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Erschienen in:
2015 | OriginalPaper | Buchkapitel
Evaluating the Effectiveness of Integrating Natural Language Tutoring into an Existing Adaptive Learning System
verfasst von : Benjamin D. Nye, Alistair Windsor, Phillip Pavlik, Andrew Olney, Mustafa Hajeer, Arthur C. Graesser, Xiangen Hu
Erschienen in: Artificial Intelligence in Education
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This paper reports initial results of an evaluation for an ITS that follows service-oriented principles to integrate natural language tutoring into an existing adaptive learning system for mathematics. Self-explanation tutoring dialogs were used to talk students through step-by-step worked solutions to Algebra problems. These worked solutions presented an isomorphic problem to a preceding Algebra problem that the student could not solve in an adaptive learning system. Due to crossover issues between conditions, experimental versus control condition assignment did not show significant differences in learning gains. However, strong dose-dependent learning gains were observed that could not be otherwise explained by either initial mastery or time-on-task.