Generative AI for Assignments, Projects, and Assessments
Learn practical skills and takeaways
In an era where Generative Artificial Intelligence (GAI) is increasingly becoming a part of our daily professional and personal lives, understanding how to effectively interact with these systems is crucial. This workshop is designed to equip participants with practical skills and insights for engaging with GAI interfaces, specifically focusing on optimizing the quality of results, integrating GAI outputs into user responses, and adhering to ethical citation practices.
This workshop is being hosted by the Graduate Program in Geographic Information Systems. Friends of the program are welcome to join virtually.
Speaker Bio:
Paul D. Miller, Ed.D., has extensive experience in STEM instruction; K-16 curriculum development; instructional design and teaching methodologies; project evaluation; inclusive professional learning/development; instructional technology integration; instructional systems development; program implementation fidelity and evaluation; and over $34 million in federal and state grant facilitation and management. He has worked with school systems in 28 states and presented internationally at conferences on cooperative learning models, systems theory and coaching, scaling programs with fidelity, effective leadership practices, professional development, competency-based learning, and technology integration to support teaching and learning. Dr. Miller is the Professional Development Director for the Office of E-Learning Innovation and Teaching Excellence at Montgomery College and holds an Ed.D. focusing on Instructional Design for Online Teaching and Learning from Johns Hopkins University and an M.A. in Instructional Systems Development from the University of Maryland, Baltimore County.
Agenda:
Introduction to Workshop
Prompting GAI Interfaces to Retrieve Better Results
How to Integrate GAI Output into the User’s Responses
When and How to Cite the GAI Reponses
Q & A on Presented Topics
Open Discussion