Sessional Lecturer - LHA: Ed Tech, AI and Education

Sessional Lecturer – LHA
5822H:
Special Topics in Higher

Education:

Master's Level: Ed Tech, AI and Higher Education

Date Posted: 06/23/2026

Req : 48979

Faculty/Division: OISE

Department: Dept of Leadership, Higher & Adult Educ.

Campus: St. George (Downtown Toronto)

Sessional Lecturer – LHA
5822H:
Special Topics in Higher

Education:

Master's Level: Ed Tech, AI and Higher Education

This course will explore how higher education institutions are transforming (or not) in an era of generative artificial intelligence (GenAI) including teaching, research, service, administration and infrastructure, grounded in historical contexts of technology in post‑secondary education more generally.

Through seminar‑style discussions, a series of site visits, and invited guests, we will explore the impact of artificial intelligence on teaching, knowledge production, and institutional operations, raising questions about research ethics, authorship, reproducibility, and disciplinary norms, as well as finances, sustainability, mental health and policy, etc.

In the classroom, AI systems increasingly influence pedagogical design, assessment practices, academic integrity, adaptive feedback and student engagement. Higher education faces both unprecedented opportunities and complex challenges, which we will explore together. At the same time, we will also explore the growing impact of AI on institutional service and academic leadership, including faculty governance, committee work, communication practices, and strategic planning.

Each one of these topics would warrant its own full course, so this will be, by necessity, a survey course. However, by the end of the course, the goal will be to have participants equipped with enough core learning to begin to assess GenAI’s institutional implications and a grounding to explore specific topics in more detail, and develop informed strategies towards responsible implementation, and contribute thoughtfully to the future of higher education in an AI‑augmented world.

25 students

No

Monday 13:00 – 16:00 (In Person)

September 1, 2026 to December 31, 2026

Candidates must hold a doctorate in Higher Education or a related field; have a demonstrated record of scholarship in the field of Higher Education, educational technology, AI and the subject area of this course in a post‑secondary setting; have practical experience related to the topic of the course in a post‑secondary institution; and have teaching experience in the subject area of the course.

n/a

Prepare, organize, and lead this graduate half course; be available to students seeking assistance between classes; and evaluate student work and provide students with feedback.

• Pay for half course, vacation pay included: $9,820.70 – Sessional Lecturer I
• $10,510.04 – Sessional Lecturer I – Long Term
• $10,510.04 – Sessional Lecturer II
• $10,760.28 – Sessional Lecturer II – Long Term
• $10,760.28 – Sessional Lecturer III
• $11,030.36 – Sessional Lecturer III – Long Term

Pay rates stated above are ``subject to the collective agreement; if rates stipulated in the collective agreement vary from rates stated in this posting, the rates stated in the collective agreement shall prevail.

07/14/2026, 11:59 PM EDT

The University of Toronto embraces diversity and is building a culture of belonging that increases our capacity to effectively address and serve the interests of our global community. We strongly encourage applications from Indigenous Peoples, Black and racialized persons, women, persons with disabilities, and people of diverse sexual and gender identities. We value applicants who have demonstrated a commitment to equity, diversity and inclusion and recognize that diverse perspectives, experiences, and expertise are essential to strengthening our academic mission.

As part of your application, you will be asked to complete a brief Diversity Survey. This survey is voluntary. Any information directly related to you is confidential and…