View in EDS

Investigating the Role of Mindful, Meaningful, and Joyful Learning in Promoting Deep Learning in AI-Based Language Learning

Saved in:
Bibliographic Details
Title: Investigating the Role of Mindful, Meaningful, and Joyful Learning in Promoting Deep Learning in AI-Based Language Learning
Language: English
Authors: Made Hery Santosa (ORCID 0000-0003-1905-8117), I Putu Indra Kusuma (ORCID 0000-0002-1574-6070), Luh Gd Rahayu Budiarta (ORCID 0000-0001-6565-9349)
Source: Australian Journal of Applied Linguistics. 2026 9.
Availability: Castledown Publishers. Ground Level, 470 St Kilda Road, Melbourne, 3004, Australia. Tel: +61-3-7003-8355; e-mail: contact@castledown.com; Web site: https://castledown.online/journals/ajal/
Peer Reviewed: Y
Page Count: 18
Publication Date: 2026
Document Type: Journal Articles
Reports - Research
Education Level: Higher Education
Postsecondary Education
Descriptors: Artificial Intelligence, Second Language Learning, English (Second Language), Student Attitudes, Learner Engagement, Psychological Patterns, Emotional Response, Preservice Teachers, Preservice Teacher Education, Language Teachers, Technology Uses in Education, Gamification, Student Motivation
ISSN: 2209-0959
Abstract: This study aimed to investigate whether Mindful Learning (MiL), Meaningful Learning (MeL), and Joyful Learning (JL) are predictors of Deep Learning (DL) in AI-based language learning. The study employed a convergent mixed-methods design by combining phenomenology and "ex-post facto" approaches. This study recruited eight EFL students for the interviews and 276 EFL students for the quantitative part. The data were collected through semi-structured interviews, researcher field notes, and questionnaires. The data were analyzed using inductive thematic analysis, descriptive statistics, "Pearson Product Moment," and "Structural Equation Modeling (SEM)." The findings revealed that qualitatively, MiL, MeL, and JL are related to DL. However, the SEM outputs indicated that JL is the only non-predictor. The study offers four implications directed for the use of AI-based applications in facilitating DL in AI-based learning in EFL contexts.
Abstractor: As Provided
Entry Date: 2026
Accession Number: EJ1496282
Database: ERIC
FullText Text:
  Availability: 0
CustomLinks:
  – Url: https://eric.ed.gov/contentdelivery/servlet/ERICServlet?accno=EJ1496282
    Name: ERIC Full Text
    Category: fullText
    Text: Full Text from ERIC
Header DbId: eric
DbLabel: ERIC
An: EJ1496282
AccessLevel: 3
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Investigating the Role of Mindful, Meaningful, and Joyful Learning in Promoting Deep Learning in AI-Based Language Learning
– Name: Language
  Label: Language
  Group: Lang
  Data: English
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Made+Hery+Santosa%22">Made Hery Santosa</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0003-1905-8117">0000-0003-1905-8117</externalLink>)<br /><searchLink fieldCode="AR" term="%22I+Putu+Indra+Kusuma%22">I Putu Indra Kusuma</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0002-1574-6070">0000-0002-1574-6070</externalLink>)<br /><searchLink fieldCode="AR" term="%22Luh+Gd+Rahayu+Budiarta%22">Luh Gd Rahayu Budiarta</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0001-6565-9349">0000-0001-6565-9349</externalLink>)
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="SO" term="%22Australian+Journal+of+Applied+Linguistics%22"><i>Australian Journal of Applied Linguistics</i></searchLink>. 2026 9.
