An analysis model of teacher-child conversations based on deep learning.
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| Title: | An analysis model of teacher-child conversations based on deep learning. |
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| Authors: | Wang, Shiyao1 Szwsy2020@163.com, Song, Lin2 Songl347@nenu.edu.cn, Liu, Yanming3 Liam.Liu@monash.edu |
| Source: | Educational Technology & Society. Jan2026, Vol. 29 Issue 1, p150-167. 18p. |
| Subject Terms: | *Early childhood education, *Conversation analysis, *Auditory perception, *Teacher-student communication, *Language acquisition, Deep learning |
| Abstract: | With the assistance of deep learning, our study explores teacher-child conversations in a multi-dimensional way within different contexts (e.g., circle time, playtime, shared book reading time) in early childhood education (ECE) classrooms. In the ECE context, children's interactions with teachers play a crucial role in supporting their language development; however, manually transcribing teacher-child conversations is both prohibitive and labour intensive. An analysis model for the observation is to detect important indicators in teacher-child conversations and then better support key dimensions of teacher practice for children's vocabulary development. The accuracy of this model may make it possible to find out the linguistic forms (e.g., questions, comments, prompts), even types of utterances (e.g., open prompts, closed prompts), teacher feedback, and their link with children's vocabulary gains and how teachers' application of these strategies vary across contexts. The research finds out that our analysis model is more sensitive to indicators relevant to acoustic features (e.g., multi-turn) than those metrics related to semantics (e.g., requests and comments). Findings also indicate that the analysis model proved effective reliability in identifying elicitation and extension strategies based on its acoustic features using deep learning. Key findings could benefit to identify teachers' practical practices in real ECE classrooms and assist them to better reflect on qualified teacher-child conversations. [ABSTRACT FROM AUTHOR] |
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| Database: | Education Research Complete |
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