Tea for Teaching

Given the widespread availability of generative AI tools, traditional assessments of learning conducted in an unproctored environment have become unreliable indicators of student learning. In this episode, Jason Gulya joins us to discuss the potential benefits of shifting our focus to the process of learning. Jason is Professor of English and Media Communications at Berkeley College, where he also chairs the AI and Academic Integrity Committee. He is a co-author of Artificial Intelligence, Real Literacy: a practical guide to using AI for evidence-based literacy practices in education, and is currently writing a book on process-focused teaching in the age of AI, for Oklahoma University Press. Show notes and the transcript for this episode may be found at http://teaforteaching.com.

Keeping up with the rapidly expanding capabilities of generative AI platforms is challenging, especially at campuses with heavy teaching loads and limited resources. In this episode, Racheal Fest joins us to discuss a multicampus AI professional development project that addresses some of these challenges. Racheal is a pedagogy specialist at the Faculty Center for Teaching, Learning, and Scholarship at the State University of New York at Oneonta. She also teaches writing courses in the English Department there. Racheal was a principal investigator on two SUNY multi-campus grants focused on faculty development related to AI. Show notes and the transcript for this episode may be found at http://teaforteaching.com.

Providing students with multimodal content can increase student learning, but creating such material can be costly and time consuming. In this episode, Oliver Steinbock joins us to discuss how he has used AI tools to generate songs and lyrics to support student learning. Oliver is the Cottrell Family Professor in the Department of Chemistry and Biochemistry at Florida State University, who specializes in research in physical chemistry and materials science. Show notes and the transcript for this episode may be found at http://teaforteaching.com.

Generative AI has disrupted familiar approaches to teaching and assessment, but also created new opportunities to reconsider what, and how, we want students to learn. In this episode, Travis Thurston and Beth Buyserie join us to discuss ways of using AI productively in our classrooms by shifting the focus of learning assessment from product to process. Travis is the founding Director of the Center for Empowering Teaching Excellence at Utah State University. Beth is an Associate Professor of English and the Director of Composition at Utah State University. They are co-editors of Teaching and Generative AI: Pedagogical Possibilities and Productive Tensions. Show notes and the transcript for this episode may be found at http://teaforteaching.com.

Neurodivergent students bring varied strengths, needs, and ways of thinking to our classrooms. In this episode, Sarah Silverman joins us to discuss teaching strategies that reduce access friction, increase tolerance for error, and create more inclusive learning experiences for everyone. Sarah is an educator and faculty developer focusing on neurodiversity, disability studies, and inclusive instructional design. She currently teaches disability studies at multiple institutions. Sarah is the author of Classroom Mindscapes: An Introduction to Neurodiversity for Educators, which will be released later this month as part of the Teaching, Engaging, and Thriving in Higher Ed series at the University of Oklahoma Press. Show notes and the transcript for this episode may be found at http://teaforteaching.com