Human and AI collaboration in Fitness Education:A Longitudinal Study with a Pilates Instructor
Project Overview
The document explores the role of generative AI, particularly GPT-4, in enhancing fitness education by supporting human instructors rather than replacing them. It highlights a synergistic relationship where AI complements human abilities, ultimately improving teaching effectiveness while preserving the essential human elements of empathy, embodiment, and adaptive creativity. The findings underscore the distinct advantages of AI in processing information and generating content quickly, which can significantly benefit the educational environment. The document advocates for a balanced approach to integrating AI, positioning it as a co-pilot in the educational process. By doing so, the integration of generative AI not only enriches the learning experience for students but also allows educators to leverage technology to enhance their teaching practices, fostering a more effective and engaging educational landscape.
Key Applications
GPT-4 as an instructional aid for Pilates education
Context: Fitness education, specifically Pilates classes, targeting instructors and students
Implementation: The instructor used GPT-4 for class planning, generating exercise suggestions, and diagnosing movement issues.
Outcomes: Improved class planning efficiency, enhanced feedback mechanisms, personalized instruction, and better student engagement.
Challenges: Quality control of AI outputs, ensuring the human instructor's role remains central, and addressing potential over-reliance on AI.
Implementation Barriers
Quality Control
AI-generated content may contain errors or biases, necessitating human oversight for accuracy.
Proposed Solutions: Implementing a 'human-in-the-loop' approach to verify AI outputs before use in teaching.
Dependence on AI
Over-reliance on AI may lead to a decline in the instructor's own teaching skills and decision-making abilities.
Proposed Solutions: Encouraging instructors to use AI as an assistive tool while maintaining their expertise and judgment.
Ethical Concerns
Issues regarding transparency, consent, and the handling of student data when using AI, including the need for clear guidelines for data usage.
Proposed Solutions: Establishing clear guidelines for data usage and ensuring informed consent from students.
Integration Challenges
Difficulty in integrating AI tools seamlessly into existing educational practices without disrupting the human element, requiring systems that enhance rather than replace interaction.
Proposed Solutions: Designing AI systems that enhance rather than replace human interaction and adapting to instructors' teaching styles.
Project Team
Qian Huang
Researcher
King Wang Poon
Researcher
Contact Information
For information about the paper, please contact the authors.
Authors: Qian Huang, King Wang Poon
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