Classroom model, model classroom: Computer-supported methodology for investigating collaborative-learning pedagogy

Computer-Supported Collaborative Learning Conference, CSCL

Volumn 8, Issue PART 1, 2007, Pages 46-55

  Abrahamson, Dor ^a   Blikstein, Paulo ^b   Wilensky, Uri ^b  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b NORTHWESTERN UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AGENT BASED SIMULATION; AGENT-BASED MODELING; CLASSROOM PRACTICES; COLLABORATIVE PROBLEM SOLVING; COMPUTER MODELS; GROUP PERFORMANCE; INDIVIDUAL LEARNING; LONG-TERM LEARNING; PROFESSIONAL DEVELOPMENT; SOCIAL FACTOR;

MAMMALS; MULTI AGENT SYSTEMS; RESEARCH;

TEACHING;

EID: 84861032403     PISSN: 15734552     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (30)

1. Aaronson, E., Blaney, N., Srephan, C., Sikes, J., & Snapp, M. (1978). The jigsaw classroom. Beverly Hills, CA: Sage.
2. Abrahamson, D., Janusz, R., & Wilensky, U. (2006). There once was a 9-block... - A middle-school design for probability and statistics [Electronic Version]. Journal of Statistics Education, 14(1) from http://www.amstat.org/ publications/jse/v14n1/abrahamson.html.
3. Abrahamson, D., & Wilensky, U. (2005a). Piaget? Vygotsky? I'm game!: Agent-based modeling for psychology research. Paper presented at the annual meeting of the Jean Piaget Society, Vancouver, Canada.
4. Abrahamson, D., & Wilensky, U. (2005b). The stratified learning zone: Examining collaborative-learning design in demographically-diverse mathematics classrooms. Paper presented at the annual meeting of the American Educational Research Association, Montreal, Canada.
5. Axelrod, R. M. (1997). The complexity of cooperation: Agent-based models of competition and collaboration. Princeton, NJ: Princeton University Press.
6. Axelrod, R. M., & Cohen, M. D. (1999). Harnessing complexity: Organization implications of a scientific frontier. New York: Free Press.
7. Blikstein, P., & Wilensky, U. (2006a). The missing link: A case study of sensing-and-modeling toolkits for constructionist scientific investigation. In Proceedings of the 6th IEEE International Conference on Advanced Learning Technologies (ICALT 2006), Kerkrade, The Netherlands, 980-982.
8. Blikstein, P., Abrahamson, D., & Wilensky, U. (2006b). Minsky, mind, and models: Juxtaposing agent-based computer simulations and clinical-interview data as a methodology for investigating cognitive-developmental theory. Paper presented at the annual meeting of the Jean Piaget Society, Baltimore, MD.
9. Blikstein, P., & Wilensky, U. (2006). Learning about learning: Using multi-agent computer simulation to investigate human cognition. Paper presented at the International Conference of Complex Science, Boston.
10. Bonabeau, E., Dorigo, M., Théraulaz, G. (1999). Swarm intelligence: From natural to artificial systems. London: Oxford University Press.
11. Cohen, E. G. (1986). Designing groupwork: Strategies for the heterogeneous classroom. New York: Teachers College Press.
12. Cole, M., & Wertsch, J. V. (1996). Beyond the individual-social antinomy in discussions of Piaget and Vygotsky. Human Development, 39(5), 250-256.
13. Collier, N., & Sallach, D. (2001). Repast. Chicago: University of Chicago. http://repast.sourceforge.net
14. Diermeier, D. w. A. M. (2000). Government turnover in parliamentary democracies. Journal of Economic Theory, 94, 46-79.
15. Durkheim, E. (1947). The division of labor in society (G. Simpson, Trans.). New York: The Free Press. (Original work published 1893).
16. Epstein, J., & Axtell, R. (1996). Growing artificial societies: Social science from the bottom up. Washington: Brookings Institution Press.
17. Greeno, J. G. (1998). The situativity of knowing, learning, and research. American Psychologist, 53(1), 5-26.
18. Holland, J. H. (1995). Hidden order: How adaptation builds complexity. Reading, MA: Helix Books.
19. Hurford, A. (2004). A dynamical systems model of student learning and an example from a HubNet Participation Simulation. Paper presented at the annual meeting of the American Educational Research Association, San Diego, CA.
20. Langton, C., & Burkhardt, G. (1997). Swarm. Santa Fe: Santa Fe Institute. http://www.swarm.org/release.html.
21. North, M., Macal, C., Cirillo, R., Conzelman, G., Koritarov, V., Thimmapuram, P., et al. (2002). Modeling of electricity markets. Paper presented at the Agents 2002, Chicago, IL.
22. Papert, S. (1980). Mindstorms: Children, computers, and powerful ideas. NY: Basic Books.
23. Reynolds, C. W. (1987) Flocks, herds, and schools: A distributed behavioral model. Computer Graphics, 21(4) (SIGGRAPH '87 Conference Proceedings), 25-34
24. Starr, P. (1994). Seductions of Sim. The American Prospect, 17, 19-29.
25. Tisue, S., & Wilensky, U. (2004). NetLogo: Design and implementation of a multi-agent modeling environment. Paper presented at the Agent 2004, Chicago.
26. Wilensky, U. (1999). NetLogo. Northwestern University, Evanston, IL: The Center for Connected Learning and Computer-Based Modeling http://ccl. northwestern.edu/netlogo/.
27. Wilensky, U. (2001). Modeling nature's emergent phenomena with multi-agent modeling languages. In Proceedings of EuroLogo 2001. Linz, Austria.
28. Wilensky, U. (2003). Statistical mechanics for secondary school: The GasLab modeling toolkit. International Journal of Computers for Mathematical Learning, 8(1, special issue on agent-based modeling), 1-41.
29. Wilensky, U., & Reisman, K. (1998). Learning biology through constructing and testing computational theories - An embodied modeling approach. Paper presented at the Second International Conference on Complex Systems, Nashua, NH.
30. Wilensky, U., & Reisman, K. (2006). Thinking like a wolf, a sheep or a firefly: Learning biology through constructing and testing computational theories - an embodied modeling approach. Cognition & Instruction, 24(2), 171-209.