ORIGINAL RESEARCH article
Front. Sports Act. Living
Sec. Physical Education and Pedagogy
Volume 7 - 2025 | doi: 10.3389/fspor.2025.1627685
This article is part of the Research TopicDigital Transformation in Sports Coaching: Enhancing Coach Learning and Athlete DevelopmentView all articles
Assessing the Practicality of Using Freely Available AI-Based GPT Tools for Coach Learning and Athlete Development
Provisionally accepted
Katherine A O'Brien*
Sarah Prentice- Queensland University of Technology, Brisbane, Australia
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This study represents one of the initial efforts to analyse a coach-athlete conversational dataset using freely available GPT tools and a pre-determined, context-specific, prompt-based analyses framework (i.e., R 2 -PIASS). One dialogue dataset was selected by means of two different freely available AI-based GPT tools: ChatGPT v4 and DeepSeek v3. The results illustrated that both ChatGPT v4 and DeepSeek v3 models could extract quantitative and qualitative conversational information from the source material using simple R 2 -PIASS prompt specifiers. Implicationsspecifiers. Implications for how coaches can use this technology to support their own learning, practice designs, and performance analyses were the efficiencies both platforms provided in relation to cost, useability, accessibility and convenience. Despite the strengths, of using freely available GPT tools for dialogue analysis there were also associated risks and pitfalls when using this process such as the strength and robustness of the applicable statistical outcomes and tensions between keeping the input data within the context and ensuring that the context did not breach privacy issues. Further investigations that engage GPT platforms for coach-athlete dialogue analysis are therefore required to ascertain the true relevance and potential of using this type of technology to enhance coach learning and athlete development.
Keywords: GPT Technology, artificial intelligence, Coach learning, Athlete development, ChatGPT, deepseek, conversational analysis, Sport officiating
Received: 13 May 2025; Accepted: 14 Jul 2025.
Copyright: © 2025 O'Brien and Prentice. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Katherine A O'Brien, Queensland University of Technology, Brisbane, Australia
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