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Robotic learning companions for early language development

Published: 09 December 2013 Publication History

Abstract

Research from the past two decades indicates that preschool is a critical time for children's oral language and vocabulary development, which in turn is a primary predictor of later academic success. However, given the inherently social nature of language learning, it is difficult to develop scalable interventions for young children. Here, we present one solution in the form of robotic learning companions, using the DragonBot platform. Designed as interactive, social characters, these robots combine the flexibility and personalization afforded by educational software with a crucial social context, as peers and conversation partners. They can supplement teachers and caregivers, allowing remote operation as well as the potential for autonomously participating with children in language learning activities. Our aim is to demonstrate the efficacy of the DragonBot platform as an engaging, social, learning companion.

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Published In

cover image ACM Conferences
ICMI '13: Proceedings of the 15th ACM on International conference on multimodal interaction
December 2013
630 pages
ISBN:9781450321297
DOI:10.1145/2522848
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 09 December 2013

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Author Tags

  1. education
  2. learning
  3. play
  4. robotic learning companion
  5. sociable robots

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  • Demonstration

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ICMI '13
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ICMI '13 Paper Acceptance Rate 49 of 133 submissions, 37%;
Overall Acceptance Rate 453 of 1,080 submissions, 42%

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  • (2018)People-Centered Development of a Smart Learning Ecosystem of Adaptive RobotsThe Interplay of Data, Technology, Place and People for Smart Learning10.1007/978-3-319-92022-1_8(85-98)Online publication date: 19-May-2018
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