This research proposes a user modeling framework which aims to assess and model users' creative problem-solving ability from their self-explained ideas for a specific scenario of problem-solving. The proposed framework, User Problem-Solving Ability Modeler (UPSAM), is mainly designed to accommodate to the needs of studying students' Creative Problem-Solving (CPS) abilities in the area of science education. The use of open-ended essay-question-type instrument and bipartite graph-based modeling technique together provides a potential solution of user model elicitation for CPS. The computational model has several potential applications in educational research and practice, including automated scoring, buggy concepts diagnosis, novel ideas detection, and supporting advanced studies of human creativity.
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