View in EDS

Emotional Fluctuations in AI-Enhanced Ecosystems: Exploring EFL Learners' Affective States during AI Technology Adoption

Saved in:
Bibliographic Details
Title: Emotional Fluctuations in AI-Enhanced Ecosystems: Exploring EFL Learners' Affective States during AI Technology Adoption
Language: English
Authors: Yu Zhang (ORCID 0009-0009-2284-8663), Yang Lin (ORCID 0009-0000-2552-6840)
Source: European Journal of Education. 2026 61(2).
Availability: Wiley. Available from: John Wiley & Sons, Inc. 111 River Street, Hoboken, NJ 07030. Tel: 800-835-6770; e-mail: cs-journals@wiley.com; Web site: https://www.wiley.com/en-us
Peer Reviewed: Y
Page Count: 10
Publication Date: 2026
Document Type: Journal Articles
Reports - Research
Descriptors: Artificial Intelligence, English (Second Language), Second Language Learning, Affective Behavior, Psychological Patterns, Technology Integration, Technology Uses in Education, Second Language Instruction, Foreign Countries, Student Attitudes, Intervention, Teaching Methods
Geographic Terms: China
DOI: 10.1111/ejed.70687
ISSN: 0141-8211
1465-3435
Abstract: Various aspects of artificial intelligence (AI) adoption have been studied in second/foreign language (L2) education over the past decade. However, insufficient attention has been paid to the long-term affective fluctuations associated with the integration of AI tools in English as a foreign language (EFL) education. It remains unclear how such technologies shape and reshape learners' classroom emotions over time. Drawing on the technology acceptance model (TAM) and control-value theory (CVT) of emotions, this study examined Chinese EFL students' emotional fluctuations during an AI-mediated course over two semesters. A longitudinal interventional research design was adopted. Questionnaire data were collected from 261 Chinese EFL students at three time points: the beginning, middle and end of an AI-mediated course. The data were analysed using latent growth curve modelling (LGCM). The results revealed significant changes in both positive and negative emotions induced by AI over time. A negative correlation was also observed between positive and negative emotions, indicating that as learners' positive emotions increased, their negative emotions decreased. This study provides empirical evidence for understanding the dynamic emotional effects of AI integration in EFL education. It also offers pedagogical implications for developing emotion-oriented AI-mediated L2 education.
Abstractor: As Provided
Entry Date: 2026
Accession Number: EJ1506970
Database: ERIC
FullText Text:
  Availability: 0
Header DbId: eric
DbLabel: ERIC
An: EJ1506970
AccessLevel: 3
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Emotional Fluctuations in AI-Enhanced Ecosystems: Exploring EFL Learners' Affective States during AI Technology Adoption
– Name: Language
  Label: Language
  Group: Lang
  Data: English
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Yu+Zhang%22">Yu Zhang</searchLink> (ORCID <externalLink term="https://orcid.org/0009-0009-2284-8663">0009-0009-2284-8663</externalLink>)<br /><searchLink fieldCode="AR" term="%22Yang+Lin%22">Yang Lin</searchLink> (ORCID <externalLink term="https://orcid.org/0009-0000-2552-6840">0009-0000-2552-6840</externalLink>)
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="SO" term="%22European+Journal+of+Education%22"><i>European Journal of Education</i></searchLink>. 2026 61(2).
