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Summary

Robust credit recognition practices encourage students to pursue further studies and shape their futures. And recent research indicates that applicants choose postsecondary institutions in part based on the timeliness and ease of credit recognition processes.    

Staff and faculty in registrar’s offices, advising roles and academic programming report that seamless credit recognition is hindered by varied course outline and syllabus formats, limited availability of course information, differing approaches to curriculum design and the time and labour required to conduct curriculum comparisons. These hindrances create uncertainty in applicant decision-making and affect students’ time to completion. For the institution, inefficiencies like these are leaks in the enrolment pipeline. Resolving them means creating more opportunities for potential students.  

In this Connect + Learn session, ONCAT’s Leah Bernardo-Ciddio, Data Services Manager, and Daphne Bonar, Director of Programs and Engagement, facilitate a strategy session aimed at improving credit recognition by aligning approaches and sharing tools.

What you will learn from this presentation:

how a standardized approach can strengthen inter‑rater reliability and support more equitable credit recognition 
how program standards and learning outcomes can be used to assess curriculum efficiently, regardless of differences in course content 
how PathwAI, ONCAT’s AI-assisted curriculum analysis tool, might be harnessed to identify alignments, gaps and areas for credit recognition by comparing learning outcomes and course content across institutions.  
practical principles that staff and faculty can use to assess courses for alignment

View the recording of this Connect and Learn. You can also view the presentation deck below.