Feedback Design Considerations for Intelligent Team Tutoring Systems

Design Recommendations for Intelligent Tutoring Systems

ion • Explanation or documentation of the implementation or abstraction • The analysis of the abstraction or model • The application of the abstraction Design patterns typically include several additional attributes, including characteristic task features, rubrics, and variable task features, attributes designed to help the designer further refine the assessment tasks, including essential featu...

Expert Tutoring and Natural Language Feedback in Intelligent Tutoring Systems

Intelligent tutoring systems can provide benefits of one-on-one instruction automatically and cost effectively. To make the intelligent tutoring systems as effective as expert human tutors, my research aims at investigating what type of natural language feedback an intelligent tutoring system should provide and how to implement the feedback generation to engender significantly more learning tha...

Design considerations of an intelligent tutoring system for programming languages

Positive and negative verbal feedback for Intelligent Tutoring Systems

We built three different versions of an ITS on a letter pattern extrapolation task: in one version, students only receive color-coded feedback; in the second, they receive verbal feedback messages when they perform correct actions, and in the third, when they make a mistake. We found that time on task and number of errors are predictive of performance on the post-test rather than the type of fe...

Cluster Based Feedback Provision Strategies in Intelligent Tutoring Systems

In this paper, we propose the use of machine learning techniques operating on sets of student solutions in order to automatically infer structure on these spaces. Feedback opportunities can then be derived from the clustered data. A validation of the approach based on data from a programming course confirmed the feasibility of the approach.