Design and assessment of a vision computing-based multimedia interaction system for hybrid teaching

Area of Science:

• Educational Technology
• Computer Vision
• Multimedia Systems

Background:

• Hybrid teaching models blend online and offline learning activities.
• Effective interaction between online and offline components is a key challenge.
• Vision computing offers intuitive solutions for bridging these scenarios.

Purpose of the Study:

• To design and evaluate a vision computing-based multimedia interaction system for hybrid teaching.
• To facilitate seamless interaction between remote and in-person participants.
• To enhance the overall effectiveness of hybrid learning environments.

Main Methods:

• Designing the macroscopic architecture of the interaction system.
• Defining protocols for video transmission and analysis.
• Developing an optimal scheduling algorithm for module coordination.
• Building a prototype system for empirical evaluation.

Main Results:

• The system architecture and interaction protocols were successfully defined.
• An optimal scheduling algorithm was developed to manage system modules.
• Empirical evaluation demonstrated the system's capability in visual information processing and interactive scheduling.
• The prototype system effectively implemented hybrid teaching functions.

Conclusions:

• The vision computing-based multimedia interaction system is effective for hybrid teaching.
• The system ensures reliable remote interaction performance.
• This approach offers a robust solution for enhancing engagement in hybrid learning.