InCoRe -- An Interactive Co-Regulation Model: Training Teacher Communication Skills in Demanding Classroom Situations
Project Overview
The document introduces the InCoRe model, a hybrid AI system designed to enhance teacher training in communication and co-regulation skills within classroom environments. It underscores the significance of socioemotional processes in education, focusing on the interactions between teachers and students. By incorporating psychological models, the system aims to automate and improve the training of educators, facilitating their ability to manage classroom dynamics effectively. Additionally, the document highlights the innovative use of virtual reality (VR) and AI technologies, which offer immersive training experiences that equip teachers with the skills to handle conflicts and refine their emotional responses in real-time. Overall, the findings suggest that the integration of generative AI and VR in educational training can significantly enhance teacher performance and contribute to more responsive and emotionally intelligent classroom interactions.
Key Applications
InCoRe Model
Context: Teacher training programs, focusing on developing socioemotional skills and conflict management in classrooms.
Implementation: Implemented through a virtual reality training environment that uses AI to simulate interactions with virtual students, allowing for real-time feedback and emotional understanding.
Outcomes: Improved communication skills of teachers, better management of classroom conflicts, and enhanced understanding of socioemotional dynamics in teaching.
Challenges: Difficulties in implementing training approaches due to costs and ethical considerations of in-situ training.
Implementation Barriers
Cost
High costs associated with developing and implementing AI-based teacher training systems.
Proposed Solutions: Exploration of affordable technology options for training systems.
Ethical
Ethical concerns regarding the use of AI in in-situ teacher training and assessment.
Proposed Solutions: Careful consideration of ethical dimensions in training designs.
Project Team
Chirag Bhuvaneshwara
Researcher
Lara Chehayeb
Researcher
Alexander Haberl
Researcher
Julius Siedentopf
Researcher
Patrick Gebhard
Researcher
Dimitra Tsovaltzi
Researcher
Contact Information
For information about the paper, please contact the authors.
Authors: Chirag Bhuvaneshwara, Lara Chehayeb, Alexander Haberl, Julius Siedentopf, Patrick Gebhard, Dimitra Tsovaltzi
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