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Enhancing a Student Productivity Model for Adaptive Problem-Solving Assistance
In this paper, we present a novel data-driven approach to incorporate students' hint usage in predicting their need for help.
Extending the Hint Factory for the assistance dilemma: A novel, data-driven HelpNeed Predictor for proactive problem-solving help
A core problem in solving the assistance dilemma is the need to discover when students are unproductive so that the tutor can intervene.
Avoiding Help Avoidance: Using Interface Design Changes to Promote Unsolicited Hint Usage in an Intelligent Tutor
Within intelligent tutoring systems, considerable research has investigated hints, including how to generate data-driven hints, what hint content to present, and when to provide hints for optimal learning outcomes.
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