This interactive workshop explores how generative AI can support the course design process from start to finish. Participants will examine the course design cycle, identify key opportunities for AI integration, and consider the value these tools bring to course planning. Attendees will leave with strategies for using AI to design a course. Organized by the […]
Organized by the Center for Teaching Excellence. This hands-on workshop guides instructors through the principles of personalized learning, emphasizing intentional design and learner agency. Participants will explore strategies for engaging students as co-designers in their learning journeys and discover how generative AI tools, especially those available through Texas A&M University, can support differentiated instruction and […]
Richard G. Baraniuk is the C. Sidney Burrus Professor of Electrical and Computer Engineering at Rice University and the Founding Director of OpenStax and SafeInsights. His research interests lie in new theory, algorithms, and hardware for machine learning, signal processing, and sensing. He is a Member of the National Academy of Engineering and American Academy of Arts […]
Organized by the University Libraries. This workshop introduces instructors to open licensing through Creative Commons and details the six licenses and their permissions that allow use, reuse, and revision without violating copyright laws. Participants will also see how these licenses allow material with Creative Commons licenses to be ingested into AI tools to create ancillary […]
TAMIDS is a proud sponsor of the Texas A&M Department of Geography’s annual GIS Day conference! This conference is five days of workshops, demonstrations, and programs celebrating the advancement of geospatial technology.
This workshop highlights the importance of aligning course learning outcomes with content and demonstrates how generative AI tools can support this process. Participants will review the purpose of learning outcomes, evaluate alignment strategies, and explore practical ways to use generative AI to enhance alignment. Participants are encouraged to bring a syllabus to use during the […]
Organized by the Center for Teaching Excellence. This workshop introduces instructors to the principles of student-centered learning experience design, with a focus on integrating generative AI tools available at Texas A&M University. Participants will explore how generative AI can support personalized, engaging, and enhanced learning environments, and will apply these insights to design a student-centered […]
Dr. Tyler Prochnow is an Assistant Professor of Health Behavior in the School of Public Health at Texas A&M University. His research interests include the social dynamics that drive health behaviors. Dr. Prochnow has done work with local Boys & Girls Clubs, health districts, gaming communities, and other research projects to better understand how social […]
Organized by the Center for Teaching Excellence. This hands-on workshop guides instructors through the principles of personalized learning, emphasizing intentional design and learner agency. Participants will explore strategies for engaging students as co-designers in their learning journeys and discover how generative AI tools, especially those available through Texas A&M University, can support differentiated instruction and […]
ATTENTION PARTICIPANTS — The event has been moved online. Check your email for more details. The Machine Learning for Microscopy Hackathon accelerates the use of AI in microscopy and materials research. By connecting microscopy and machine-learning communities, we foster collaboration, open science, and reproducible workflows for imaging, spectroscopy, and automated experimentation. Global Hybrid with In-person at […]
A one-week training and team-formation summit and linked seed grant initiative to catalyze interdisciplinary teams, translate advanced AI into novel solutions, and support seed projects for future extramural funding. MISSION To bridge foundational and use-inspired AI research across Texas A&M by pairing AI method experts with domain researchers in structured ideation via a unique, linked […]
Thursday, January 15th, from 2:30 PM – 3:30 PM in Heep 440 and MS Teams. Abstract The rapid digitalization of agriculture has made data—such as drone imagery for crop monitoring, soil sensor outputs, seed genetics, and livestock genomic profiles—central to productivity and innovation. Yet, this dependence introduces new cybersecurity risks. Breaches involving seed database manipulation, […]