– Name: Avail
  Label: Availability
  Group: Avail
  Data: Wiley. Available from: John Wiley & Sons, Inc. 111 River Street, Hoboken, NJ 07030. Tel: 800-835-6770; e-mail: cs-journals@wiley.com; Web site: https://www.wiley.com/en-us
– Name: PeerReviewed
  Label: Peer Reviewed
  Group: SrcInfo
  Data: Y
– Name: Pages
  Label: Page Count
  Group: Src
  Data: 10
– Name: DatePubCY
  Label: Publication Date
  Group: Date
  Data: 2026
– Name: TypeDocument
  Label: Document Type
  Group: TypDoc
  Data: Journal Articles<br />Reports - Research
– Name: Subject
  Label: Descriptors
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Artificial+Intelligence%22">Artificial Intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22English+%28Second+Language%29%22">English (Second Language)</searchLink><br /><searchLink fieldCode="DE" term="%22Second+Language+Learning%22">Second Language Learning</searchLink><br /><searchLink fieldCode="DE" term="%22Affective+Behavior%22">Affective Behavior</searchLink><br /><searchLink fieldCode="DE" term="%22Psychological+Patterns%22">Psychological Patterns</searchLink><br /><searchLink fieldCode="DE" term="%22Technology+Integration%22">Technology Integration</searchLink><br /><searchLink fieldCode="DE" term="%22Technology+Uses+in+Education%22">Technology Uses in Education</searchLink><br /><searchLink fieldCode="DE" term="%22Second+Language+Instruction%22">Second Language Instruction</searchLink><br /><searchLink fieldCode="DE" term="%22Foreign+Countries%22">Foreign Countries</searchLink><br /><searchLink fieldCode="DE" term="%22Student+Attitudes%22">Student Attitudes</searchLink><br /><searchLink fieldCode="DE" term="%22Intervention%22">Intervention</searchLink><br /><searchLink fieldCode="DE" term="%22Teaching+Methods%22">Teaching Methods</searchLink>
– Name: Subject
  Label: Geographic Terms
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22China%22">China</searchLink>
– Name: DOI
  Label: DOI
  Group: ID
  Data: 10.1111/ejed.70687
– Name: ISSN
  Label: ISSN
  Group: ISSN
  Data: 0141-8211<br />1465-3435
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Various aspects of artificial intelligence (AI) adoption have been studied in second/foreign language (L2) education over the past decade. However, insufficient attention has been paid to the long-term affective fluctuations associated with the integration of AI tools in English as a foreign language (EFL) education. It remains unclear how such technologies shape and reshape learners' classroom emotions over time. Drawing on the technology acceptance model (TAM) and control-value theory (CVT) of emotions, this study examined Chinese EFL students' emotional fluctuations during an AI-mediated course over two semesters. A longitudinal interventional research design was adopted. Questionnaire data were collected from 261 Chinese EFL students at three time points: the beginning, middle and end of an AI-mediated course. The data were analysed using latent growth curve modelling (LGCM). The results revealed significant changes in both positive and negative emotions induced by AI over time. A negative correlation was also observed between positive and negative emotions, indicating that as learners' positive emotions increased, their negative emotions decreased. This study provides empirical evidence for understanding the dynamic emotional effects of AI integration in EFL education. It also offers pedagogical implications for developing emotion-oriented AI-mediated L2 education.
– Name: AbstractInfo
  Label: Abstractor
  Group: Ab
  Data: As Provided
– Name: DateEntry
  Label: Entry Date
  Group: Date
  Data: 2026
– Name: AN
  Label: Accession Number
  Group: ID
  Data: EJ1506970
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eric&AN=EJ1506970
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1111/ejed.70687
    Languages:
      – Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 10
    Subjects:
      – SubjectFull: Artificial Intelligence
        Type: general
      – SubjectFull: English (Second Language)
        Type: general
      – SubjectFull: Second Language Learning
        Type: general
      – SubjectFull: Affective Behavior
        Type: general
      – SubjectFull: Psychological Patterns
        Type: general
      – SubjectFull: Technology Integration
        Type: general
      – SubjectFull: Technology Uses in Education
        Type: general
      – SubjectFull: Second Language Instruction
        Type: general
      – SubjectFull: Foreign Countries
        Type: general
      – SubjectFull: Student Attitudes
        Type: general
      – SubjectFull: Intervention
        Type: general
      – SubjectFull: Teaching Methods
        Type: general
      – SubjectFull: China
        Type: general
    Titles:
      – TitleFull: Emotional Fluctuations in AI-Enhanced Ecosystems: Exploring EFL Learners' Affective States during AI Technology Adoption
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Yu Zhang
      – PersonEntity:
          Name:
            NameFull: Yang Lin
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 06
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-print
              Value: 0141-8211
            – Type: issn-electronic
              Value: 1465-3435
          Numbering:
            – Type: volume
              Value: 61
            – Type: issue
              Value: 2
          Titles:
            – TitleFull: European Journal of Education
              Type: main
ResultId 1