Mindtools: Affording multiple knowledge representations for learning

Computers As Cognitive Tools: Volume II, No More Walls

Volumn , Issue , 2020, Pages 165-196

  Jonassen, David H ^a   Carr, Chad S ^b  

^a UNIVERSITY OF MISSOURI   (United States)

^b NORTHERN ILLINOIS UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 85118349884     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1201/9781315045337-8     Document Type: Chapter

References (65)

1. Albers, G. B., Heiner, G., & Cellerier, G. (1991) A microworld for genetic artificial intelligence. In R. W. L. Masoud Yazdani (Ed.), Artficial intelligence and education (Vol. 7). Norwood, NJ: Ablex.
2. Anderson, J. R., Boyle, C. F., & Yost, G. (1986). The geometry tutor. Journal of Mathematical Behavior, 5, 5-19.
3. Beare, R. (1992). Software tools in science classrooms. Journal of Computer Assisted Learning, 8, 221-230.
4. Bell, M. C, & Linn, R (1997, March). Scientific arguments as learning artifacts: Designing for learning on the Web. Paper presented at the American Educational Research Association, Chicago.
5. Bremner, F. J., & Denhem, D. L. (1992). Lotus 1-2-3 simulation of frequency encoding on the basilar membrane. Behavior, Research Methods, Instruments, and Computers, 25, 208-211.
6. Brinkley, V. M. (1988). Effects of microworld training experience on sorting tasks by young children. Journal of Educational Technology Systems, 16(4), 349-364.
7. Briscoe, C, & LeMaster, S. U. (1991). Meaningful learning in college biology through concept mapping. American Biology Teacher, 53(4), 214-219.
8. Carver, S. M., Lehrer, R., Connell, T., & Ericksen, J. (1992). Learning by hypermedia design: Issues of assessment and implementation. Educational Psychologist, 27(3), 385-404.
9. Cerbin, B. (1988, April 24-27). The nature and development of informal reasoning skills in college students. Paper presented at the National Institute on Issues in Teaching and Learning, Chicago.
10. Crouch, R. D., Holden, M. S., & Samet, C. (1996). CAChe Molecular modeling: A visualization tool early in the undergraduate chemistry curriculum. Journal of Chemical Education, 73(10), 916-917.
11. Davis, N. T. (1990). Using concept mapping to assist prospective elementary teachers in making meaning. Journal of Science Teacher Education, 7(4), 66-69.
12. Derry, S. J., & LaJoie, S. P. (1993). A middle camp for (un)intelligent instructional computing: An introduction. In S. P. LaJoie & S. J. Derry (Eds.), Computers as cognitive tools (pp. 1-14). Hillsdale, NJ: Lawrence Erlbaum Associates.
13. Driskell, J. E., & Dwyer, D. J. (1984). Microcomputer videogame based training. Educational Technology, 24, 11-16.
14. Edelson, D. C, Pea, R. D., & Gomez, L. (1996). Constructivism in the collaboratory. In B. G. Wilson (Ed.), Constructivist learning environments: Case studies in instructional design (pp. 151-164). Englewood Cliffs, NJ: Educational Technology Publications.
15. Fischer, K. M., Faletti, J., Patterson, H., Thornton, R., Lipson, J., & Spring, C. (1990). Computer assisted concept mapping. Journal of College Science Teaching, 19(6), 347-352.
16. Goble, L. N., Colle, H. A., & Holland, V. M. (1988). Development and evaluation of a computerized hand-held instructional prototype (CHIP). In Proceedings of the Sixth Conference on Interactive Instructional Delivery (pp. 859-864). Warrenton, VA: Society for Applied Learning Technology.
17. Goldberg, K. P. (1992, April). Database programs and the study of sea shells. Computing Teacher, pp. 32-34.
18. Greeno, J. (1989). A perspective on thinking. American Psychologist, 44, 134-141.
19. Halff, L. A. (1987). A spreadsheet simulation of the early stages of visual processing. Behavior, Research Methods, Instruments, and Computers, 19, 117-122.
20. Harris, J. (1995, February). Organizing and facilitating telecollaborative projects. Computing Teacher, 22(5), 66-69. Available: http://www.ed.uiuc.edu/Mining/February95-TCT.html.
21. Hopkins, P. L. (1992). Simulating Hamlet in the classroom. Systems Dynamics Review, 8(1), 91-98.