– Name: Avail
  Label: Availability
  Group: Avail
  Data: Castledown Publishers. Ground Level, 470 St Kilda Road, Melbourne, 3004, Australia. Tel: +61-3-7003-8355; e-mail: contact@castledown.com; Web site: https://castledown.online/journals/ajal/
– Name: PeerReviewed
  Label: Peer Reviewed
  Group: SrcInfo
  Data: Y
– Name: Pages
  Label: Page Count
  Group: Src
  Data: 18
– Name: DatePubCY
  Label: Publication Date
  Group: Date
  Data: 2026
– Name: TypeDocument
  Label: Document Type
  Group: TypDoc
  Data: Journal Articles<br />Reports - Research
– Name: Audience
  Label: Education Level
  Group: Audnce
  Data: <searchLink fieldCode="EL" term="%22Higher+Education%22">Higher Education</searchLink><br /><searchLink fieldCode="EL" term="%22Postsecondary+Education%22">Postsecondary Education</searchLink>
– Name: Subject
  Label: Descriptors
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Artificial+Intelligence%22">Artificial Intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22Second+Language+Learning%22">Second Language Learning</searchLink><br /><searchLink fieldCode="DE" term="%22English+%28Second+Language%29%22">English (Second Language)</searchLink><br /><searchLink fieldCode="DE" term="%22Student+Attitudes%22">Student Attitudes</searchLink><br /><searchLink fieldCode="DE" term="%22Learner+Engagement%22">Learner Engagement</searchLink><br /><searchLink fieldCode="DE" term="%22Psychological+Patterns%22">Psychological Patterns</searchLink><br /><searchLink fieldCode="DE" term="%22Emotional+Response%22">Emotional Response</searchLink><br /><searchLink fieldCode="DE" term="%22Preservice+Teachers%22">Preservice Teachers</searchLink><br /><searchLink fieldCode="DE" term="%22Preservice+Teacher+Education%22">Preservice Teacher Education</searchLink><br /><searchLink fieldCode="DE" term="%22Language+Teachers%22">Language Teachers</searchLink><br /><searchLink fieldCode="DE" term="%22Technology+Uses+in+Education%22">Technology Uses in Education</searchLink><br /><searchLink fieldCode="DE" term="%22Gamification%22">Gamification</searchLink><br /><searchLink fieldCode="DE" term="%22Student+Motivation%22">Student Motivation</searchLink>
– Name: ISSN
  Label: ISSN
  Group: ISSN
  Data: 2209-0959
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: This study aimed to investigate whether Mindful Learning (MiL), Meaningful Learning (MeL), and Joyful Learning (JL) are predictors of Deep Learning (DL) in AI-based language learning. The study employed a convergent mixed-methods design by combining phenomenology and "ex-post facto" approaches. This study recruited eight EFL students for the interviews and 276 EFL students for the quantitative part. The data were collected through semi-structured interviews, researcher field notes, and questionnaires. The data were analyzed using inductive thematic analysis, descriptive statistics, "Pearson Product Moment," and "Structural Equation Modeling (SEM)." The findings revealed that qualitatively, MiL, MeL, and JL are related to DL. However, the SEM outputs indicated that JL is the only non-predictor. The study offers four implications directed for the use of AI-based applications in facilitating DL in AI-based learning in EFL contexts.
– 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: EJ1496282
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eric&AN=EJ1496282
RecordInfo BibRecord:
  BibEntity:
    Languages:
      – Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 18
    Subjects:
      – SubjectFull: Artificial Intelligence
        Type: general
      – SubjectFull: Second Language Learning
        Type: general
      – SubjectFull: English (Second Language)
        Type: general
      – SubjectFull: Student Attitudes
        Type: general
      – SubjectFull: Learner Engagement
        Type: general
      – SubjectFull: Psychological Patterns
        Type: general
      – SubjectFull: Emotional Response
        Type: general
      – SubjectFull: Preservice Teachers
        Type: general
      – SubjectFull: Preservice Teacher Education
        Type: general
      – SubjectFull: Language Teachers
        Type: general
      – SubjectFull: Technology Uses in Education
        Type: general
      – SubjectFull: Gamification
        Type: general
      – SubjectFull: Student Motivation
        Type: general
    Titles:
      – TitleFull: Investigating the Role of Mindful, Meaningful, and Joyful Learning in Promoting Deep Learning in AI-Based Language Learning
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Made Hery Santosa
      – PersonEntity:
          Name:
            NameFull: I Putu Indra Kusuma
      – PersonEntity:
          Name:
            NameFull: Luh Gd Rahayu Budiarta
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-electronic
              Value: 2209-0959
          Numbering:
            – Type: volume
              Value: 9
          Titles:
            – TitleFull: Australian Journal of Applied Linguistics
              Type: main
ResultId 1