Artificial Intelligence in Teaching & Learning

In Spring 2023 the Cleveland Teaching Collaborative was pleased to partner with the Center for Faculty Excellence for a Cleveland State University Faculty Learning Community (FLC) on “Artificial Intelligence in Teaching in Learning.”

30 CSU faculty members met regularly to discuss the potential and challenges of AI tools in our classrooms. Their public findings are published here

Cleveland Teaching Collaborative Research Assistants Riley Habyl and Sarah Ziemer supported the group by curating resources from the FLC into a collection of AI-related teaching resources in the CTC Resource Referatory. Check them out here: There were over 140 resources at the time of this writing.

Here are the highlights with clickable graphics created by Dr. Melissa Clark:

Graphic tile with text: What are the Challenges of AI in Higher Education? How do we cite it? Is AI Plagiarism? How do we continue to support students' critical thinking? Is it accurate?
Graphic including the text: How can we use AI to teach writing and critical thinking? Promote a productive struggle and approach the teaching of writing as a process. Scaffold assignments. Solicit personal and reflective pieces of writing.
Graphic with text: How can AI be used as a tool, not a crutch? Model critical thinking in the classroom by evaluating AI output. Use AI output as a first draft. Make the prompt personal. Teach AI as a tool for job readiness.
Graphic with text: How can college students with diverse neurotypes harness AI? Learners with ADHD, anxiety, autism, and bipolar disorder can use AI to: break Assignments down into smaller parts; writing focused emails; develop social scripts; self-motivate.
Graphic with text: How are learners and workers using AI? Refining processes like brainstorming and troubleshooting. Producing deliverables like emails, invoices, emails, and blog posts.
Graphic with text: What should I write on my syllabus? Every class is different. There will be no one-size-fits-all syllabus statement. We have some examples to get you started.
Graphic with text: How do we envision the future of AI in higher ed? It's here to stay, so we need to prepare students to use it appropriately and critically. AI also has the potential to promote equity by providing all students with individualized learning.

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