Background: The existing research on dialogue-based learning and teaching predominantly highlights its capacity to yield productive educational outcomes, yet it often overlooks the pivotal factor of participation equity, which is fundamental to ensuring the efficacy of dialogic teaching and learning. Objectives: In this study, participation equity…

This study examined fostering low-achieving students' epistemic understanding of discourse in knowledge building classrooms using video-based visual learning analytics. The participants were two Grade 9 visual arts classes of low-achieving students. The experimental class (n = 33) engaged in a knowledge building classroom supported by video-based…

This study investigates the potential of ChatGPT, a cutting-edge large language model in generative artificial intelligence (AI), to support the teaching of dialogic pedagogy to preservice teachers. A workshop was conducted with 29 preservice teachers, wherein ChatGPT and another prominent AI model, Bert, were sequentially integrated to facilitate…

Contributions: To address the interpretability issues in artificial intelligence (AI)-powered classroom discourse models, we employ explainable AI methods to unpack classroom discourse analysis from deep learning-based models and evaluate the effects of model explanations on STEM teachers. Background: Deep learning techniques have been used to…

Deep neural networks are increasingly employed to model classroom dialogue and provide teachers with prompt and valuable feedback on their teaching practices. However, these deep learning models often have intricate structures with numerous unknown parameters, functioning as black boxes. The lack of clear explanations regarding their classroom…