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University of Phoenix Study on AI-Driven Science Education Wins Editor's Choice

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University of Phoenix Study on AI-Driven Science Education Wins Editor's Choice

Phoenix – September 26, 2026 -- A peer-reviewed study from University of Phoenix examining AI-supported storytelling in environmental science education has been named an Editor's Choice paper by the journal Glacies.

Study links AI-generated imagery to measurable gains in student engagement

The paper, "Harnessing AI, Virtual Landscapes, and Anthropomorphic Imaginaries to Enhance Environmental Science Education at Jökulsárlón Proglacial Lagoon, Iceland," was published in February 2026. It reports that 87.1% of surveyed students enjoyed the anthropomorphic narratives used in the course, while 82.0% agreed the approach reinforced systems thinking.

Course uses character-driven design to teach non-science majors

The research was conducted within University of Phoenix's "Principles of Environmental Science" course, which serves non-science majors and adult learners. The instructional model uses characters such as Nico Nitrogen, Remi Rock and Waverly Water to personify scientific processes, combining faculty-guided, human-centered AI imagery with narrative storytelling to make cryosphere science accessible without advanced prerequisites.

Five University of Phoenix scholars co-authored the recognized research

The study was authored by Jacquelyn Kelly, Ph.D., associate dean of the College of General Studies; Dianna Gielstra, Ph.D., and Tomáš J. Oberding, Ph.D., both full-time faculty in the Environmental Science Program; Jim Bruno, MBA, associate dean of the College of Business and Information Technology; and Stephanie Cosentino, MAEd, senior instructional designer.

Dean cites the recognition as validation of faculty-led AI research

"Recognition by Glacies as an Editor's Choice paper reflects the quality of scholarship being produced by our faculty and academic leaders," said Briana Houlihan, MBA, dean of the College of General Studies. She said the research contributes to broader conversations about teaching, learning and the role of technology in instructional design.

The authors describe the model as applicable to other courses serving working adults and non-science majors, positioning narrative-based AI visual development as a template for engagement in adult higher education programs.

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