SIGNALAI·Jul 1, 2026, 4:00 AMSignal55Short term

Artificial Intelligence in Sports: Insights from a Quantitative Survey among Sports Students in Germany about their Perceptions, Expectations, and Concerns regarding the Use of AI Tools

Source: arXiv cs.AI

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Artificial Intelligence in Sports: Insights from a Quantitative Survey among Sports Students in Germany about their Perceptions, Expectations, and Concerns regarding the Use of AI Tools

arXiv:2503.05785v2 Announce Type: replace-cross Abstract: Generative Artificial Intelligence (AI) tools such as ChatGPT, Copilot, or Gemini have a crucial impact on academic research and teaching. Empirical data on how students perceive the increasing influence of AI, which different types of tools they use, what they expect from them in their daily academic tasks, and their concerns regarding the use of AI in their studies are still limited. The manuscript presents findings from a quantitative survey conducted among sports students of all semesters in Germany using an online questionnaire. It

Why this matters
Why now

The proliferation of generative AI tools like ChatGPT has made their impact on various sectors, including academia, increasingly prominent, necessitating empirical understanding of user perceptions.

Why it’s important

Understanding student perceptions, expectations, and concerns regarding AI tools provides critical intelligence for educational institutions and AI developers, impacting future adoption and responsible integration strategies.

What changes

This study offers empirical data on how a specific demographic (sports students in Germany) interacts with and views AI, informing tailored educational approaches and AI tool development for academic use.

Winners
  • · AI education platforms
  • · AI tool developers (with academic focus)
  • · German higher education institutions
Losers
  • · Traditional teaching methodologies (if AI isn't integrated)
  • · Academic integrity (if concerns aren't addressed)
Second-order effects
Direct

The survey results will inform university policies regarding the use of AI in academic settings.

Second

Improved AI literacy and responsible AI integration in sports science curricula could emerge based on student feedback.

Third

The insights could contribute to the development of specialized AI tools designed to enhance learning and research within specific academic disciplines like sports science.

Editorial confidence: 85 / 100 · Structural impact: 40 / 100
Original report

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