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
Project Overview
The document explores the views and expectations of sports students in Germany regarding generative AI tools like ChatGPT in educational settings. It reveals a strong interest among students in leveraging AI for various academic tasks to enhance their performance and calls for more AI-related coursework. However, it also identifies significant concerns, including the risk of plagiarism, the reliability of AI-generated content, and the absence of dedicated university programs on AI. Furthermore, it emphasizes the necessity for proper training and guidelines to navigate the implications for academic integrity effectively. Overall, while students recognize the potential benefits of generative AI in learning, they also express the need for structured support to address the associated challenges.
Key Applications
Generative AI tools (e.g., ChatGPT)
Context: Higher education, targeting university students in various disciplines, including sports education in Germany. The focus is on assisting students in writing, researching, and understanding complex concepts across different subjects.
Implementation: A quantitative survey and usage analysis conducted among students from various universities, assessing their usage behavior, motivations, and concerns regarding generative AI tools. Students utilize these tools for tasks such as improving academic performance and enhancing efficiency in completing assignments, as well as understanding complex subjects.
Outcomes: Students expressed increased motivation, improved understanding of subjects, and perceived AI as a valuable supplemental learning resource. They reported benefits in academic performance and efficiency in handling academic tasks.
Challenges: Concerns regarding plagiarism, misinformation, reliability of information, academic integrity, lecturer preparedness, and the potential impact on critical thinking and creativity.
Implementation Barriers
Educational
Lack of comprehensive university courses on AI tools, leading to uncertainty among students about available resources.
Proposed Solutions: Universities should develop and promote AI-related courses and training for both students and lecturers.
Ethical
Concerns about plagiarism, academic integrity, and the reliability of AI-generated information, which students feel could undermine academic integrity.
Proposed Solutions: Education on responsible AI usage, verification of AI outputs, and establishing clear guidelines for proper use of AI tools should be integrated into the curriculum.
Technological
Concerns about the accuracy and reliability of information generated by AI tools.
Proposed Solutions: Emphasizing the importance of verifying AI-generated content before use.
Cultural
Fears that reliance on AI may diminish essential skills such as critical thinking and teamwork.
Proposed Solutions: Encouraging a balanced approach where AI is used as a supplementary tool rather than a replacement for traditional learning methods.
Project Team
Dennis Krämer
Researcher
Anja Bosold
Researcher
Martin Minarik
Researcher
Cleo Schyvinck
Researcher
Andre Hajek
Researcher
Contact Information
For information about the paper, please contact the authors.
Authors: Dennis Krämer, Anja Bosold, Martin Minarik, Cleo Schyvinck, Andre Hajek
Source Publication: View Original PaperLink opens in a new window
Project Contact: Dr. Jianhua Yang
LLM Model Version: gpt-4o-mini-2024-07-18
Analysis Provider: Openai