Ai-Chu Elisha Ding

Assistant Professor, Department of Workforce Education and Instructional Technology
Assistant Professor, AI4STEM Education Center

Dr. Ai-Chu Elisha Ding teaches graduate courses in the Learning Design and Technology program. Her research centers on innovative and equitable approaches to technology integration and professional development within K-12 education. She has focused particularly on supporting multilingual and struggling learners in STEM disciplines through the use of emerging technologies and pedagogies, including virtual reality (VR), game-based learning (GBL), and artificial intelligence (AI).

Dr. Ding’s work also explores the multimodal and translanguaging affordances of new technologies for enhancing learning among multilingual students. She collaborates extensively with both pre-service and in-service teachers to improve their capacity for effective technology integration. Her previous grant, sponsored by the Indiana Department of Education, supported middle school STEAM teachers in designing and incorporating GBL and VR to promote student collaboration and multimodal meaning making. She currently serves as chair of the Technology as Agent of Change for Teaching and Learning (TACTL) Special Interest Group of the American Educational Research Association (AERA).

Education:
  • Dual Major Ph.D. in Instructional Systems Technology & Literacy, Culture and Language Education, Indiana University-Bloomington, 2018
  • M.A. in Educational Studies, University of Michigan, 2011
  • B.A. in Foreign Languages and Literatures, National Taiwan University, 2009
Research Interests:
  • Innovative and equitable technology integration in K–12 education
  • Teacher professional development for technology use
  • Game-based learning (GBL) in STEM education
  • Virtual, augmented, and mixed reality for learning
  • Technology-mediated multimodal learning for multilingual and struggling learners
  • Video case–based teacher reflection

IAI Interdisciplinary Research Seed Grants Program

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UGA's InfoReady system (online)

The Institute for AI (IAI) is pleased to launch its second interdisciplinary seed grant program for this fiscal year. Our aim is to seed multi-disciplinary teams of IAI faculty with resources so that they can execute inter-disciplinary research projects that can lead to large extramural research grants.

For more information on the Research Seed Grant Program, please click here.

Seed Grant proposals are due by Saturday, November 15th, 2025 at 11:59pm EST. Please submit your Proposals to UGA's InfoReady system.

 

 

Ethics Week Lecture: Responsible AI for the Future of Work

Arun Rai
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Richard B. Russell Building Special Collections Libraries auditorium

The University of Georgia’s annual Ethics Week Lecture will be delivered by Arun Rai, a distinguished scholar who has studied digital innovations in organizations and communities for more than 35 years.

Rai's work focuses on responsible artificial intelligence usage for the future of work, while exploring the intersection between research, education and policy. He currently serves as a Regents’ Professor and the Howard S. Starks Distinguished Chair in the J. Mack Robinson College of Business at Georgia State University, and he co-founded and directs the Robinson College’s Center for Digital Innovation.

The event is free and open to the public, but registration is encouraged.

For more details, click here.

Arun Rai
Georgia State University

Artificial Intelligence in Livestock and Poultry Symposium

A flyer for the AI in Livestock and Poultry Farming event
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University of Georgia Center of Continuing Education

Institute for AI is co-organizing a symposium with College of Agriculture departments to start a conversation about topics of AI integration in the field of precision livestock farming (PLF). Sessions include discussion panels, talks by top PLF scientists, and more.

UGA College of Agricultural and Environmental Sciences

Mozilla Foundation Fireside Chat: AI and Ethics - Choices That Matter

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Virtual

Moderator: Tapan Kamdar, Sr. Director, Product Management, Search & AI
Panelist: Professor Prashant Doshi and Dr. Kimberly Van Orman
Duration: 30 minutes

Session Goal

Explore the role of ethics in AI development, bridging academic insights and industry practice. Provide developers and product leaders with practical, thoughtful perspectives on why ethics matter.

Prashant Doshi
Institute for AI
UGA

Align & Engage: Spotlight on New IAI Fellows

Spotlight on a figure in front of a crowd
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Tate Student Center 137

AGENDA

 

  • 2:00pm Welcome 
    Fellows & students, speakers networking over refreshments

     

  • 2:25pm Keynote
    Insight logo
    AI in Practice, Steven Strickland, Hayden Holland, and John McSwain

Steven is a Senior Principal at Insight, a Fortune 500 solutions integrator, where he oversees market development and solution sales for 5G network infrastructure. In this role, he engages with enterprise and public sector clients to design, deploy, and manage networks that provide the high-speed, low-latency connectivity needed for AI, IoT, edge computing, and other operational use cases. Steven holds a BBA from Oglethorpe University, an MS in Management from the Georgia Technology, and a Master in Law from the University of Georgia. He is also a certified PMP. 

Hayden is a Cloud security & AI governance manager at SADA, an Insight Company, Hayden leads the security engineering team and leverages a decade of experience across the Cloud landscape. He specializes in partnering with clients to architect robust security solutions and bolster guardrails for AI adoption. Hayden holds a BS & MS in Information Systems from the University of Florida and maintains several GCP engineering certifications.

John is a technologist, educator, and entrepreneur with six degrees (an MBA and MS in CS from Georgia Tech, MS in Entrepreneurship from UF, MS in HCI from Iowa State, and M.Ed. in Educational Practice & Innovation from South Carolina). Since 2020, he has been at NVIDIA, where he currently serves as a Senior Solutions Architect working with Dell OEM and channel partners to demonstrate and design generative AI solutions—including NVIDIA AI Enterprise, NIMs, AI Workbench, Isaac Sim for autonomous mobile robots, and Morpheus—alongside GPU-accelerated platforms like Brev and Run:ai. Previously at NVIDIA, he worked as an engineer with NVIDIA Omniverse. John has also led innovation at Accenture, contributed to cloud solutions at AWS, and launched ventures across multiple industries, while teaching business programming and professional education at GT.

 

  • 3:20pm Spotlight on New Fellows 
    10 min talks each
    • Hee Yun Lee, Thomas P. Holland Distinguished Professor, School of Social Work
    • Akshat Lakhiwal, Assistant Professor of MIS, Terry College of Business
    • Zhen Xiang, Assistant Professor of Computer Science, Franklin College of Arts & Sciences
    • Tao Liu, Assistant Professor of Precision Forestry, Warnell School of Forestry
    • Jie Lu, Assistant Professor of Workforce Ed. & Instruction Tech., Early College of Education

 

  • 4:15pm Breakouts
    Working groups on convergence themes:
    • AI in Education
    • Ethics of AI
    • AI & Future of Health and Work
    • AI for 3F (Farm, Food, Forest)
    • AI for Cyber & Societal Security
     
  • 5:00pm Report out