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- W2396979915 abstract "This paper describes the initial evaluation results for providing adaptive support based on effective/detrimental interaction patterns discovered by applying data mining on user interaction data for an Interactive Simulation. Previously, we presented the process of building a classifier user model for the AIspace CSP applet, an open-ended interactive simulation which helps with learning how to solve constraint satisfaction problems. In a later work, we presented a methodology for providing adaptive interventions based on the class association rules that form our classifier user model. In this work, we discuss how to use the generated adaptation rules for delivering adaptive support in the form of hints. The initial qualitative evaluation of the resulting support mechanism, as well as a quantitative evaluation using eye tracking and action logs, show that the interventions were well-received by users." @default.
- W2396979915 created "2016-06-24" @default.
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- W2396979915 date "2013-01-01" @default.
- W2396979915 modified "2023-09-23" @default.
- W2396979915 title "Evaluation of a Data Mining Approach to Providing Adaptive Support in an Open-Ended Learning Environment: A Pilot Study." @default.
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