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An Empirical Analysis of School Students' Continuance Intention to Use Mobile Learning

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Title: An Empirical Analysis of School Students' Continuance Intention to Use Mobile Learning
Language: English
Authors: Yashdeep Singh, Pradeep Kumar Suri
Source: Journal of Teaching and Learning. 2026 20(2):195-218.
Availability: Journal of Teaching and Learning. 401 Sunset Ave. Faculty of Education, University of Windsor, Windsor, Ontario, Canada N9B 3P4. Tel: 519-253-3000 Ext. 4068; e-mail: jtl@uwindsor.ca; Web site: https://ojs.uwindsor.ca/index.php/JTL
Peer Reviewed: Y
Page Count: 24
Publication Date: 2026
Document Type: Journal Articles
Reports - Research
Education Level: Secondary Education
Descriptors: Telecommunications, Handheld Devices, Intention, Technology Uses in Education, Student Attitudes, Public Schools, Private Schools, Social Influences, Value Judgment, Psychological Patterns, Foreign Countries, Secondary School Students
Geographic Terms: India
ISSN: 1492-1154
1911-8279
Abstract: School students are increasingly using mobile applications to enhance their learning. The adoption of mobile learning (m-learning) apps by students was accelerated by nearly two years of partial or complete school closures due to the Coronavirus disease (COVID-19) pandemic. The students adopted and experienced m-learning. The intention to continue using a technology is determined by several factors. This study used the factors adapted from the Technology Acceptance Model (TAM) and Unified Theory of Acceptance and Use of Technology (UTAUT) to examine a school student's continuance intention (CI) to use m-learning. Structural equation modelling analysis was used to investigate the impact of social influence (SI), facilitating conditions (FC), perceived usefulness (PU), and perceived enjoyment (PE) on CI. The study collected data from 366 students attending public and private schools in the National Capital Territory (NCT) of Delhi, India, using a paper-based survey. The results revealed that SI and PE predicted CI. Interestingly, PU had an insignificant direct but significant indirect effect on CI. In addition, implications for researchers, m-learning app managers, and developers are discussed.
Abstractor: As Provided
Entry Date: 2026
Accession Number: EJ1508207
Database: ERIC
FullText Text:
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  Data: An Empirical Analysis of School Students' Continuance Intention to Use Mobile Learning
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  Data: Journal of Teaching and Learning. 401 Sunset Ave. Faculty of Education, University of Windsor, Windsor, Ontario, Canada N9B 3P4. Tel: 519-253-3000 Ext. 4068; e-mail: jtl@uwindsor.ca; Web site: https://ojs.uwindsor.ca/index.php/JTL
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  Data: <searchLink fieldCode="DE" term="%22Telecommunications%22">Telecommunications</searchLink><br /><searchLink fieldCode="DE" term="%22Handheld+Devices%22">Handheld Devices</searchLink><br /><searchLink fieldCode="DE" term="%22Intention%22">Intention</searchLink><br /><searchLink fieldCode="DE" term="%22Technology+Uses+in+Education%22">Technology Uses in Education</searchLink><br /><searchLink fieldCode="DE" term="%22Student+Attitudes%22">Student Attitudes</searchLink><br /><searchLink fieldCode="DE" term="%22Public+Schools%22">Public Schools</searchLink><br /><searchLink fieldCode="DE" term="%22Private+Schools%22">Private Schools</searchLink><br /><searchLink fieldCode="DE" term="%22Social+Influences%22">Social Influences</searchLink><br /><searchLink fieldCode="DE" term="%22Value+Judgment%22">Value Judgment</searchLink><br /><searchLink fieldCode="DE" term="%22Psychological+Patterns%22">Psychological Patterns</searchLink><br /><searchLink fieldCode="DE" term="%22Foreign+Countries%22">Foreign Countries</searchLink><br /><searchLink fieldCode="DE" term="%22Secondary+School+Students%22">Secondary School Students</searchLink>
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  Data: School students are increasingly using mobile applications to enhance their learning. The adoption of mobile learning (m-learning) apps by students was accelerated by nearly two years of partial or complete school closures due to the Coronavirus disease (COVID-19) pandemic. The students adopted and experienced m-learning. The intention to continue using a technology is determined by several factors. This study used the factors adapted from the Technology Acceptance Model (TAM) and Unified Theory of Acceptance and Use of Technology (UTAUT) to examine a school student's continuance intention (CI) to use m-learning. Structural equation modelling analysis was used to investigate the impact of social influence (SI), facilitating conditions (FC), perceived usefulness (PU), and perceived enjoyment (PE) on CI. The study collected data from 366 students attending public and private schools in the National Capital Territory (NCT) of Delhi, India, using a paper-based survey. The results revealed that SI and PE predicted CI. Interestingly, PU had an insignificant direct but significant indirect effect on CI. In addition, implications for researchers, m-learning app managers, and developers are discussed.
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    Languages:
      – Text: English
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      Pagination:
        PageCount: 24
        StartPage: 195
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      – SubjectFull: Telecommunications
        Type: general
      – SubjectFull: Handheld Devices
        Type: general
      – SubjectFull: Intention
        Type: general
      – SubjectFull: Technology Uses in Education
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      – SubjectFull: Student Attitudes
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      – SubjectFull: Public Schools
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      – SubjectFull: Private Schools
        Type: general
      – SubjectFull: Social Influences
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      – SubjectFull: Value Judgment
        Type: general
      – SubjectFull: Psychological Patterns
        Type: general
      – SubjectFull: Foreign Countries
        Type: general
      – SubjectFull: Secondary School Students
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      – SubjectFull: India
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            NameFull: Pradeep Kumar Suri
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              Type: published
              Y: 2026
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