Abstract:
As children develop conversational skills such as taking turns and openly listening to ideas, they often experience conflicts and inequity within collaborative dialogue f...Show MoreMetadata
Abstract:
As children develop conversational skills such as taking turns and openly listening to ideas, they often experience conflicts and inequity within collaborative dialogue for learning. Previous research suggests that increasing children's awareness about their own behaviors during collaboration may help them adjust their behaviors and become better partners. Despite this promise, there are currently no educational technologies designed to support children in visualizing and reflecting on their collaborative dialogues. This article reports on an application that generates interactive visualizations of children's dialogue illustrating their word counts, questions counts and types, dialogue content, keywords from their dialogue, and a video recording of their interaction. We evaluated the application by conducting a study with 20 children who were completing computer science (block-based coding) tasks collaboratively and examined how they changed their dialogues in a subsequent dialogue after interacting with the visualizations of their dialogues. Results show that after viewing their dialogue visualizations, children engaged in more balanced dialogues and that less-engaged students talked more and asked more questions. This article provides evidence that dialogue visualization tools have a great potential for supporting young learners as they deeply think about their own dialogue and improve their collaborative behaviors.
Published in: IEEE Transactions on Learning Technologies ( Volume: 15, Issue: 4, 01 August 2022)
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- IEEE Keywords
- Index Terms
- Word Count ,
- Interactive Visualization ,
- Child Engagement ,
- Collaborative Behavior ,
- Awareness In Children ,
- Body Of Research ,
- Average Deviation ,
- Rational Design ,
- Machine Learning Models ,
- Types Of Questions ,
- Adult Learners ,
- Collaborative Activities ,
- Pie Chart ,
- Middle School Students ,
- Changes In Children ,
- Vision Applications ,
- Asperger Syndrome ,
- Collaborative Program ,
- Line Chart ,
- Child In Question ,
- Total Number Of Questions ,
- Word Error Rate ,
- Collaborative Learning Activities ,
- Productive Dialogue ,
- Keyword Extraction ,
- Type Of Visualization ,
- Amount Of Time ,
- Closed Questions ,
- Dynamic Way ,
- Web-based Application
- Author Keywords
Keywords assist with retrieval of results and provide a means to discovering other relevant content. Learn more.
- IEEE Keywords
- Index Terms
- Word Count ,
- Interactive Visualization ,
- Child Engagement ,
- Collaborative Behavior ,
- Awareness In Children ,
- Body Of Research ,
- Average Deviation ,
- Rational Design ,
- Machine Learning Models ,
- Types Of Questions ,
- Adult Learners ,
- Collaborative Activities ,
- Pie Chart ,
- Middle School Students ,
- Changes In Children ,
- Vision Applications ,
- Asperger Syndrome ,
- Collaborative Program ,
- Line Chart ,
- Child In Question ,
- Total Number Of Questions ,
- Word Error Rate ,
- Collaborative Learning Activities ,
- Productive Dialogue ,
- Keyword Extraction ,
- Type Of Visualization ,
- Amount Of Time ,
- Closed Questions ,
- Dynamic Way ,
- Web-based Application
- Author Keywords