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Athabasca University

Project Information

Name: Mixed-Initiative Writing
Abstract     Writing is a core skill students are expected to develop early in their schooling. However, tracking and understanding the development of learners’ expertise in writing poses considerable challenges, given the complexity of the writing process and the volume of data. This research explores a technologically-enhanced pedagogical method that hold the potential to enhance writing competence. It tracks learners’ writing activities as they complete a writing exercise using a special mixed-initiative editor called MI-Writer. The tracked activities are mapped onto a causal model to answer questions related to specific writing competencies of the learner. As a mixed-initiative system, learners can receive context-specific support from the system, just in time, as they write. The overall goals are to measure individual competencies of writing, identify writing competency-gaps, and promote means to address these gaps.
Start Date 2011-01-01
End Date 2012-08-31
Research Areas
artificial intelligence and educationbayesian belief networkscausal modelling
co-regulated learningcognitive modellingknowledge tracing
mixed initiativesmodel tracingontologies
realtime feedbackself-regulated learninguser modelling
Source Name Amount
NSERC15,000
Faculty Researcher(s)

Updated November 27 2013 by FST Technical Staff

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