Have you noticed the trend? In September, we introduced the Content Audit Tool (CAT) to target unused artifacts. In October, we deleted old courses in Canvas and aging media in Kaltura . The downsizing has begun, and the benefits are real: Usability improves when relevant material is easier to find Accessibility efforts are not wasted on out-of-date content The institutional dividends are legion: a reduced security exposure a lower administrative burden But decluttering is more than a one-time initiative; it's an ongoing mindset. Like moving from a large rural house to a small urban apartment, your lifestyle needs to adapt. And so it is with learning technologies. Here are some recommendations for adapting to living in a digital world where content has a lifecycle. Maintain a Canvas "Foundation" Course Does this sound familiar at all to you? At the start of the term, you click Import Existing Content , and pull all of last semester's materials into y...
As generative AI tools become ubiquitous in higher education, instructors across disciplines are grappling with a core challenge: How do we authentically capture student learning when an AI can generate a polished essay, summary, or response to prompts in seconds? While detector tools often prove unreliable or punitive, pedagogical redesign offers a far more sustainable solution. Rather than focusing solely on detecting AI usage at the point of submission, AI-resilient course design focuses on making the learning process visible, collaborative, and reflective. FeedbackFruits offers a suite of learning tools integrated directly into Canvas that helps shift the focus from final product to active engagement. Read on to learn how you can use FeedbackFruits to build assignments that foster genuine student learning in the age of AI. What Makes a Learning Activity "AI-Resilient"? AI-resilient learning activities tend to share three core characteristics: Assignments that focus...