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Justin T. Dellinger, Ph.D.

Justin T. Dellinger, Ph.D.


Office: Blocker 232 / Nagle 305

Resume / CV

Dr. Justin T. Dellinger is the Director of Digital Learning in the Center for Teaching Excellence (CTE) at Texas A&M University. In his role, he provides leadership for the university's digital learning environment including governance, communication, learning tools integrations, and professional development/training. Additionally, Dr. Dellinger helps lead the day-to-day operations of CTE as well as the center's commitment to innovating teaching and learning through emergent technologies such as artificial intelligence and learning analytics.

Prior to joining Texas A&M University in September 2022, Dr. Dellinger co-led the first fully- online, global master's program in Learning Analytics in the Department of Psychology at the University of Texas at Arlington (UTA). He also served as Associate Director for the Learning Innovation and Networked Knowledge (LINK) Research Lab in the Center for Research on Teaching and Learning Excellence at UTA. He has experience as an instructional designer/programmer and teaching K-12, undergraduate, graduate, and open online courses. Additionally, Dellinger has also served as co-lead for the Digital Learning Research Network and Learning Analytics Learning Network.

Dr. Dellinger received his Ph.D. in Educational Leadership and Policy Studies where he investigated the adoption of analytics and large-scale learning data in K-12 school districts. Prior, he earned his Bachelors of Arts in History and Spanish as well as a Master of Arts in History. Dellinger enjoys being outdoors including hiking, camping, sports, and walks with his family and dog.

Research Focus:

  • Technology Adoption
  • Learning Pathways
  • Generative AI
  • Faculty Development

Area of Expertise:

  • Digital Learning
  • Learning Analytics
  • AI in Education
  • Learning Design
  • Organizational Leadership and Change
  • Faculty Professional Development

Leadership & Service: 

  • Digital Learning Environment Advisory Group
  • AI in Learning and Education Committee