22. Horton, P. B., McConney, A. A., Gallo, M., & Woods, A. L. (1993). An investigation of the effectiveness of concept mapping as an instructional tool. Science Education, 77(1), 95-111.
23. Jiang, Z. (1994). A computer microworld to introduce students to probability. Journal of Computers in Mathematics and Science Teaching, 13(2), 197-222.
24. Jonassen, D. H. (1987). Verifying a method for assessing cognitive structure using pattern notes. Journal of Research and Development in Education, 20(3), 1-14.
25. Jonassen, D. H. (1996). Computers in the classroom: Mindtools for critical thinking. Columbus, OH: Merrill/Prentice-Hall.
26. Jonassen, D. H. (1999). Designing constructivist learning environments. In C. M. Reigeluth (Ed.), Instructional design theories and models (2nd ed.). Hillsdale, NJ: Lawrence Erlbaum Associates.
27. Jonassen, D. H. (2000). Computers as mindtools in schools: Engaging critical thinking (2nd ed.). Columbus, OH: Prentice-Hall.
28. Jonassen, D. H., Beissner, K., & Yacci, M. A. (1993). Structural knowledge: Techniques for representing, assessing, and acquiring structural knowledge. Hillsdale, NJ: Lawrence Erlbaum Associates.
29. Jonassen, D. H., Myers, J. M., & McKillop, A. M. (1996). From constructivism to constructionism: Learning with hypermedia/multimedia rather than from it. In B. G. Wilson (Ed.), Constructivist learning environments: Case studies in instructional design (pp. 9-106). Englewood Cliffs, NJ: Educational Technology Publications.
30. Jonassen, D. H., & Reeves, T. C. (1996). Learning with technology: Using computers as cognitive tools. In D. H. Jonassen (Ed.), Handbook of research for educational communications and technology (pp. 693-719). New York: Macmillan.
31. Jonassen, D. H., & Rohrer-Murphy, L. (1999). Activity theory as framework for designing constructivist learning environments. Educational Technology: Research and Development.
32. Katzeff, C. (1987). Strategies for testing hypotheses in database query writing (Rep. No. 669). Stockholm: Department of Psychology, University of Stockholm.
33. Keys, J. B. F, Robert, M., & Stumpt, S. A. (1996). Microworlds and simuworlds: Practice fields for the learning organization. Organizational Dynamics, 24(4), 36-49.
34. Lahtinen, V, Lonka, K., & Lindbloom, S. (1997). Spontaneous study strategies and the quality of knowledge construction. British Journal of Educational Psychology, 67, 13-24.
35. Lajoie, S. P., Greer, J. E., Munsie, S. D., Wilkie, T. V, Guerrara, C, & Aleong, P. (1995). Establishing an argumentation environment to foster scientific reasoning with Bio-World. In D. Jonassen & G. McCalla (Eds.), Proceedings of the International Conference on Computers in Education (pp. 89-96). Charlottesville, VA: Association for the Advancement of Computing in Education.
36. Leeman, R. W. (1987). Taking perspectives: Teaching critical thinking in the argumentation course. Paper presented at the Speech Communication Association, Boston.
37. Lehrer, R. (1993). Authors of knowledge: Patterns of hypermedia design. In S. P. LaJoie & S. J. Derry (Eds.), Computers as cognitive tools. Hillsdale, NJ: Lawrence Erlbaum Associates.
38. Markham, K. M., Mintzes, J. J., & Jones, M. G. (1994). The concept map as a research and evaluation tool; Further evidence of validity. Journal of Research in Science Teaching, 31, 91-101.
39. McKillop, A. M. (1996). Unpublished doctoral dissertation, Pennsylvania State University.
40. Mikulecky, L. (1988). Development of interactive programs to help students transfer basic skills to college level science and behavioral sciences courses. Bloomington, IN: Indiana University. (ERIC Document Reproduction Service No. ED 318 469)
41. Niedderer, H., Schecker, K., & Bethge, T. (1991). The role of computer-aided modeling in learning physics. Journal of Computer-Assisted Learning, 7(2), 84-95.
42. O'Neill, D. K., & Gomez, L. M. (1992). The collaborator notebook: A distributed knowledge building environment for project learning. Proceedings of ED MEDIA, 94. Vancouver B.C., Canada.
