Learning Objective Automated Gap Analysis


Creating pathways between programs at different institutions has historically been an expensive and time consuming task. With the Learning Objective Automated Gap Analysis project, we look to provide assistance to this problem to cut down on costs to post-secondary institute administration, as well as students and government. By using Natural Language Processing techniques, we can semantically analyse the course outlines from programs at different institutes, and provide feedback to administration on what courses are the most similar.

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Contributors


Mr. Sahib Singh Budhiraja

Research Assistant

Mr. Daniel Kivi

Research Assistant

Mr. Atish Pawar

Research Assistant