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Intelligent Tutoring Systems (ITS) can both help improve student learning and serve as useful platforms for experiments in learning science [1,2]. But the difficulty of building or customizing ITSs has hindered their acceptance among educators and researchers [3]. The Cognitive Tutor Authoring Tools (CTAT) project aims to provide a suite of authoring tools that make tutor development more affordable by leveraging human-computer interaction and artificial intelligence techniques. Previous efforts on CTAT added the capability for nonprogrammers to create exampletracing tutors via a programming-by-demonstration technique that requires no coding [4]. While exampletracing tutors provide a student experience similar to that of the more general cognitive tutors, they also require that an author demonstrate and fully annotate each individual problem to be presented.

Tutorial on Rapid Development of Intelligent Tutors using the Cognitive Tutor Authoring Tools (CTAT)