Large Enrolment Snapshot
Enhancing Accessibility and Integrity in Assessments within Large Enrolment Courses
What is it about?
This snapshot provides insights and best practices for optimizing academic assessments and accommodations in large enrolment courses. Dr. Brenda McDermott, Senior Manager of Student Experience and Student Accessibility Services provided an overview of the current support offered and noted some strategies regarding best practices for educators.
The Exam Center faces capacity limitations and a significant increase in demand for accommodated exams.
- Instructors should submit their exams to the Exam Center as early as possible, including a day before the exam, especially for large enrolment classes.
- Early submission of exams allows the Exam Center to effectively manage resources and ensure that all students have access to the appropriate accommodations.
Participants and Dr. McDermott discussed best practices for administering online quizzes in large enrolment courses, focusing on accessibility and academic integrity. Key strategies included:
- Coaching students on how to approach online quizzes, including strategies for managing time and avoiding distractions.
- Exploring the use of tools like Top Hat to provide practice and engage students in a format that simulates online quizzes.
- Considering Universal Design principles and provide additional time for online quizzes to reduce the need for individual accommodations.
Participants highlighted the challenges of balancing accessibility and academic integrity in online assessments, particularly with the increasing use of AI tools by students. Specifically, they shared concerns about students using AI to answer quiz questions, potentially undermining the assessment's validity. Key strategies to mitigate this included:
- Using images with clean metadata and incorporating visual representations or mind maps in assessments
- Ensuring clear communication and guidelines for students regarding the use of AI tools in assessments
- Using GradeScope can help instructors save time and improve the overall grading process for large classes while still ensuring that quiz questions are challenging for current AI technology to answer accurately.
This summary was compiled by: Raisa Jivani, Graduate Research Assistant, as part of the work completed by the Taylor Institute for Teaching and Learning at the University of Calgary.

Contributors: Lorelei Anselmo, M.Ed., Dr. Sreyasi Biswas, PhD, Dr. Jennifer Jackson, PhD, Raisa Jivani, EdD Candidate, Dr. Brenda McDermott, PhD, Dr. Amanda Musgrove, PhD, Dr. Annette Tézli, PhD
Prepared by: Raisa Jivani, EdD Candidate, Lorelei Anselmo, M.Ed, Dr. Sreyasi Biswas, PhD.