43. Panitz, B. (1998). The 15-minute lecture. Prism, 7(6), 17.
44. Papert, S. (1990). Introduction to I. Harel (Ed.), Constructionist learning. Boston: MIT Laboratory.
45. Pea, R. (1984). Integrating human and computer intelligence (Tech. Rep. No. 32). New York: Bank Street College of Education.
46. Perkins, D. N. (1986). Knowledge as design. Hillsdale, NJ: Lawrence Erlbaum Associates.
47. Pon, K. (1984). Databasing in the elementary (and secondary) classroom. Computing Teacher, 72(3), 28-30.
48. Quii lian, M. R. (1968). Semantic memory. In M. Minsky (Ed.), Semantic information processing (pp. 43-67). Cambridge, MA: MIT Press.
49. Resnick, L. B. (1991). Shared cognition: Thinking as social practice. In L. B. Resnick, J. M. Levine, & S. D. Teasley (Eds.), Perspectives on socially shared cognition (pp. 1-20). Washington, DC: American Psychological Association
50. Robertson, W. C. (1990). Detection of cognitive structure with protocol data: Predicting performance on physics transfer problems. Cognitive Science, 14, 253-280.
51. Rooze, G. E. (1988-89). Developing thinking using databases: What's really involved? Michigan Social Studies Journal, 3(1), 25-26.
52. Roth, W. M., & Roychoudhury, A. (1993). The concept map as a collaborative tool for collaborative construction of knowledge: A microanalysis of high school physics students. Journal of Research in Science Teaching, 30, 503-534.
53. Rumelhart, D. E. (1980). Schemata: The building blocks of cognition. In R. J. Spiro, B. C. Bruce, & W. F. Brewer (Eds.), Theoretical issues in reading comprehension: Perspectives from cognitive psychology, linguistics, artificial intelligence, and education. Hillsdale, NJ: Lawrence Erlbaum Associates.
54. Salomon, G., Perkins, D. N., & Globerson, T. (1991). Partners in cognition: Extending human intelligence with intelligent technologies. Educational Researcher, 20(3), 2-9.
55. Schiano, D. J. (1997). Convergent methodologies in cyber-space: A case study. Behavior, Research Methods, instruments, and Computers, 29(2), 270-273.
56. Schreiber, D. A., & Abegg, G. L. (1991, April). Scoring student-generated concept maps in introductory college chemistry. Paper presented at the Annual Meeting of the National Association for Research in Science Teaching, Lake Geneva, WI. (ERIC Document Reproduction Service No. ED 347 055)
57. Spitulnik, J., Studer, S, Finkel., Gustafson, E., Laczko, J., & Soloway, E. (1995). The RiverMUD design rationale: Scaffolding for scientific inquiry through modeling, discourse, and decision making in community based issues. In T. Koschman (Ed.), Proceedings of Computer Support for Collaborative Learning. Hillsdale, NJ: Lawrence Erlbaum Associates.
58. Spoehr, K. T. (1993, April). Profiles of hypermedia authors: How students learn by doing. Paper presented at the annual meeting of the American Educational Research Association, Atlanta, GA.
59. Steffe, L. P. (1991). Operations that generate quantity. Learning and Individual Differences, 3, 61-82.
60. Sutherland, R., & Rojano, T. (1993). A spreadsheet approach to solving algebra problems. Journal of Mathematical Behavior, 12, 353-383.
61. Thompson, P.W. (1985, September). A Piagetian approach to transformation geometry via microworlds. Mathematics Teacher, pp. 465-471.
62. Toulmin, S., Rieke, R., & Janik, A. (1984). An introduction to reasoning. New York: Macmillan.
63. Trollip, S., Lippert, R., Starfield, A., & Smith, K. A. (1992). Building knowledge bases: An environment for making cognitive connections. In P. Kommers, D. H. Jonassen, & T. Mayes (Eds.), Cognitive tools for learning. Heidelberg: Springer-Verlag.
64. Winn, W., & Snyder, D. (1996). Cognitive perspectives in psychology. In D. H. Jonassen (Ed.), Handbook of research for educational communications and technology (pp. 112-143). New York: Macmillan.
65. Yerulshamy, M., & Schwartz, J. (1986). The geometric supposer: Promoting thinking and learning. Mathematics Teacher, 79, 418-422.