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CELT Forum on AI in Teaching and Learning

CELT closed out the semester with a session exploring the future of AI in higher education. The session included conversation around the lingering questions about AI, responsible use, and its impact on assignment design strategies. The forum also included a brief demo of Bing AI's chatbot powered by GPT-4 with example uses for instruction. You can view the recording here.

Forum on AI in Teaching and Learning: Looking Back, Looking Ahead

The rapid developments in generative AI this semester leave us with complex and nuanced questions about student learning, the production of knowledge, assessments and teaching strategies, course policies and communications, and academic integrity. Join us for a conversation that takes the experiences from this semester to look ahead towards the next.

Ignite Learning: Feedback for Learning

At the heart of the matter, learning requires instructors to provide feedback. Yet, instructors often struggle with figuring out when to give feedback, what types of feedback work best in different situations/settings, and how best to frame feedback so students are more likely to take action to improve their learning and/or the quality of their deliverable. In this Zoom session, we explore these areas with the dual purpose of leveraging the valuable time of instructors in ways that will likely lead to learning. Format: 30 minute info Session followed by an optional Q+A session

AI and Writing-Based Assessment Forum

Over the last few months, the conversation around AI-based writing tools such as ChatGPT has grown in volume and concern. This open forum will consider AI-based writing tools in the context of how and to what ends we assign writing-based assessments in our courses across the disciplines. Participants are encouraged to bring their questions, ideas, and experiences to the discussion.

Assignment Design Lab

For this hands-on session, bring an assignment that you'd like to work on. We'll apply principles of Design Thinking and University Design for Learning to strive for transparency and meaning so that the assignment sets students up for engagement and success.

Assignment Design Lab

When the deadline approaches for a major assignment, have you been barraged by students asking clarifying questions or requesting extensions? Have you been perplexed by what students submitted? For this collaboratory, we ask that you bring an assignment so that together we will apply Design Thinking and Universal Design for Learning principles to make the assignment more transparent.

Student Panel: What Makes Major Assignments & Exams Meaningful?

Since March 2020, we have adjusted our approaches to assessment to account for the phases of the pandemic and provide students with fair opportunities—in the face of often-overwhelming challenges—to show us what they've learned (and to prompt learning in the first place).

Transparent Assignment Design

Students produce higher quality and more creative products when they clearly understand the assignment’s purpose, the tasks involved in successfully completing the assignment, plus the criteria upon which they will be graded. When gaps exist in our instructions, students flood us with questions as the deadline approaches and/or submit products that do not meet our expectations. We may unintentionally generate these gaps when our disciplinary expertise hinders us from identifying all the skills and knowledge novices need to complete complex assignments.