Assessment in the Age of Generative AI

This session focuses on an interactive discussion of the issues and impact of generative AI on university assessments, along with their benefits and challenges. Assessments are a critical component of the teaching and learning process, allowing instructors to evaluate student learning outcomes, diagnose learning difficulties, and provide feedback. Assessments also demonstrate what is important for students to learn and provide them with valuable feedback on their progress. The emergence of generative AI has the potential to revolutionize the way universities assess student learning. While generative AI can create personalized assessments that are tailored to individual student learning outcomes and support diversity and inclusion, there are also concerns about authenticity, integrity, and bias in their use. These tools can be used to scaffold learning but can also be used by students to shortcut valuable steps in the learning process, resulting in a lack of deep learning opportunities. Universities need to rethink their approaches to student assessments given generative AI and using a framework that focuses on integrity, wellness, and appropriate pedagogy. By doing so, educators can leverage this technology to prepare better university assessments and provide all students with important skills for their lifelong learning.