These days, learning with computers happens every day, ranging from simple searches and research on the Internet to complex virtual simulations for training. The assumptions that are made about learners and knowledge form an integral and critical part of these applications. What we learn in building and evaluating these applications also teaches us about creating lifelike artificial intelligence.
This course will explore the knowledge modeling techniques used in Intelligent Tutoring Systems, and the assumptions made in modeling users and influencing their learning processes. In this seminar, students will read and review current research in this area. Readings will be listed on http://www.cs.uncc.edu/~tbarnes2/KnowM/