Abstract
Artificial intelligence (AI) is becoming an integral part of both education and professional practice, and Sport Science is no exception. While AI is widely used by students for research purposes, its applications extend far beyond the classroom. In the field of Sport Science, AI-driven tools are revolutionising training load monitoring, individualised program design, injury risk assessment, and performance analysis. Platforms such as Catapult, STATSports, and Velocity-Based-Training systems use AI to track and analyse athlete performance, while chatbots like ChatGPT, Perplexity, and Jasper AI assist students in synthesising complex theories. Given the applied nature of Sport Science, it is crucial that students not only develop a strong theoretical foundation but also learn to leverage AI in practical settings. This study explores the broader implications of curriculum design and pedagogical strategies for integrating AI into Sport Science education. It explores how AI can enhance active learning, ensuring that students are equipped with both conceptual knowledge and practical competence. The discussion aims to address key questions: How can AI be meaningfully incorporated into teaching and learning? What strategies best prepare students for AI-driven professional environments? By exploring the intersection of AI, pedagogy, and applied Sport Science, this presentation advocates for a forward-thinking approach to curriculum development—one that not only meets students where they are but also prepares them for the evolving demands of the field of Sport Science.
Presenters
Jocelyn SolomonsJunior Lecturer, Division of Sport Science; Exercise, Sport and Lifestyle Medicine, Stellenbosch University, South Africa
Details
Presentation Type
Theme
KEYWORDS
ARTIFICIAL INTELLIGENCE, PEDAGOGY, SPORT SCIENCE, HIGHER EDUCATION
