Beynon, Meurig and Beynon, Will (2012) Construals to support exploratory and collaborative learning in medicine. In: Intelligent Support for Exploratory Environments, 12-20 June 2012

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Abstract

Research into learning environments naturally emphasises the posi-tive merits and benefits of technologies upon which their very existence de-pends. As learning environments mature, it becomes ever more important to ex-amine the full impact of the underlying technologies critically. We argue that exploratory and collaborative learning is not well-served by the predominantly symbolic protocol-driven basis for communication that computing technology promotes. To address this issue, we apply Empirical Modelling (EM) principles to make construals: interactive environments that can be co-constructed bycol-laborating human agents so as to reflect their fluid understanding and develop-ing knowledge of a subject domain. This approach is particularly well-suited to the medical domain, where reasoning draws on scientific knowledge and evolv-ing human experience and judgement, and learning is not based on theory alone. We illustrate this via a proof-of-concept collaborative case study in which we draw on our technical and medical expertise to develop construals of malaria. To this end, we exploit a web-enabled variant of the principal EM tool that enables many agents to participate in exploratory learning activity.

Item Type:	Conference Item (Paper)
Divisions:	Faculty of Science > Computer Science
Official Date:	June 2012
Status:	Peer Reviewed
Publication Status:	Published
Conference Paper Type:	Paper
Title of Event:	Intelligent Support for Exploratory Environments
Type of Event:	Workshop
Date(s) of Event:	12-20 June 2012

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