Representational and Advisory Guidance for Learning: Alternate Roles for AI.
Daniel D. Suthers · ScholarSpace (University of Hawaii at Manoa) · 1999
Abstract. Although applications of artificial intelligence to education have traditionally focused on teachercentered approaches such as Intelligent Tutoring Systems, artificial intelligence can also contribute to studentcentered approaches to learning by providing representational and interactive support for collaborative learning. Specifically, AI can inform the design of representational systems that constrain and guide learner’s activities, and enable dynamic generation of guidance based on representational artifacts that learners construct in these systems. The paper exemplifies such contributions with an educational software package, known as “Belvedere ” that supports students collaboratively solving ill-structured problems in science as they develop critical inquiry skills.