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This course addresses the use of artificial intelligence to create computer-based intelligent tutoring systems.
This course addresses the use of Artificial Intelligence to create computer-based Intelligent Tutoring Systems (ITSs). Students will learn theoretical and data-driven methods for creating ITSs. ITSs have been demonstrated to dramatically enhance student learning in many domains, including, to name a few, mathematics, computer science, medicine, biology and engineering. In addition to discussion and readings about methods and models of problem solving, learning, and tutor design, the course will have a "learning by doing" component.
After successful completion of this course, students will be able to:understand key ideas in the area of Artificial Intelligence in Educationunderstand the basics of psychology of learningcritically assess approaches to student modelling in ITSsdevelop constraints and production rules for use in ITSsdevelop small-scale constraint-based tutorsunderstand current research topics in the area of Artificial Intelligence in Education
Subject to approval of the Head of Department.
Students must attend one activity from each section.
Domestic fee $1,079.00
International Postgraduate fees
* All fees are inclusive of NZ GST or any equivalent overseas tax, and do not include any programme level discount or additional course-related expenses.
For further information see
Computer Science and Software Engineering