Research - Lessons From the Alice Testbed

Lessons From the Alice Testbed

Collaborative Inquiry in Networked Communities: Lessons From the Alice Testbed

by Alan H. Feldman and Heidi Nyland

Abstract

This paper articulates the two conjectures that form the basis of the Alice Testbed: the effectiveness and viability of Network Science and the scalability of this model for learning. After summarizing the innovation at the core of the project and the model we have developed for a testbed project, we report on what we have learned from the initial months of work. Descriptions of the six testbed projects are included in the Appendix.

The research for this paper is supported under NSF Grant #RED-9155743.
Paper presented at the Annual Meeting of the American Educational Research Association, New Orleans, LA, April 4-8, 1994. For copies, write: Alan Feldman, TERC, 2067 Massachusetts Ave., Cambridge, MA 02140 (alan_feldman@terc.edu).

Background
Network Science Model
Scalability
The Software Innovation
Testbed Projects: Developing a Model
What Have We Learned About Network Science?
What Have We Learned About Scalability?
Summary
Appendix: Description of Testbed Projects
Bibliography

Abstract

Table of Contents