Supporting Second Language Learners through SKANDIBOT: A Lexicographical Design Approach

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Abstract

Migrant professional language learners need to be supported in acquiring a second language effectively beyond the classroom. These learners frequently lack opportunities to participate in language classes due to full-time jobs. Yet, quick acquisition of the target language is a needed prerequisite for their successful integration into job settings and the host society. To assist these learners in their smooth acquisition of the target language, this study takes advantage of the recent developments in artificial intelligence and presents the design of a chatbot, called SKANDIBOT aimed at fostering second language learners’ conversational practice in professional work settings of Sweden and Denmark. The results of this work-in-progress study indicate that both healthcare and learning professionals perceive the overall interaction design of SKANDIBOT and the information offered in it to be useful for their second language acquisition.
Original languageEnglish
Title of host publicationProceedings 2022 International Conference on Advanced Learning Technologies, ICALT 2022
EditorsMaiga Chang, Nian-Shing Chen, Mihai Dascalu, Demetrios G. Sampson, Ahmed Tlili, Stefan Trausan-Matu
Number of pages3
Place of PublicationLos Alamitos, CA
PublisherIEEE
Publication date2022
Pages239-241
ISBN (Print)9781665495202
ISBN (Electronic)9781665495196
DOIs
Publication statusPublished - 2022
EventThe 22nd IEEE International Conference on Advanced Learning Technologies. ICALT 2022 - University Politehnica of Bucharest, Bucharest, Romania
Duration: 1 Jul 20224 Jul 2022
Conference number: 22
https://tc.computer.org/tclt/icalt-2022-conference-program/

Conference

ConferenceThe 22nd IEEE International Conference on Advanced Learning Technologies. ICALT 2022
Number22
LocationUniversity Politehnica of Bucharest
Country/TerritoryRomania
CityBucharest
Period01/07/202204/07/2022
Internet address
SeriesProceedings IEEE International Conference on Advanced Learning Technologies
ISSN2161-3761

Keywords

  • Medical services
  • Chatbots
  • Artificial intelligence
  • Computer aided instruction
  • Linguistics
  • Learning professionals
  • Interaction design
  • Language acquisition
  • Lexicographical design approach
  • Migrant professional language learners
  • Language classes
  • Quick acquisition
  • Target language
  • Job settings
  • Professional work settings
  • Work-in-progress study
  • Healthcare
  • SKANDIBOT
  • Sweden
  • Denmark
  • Chatbot
  • Second language learning acquisition
  • Lexicographical design

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