Artificial intelligence-assisted personalized language learning: systematic review and co-citation analysis

Xieling CHEN, Di ZOU, Gary CHENG, Haoran XIE

Research output: Book Chapters | Papers in Conference ProceedingsConference paper (refereed)Researchpeer-review

22 Citations (Scopus)

Abstract

Artificial intelligence (AI) for personalized learning has attracted increasing attention in various educational contexts and domains, including language learning. This study systematically reviewed academic studies on AI-assisted personalized language learning (PLL) from the perspectives of article trends, top journals, countries/regions and institutions, AI technology types, learning outcomes and supports, participants, scientific collaborations, and co-citation relations. Results indicated Taiwanese institutions’ predominance in the field and the prevalent use of intelligent tutoring systems, natural language processing, and artificial neural network in facilitating personalized diagnosis and learning path and material recommendations in language learning. Furthermore, students’ improved language outcomes and positive perception, satisfaction, or motivation towards language learning and AI technologies were commonly reported. The co-authorship analysis results indicated the close inter-regional collaborations, while the cross-regional collaborations are expected to be enhanced. The co-citation network analysis results highlighted the significance of fuzzy systems and item response theory. Additionally, learner profiling mining and learning resource adaptation were important directions to realize mobile- and web-based PLL.
Original languageEnglish
Title of host publicationProceedings - IEEE 21st International Conference on Advanced Learning Technologies, ICALT 2021
EditorsMaiga Chang, Nian-Shing Chen, Demetrios G Sampson, Ahmed Tlili
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages241-245
Number of pages5
ISBN (Electronic)9781665441063
DOIs
Publication statusPublished - Jul 2021
Event21st IEEE International Conference on Advanced Learning Technologies - Tartu, Estonia, Virtual, Online, Malaysia
Duration: 12 Jul 202115 Jul 2021

Publication series

NameProceedings - IEEE 21st International Conference on Advanced Learning Technologies, ICALT 2021

Conference

Conference21st IEEE International Conference on Advanced Learning Technologies
Abbreviated titleICALT 2021
Country/TerritoryMalaysia
CityVirtual, Online
Period12/07/2115/07/21

Bibliographical note

Publisher Copyright:
© 2021 IEEE.

Keywords

  • Artificial intelligence
  • Co-citation network analysis
  • Personalized language learning
  • Systematic review

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