THE INTENTION OF GENERATION Z TO USE MOBILE LEARNING: THE ROLE OF SELF-EFFICACY AND ENJOYMENT.

Saved in:
Bibliographic Details
Title: THE INTENTION OF GENERATION Z TO USE MOBILE LEARNING: THE ROLE OF SELF-EFFICACY AND ENJOYMENT.
Authors: FITRIATI, Azmi1 azmi.fitriati@gmail.com, ANGGORO, Subuh2 subuhanggoro@ump.ac.id, TALIB, Corrienna Abdul3 corrienna@utm.my, Tin Lam TOH4 tinlam.toh@nie.edu.sg
Source: Turkish Online Journal of Distance Education (TOJDE). Jan2025, Vol. 26 Issue 1, p85-100. 16p.
Subject Terms: *Mobile learning, *Problem solving, Digital technology, Technology Acceptance Model, Generation Z, Self-efficacy
Abstract: The Technology Acceptance Model (TAM) is a concise and efficient predictive model used to explain the acceptance of m-learning technology. However, several studies have shown that TAM cannot fully explain the acceptance of m-learning among Generation Z. This study aims to formulate TAM as a model of m-learning acceptance for Generation Z. TAM developed based on self-efficacy and enjoyment is expected to explain the behavior of Generation Z in accepting m-learning. This study uses a survey approach, utilizing PLS-SEM as an analysis tool and primary data collected through questionnaires. Participants in this study were 563 students who used m-learning (on class application) at the Muhammadiyah University of Purwokerto, Indonesia. The results contribute to the formulation of a successful m-learning implementation model for Generation Z. These results provide empirical support indicating that selfefficacy and perceived enjoyment cause them to use m-learning now and in the future. Generation Z, who grew up in the digital era, has a high level of proficiency in using technology. Self-efficacy increases user optimism. They are confident in their ability to complete tasks and solve problems when using m-learning. Enjoyment can increase the belief that m-learning is user-friendly and useful. The results of this study support the theory of self-efficacy which states that user beliefs serve as the best predictors of their behavior in using technology in mobile learning. [ABSTRACT FROM AUTHOR]
Copyright of Turkish Online Journal of Distance Education (TOJDE) is the property of Turkish Online Journal of Distance Education and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Education Research Complete
FullText Links:
  – Type: pdflink
Text:
  Availability: 0
Header DbId: ehh
DbLabel: Education Research Complete
An: 182317246
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: THE INTENTION OF GENERATION Z TO USE MOBILE LEARNING: THE ROLE OF SELF-EFFICACY AND ENJOYMENT.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22FITRIATI%2C+Azmi%22">FITRIATI, Azmi</searchLink><relatesTo>1</relatesTo><i> azmi.fitriati@gmail.com</i><br /><searchLink fieldCode="AR" term="%22ANGGORO%2C+Subuh%22">ANGGORO, Subuh</searchLink><relatesTo>2</relatesTo><i> subuhanggoro@ump.ac.id</i><br /><searchLink fieldCode="AR" term="%22TALIB%2C+Corrienna+Abdul%22">TALIB, Corrienna Abdul</searchLink><relatesTo>3</relatesTo><i> corrienna@utm.my</i><br /><searchLink fieldCode="AR" term="%22Tin+Lam+TOH%22">Tin Lam TOH</searchLink><relatesTo>4</relatesTo><i> tinlam.toh@nie.edu.sg</i>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Turkish+Online+Journal+of+Distance+Education+%28TOJDE%29%22">Turkish Online Journal of Distance Education (TOJDE)</searchLink>. Jan2025, Vol. 26 Issue 1, p85-100. 16p.
– Name: Subject
  Label: Subject Terms
  Group: Su
  Data: *<searchLink fieldCode="DE" term="%22Mobile+learning%22">Mobile learning</searchLink><br />*<searchLink fieldCode="DE" term="%22Problem+solving%22">Problem solving</searchLink><br /><searchLink fieldCode="DE" term="%22Digital+technology%22">Digital technology</searchLink><br /><searchLink fieldCode="DE" term="%22Technology+Acceptance+Model%22">Technology Acceptance Model</searchLink><br /><searchLink fieldCode="DE" term="%22Generation+Z%22">Generation Z</searchLink><br /><searchLink fieldCode="DE" term="%22Self-efficacy%22">Self-efficacy</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: The Technology Acceptance Model (TAM) is a concise and efficient predictive model used to explain the acceptance of m-learning technology. However, several studies have shown that TAM cannot fully explain the acceptance of m-learning among Generation Z. This study aims to formulate TAM as a model of m-learning acceptance for Generation Z. TAM developed based on self-efficacy and enjoyment is expected to explain the behavior of Generation Z in accepting m-learning. This study uses a survey approach, utilizing PLS-SEM as an analysis tool and primary data collected through questionnaires. Participants in this study were 563 students who used m-learning (on class application) at the Muhammadiyah University of Purwokerto, Indonesia. The results contribute to the formulation of a successful m-learning implementation model for Generation Z. These results provide empirical support indicating that selfefficacy and perceived enjoyment cause them to use m-learning now and in the future. Generation Z, who grew up in the digital era, has a high level of proficiency in using technology. Self-efficacy increases user optimism. They are confident in their ability to complete tasks and solve problems when using m-learning. Enjoyment can increase the belief that m-learning is user-friendly and useful. The results of this study support the theory of self-efficacy which states that user beliefs serve as the best predictors of their behavior in using technology in mobile learning. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Turkish Online Journal of Distance Education (TOJDE) is the property of Turkish Online Journal of Distance Education and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=ehh&AN=182317246
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.17718/tojde.1445234
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 16
        StartPage: 85
    Subjects:
      – SubjectFull: Mobile learning
        Type: general
      – SubjectFull: Problem solving
        Type: general
      – SubjectFull: Digital technology
        Type: general
      – SubjectFull: Technology Acceptance Model
        Type: general
      – SubjectFull: Generation Z
        Type: general
      – SubjectFull: Self-efficacy
        Type: general
    Titles:
      – TitleFull: THE INTENTION OF GENERATION Z TO USE MOBILE LEARNING: THE ROLE OF SELF-EFFICACY AND ENJOYMENT.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: FITRIATI, Azmi
      – PersonEntity:
          Name:
            NameFull: ANGGORO, Subuh
      – PersonEntity:
          Name:
            NameFull: TALIB, Corrienna Abdul
      – PersonEntity:
          Name:
            NameFull: Tin Lam TOH
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 01
              Text: Jan2025
              Type: published
              Y: 2025
          Identifiers:
            – Type: issn-print
              Value: 13026488
          Numbering:
            – Type: volume
              Value: 26
            – Type: issue
              Value: 1
          Titles:
            – TitleFull: Turkish Online Journal of Distance Education (TOJDE)
              Type: main
ResultId 1