Cited by 81Intelligent Tutoring Systems and Adaptive LearningSpeech and dialogue systemsSocial Robot Interaction and HRI

BookBuddy: Turning Digital Materials Into Interactive Foreign Language Lessons Through a Voice Chatbot

Open access
Ruan, Sherry, Willis, Angelica, Xu, Qianyao, Davis, Glenn M., Jiang, Liwei, Brunskill, Emma, Landay, James A.·2019·Proceedings of the Sixth (2019) ACM Conference on Learning @ Scale

Abstract

Digitization of education has brought a tremendous amount of online materials that are potentially useful for language learners to practice their reading skills. However, these digital materials rarely help with conversational practice, a key component of foreign language learning. Leveraging recent advances in chatbot technologies, we developed BookBuddy, a scalable virtual reading companion that can turn any reading material into an interactive conversation-based English lesson. We piloted our virtual tutor with five 6-year-old native Chinese-speaking children currently learning English. Preliminary results suggest that children enjoyed speaking English with our virtual tutoring chatbot and were highly engaged during the interaction.

Integrity signals

Registry

Crossref · 10.1145/3330430.3333643

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Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Some teaching agents engage students with a discussion in a storytelling style.

    “some teaching agents engage students with a discussion in a storytelling style (Alobaidi et al., 2013;Ruan et al., 2019)”

    From Interacting with educational chatbots: A systematic review (2023) · cites this paper as Ruan et al., 2019

  • The study by Ruan et al. (2019) reported high usefulness.

    “| (Ruan et al., 2019) | Teaching agent, chatbot driven 5 | High engagement and | |”

    From Interacting with educational chatbots: A systematic review (2023) · cites this paper as Ruan et al., 2019

  • The study by Ruan et al. (2019) reported high engagement.

    “| (Ruan et al., 2019) | Teaching agent, chatbot driven 5 | High engagement and | |”

    From Interacting with educational chatbots: A systematic review (2023) · cites this paper as Ruan et al., 2019

Cited by

Sorted by citations

Authors
Ruan, S., Willis, A., Xu, Q., Davis, G. M., Jiang, L., Brunskill, E., & Landay, J. A.
Affiliations
  • Stanford University (US)
  • Tsinghua University (CN)
Venue
Proceedings of the Sixth (2019) ACM Conference on Learning @ Scale
Publisher
ACM
Published
2019-06-24
Pages
1-4
OpenAlex
W2965578234
Cited by
81
References
0
Citations by year
2026: 4 · 2025: 13 · 2024: 23 · 2023: 12 · 2022: 11 · 2021: 14 · 2020: 4
FWCI
2.72
Type
conference paper
Language
en
Open access
Locations
ACM Conference on Learning @ Scale (L@S) (publishedVersion, cc-by)
Topics
  • Physical Sciences › Computer Science › Artificial Intelligence › Intelligent Tutoring Systems and Adaptive Learning
  • Physical Sciences › Computer Science › Artificial Intelligence › Speech and dialogue systems
  • Social Sciences › Psychology › Social Psychology › Social Robot Interaction and HRI
Keywords
speaking activities, English as a foreign language, young learners, Chinese-speaking children, digital language learning, child engagement

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