Integration of computer-aided language learning into formal university-level L2 instruction

Nataliya Stoyanova*, Jue Hou, Mikhail Kopotev, Roman Yangarber

*Autore corrispondente per questo lavoro

Risultato della ricerca: Contributo in rivistaArticolo in rivistapeer review

Abstract

This paper presents our experience from pilot studies оn integration of intelligent learning and tutoring tools into official curricula for foreign/second-language (L2) learning. We report specifically on initial studies with learners of Russian as a second language at major universities in Italy and in Finland. An important challenge in both of these educational situations is the heterogeneous nature of the student contingent, including the presence of a sizable proportion of ‘heritage’ learners. Furthermore, the groups are often very large, which motivates the integration of an ICALL system. We describe the first integration attempt, an analysis of the emerging aspects and problems, and the design of a new experiment, which is on-going and takes into account the lessons learned. To the best of our knowledge, this is the first report on large-scale ICALL studies involving substantial numbers of ‘high-stakes’ learners of Russian at the intermediate-to-advanced levels – i.e., learners beyond the elementary level.
Lingua originaleEnglish
pagine (da-a)117-126
Numero di pagine10
RivistaL'ANALISI LINGUISTICA E LETTERARIA
VolumeXXIX
Stato di pubblicazionePubblicato - 2021

Keywords

  • ICALL
  • Russian language
  • adaptive testing
  • distance learning
  • intelligent computer-aided language learning
  • learning analytics

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