COSC420-23S1 (C) Semester One 2023

Intelligent Tutoring Systems

15 points

Start Date: Monday, 20 February 2023
End Date: Sunday, 25 June 2023
Withdrawal Dates
Last Day to withdraw from this course:
  • Without financial penalty (full fee refund): Sunday, 5 March 2023
  • Without academic penalty (including no fee refund): Sunday, 14 May 2023


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.

Learning Outcomes

  • After successful completion of this course, students will be able to:
  • understand key ideas in the area of Artificial Intelligence in Education
  • understand the basics of psychology of learning
  • critically assess approaches to student modelling in ITSs
  • develop constraints and production rules for use in ITSs
  • develop small-scale constraint-based tutors
  • understand current research topics in the area of Artificial Intelligence in Education


Subject to approval of the Head of Department.

Timetable 2023

Students must attend one activity from each section.

Lecture A
Activity Day Time Location Weeks
01 Wednesday 10:00 - 11:00 Jack Erskine 315
20 Feb - 2 Apr
24 Apr - 4 Jun
Lecture B
Activity Day Time Location Weeks
01 Tuesday 12:00 - 13:00 Jack Erskine 315
20 Feb - 2 Apr
24 Apr - 4 Jun

Course Coordinator

Tanja Mitrovic


Assessment Due Date Percentage 
Assignment One 13 Mar 2023 5%
Assignment Two 01 May 2023 15%
Assignment Three 26 May 2023 25%
Review of Papers and Participation 15%
Final Exam 40%

Indicative Fees

Domestic fee $1,079.00

* 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 .

All COSC420 Occurrences

  • COSC420-23S1 (C) Semester One 2023