Internet of things-based technological acceptance learning management framework for the physical education system

Area of Science:

• Educational Technology
• Computer Science

Background:

• The Internet of Things (IoT) offers advanced connectivity for smart devices.
• Physical Education (PE) is crucial for developing students' physical activity skills and confidence.
• Learning management systems in PE face challenges like unclear goals, poor integration, and implementation difficulties.

Purpose of the Study:

• To propose an IoT-based Technological Acceptance Learning Management Framework (IoT-TALMF).
• To address objectives, resource allocation, and team effectiveness in PE group work.
• To enhance the PE learning management system using IoT.

Main Methods:

• Utilizing IoT-TALMF with physical educators for managing interactions and resources.
• Employing statistical course content analysis to define motivating goals for PE.
• Integrating instructor learning techniques with IoT-TALMF for improved system accuracy and team management.

Main Results:

• The IoT-TALMF framework achieved an identity accuracy ratio of 97.33%.
• Student performance ratio was enhanced to 96.2%.
• The framework demonstrated a reliability ratio of 97.12%.

Conclusions:

• The proposed IoT-TALMF framework significantly improves key performance metrics in PE learning management.
• The framework proves reliable and effective in addressing identified challenges.
• IoT integration enhances accuracy, performance, and reliability in educational systems.