University of Toronto

Sessional Lecturer - EDS285H5F The Future of Ed Tech: Active Learning Classrooms and AI

University of Toronto  •  Mississauga, CA (Onsite)  •  3 hours ago
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Job Description

Job Posting Sessional Lecturer - EDS285H5F The Future of Ed Tech: Active Learning Classrooms and Artificial Intelligence
This job is posted in accordance with the CUPE 3902 Unit 3 Collective Agreement.


Course number and title
EDS285H5F The Future of Ed Tech: Active Learning Classrooms and Artificial Intelligence


Course description

This course will explore research on emerging digital models, learning pods, platforms, apps and policies that seek to further customize, enhance and bring greater equity to education through technology. From the initiation of open courseware, to the inception of virtual reality, artificial intelligence, ALC classrooms, makerspaces and the “shared economy”, this course will foster a culture of digital innovation to investigate, accelerate, test and study new possibilities and advancements in the field of educational technology.

Estimated course enrolment 55

Estimated TA support None

Class schedule Wednesdays (3:00pm - 5:00pm)

Please see https://ttb.utoronto.ca/

[NOTE: The mode of instruction for this course is expected to be in-person However, if this changes for any reason, you will be provided with as much advance notice as practicable.]

Sessional dates of appointment September 1, 2026 to December 31, 2026

Salary

Sessional Lecturer I - $9,997.48 inclusive of vacation pay (0.5 FCE)

Sessional Lecturer I Long Term - $10,699.22 inclusive of vacation pay (0.5 FCE)

Sessional Lecturer II - $10,699.22 inclusive of vacation pay (0.5 FCE)

Sessional Lecturer II Long Term - $10,953.96 inclusive of vacation pay (0.5 FCE)

Sessional Lecturer III - $10,953.96 inclusive of vacation pay (0.5 FCE)

Sessional Lecturer III Long Term - $11,228.90 inclusive of vacation pay (0.5 FCE)

Please note that should rates stipulated in the collective agreement vary from rates stated in this posting, the rates stated in the collective agreement shall prevail.

Minimum qualifications

Completed Ph.D. in Education with expertise and specialization in educational technology is required.
Background in artificial intelligence, immersive technology, gaming, and virtual reality (VR) is required.

Preferred qualifications

Experience teaching this course, or a similar course at the university level, is preferred.

Preference in hiring is given to qualified individuals advanced to the rank of Sessional Lecturer II and SessionalLecturer III in accordance with Article 14:12.


of duties

All normal duties related to the design and teaching of a University credit course, including preparation and delivery of course content; out-of-class interactions with students via e-mail and office hours; development, administration and marking of assignments, tests and exams; calculation and submission of grades; ordering of all necessary readings; supervision of TAs (if any) assigned to the course.

Application instructions:

Please visit: https://tracs.utoronto.ca/dept/fgi/app/sl for detailed information on how to apply.

Applications must include:

  1. Cover letter (this should specify the way in which the applicant’s background and experience give them mastery of the topic)

  2. Current academic CV

  3. Most recent course evaluations (if any)

Please do not apply on this website; only applications submitted to website above will be considered.

Incomplete applications will not be considered.

Please note that an interview may be part of the hiring process.

This job is posted in accordance with the CUPE 3902 Unit 3 Collective Agreement.

Candidates who are members of Indigenous, Black, racialized and 2SLGBTQ+ communities, persons with disabilities, and other equity-deserving groups are encouraged to apply, and their lived experience shall be taken into consideration as applicable to the position.

The deadline to apply is July 21, 2026.

University of Toronto

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