#351: Exploring Variations in Teacher Modelling and Scaffolding Through Chatbot Interactions in Middle School Classrooms
In this paper, we develop new insights into how teachers can model, scaffold and coach students when using tailored chatbots in a school subject. Our interaction analysis, based on a cognitive apprenticeship framework, shows how teachers affirm student statements regarding the chatbot's lack of knowledge structures. We identify a few instances of teacher elaboration on the chatbots' subject-specific knowledge structures during classroom interactions. Teachers mainly provide concrete scaffolding support for the tasks and confirm students' questions and claims about inaccuracies in chatbot outputs. Our analysis also indicates that the balance between modelling and scaffolding depends on how specific sequences in teaching and learning activities are executed.
Speakers
- Henrik Tjønn — University of Oslo
- Sten Runar Ludvigsen — Professor in learning with emerging intelligent technologies
Authors
Henrik Tjønn, Sten Ludvigsen, Anders Mørch