Learning to Teach with a Reinforcement Learning Agent

Joseph E. Beck

Intelligent tutoring systems (ITS) use artificial intelligence techniques to customize their instruction to fit the needs of each student. To do this, the system must have knowledge of the student being taught (commonly called a student model ) and a set of pedagogical rules that enable the system to follow good teaching principles. Teaching rules are commonly represented as a set of "if-then" production rules, where the "if" side is dependent on the student model, and the "then" side is a teaching action. For example, a rule may beof the form "IF (the student has never been introduced to the current topic) THEN (teach the topic to the student)."

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