Construction and Application of a Human-Computer Collaborative Multimodal Practice Teaching Model for Preschool...

Area of Science:

• Educational Technology
• Human-Computer Interaction
• Multimodal Learning

Background:

• Traditional preschool teaching models often rely on single modalities.
• Integrating technology can enhance engagement and learning outcomes in early childhood education.
• Multimodal theory offers a framework for richer, more interactive learning experiences.

Purpose of the Study:

• To develop and apply a multimodal human-computer collaboration model for preschool English teaching.
• To explore the synergy between artificial intelligence (AI) and teachers in the classroom.
• To improve the quality of preschool classroom teaching through innovative methods.

Main Methods:

• Adopting a multimodal approach with human-computer collaboration.
• Analyzing the advantages of AI and teachers in English classrooms.
• Utilizing inverse kinematic solutions for vision-based collaborative human-machine control of dexterous manipulators.
• Constructing an English teaching model based on Gagne's nine teaching events.

Main Results:

• The
• EasyDotWise English Teaching System
• was designed, integrating AI for specific preschool English curriculum objectives.
• Three teaching activities were implemented: reading aloud assessment, phonetic sound recognition, and text comprehension selection.
• The model demonstrated the potential to break through single-modal limitations and enrich teaching theory.

Conclusions:

• Human-computer collaboration offers a promising approach to enhance preschool English education.
• The developed system and model can improve teaching quality and learner engagement.
• Further research into multimodal learning and AI integration in early childhood education is warranted.