Google is on a national college campus tour and will visit Texas A&M in partnership with the Office of the Provost and Technology Services! Come explore how our AI tools (that are already available with your school email) can help supercharge your creativity and boost your productivity.
For faculty and staff with no prior experience in AI and a limited technical background. Participants will receive an introduction to AI principles, the strengths and limitations of GenAI tools, and learn how to use No-Code tools and methods to leverage AI. Organized by the Institute of Data Science.
The Texas A&M Energy Research Society is hosting the 9th annual Conference on Energy at the Memorial Student Center on September 25th and 26th. This year’s theme is “Engineering, Science, and Policy Pathways to a Resilient Energy Future.” They are now accepting abstracts from undergraduate and graduate students, postdoctoral researchers, and faculty working in fields […]
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 […]
Dr. Seung Won Yoon is the president of the Academy of Human Resource Development for the 2024–2026 term. His research focuses on enhancing both employee and organizational growth by integrating leadership, learning, knowledge sharing, and technology. He passionately applies frameworks from social capital, network science, and data analytics to achieve these goals. He also served […]
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 […]
GRAILE AI Learning Opportunity – Empower Learners for the Age of AI (ELAI) is the premier conference globally investing the research and practice around AI adoption in schools, universities, and corporate settings.
Dr. Shan Xu is an Associate Professor in the Department of Public Relations and Strategic Communication Management at Texas Tech University. Her research adopts a dynamic, longitudinal lens to investigate human-technology interaction in organizational, health, and science communication contexts. Her work has been published in journals including Journal of Communication, Communication Research, Human Communication Research, […]
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 […]
For faculty and staff with a technical background who are interested in deepening their understanding of Generative AI (GenAI) and its applications. Participants will explore the distinctions between GenAI and traditional AI, critically evaluate popular tools, and analyze their strengths and limitations. Organized by the Institute of Data Science.
Dr. Youngsoo Choi is a staff scientist at LLNL’s Center for Applied Scientific Computing, where he develops efficient foundation models for computational science. His research focuses on creating surrogates and reduced-order models to accelerate time-critical simulations in areas such as inverse problems, design optimization, and uncertainty quantification. He has pioneered advanced ROM techniques, including machine […]
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 […]
