Student Motivation in the Age of AI: A Discussion on Creating Assessments that Matter

Many faculty, instructors, and instructional designers strive to develop meaningful activities and assessments that students actually want to complete. Peer review is an effective way to create opportunities for students to truly engage with richer course content and their classmates. Now, with the rise of generative AI, educators must consider additional factors when it comes to motivating students to think for themselves and engage with a community of ideas. Could peer review be the scaffold that helps instructors cultivate critical thinking even in the biggest courses? 

Please join our two presenters, Dr. Chris Schunn and Dr. Ryan Straight, who will discuss peer feedback in the age of generative AI. Dr. Schunn will begin with a brief overview of relevant research and effective practices for peer review using leading-edge learning technology, and Dr. Straight will address key considerations related to generative AI, assessment, and peer feedback. Then, both presenters will participate in an engaging reflective panel discussion, answering questions from a moderator and the audience. This thought-provoking webinar is one you don’t want to miss!

Intended Audience: 

Faculty and instructors; instructional designers

This webinar is sponsored by Peerceptiv

Speaker Bio
Dylan Barth
Dylan Barth, Ph.D. (Moderator)

Vice President of Innovation and Programs – Online Learning Consortium

Dylan Barth is the Vice President for Innovation and Programs. Dylan provides strategic vision and oversight for professional development, consulting, research and publications, and the Quality Scorecard Suite at OLC. He has 20+ years of experience teaching in higher education and 12+ years working in faculty and instructional development. Dylan holds a Ph.D. in English from the University of Wisconsin-Milwaukee with an emphasis on masculinities in contemporary post-apocalyptic fiction.
Christian Schunn, Ph.D.

Senior Scientist, Learning Research & Development Center – University of Pittsburgh

Christian Schunn is a Senior Scientist at the Learning Research and Development Center and a Professor of Psychology, Learning Sciences, and Intelligent Systems at the University of Pittsburgh. His current research interests include web-based peer interaction and instruction, improvement science applied to instruction, STEM learning, and engagement and learning. He is currently Editor-in-Chief for Educational Designer, as well as a Fellow of several scientific societies (AAAS, APA, APS, ISDDE).
Ryan Straight, Ph.D.

Assistant Professor, Cyber, Intel, and Information Operations – University of Arizona

Dr. Ryan Straight is an Honors and Assistant Professor in Cyber, Intel, and Information Operations in the College of Applied Science and Technology at the University of Arizona. He directs the college’s first and only research laboratory, the Mixed Augmented ViRtual eXtended Reality (MA{VR}X) Lab. He received his doctoral degree in Instructional Technology in 2015 from Ohio University and in 2023 completed an MS Cybersecurity degree from the University of Arizona. He teaches classes on data science, human-computer interaction, and cyber ethics, as well as his yearly Honors seminar, “Cyborgs and Transhumanism.” In his capacity as lab director, Ryan oversees or supports over a dozen ongoing research projects at any given time with student research assistants from across the university. His research focuses on online learning, cybersecurity, posthuman inquiry, and applied postphenomenology.