Representations for Scaffolding Collaborative Inquiry on Ill-Structured Problems.

The Belvedere software environment was designed to support students engaged in collaborative learning while solving ill-structured problems requiring integration of multiple sources of data to evaluate competing hypotheses or solutions. Students are posed with web-based “science challenge problems,” which present a recent or current debate in science along with on-line articles, data, and suggestions for hands-on data-gathering activities. Students use the Belvedere inquiry-diagramming facility to record hypotheses under consideration, information gathered, and the evidential relations between them. Preliminary studies with Belvedere suggest that the design of representational tools can have a significant effect on the learners’ knowledge-building discourse. However, these effects are insufficiently studied. After several years of laying the groundwork by building and deploying such software, the author and colleagues have begun such an in-depth investigation, examining the effects of textual, diagrammatic and tabular representational tools on the quality of knowledge-building discourse between learners. The paper describes the Belvedere work that led to this position, lays out a research agenda, and describes pilot studies now underway.

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