Simulated classrooms and artificial students: The potential effects of new technologies on teacher education

Journal of Research on Computing in Education

Volumn 32, Issue 2, 1999, Pages 307-318

  Howard Brown, Abbie ^a  

^a WASHINGTON STATE UNIVERSITY   (United States)

Author keywords

Artificial intelligence; Computer simulation; Teacher education; Virtual reality

Indexed keywords

EID: 84967381367     PISSN: 08886504     EISSN: None     Source Type: Journal    
DOI: 10.1080/08886504.1999.10782281     Document Type: Article

References (19)

1. Cruickshank, D. R. (1988). The uses of simulations in teacher preparation. Simulation and Games, 19(2), 133-156.
2. Dean, V. S. (1981). Simulation: A tool for inservice education. Educational Leadership, 38(7), 550-552.
3. Diulus, F. P., & Baum, B. R. (1991). Simulation, creativity, and learning. Contemporary Education, 63(1), 35-37.
4. Esslin, M. (1976). An anatomy of drama. New York: Hill and Wang.
5. Gredler, M. (1996). Educational games and simulations: A technology in search of a (research) paradigm. In D. H. Jonassen (Ed.), Handbook of research for educational communications and technology (pp. 521-540). New York: Simon and Schuster Macmillan
6. Hale, C. (Ed.). (1996). Wired style: Principles of English usage in the digital age. San Francisco: Hardwired.
7. Heinich, R., Molenda, M.,& Russell, J. D. (1993). Instructional media and the new technologies of instruction (4th ed.). New York: Macmillan.
8. Hensgens, J., Van Rosmalen, P., & Van Der Baaren, J. (1995). Authoring for simulation-based learning. Instructional Science, 23, 269-296.
9. Jorge, E (1995). Virtual reality: An overview. Syracuse, NY: ERIC Clearing-house on Assessment and Evaluation. (ERIC No, ED 386 178)
10. Keller, P. E. (1997). Neural networks: What are neural networks? [Online document]. Portland, OR: Pacific Northwest National Laboratory, Battelle Memorial Institute, Department of Energy. Available: Www.emsl.pnLgov:2080/docs/cie/neural/what.html.
11. Marsh, C.J. (1979). Teacher education simulations: The challenge of change example. British Journal of Teacher Education, 5(1), 63-71.
12. McNergney, R., Lloyd, J., Mintz, S., & Moore, J. (1988). Training for pedagogical decision making. Journal of Teacher Education, 39(1), 37-43.
13. Office [Computer software]. (1987-1999). Redmond, WA: Microsoft.
14. Psotka, J. (1995). Immersive training systems: Virtual reality and education and training. Instructional Science, 23(3), 405-431.
15. Shannon, D. M., Medley, D. M., & Hays, L. (1993). Construct validity of a simulation of interactive decision making. Journal of Educational Research, 86(3), 180-183.
16. Spencer, J. (1997). Yahoo! says yahoo’ to IU” Indiana University homepages [Online document]. Available: Www.iuinfo.indiana.edu/homepages/0418/text/yahoo.htm.
17. Ur, S., & Vanlehn, K. (1995). STEPS: A simulated, tutorable physics student. Journal of Artificial Intelligence in Education, 6(4), 405-437.
18. Vanlehn, K., Ohlsson, S., & Nason, R. (1994). Applications of simulated students: An exploration. Journal of Artificial Intelligence in Education, 5(2), 135-175.
19. Zuckerman, R. A, (1979). Simulation helps pre service students acquire pragmatic teaching skills. Journal of Teacher Education, 30(1), 14-16.