Abstract:
This presentation focuses on the critical need to support preservice teachers (PSTs) in managing classroom behaviour during their placements. Given the challenges PSTs face due to limited experience, which restricts their ability to address diverse student behaviours and engage all learners effectively, there is a pressing need for enhanced training methods in behaviour management. PSTs often struggle to translate theoretical knowledge into practical application, resulting in a gap that can hinder their effectiveness in real classroom settings.
To address this gap, our study explores the potential of artificial intelligence (AI), specifically chatbots, to enhance PSTs' preparedness in managing classroom behaviour. The central research question is: Can the use of chatbots support PSTs in managing classroom behaviour?
By creating an AI chatbot that mimics the personality and behaviours of a real student with low-level behavioural issues, PSTs can engage in realistic scenarios before their placements. This approach aims to boost their confidence and skills in behaviour management. The study involves pre- and post-placement questionnaires and chatbot interactions as data collection methods. This project addresses the gap between theoretical knowledge and practical application, aiming to better equip PSTs for the complexities of classroom management.
The AI chatbot provides PSTs with a safe, controlled environment to practice and refine their behaviour management strategies. This exposure allows them to experiment with different approaches and receive immediate feedback, thus enhancing their learning experience. Additionally, the study examines the impact of these simulated interactions on PSTs' self-efficacy and stress levels during actual classroom settings.
This cross-institutional project involves academic staff from five universities: UTS, Macquarie University, Sydney University, La Trobe University, and Western Sydney University. By leveraging the expertise and resources from these institutions, the project aims to develop a comprehensive and scalable solution for improving behaviour management training for PSTs.
To address this gap, our study explores the potential of artificial intelligence (AI), specifically chatbots, to enhance PSTs' preparedness in managing classroom behaviour. The central research question is: Can the use of chatbots support PSTs in managing classroom behaviour?
By creating an AI chatbot that mimics the personality and behaviours of a real student with low-level behavioural issues, PSTs can engage in realistic scenarios before their placements. This approach aims to boost their confidence and skills in behaviour management. The study involves pre- and post-placement questionnaires and chatbot interactions as data collection methods. This project addresses the gap between theoretical knowledge and practical application, aiming to better equip PSTs for the complexities of classroom management.
The AI chatbot provides PSTs with a safe, controlled environment to practice and refine their behaviour management strategies. This exposure allows them to experiment with different approaches and receive immediate feedback, thus enhancing their learning experience. Additionally, the study examines the impact of these simulated interactions on PSTs' self-efficacy and stress levels during actual classroom settings.
This cross-institutional project involves academic staff from five universities: UTS, Macquarie University, Sydney University, La Trobe University, and Western Sydney University. By leveraging the expertise and resources from these institutions, the project aims to develop a comprehensive and scalable solution for improving behaviour management training for PSTs.