five

Conversational agents for dialogic reading

收藏
NIAID Data Ecosystem2026-03-12 收录
下载链接:
http://datadryad.org/dataset/doi%253A10.7280%252FD10Q3P
下载链接
链接失效反馈
官方服务:
资源简介:
This dataset contains data collected from a randomized control trial that exmines the effects of storybook reading with conversational agents on children's comprehension and engagement. This study used a two (reading partner as conversational agent vs. adult) by two (dialogic reading vs. non-dialogic reading) factorial design, with participants randomly assigned into one of four conditions. Specifically, we utilized a randomized block design, in which participants in each school site were randomly assigned into an experimental condition. The purpose of such a design is to increase the homogeneity of experimental units, thus reducing experimental errors and increasing the power for detecting treatment factor effects. The four conditions were as follows: 1) Agent Dialogic Reading where the agent narrated the story to a child and engaged the child in dialogue by asking questions and providing feedback; 2) Agent Non-Dialogic Reading where the agent merely narrated the same story to a child but did not ask any questions to engage the child in dialogue; 3) Human Dialogic Reading where an adult narrated the story to a child and engaged the child in dialogue by asking questions and providing feedback; and 4) Human Non-Dialogic Reading where an adult merely narrated the same story to a child but did not ask any questions to engage the child in dialogue. The dataset includes variable on children's backgroun information, engagement during storybook reading, and comprehension assessment outcomes. Methods This data was collected via a randomized control trial at participants' schools. Participants filled out a survey and completed a pretest on their expressive vocabulary. After the storybook reading, participants completed a posttest on story comprehension. Participants' engagement during the storybook reading was analyzed from video coding.
创建时间:
2021-09-08
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作