Exploring K-12 Physical Education Teachers' Perspectives on Opportunities and Challenges of AI Integration Through Ideation Workshops
Project Overview
The document examines the role of generative AI in K-12 Physical Education (PE) by gathering insights from PE teachers, revealing four key applications: operational assistant, personal trainer, group coach, and evaluator. It highlights the potential of AI to enhance PE instruction and operations, addressing challenges such as class management, personalized feedback, team activities, and performance assessments. Despite these opportunities, the study identifies significant barriers to integration, including the need for institutional support, diverse levels of technological proficiency among educators, concerns over data privacy, and the danger of becoming overly reliant on AI tools. The findings underscore the importance of thoughtfully implementing AI solutions that align with educational objectives to maximize benefits while mitigating risks.
Key Applications
AI as an operational assistant, personal trainer, group coach, and evaluator.
Context: K-12 Physical Education classes for secondary school teachers.
Implementation: Engagement in ideation workshops with 17 in-service PE teachers to explore AI's roles in addressing challenges.
Outcomes: Enhanced class management, personalized feedback, improved team activities, and streamlined performance assessments.
Challenges: Concerns regarding data privacy, institutional barriers, varying tech proficiency among teachers, and potential over-reliance on AI.
Implementation Barriers
Institutional Barrier
Concerns about lack of institutional support and resource allocation for AI integration in PE, as well as the need to demonstrate AI's benefits to justify investment.
Proposed Solutions: Initiate small-scale pilot projects to showcase AI's effectiveness and secure necessary resources.
Technological Proficiency Barrier
Varying levels of technological proficiency and motivation among PE teachers, which could lead to inconsistent instructional quality.
Proposed Solutions: Implement teacher training programs focused on building technical proficiency and confidence in using AI tools.
Alignment with Educational Goals
Concerns that AI integration might not align with PE’s educational goals and could lead to over-reliance on AI in instructional practices.
Proposed Solutions: Establish clear instructional guidelines to ensure that AI supports and enhances the educational goals of PE.
Data Privacy Barrier
Concerns regarding the legal and ethical implications of collecting student data for AI, including transparency and consent issues.
Proposed Solutions: Ensure transparency in data collection practices and obtain explicit consent from students and parents before using AI tools.
Project Team
Dakyeom Ahn
Researcher
Hajin Lim
Researcher
Contact Information
For information about the paper, please contact the authors.
Authors: Dakyeom Ahn, Hajin Lim
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