Designing Intelligent Tutoring Systems With AI: Brain-Based Principles for Learning Effectiveness

This chapter describes research issues about designing effective Intelligent Tutoring Systems (ITS) that lies on cognitive neuroscience research (brain-based approach) and Evidence-Based Education. Effective interaction student-ITS needs a thorough understanding of the brain processes that underlie learning. The knowledge of these principles lets to select optimal pedagogical strategies to monitor and drive the process. AI-based tutors have a great potential in moment-by-moment adaptation of instructional content and tactics to the changing cognitive needs of the individual learner in order to promote deep understanding, increase motivation and develop sense of self-efficacy.