Artificial Intelligence in Kinesiology: Advancing Student Learning and Faculty Work With Institutional Support

Artificial intelligence (AI) is rapidly reshaping education, research, and professional practice within kinesiology. While large language models offer powerful tools for generating text, identifying patterns, and supporting administrative tasks, they also introduce risks, including hallucinations, inaccuracies, and potential negative impacts on student learning. This review examines the evolving role of AI across three domains: student use, faculty and administrative adoption, and the institutional support structures required for responsible integration. We introduce the AI+ strategy, an iterative pedagogical approach that positions AI outputs as a baseline requiring critical human refinement. By developing AI literacy and fostering discipline-specific applications, kinesiology programs can maximize the benefits of AI while safeguarding academic integrity and enhancing essential human skills such as problem solving, cultural awareness, and ethical judgment.