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Artificial Intelligence in the Sport Marketing Classroom

Anton Schulz et al.

Sport Management Education Journal2026https://doi.org/10.1123/smej.2024-0033article
ABDC C
Weight
0.50

What the paper says

Artificial intelligence has become an integral part of various industries, including education and sports. Although significant research has explored artificial intelligence applications in higher education, little attention has been given to its specific role in sport marketing education. This study explores practical, theory-driven applications of artificial intelligence in undergraduate sport marketing classrooms, addressing a critical gap in sport education literature. By integrating collaborative learning, critical pedagogy, and experiential learning theories, this study provides actionable strategies and a lesson plan for instructors, benefiting students, educators, and program directors alike. These insights aim to better prepare students for the rapidly evolving demands of sport marketing professions.

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Cite this paper

https://doi.org/https://doi.org/10.1123/smej.2024-0033

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@article{anton2026,
  title        = {{Artificial Intelligence in the Sport Marketing Classroom}},
  author       = {Anton Schulz et al.},
  journal      = {Sport Management Education Journal},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1123/smej.2024-0033},
}

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Artificial Intelligence in the Sport Marketing Classroom

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.