Artificial Intelligence: Its Uses and Misuses in Class
Faculty across the United States have had a mixed reaction to Artificial Intelligence (AI) tools that are rapidly proliferating. Some wonder how to preserve the sanctity and rigor of their assignments, when AI tools might make cheating easy for students. Others hunger for ideas on how to incorporate AI tools into their assignments or teaching, under the assumption that AI is here to stay, including in the future workplaces of our students. In this interactive presentation we will address both points of view, offering separate toolkits for faculty to take either approach, or to forge a blended one.
Learn about the whole fall series here: hsistemhub.org/2023-workshops-fall-datascience/
Goals of the Workshop
The goals of this workshop are:
- Types of AI and how they work.
- AI adoption rates in the population and among college students.
- Student methods of cheating with AI and how to prevent them.
- Ways to use AI with assignments as a way to teach students AI fluency.
- The promise and challenge of AI for underserved communities.
Enrollment is free and is limited to 30 participants per workshop. It is hoped that the small workshop size will facilitate networking and promote collaboration across institutions by individuals who share common interests in research and education.
Participation priority is for current HSI faculty and staff who teach undergraduate STEM courses. Non-HSI faculty staff who teach undergraduate STEM courses are eligible to apply if they: 1) currently collaborate as PIs/co-PIs on a funded or pending NSF EHR/DUE grant that includes HSI faculty/staff as PI/co-PIs or 2) would like to network to find HSI partners for future collaborative projects in education or research. Admission priority is for faculty within the first 10 years of their first academic tenure-track appointment. Applicants should be aware that the selection decision is final and summary review are not provided.
Submit your application at this link: surveymonkey.com/r/h2023hub-ai-workshop
Upon completion of this workshop, attendees will be able to:
- Explain how large language model AI tools function.
- Describe how students can use ChatGPT to cheat on essays and on online tests.
- List countermeasures to prevent or de-incentivize LLM usage for cheating.
- Define AI fluency.
- Create student assignments that teach AI fluency for their future careers.
- Articulate the challenges and ideas for AI use with underserved populations.
Kevin is the Director of UCF’s Faculty Center for Teaching & Learning. He’s been active in educational development since 2004. He has also previously held 9-month faculty positions at Duke University, Pomona College, the University of Iowa, and the University of California-Irvine.
He earned his Ph.D. in German Literature from UC Irvine in 1997, and has taught a wide assortment of German language and culture courses, as well as many courses in general humanities, film, and cultural studies, with a particular emphasis on popular culture.
In the classroom, Kevin believes the science of learning provides a crucial foundation for instructors, influencing everything from course design and assessment structure, to classroom management and lesson planning. He is an avid believer in interactive teaching, and has curated a popular list of interactive techniques since 1992. More recently, he’s been developing resources for faculty related to AI Fluency and how to use ChatGPT in the college classroom.
His research interests within pedagogy are wide, and have included student motivation, study skills, and various emerging technologies for teaching. He is currently co-editing a book of case studies on the intersection of VR and ethics in the college classroom.
Workshop Sponsors and External Links