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Chatbot dialogic reading boosts comprehension for Chinese kindergarteners with higher language skills

  • Xi Cheng
  • , Li Yin*
  • , Chaochao Lin
  • , Zhaoning Shi
  • , Hanxiao Zheng
  • , Leqi Zhu
  • , Xiabi Liu
  • , Keran Chen
  • , Rui Dong
  • *Corresponding author for this work
  • Tsinghua University
  • Beijing Institute of Technology

Research output: Contribution to journal › Article › peer-review

Abstract

Dialogic reading promotes early language and literacy development, but high-quality interactions may be inaccessible to disadvantaged children. This study examined whether a chatbot could deliver dialogic reading support comparable to a human partner for Chinese kindergarteners. Using a 2 × 2 factorial design, 148 children (83 girls; Mage = 70.07 months, SD = 7.64) from less resourced families in Beijing, China, were randomly assigned to one of four conditions: dialogic or non-dialogic reading techniques with either a chatbot or human partner. The chatbot provided comparable dialogic support to the human partner, enhancing story comprehension and word learning. Critically, the chatbot's effect on story comprehension was moderated by children's language proficiency rather than age or reading ability. This demonstrates that chatbots can facilitate dialogic reading and highlights the importance of considering children's language skills when implementing chatbot dialogic interventions.

Original languageEnglish
Article number105842
JournalJournal of Experimental Child Psychology
Volume240
DOIs
Publication statusPublished - Apr 2024

Keywords

  • Chatbot
  • Chinese
  • Dialogic reading
  • Story comprehension
  • Word learning
  • kindergartener

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