Sessional Lecturer - CTL1615H - Introduction to AI in Education

Course number and title: CTL1615H - Introduction to AI in Education

Course description: : While many recognize that forms of artificial intelligence (AI) technology is increasingly infused in our everyday lives, AI's role in education (K-12, higher education and corporate) is less clear. Some are predicting that AI will enhance teaching and learning by complimenting instructional and assessment practices through big data collection, machine learning and sophisticated prediction. Some see the promise of AI through the fulfillment of support roles such as through the use of chat-bots and intelligent tutors. Others are concerned about the impact of AI on educators and learners, particularly related to security/privacy and data collection, ambiguous decision making/inherent bias, job loss and loss of control. AI is showing promise in the area of research tools, too. In this course, we explore the implications of AI in education (AEID).  Included in the course is a discussion of related terminology and core concepts, the history and current state of AIED, practical considerations, current applications and future predictions about the impact of AI on the educational field.  The readings will focus on a variety of theoretical concepts and will explore the integration of and implications of AIED.  The key, overarching questions we'll be considering in this course are: What definitions, terminology and core concepts of AI are important to understand as they relate to education? How do we stay current with AI developments in education? What are the implications of AI integration in education today and in the future?

Estimated TA support: No

Estimated course enrolment : 35

Class schedule : Wednesday 17:00 - 20:00

Sessional dates of appointment: 2027-01-01 - 2027-04-30

Appointment percentage: 100

Salary : As of September 1, 2026, the minimum stipend is $9972.475 (inclusive of vacation pay) for a half credit course. 

As of January 1, 2027, the minimum stipend is $ $9972.475 (inclusive of vacation pay) for a half credit course. Salary may be prorated based on the appointment percentage.                                                                   

Minimum Qualifications:

Candidates should possess a doctorate degree in a relevant discipline and demonstrated currency and mastery of the subject area. Mastery may be demonstrated, but not limited to scholarly publications establishing expertise in the area.

Preferred Qualifications: Over and above the minimum qualifications, preference will be given to individuals with prior graduate teaching experience in this area.

Description of duties: Prepare, organize, and teach this half-course graduate seminar; be available to students seeking assistance between classes; evaluate and provide students with feedback on their work. 

Application Procedure: Please indicate in a letter of application why you believe your experience qualifies you to teach this particular course. Please include a current CV and names of three referees in your cover letter. If you are selected for an interview, we will notify you to provide reference letters.

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This job is posted in accordance with the CUPE 3902 Unit 3 Collective Agreement. It is understood that some announcements of vacancies are tentative, pending final course determinations and enrolment. Should rates stipulated in the collective agreement vary from rates stated in this posting, the rates stated in the collective agreement shall prevail. Preference in hiring is given to qualified individuals advanced to the rank of Sessional Lecturer II or Sessional Lecturer III in accordance with Article 14:12 of the CUPE 3902 Unit 3 collective agreement. Please note:  Undergraduate or graduate students and postdoctoral fellows of the University of Toronto are covered by the CUPE 3902 Unit 1 collective agreement rather than the Unit 3 collective agreement, and should not apply for positions posted under the Unit 3 collective agreement.