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Insights Quality Check for Canvas Outcomes checks the outcome against standard models like Bloom’s taxonomy and the expected knowledge in the domain, identifies common errors in the learning outcome authoring, and recommends a better expression of your learning outcome based on your institution’s outcome quality configuration.
For example, the tool may recommend replacing the word “learn” in an outcome with “demonstrate understanding” to align with the comprehension level in Bloom’s Taxonomy. Insights always provides an explanation for the change—and leaves it entirely up to the author whether to accept, modify, or reject the recommendation. eLumen believes that the use of AI tools should be optional, come with some form of “show your work” user experience, and have the ability to reject the recommendation.
This AI-driven tool uses GPT-4, which is generative AI. This kind of AI learns the patterns and structures in training data to create new data that resembles the training data. This quality tool is one of the native features of Insights for Canvas Outcomes that helps institutions improve instruction and ease the workflow for faculty and staff. eLumen is excited to make it available to all Canvas customers.
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