Model-Based Generation of Demand Feedback in a Programming Tutor

Can a model-based tutor be designed to automatically generate demand feedback for any problem in its domain? Would the resulting feedback be effective enough for the user to learn from? In this paper, we will examine these issues in the context of a tutor for programming. We will propose a two -stage feedback generation mechanism that maintains the principle of modularity characteristic of model-based architectures, and therefore, scalability of the system, while producing coherent demand feedback. Empirical evaluation of our tutors indicates that the generated feedback helps improve learning among users.

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