Using generative AI tools and LARA to create multimodal language learning resources for L2 Icelandic

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

We utilize ChatGPT and other generative AI tools in developing illustrated multimodal resources for learning Icelandic as a second language (L2) via reading in the online platform LARA. These are illustrated short stories in Icelandic created using specific prompts including information about learner levels and age groups. We present a methodology for creating engaging stories and a way to evaluate the quality and suitability of text and images generated by AI. Additionally, we assess how 46 adult learners perceived reading a story at A1 and A2 level in LARA, with a positive vocabulary learning effect. We conclude that generating suitable prompts greatly assists with getting the desired output; however, this is restricted to the language one works with. Much human post-editing is still necessary for Icelandic texts to improve their quality in grammar, vocabulary, and cultural aspects, and their suitability for language teaching.
Original languageEnglish
Title of host publicationUsing generative AI tools and LARA to create multimodal language learning resources for L2 Icelandic
Place of PublicationValencia
PublisherUniversity of Valencia
Pages278-292
Number of pages15
ISBN (Electronic)978-84-1396-131-6
DOIs
Publication statusPublished - 2023
EventEUROCALL 2023: CALL for All Languages 15-18 August 2023, University of Iceland, Reykjavik - Háskóli Íslands, Reykjavík, Iceland
Duration: 15 Aug 202318 Aug 2023

Conference

ConferenceEUROCALL 2023: CALL for All Languages 15-18 August 2023, University of Iceland, Reykjavik
Abbreviated titleEUROCALL 2023
Country/TerritoryIceland
CityReykjavík
Period15/08/2318/08/23

Other keywords

  • Icelandic as a Second Language
  • Language Education
  • artificial intelligence (AI)
  • generative AI
  • reading competence

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