Exploring K-12 Physical Education Teachers’ Perspectives on Opportunities and Challenges of AI Integration through Ideation Workshops

Research Background and Problem

• What problems or challenges did the authors identify?
  Although the potential of Artificial Intelligence (AI) in education and professional sports has been widely recognized, its application in K-12 physical education (PE) remains under-researched. Current challenges include difficulties in curriculum management, providing personalized feedback, addressing differences in students' abilities and interests, and the complexity of student data evaluation and processing.

• Why is this problem important?
  Physical education plays a critical role in promoting students' holistic development, including enhancing physical health, emotional regulation, and social skills. However, due to limited resources and the constraints of traditional teaching methods, delivering high-quality PE classes remains challenging. The potential of AI could provide breakthroughs to address these issues and significantly improve teaching efficiency and student engagement.

• Research Motivation and Related Work
  AI has demonstrated significant applications in STEM education and professional sports, but its use in PE has not been fully explored. Existing research focuses on specific sports skills, without comprehensively addressing the multidimensional teaching objectives of PE. Furthermore, there is a lack of teaching frameworks that integrate the practical experience of PE teachers. Therefore, the authors focus on the perspective of PE teachers to explore how AI can play a role in physical education.

Solution

• What methods or solutions did the authors propose?
  The authors conducted focus group creative workshops with 17 middle school PE teachers in South Korea to explore the potential applications and challenges of AI in PE classrooms. The teachers envisioned the potential roles of AI in four capacities: Operational Assistant, Personal Trainer, Group Coach, and Evaluator.

• What is innovative about this solution?
  A key innovation of this approach is the direct incorporation of the practical teaching experiences and needs of frontline PE teachers. Through participatory design, AI-supported roles were developed to align with real educational scenarios. Additionally, the proposed AI roles cover multiple dimensions, including classroom management, personalized guidance, and data evaluation, showcasing the potential of AI in non-traditional classroom settings.

• What are the implementation steps? What key technologies were used?

  1. Design focus group creative workshops to facilitate teachers in proposing AI-related solutions. The workshops included discussions on challenges, brainstorming solutions, and developing scenario storyboards.
  2. Provide a brief introduction to basic AI capabilities, including perception, natural language processing, automation and optimization, and reasoning and prediction.
  3. Collect teachers' ideas for solutions, including sketching, developing storyboards, and role-playing simulations.
  4. Analyze the discussion content and extract key issues and solutions using thematic analysis methods.

Research Findings

• What specific findings were achieved?
  PE teachers envisioned four roles for AI in PE classrooms:

  • Operational Assistant: Optimizing the classroom environment and managing student and equipment safety, such as adjusting indoor lighting and temperature in real-time using sensors.
  • Personal Trainer: Providing students with personalized motion analysis and psychological encouragement, such as correcting posture, adjusting training difficulty, and offering emotional support.
  • Group Coach: Building balanced teams and assisting in managing team activities, such as grouping students based on athletic ability and personality data.
  • Evaluator: Automating the recording and assessment of students' learning progress, such as generating multidimensional evaluation reports by monitoring physical activity data.

• What advantages does it have compared to existing solutions?
  The authors' research expands the application scope of AI in education from traditional classrooms to non-traditional teaching environments like physical education. This perspective not only captures AI's ability to address practical issues in PE but also reveals its potential to support multidimensional teaching objectives.

• What are the experimental or evaluation results?
  Participants generally believed that AI has the potential to improve PE teaching but emphasized that it should only serve as an auxiliary tool rather than completely replacing teachers. The research also highlighted key practical barriers, such as insufficient technology and resources, varying levels of teacher proficiency with AI, and data privacy risks.

• Limitations and Future Directions

  1. Limitations: The study participants were all from South Korea, resulting in relatively homogeneous cultural and educational backgrounds. Additionally, the workshop design might have overly focused participants on AI-based solutions, potentially overlooking non-technological alternatives.
  2. Future Directions: Future research could expand to more diverse cultural and educational contexts, involving a wider range of stakeholders (e.g., students and parents). Moreover, there should be a more balanced exploration of both technological and non-technological solutions.

Conclusion

This study, through interactions with PE teachers, revealed the potential of AI in K-12 physical education while emphasizing its role as an auxiliary tool. The proposed four AI role designs not only address practical issues in teaching practices but also establish a framework for large-scale AI integration beyond traditional classrooms. Future research could focus on addressing issues related to technological proficiency and resource limitations, as well as expanding to broader educational contexts and cultural backgrounds.