Things that make us smart: defending human attributes in the age of the machine
Things that make us smart: defending human attributes in the age of the machine
Artificial Intelligence - Special volume on computational research on interaction and agency, part 2
i-LAND: an interactive landscape for creativity and innovation
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
Distributed cognition: toward a new foundation for human-computer interaction research
ACM Transactions on Computer-Human Interaction (TOCHI) - Special issue on human-computer interaction in the new millennium, Part 2
Mediating Group Dynamics through Tabletop Interface Design
IEEE Computer Graphics and Applications
Supporting effective interaction with tabletop groupware
Supporting effective interaction with tabletop groupware
System guidelines for co-located, collaborative work on a tabletop display
ECSCW'03 Proceedings of the eighth conference on European Conference on Computer Supported Cooperative Work
Proceedings of the 21st annual ACM symposium on User interface software and technology
Tabletop displays for small group study: affordances of paper and digital materials
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Actions speak loudly with words: unpacking collaboration around the table
Proceedings of the ACM International Conference on Interactive Tabletops and Surfaces
Towards a teacher-centric approach for multi-touch surfaces in classrooms
ACM International Conference on Interactive Tabletops and Surfaces
Digital mysteries: designing for learning at the tabletop
ACM International Conference on Interactive Tabletops and Surfaces
Enhancing genomic learning through tabletop interaction
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Designing interconnected distributed resources for collaborative inquiry based science education
Proceedings of the 11th annual international ACM/IEEE joint conference on Digital libraries
Proceedings of the ACM International Conference on Interactive Tabletops and Surfaces
An interactive teacher's dashboard for monitoring groups in a multi-tabletop learning environment
ITS'12 Proceedings of the 11th international conference on Intelligent Tutoring Systems
A collaborative environment for engaging novices in scientific inquiry
Proceedings of the 2012 ACM international conference on Interactive tabletops and surfaces
Orchestrating a multi-tabletop classroom: from activity design to enactment and reflection
Proceedings of the 2012 ACM international conference on Interactive tabletops and surfaces
Tables in the wild: lessons learned from a large-scale multi-tabletop deployment
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Learning extended writing: designing for children's collaboration
Proceedings of the 12th International Conference on Interaction Design and Children
Integrating orchestration of ubiquitous and pervasive learning environments
Proceedings of the 25th Australian Computer-Human Interaction Conference: Augmentation, Application, Innovation, Collaboration
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While a number of guidelines exist for the design of learning applications that target a single group working around an interactive tabletop, the same cannot be said for the design of applications intended for use in multi-tabletops deployments in the classroom. Accordingly, a number of these guidelines for single-tabletop settings need to be extended to take account of both the distinctive qualities of the classroom and the particular challenges of having various groups using the same application on multiple tables simultaneously. This paper presents an empirical analysis of the effectiveness of designs for small-group multi-tabletop collaborative learning activities in the wild. We use distributed cognition as a framework to analyze the small number of authentic multi-tabletop deployments and help characterize the technological and educational ecology of these classroom settings. Based on previous research on single-tabletop collaboration, the concept of orchestration, and both first-hand experience and second-hand accounts of the few existing multiple-tabletop deployments to date, we develop a three-dimensional framework of design recommendations for multi-tabletop learning settings.