Four Predefined Discourses in the Prototype of LR-TUTOR

摘要

The LR-TUTOR is an analogy-based intelligent tutoring system in the domain of Linear Recursion. In the trial development of a prototype, four discourses are chosen as illustrations of applying its embedded conceptual model. In this paper, I present the conceptual model first and then go through the four predefined discourses according to their difficulty level.