Faculty Liaison Coordinator, Generative AI Pedagogies

Date Posted: 03/19/2024
Req ID: 36598
Faculty/Division: VP & Provost
Department: Centre for Teaching Support & Innovation
Campus: St. George (Downtown Toronto)
Position Number: 00056276

Description:

About us:

The Centre for Teaching Support & Innovation (CTSI) provides leadership in teaching and learning at the University of Toronto and serves as the University’s central teaching “hub”. In a dynamic and highly collaborative environment, CTSI provides support for pedagogy and pedagogy-driven instructional technology for all teaching staff and teaching assistants across the University’s campuses and divisions. Its services include organizing special events and programming for instructors and teaching assistants related to a range of teaching topics, including educational technologies; conducting personalized and confidential consultations; offering job training and a certificate program for teaching assistants; supporting inquiry into teaching through the Scholarship of Teaching and Learning; providing pedagogical guidance for the use of the institutional learning management system (Quercus); and supporting the institutional online course evaluation system. Driven by the latest advancements in higher education practices and informed by emerging research in post-secondary teaching and learning, CTSI staff work directly with faculty, graduate students, departments and divisions and in partnership with a range of University offices to enhance teaching and learning across the institution.

Your opportunity:

Under the supervision of the Senior Manager, Teaching, Learning & Technology, the Faculty Liaison Coordinator, Generative AI Pedagogies provides a range of services to support the activities of the Centre for Teaching Support & Innovation (CTSI) and the Academic, Research & Collaborative (ARC) technologies group.

The Faculty Liaison Coordinator, Generative AI Pedagogies leads the development of educational programs and resources that have an impact across the entire University, from individual instructors to educational technology support teams working in faculties.

The focus of this role will be supporting the uptake of generative AI at the University in an evidence-informed manner, coordinating the curation and development of faculty development resources, as well as planning and delivery of synchronous and asynchronous programming.

The successful candidate will leverage their ability to work collaboratively across academic and technical disciplines, bringing a highly responsive approach to the emergent need for support for generative AI-enabled applications aimed at development of effective and inclusive pedagogies.

This role will assist with early-adopter pilot program implementation and evaluation as the University explores instructor responses to new generative AI-driven tools and applications as they become available to our teaching and learning community.

An important contribution of the successful applicant will be review of scholarly literature and other higher education sources to inform planning, as well as development and implement of an evaluation processes for teaching and learning initiatives leveraging generative AI.

This is an opportunity to join a talented and dedicated team of teaching and learning professionals and to help shape the University’s position as a leader in leveraging generative AI as a constructive pedagogy.

Your responsibilities will include:

• Developing and implementing components of instructional programs
• Developing instructional design plans for use in teaching contexts involving educational technologies (especially generative AI)
• Building and strengthening relationships with stakeholders and partners of strategic importance
• Planning and overseeing the implementation of an evaluation framework for assigned projects
• Advising instructors on strategies for developing and delivering curriculum, including alignment with principles of authentic assessment using generative AI
• Analyzing needs and recommending appropriate technologies for teaching/learning goals
• Developing and facilitating educational workshops and seminars
• Conducting systematic literature reviews

Essential Qualifications:

• Master's Degree or acceptable combination of equivalent experience.
• A minimum of 5 years experience developing and delivering pedagogical programming for faculty and staff, and experience providing consultations to faculty/staff on teaching and learning-related topics witha focus on educational technologies.
• Extensive experience coordinating the development of projects with multiple contributors and stakeholders.
• Proficiency in the use of learning management systems (LMSs) and other educational technologies.
• Expertise in instructional design principles and methodologies (e.g., ADDIE).
• Demonstrated experience supporting the use of generative AI (e.g., ChatGPT, Microsoft Copilot) in a teaching and learning context.
• Demonstrated experience supporting principles of Universal Design for Learning (UDL).
• Excellent public speaking and presentation skills, communication (oral and written) skills.
• Demonstrated knowledge of and familiarity with various educational technologies and pedagogical approaches.
• Excellent group facilitation skills.
• Excellent research skills, including conducting systematic and/or critical narrative reviews.
• Superior proficiency with Microsoft Office 365 Suite, including Excel, Forms, Stream, SharePoint, and Teams.
• Extensive experience supporting video conferencing in a teaching context.

Assets (Nonessential):

• Familiarity with the University of Toronto and knowledge of UofT policies and procedures that impact teaching and learning support a strong asset.
• Experience with Canvas LMS a strong asset.
• Familiarity with the Accessibility for Ontarians with Disabilities Act (AODA) and accessibility standards for digital content (e.g., WCAG) a strong asset.
• Familiarity with the Scholarship of Teaching and Learning (SoTL) a strong asset.
• Post-secondary teaching experience a strong asset.

To be successful in thisrole you will be:

• Communicator
• Organized
• Proactive
• Self-directed
• Tactful
• Team player

Note: This is an one year term position

This role is currently eligible for a hybrid work arrangement, pursuant to University policies and guidelines, including but not limited to the University of Toronto’s Alternative Work Arrangements Guideline .

Closing Date: 04/02/2024, 11:59PM ET
Employee Group: USW
Appointment Type: Budget - Term
Schedule: Full-Time
Pay Scale Group & Hiring Zone:
USW Pay Band 14 -- $88,290 with an annual step progression to a maximum of $112,911. Pay scale and job class assignment is subject to determination pursuant to the Job Evaluation/Pay Equity Maintenance Protocol.
Job Category: Administrative / Managerial
Recruiter: Fiona Chan

Lived Experience Statement
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 posted position.