When Systems Collide: Challenges and Opportunities in Learning Technology Mash-Ups

Session Submission Type: Symposium

Abstract

This symposium presents four case studies of learning technology “mash-ups”: collaborative projects that bring together two existing technology bases in an effort to leverage their respective strengths in pursuit of richer learning tools. The presenters will recount the origins of their collaborations, describe their component technologies, discuss the challenges and opportunities encountered in their work, and briefly summarize the status of their mash-ups, from both technological and pedagogical perspectives. The audience will be invited to share their own “mash-up” experiences, and to contribute to a discussion of the ways in which we might foster a more cohesive development community to supports the re-use and adaptation emerging technologies.

Sub Unit

• Division C - Learning and Instruction / Section 7: Technology Research

Chair

• Tom Moher, University of Illinois at Chicago

Papers

• NetTango: A Mash-Up of NetLogo and Tern - Michael S. Horn, Northwestern University; Uri J. Wilensky, Northwestern University

• A Mashup of AutoTutor and Emotion-Sensing Technologies - Arthur C. Graesser, The University of Memphis; Sidney K. D'Mello, The University of Memphis

• Affective Learning Companions: A Serial Mash-Up of Affective Sensing, Machine Learning, and Relational Agents - Winslow Burleson, Arizona State University; Ken Perlin, New York University

• Mashing Up Simulations and Knowledge Construction Technologies to Support Complex Instructional Designs - James D. Slotta, University of Toronto; Tom Moher, University of Illinois at Chicago

Discussant

• Nichole D. Pinkard, DePaul University