Enhancing educational dialogue act classification with discourse context and sample informativeness
Automating the classification of instructional strategies from a large-scale online tutorial
dialogue corpus is indispensable to the design of dialogue-based intelligent tutoring …
dialogue corpus is indispensable to the design of dialogue-based intelligent tutoring …
Using large language models to provide explanatory feedback to human tutors
Research demonstrates learners engaging in the process of producing explanations to
support their reasoning, can have a positive impact on learning. However, providing …
support their reasoning, can have a positive impact on learning. However, providing …
Towards automated transcribing and coding of embodied teamwork communication through multimodal learning analytics
Effective collaboration and teamwork skills are critical in high‐risk sectors, as deficiencies in
these areas can result in injuries and risk of death. To foster the growth of these vital skills …
these areas can result in injuries and risk of death. To foster the growth of these vital skills …
[PDF][PDF] Combining Dialog Acts and Skill Modeling: What Chat Interactions Enhance Learning Rates During AI-Supported Peer Tutoring?
Peer tutoring can improve learning by prompting learners to reflect. To assess whether peer
interactions are conducive to learning and provide peer tutoring support accordingly, what …
interactions are conducive to learning and provide peer tutoring support accordingly, what …
Prompting as Panacea? A Case Study of In-Context Learning Performance for Qualitative Coding of Classroom Dialog
One of the areas where Large Language Models (LLMs) show promise is for automated
qualitative coding, typically framed as a text classification task in natural language …
qualitative coding, typically framed as a text classification task in natural language …