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Designing Learner Interactions For Agent Based Computational Systems
Pratim SenguptaMind, Matter & Media Lab
Vanderbilt University – Peabody College
World IA Day, Nashville Feb 9, 2013
To integrate agent-based modeling with K12 science education Rather than teaching separate CS courses, we propose an
integrated approach where programming, modeling and learning science co-occur
Focus on long-term development, not just in-the-moment learning
This requires rethinking the design of programming languages We have been designing VIMAP to address these issues
For a detailed discussion see Sengupta, P. et al.. (2013 / in press) [LINK]; Sengupta, P. et al., (2012) {LINK}
Design Goal
Agent-based Computation Phenomenological Interfaces Presence & Immersion Narratives Learning vs. Development Learners’ Regimes of Competence
UX Themes
Visual Programming and modeling Drag-and-drop interface for algorithm design Dynamic highlighting to support algorithm visualization Multiple, integrated microworlds to support design of
mathematical measures Image computation
A version of ViMAP that focuses on media computation ViMAP – Tangible
ViMAP integrated with sensors
Three Primary “Modes” of Interaction with ViMAP
To learn more:
Mind, Matter & media Labhttp://www.vanderbilt.edu/m3lab
ViMAPhttp://www.visualprogramming.org
Research reported here is funded by NSF Early CAREER Award # 1150230
Thank YOU!