations to improve higher-order thinking strategies. Journal of Structural Learning, 11, 311-326
55. Tennyson, R. D., & Breuer, K. (1993). Computer-based training: Advancements from cognitive science. In G. M. Piskurich (Ed.), The ASTD handbook of instructional technology (pp. 24.1-24.12). New York: McGraw-Hill
56. Tennyson, R. D., Elmore, R., & Snyder, L. (1992). Advancements in instructional design theory: Contributions from cognitive science and educational technology. Educational Technology Research and Development, 40, 9-22
57. Tennyson, R. D., & Foshay, R. (in press). Instructional systems development. In S. Tobias & H. F. O'Neil (Eds.), Handbook on training Washington, DC: American Psychological Association
58. Tennyson, R. D., & Park, O. (1987). Artificial intelligence and computer-assisted learning. In R. Gagné (Ed.), Instructional technology: Foundations (pp. 319-342). Hillsdale, NJ: Lawrence Erlbaum Associates
59. Tennyson, R. D., & Rasch, M. (1988). Linking cognitive learning theory to instructional prescriptions. Instructional Science, 17, 369-385
60. Tennyson, R. D., Thurlow, R., & Breuer, K. (1987). Problem-oriented simulations to develop and improve higher-order thinking strategies. Computers in Human Behavior, 3, 151-165
61. Thorndike, E. (1913). The psychology of learning: Educational psychology (Vol. 2). New York: Teachers College Press
62. Vygotsky, L. (1978). Mind in society: The development of higher psychological processes (M. Cole, V. John-Steiner, S. Scribner, & E. Souberman, Eds.). Cambridge, MA: Harvard University Press
63. Werner, H. (1957). Comparative psychology of mental development. New York: International Universities Press
64. Winn, W. D. (1989). Towards a rationale and theoretical basis for educational technology. Educational Technology Research and Development, 37, 35-46