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!