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A Survey of Robot-Assisted Language Learning (RALL)

Author:

Natasha RandallAuthors Info & Claims

ACM Transactions on Human-Robot Interaction (THRI), Volume 9, Issue 1

Article No.: 7, Pages 1 - 36

https://doi.org/10.1145/3345506

Published: 11 December 2019 Publication History

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Abstract

Robot-assisted language learning (RALL) is becoming a more commonly studied area of human-robot interaction (HRI). This research draws on theories and methods from many different fields, with researchers utilizing different instructional methods, robots, and populations to evaluate the effectiveness of RALL. This survey details the characteristics of robots used—form, voice, immediacy, non-verbal cues, and personalization—along with study implementations, discussing research findings. It also analyzes robot effectiveness. While research clearly shows that robots can support native and foreign language acquisition, it has been unclear what benefits robots provide over computer-assisted language learning. This survey examines the results of relevant studies from 2004 (RALL's inception) to 2017. Results suggest that robots may be uniquely suited to aid in language production, with apparent benefits in comparison to other technology. As well, research consistently indicates that robots provide unique advantages in increasing learning motivation and in-task engagement, and decreasing anxiety, though long-term benefits are uncertain. Throughout this survey, future areas of exploration are suggested, with the hope that answers to these questions will allow for more robust design and implementation guidelines in RALL.

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Cited By

Maijala MMutta M(2024)The Teacher's Role in Robot-assisted Language Learning and its Impact on Classroom EcologyThe EuroCALL Review10.4995/eurocall.2023.1701830:2(6-23)Online publication date: 26-Jan-2024
https://doi.org/10.4995/eurocall.2023.17018
Deng QFu CBan MIio T(2024)A systematic review on robot-assisted language learning for adultsFrontiers in Psychology10.3389/fpsyg.2024.147137015Online publication date: 6-Nov-2024
https://doi.org/10.3389/fpsyg.2024.1471370
Derakhshan ATeo TSaeedy Robat EJanebi Enayat MJahanbakhsh A(2024)Robot-Assisted Language Learning: A Meta-AnalysisReview of Educational Research10.3102/00346543241247227Online publication date: 1-May-2024
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Index Terms

A Survey of Robot-Assisted Language Learning (RALL)

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Published In

cover image ACM Transactions on Human-Robot Interaction

ACM Transactions on Human-Robot Interaction Volume 9, Issue 1

March 2020

181 pages

EISSN:2573-9522

DOI:10.1145/3375676

Editors:
Odest Chadwicke Jenkins
University of Michigan, USA
,
Selma Sabanovic
Indiana University, USA

Issue’s Table of Contents

Copyright © 2019 Owner/Author.

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

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Publication History

Published: 11 December 2019

Accepted: 01 July 2019

Revised: 01 May 2019

Received: 01 June 2018

Published in THRI Volume 9, Issue 1

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Cited By

Maijala MMutta M(2024)The Teacher's Role in Robot-assisted Language Learning and its Impact on Classroom EcologyThe EuroCALL Review10.4995/eurocall.2023.1701830:2(6-23)Online publication date: 26-Jan-2024
https://doi.org/10.4995/eurocall.2023.17018
Deng QFu CBan MIio T(2024)A systematic review on robot-assisted language learning for adultsFrontiers in Psychology10.3389/fpsyg.2024.147137015Online publication date: 6-Nov-2024
https://doi.org/10.3389/fpsyg.2024.1471370
Derakhshan ATeo TSaeedy Robat EJanebi Enayat MJahanbakhsh A(2024)Robot-Assisted Language Learning: A Meta-AnalysisReview of Educational Research10.3102/00346543241247227Online publication date: 1-May-2024
https://doi.org/10.3102/00346543241247227
Wang FCheung A(2024)Robots’ Social Behaviors for Language Learning: A Systematic Review and Meta-AnalysisReview of Educational Research10.3102/00346543231216437Online publication date: 3-Jan-2024
https://doi.org/10.3102/00346543231216437
선 현(2024)A.I. Chatbot과의 실시간 문자기반 대화를 통한 영어학습: 한국인 영어학습자 사례연구Modern English Education10.18095/meeso.2024.25.1.11525(115-127)Online publication date: 30-Jan-2024
https://doi.org/10.18095/meeso.2024.25.1.115
Wu XLi R(2024)Effects of Robot-Assisted Language Learning on English-as-a-Foreign-Language Skill DevelopmentJournal of Educational Computing Research10.1177/0735633123122617162:4(1010-1034)Online publication date: 10-Jan-2024
https://doi.org/10.1177/07356331231226171
Oralbayeva NZhanatkyzy AAmir ATelisheva ZSandygulova A(2024)Moveable Alipbi: A Montessori-inspired Design of Long-Term Child-Robot Interaction for Early Literacy DevelopmentProceedings of the 23rd Annual ACM Interaction Design and Children Conference10.1145/3628516.3663347(587-599)Online publication date: 17-Jun-2024
https://dl.acm.org/doi/10.1145/3628516.3663347
Verhelst EJanssens RDemeester TBelpaeme TGrollman DBroadbent EJu WSoh HWilliams T(2024)Adaptive Second Language Tutoring Using Generative AI and a Social RobotCompanion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction10.1145/3610978.3640559(1080-1084)Online publication date: 11-Mar-2024
https://dl.acm.org/doi/10.1145/3610978.3640559
Kamelabad AGrollman DBroadbent EJu WSoh HWilliams T(2024)The Question Is Not Whether; It Is How!Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction10.1145/3610978.3638377(112-114)Online publication date: 11-Mar-2024
https://dl.acm.org/doi/10.1145/3610978.3638377
Shafiee Rad HRoohani A(2024)Fostering L2 Learners’ Pronunciation and Motivation via Affordances of Artificial IntelligenceComputers in the Schools10.1080/07380569.2024.2330427(1-22)Online publication date: 5-Apr-2024
https://doi.org/10.1080/07380569.2024.2330427
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