Computer Science 691O - S-Tools/Explanatory&TutorSystm

Artificial Intelligence will radically change education. Through machine learning, data mining, analytics, robotics, and user models, AI will replace false learning boundaries (e.g., learning places, time, level of study); personalize learning; make learning instantly available to everyone; connect learners with partners; provide multi-media; and augment human learning ability. This seminar examines recent work in explanatory and tutoring systems, presents theories about digital teaching and learning, and describes how to deliver personalized teaching in online systems. Such software supports people working alone or in collaborative inquiry to rapidly access and integrate global information. This course describes how to build tutors, stimulates awareness of research issues, and promotes sound analytic and design skills. Specific topics include systems that support collaboration, inquiry, natural language dialogue, authoring tools and user models. The course is appropriate for students from many disciplines (e.g., computer science, linguistics, education, and psychology), researchers, and practitioners from academia, industry, and government. No programming is required. Students will read and critique papers about AI tools (e.g., vision, natural language), methods, and will study the complexity of human learning through advances in cognitive science. Weekly assignments invite students to critique the literature and a final project requires a detailed specification (not a program) for a tutor on your chosen topic. Students present readings from the research literature and several working systems will be available for hands-on or virtual critique.

Open to Graduate students only. STUDENTS NEEDING SPECIAL PERMISSION MUST REQUEST OVERRIDES VIA THE ON-LINE FORM: https://www.cics.umass.edu/academics/course-overrides