paper-with-me

홈 › Papers

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

2025-02-27 · Dennis Krämer, Anja Bosold, Martin Minarik, Cleo Schyvinck, Andre Hajek

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 explores aspects such as students' usage behavior, motivational factors, and uncertainties regarding the impact of AI tools on academia in the future. Furthermore, the social climate in sports studies is being investigated to provide a general overview of the current situation of the students in Germany. Data collection took place between August and November 2023, addressing all sports departments at German universities, with a total of 262 students participating. Our Findings indicate that students have a strong interest in using AI tools in their studies, expecting them to improve their overall academic performance, understand the complexity of scientific approaches, and save time. They express confidence that the proliferation of AI will not compromise their critical thinking skills. Moreover, students are positive about integrating more AI-related topics into the curriculum and about lecturers adopting more AI-based teaching methods. However, our findings also show that students have concerns about plagiarism, lecturer preparedness and their own skills and future skill development.

📄 PDF Abstract BibTeX arXiv:2503.05785

Code (0)

등록된 구현이 없습니다.

Similar Papers 제목 키워드 기반

AI and analytics in sports: Leveraging BERTopic to map the past and chart the future

2025-10-17 · Manit Mishra arxiv

Purpose: The purpose of this study is to map the body of scholarly literature at the intersection of artificial intelligence (AI), analytics and sports and thereafter, leverage the insights generated to chart guideposts …

Sentiment Analysis

A Survey of Large Models in Sports

2026-08-14 · Yichen Xu, Jianzhe Ma, Chuhan Wang, Zhonghao Cao 외 arxiv

Sports have witnessed growing global enthusiasm in recent years, serving as a vital force for physical health, cultural exchange, social connection, and economic growth. The rapid advancement of large models, particularl…

Action Valuation in Sports: A Survey

2025-04-08 · Artur Xarles, Sergio Escalera, Thomas B. Moeslund, Albert Clapés

Action Valuation (AV) has emerged as a key topic in Sports Analytics, offering valuable insights by assigning scores to individual actions based on their contribution to desired outcomes. Despite a few surveys addressing…

Sports AnalyticsSurvey

Quantitative Analysis of Primary Attribution Explainable Artificial Intelligence Methods for Remote Sensing Image Classification

2023-06-06 · Akshatha Mohan, Joshua Peeples

We present a comprehensive analysis of quantitatively evaluating explainable artificial intelligence (XAI) techniques for remote sensing image classification. Our approach leverages state-of-the-art machine learning appr…

ClassificationDecision MakingExplainable artificial intelligenceExplainable Artificial Intelligence (XAI)+3

AI Telephone Surveying: Automating Quantitative Data Collection with an AI Interviewer

2025-07-23 · Danny D. Leybzon, Shreyas Tirumala, Nishant Jain, Summer Gillen 외 arxiv

With the rise of voice-enabled artificial intelligence (AI) systems, quantitative survey researchers have access to a new data-collection mode: AI telephone surveying. By using AI to conduct phone interviews, researchers…

Speech RecognitionSpeech Synthesis