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Constructing a Student Engagement and Learning Development Model in Mobile Learning by SEM

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Title: Constructing a Student Engagement and Learning Development Model in Mobile Learning by SEM
Language: English
Authors: Shu-Jing Wu, Feng-Lan Liu, Yan-Yu Xu, Tin-Chang Chang, Zeng-Han Lee
Source: International Association for Development of the Information Society. 2023.
Availability: International Association for the Development of the Information Society. e-mail: secretariat@iadis.org; Web site: http://www.iadisportal.org
Peer Reviewed: Y
Page Count: 8
Publication Date: 2023
Document Type: Speeches/Meeting Papers
Reports - Research
Education Level: Junior High Schools
Middle Schools
Secondary Education
Descriptors: Junior High School Students, Foreign Countries, Learner Engagement, Models, Electronic Learning, Influences, Learning, COVID-19, Pandemics, Emotional Response
Geographic Terms: China
Abstract: This study aimed to build a model to detect the factors to enhance student engagement and learning development in mobile learning during the COVID-19 Pandemic. Data from a total of 400 junior-high-school students were collected in China in the fall semester of 2020, and a large proportion of students preferred accessing their study with cellphones (67.0%) than with computers (11.8%), laptops (11.3%) or pads (10.0%). Exploratory factor analysis and structural equation modeling (SEM) were used for data analysis. The fitness of the items for each scale of the student engagement and learning development indicated a sufficient fit (X[superscript 2][subscript (19)] = 41.252, GIF = 0.974, AGFI = 0.951, CFI = 0.986, RMSEA = 0.054, NNFI = 0.979, IFI = 0.986). The results of SEM analysis show that emotional engagement is the most important factor (r[superscript 2] = 0.859) in the model, and student engagement has a significant positive impact on learning development in mobile learning. The findings of this study provide a good reference for enhancing student engagement or fostering students' learning development in mobile learning. [For the full proceedings, see ED639391.]
Abstractor: As Provided
Entry Date: 2024
Accession Number: ED639521
Database: ERIC
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  Data: Constructing a Student Engagement and Learning Development Model in Mobile Learning by SEM
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  Data: <searchLink fieldCode="AR" term="%22Shu-Jing+Wu%22">Shu-Jing Wu</searchLink><br /><searchLink fieldCode="AR" term="%22Feng-Lan+Liu%22">Feng-Lan Liu</searchLink><br /><searchLink fieldCode="AR" term="%22Yan-Yu+Xu%22">Yan-Yu Xu</searchLink><br /><searchLink fieldCode="AR" term="%22Tin-Chang+Chang%22">Tin-Chang Chang</searchLink><br /><searchLink fieldCode="AR" term="%22Zeng-Han+Lee%22">Zeng-Han Lee</searchLink>
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  Data: International Association for the Development of the Information Society. e-mail: secretariat@iadis.org; Web site: http://www.iadisportal.org
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  Data: <searchLink fieldCode="DE" term="%22Junior+High+School+Students%22">Junior High School Students</searchLink><br /><searchLink fieldCode="DE" term="%22Foreign+Countries%22">Foreign Countries</searchLink><br /><searchLink fieldCode="DE" term="%22Learner+Engagement%22">Learner Engagement</searchLink><br /><searchLink fieldCode="DE" term="%22Models%22">Models</searchLink><br /><searchLink fieldCode="DE" term="%22Electronic+Learning%22">Electronic Learning</searchLink><br /><searchLink fieldCode="DE" term="%22Influences%22">Influences</searchLink><br /><searchLink fieldCode="DE" term="%22Learning%22">Learning</searchLink><br /><searchLink fieldCode="DE" term="%22COVID-19%22">COVID-19</searchLink><br /><searchLink fieldCode="DE" term="%22Pandemics%22">Pandemics</searchLink><br /><searchLink fieldCode="DE" term="%22Emotional+Response%22">Emotional Response</searchLink>
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  Data: <searchLink fieldCode="DE" term="%22China%22">China</searchLink>
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  Data: This study aimed to build a model to detect the factors to enhance student engagement and learning development in mobile learning during the COVID-19 Pandemic. Data from a total of 400 junior-high-school students were collected in China in the fall semester of 2020, and a large proportion of students preferred accessing their study with cellphones (67.0%) than with computers (11.8%), laptops (11.3%) or pads (10.0%). Exploratory factor analysis and structural equation modeling (SEM) were used for data analysis. The fitness of the items for each scale of the student engagement and learning development indicated a sufficient fit (X[superscript 2][subscript (19)] = 41.252, GIF = 0.974, AGFI = 0.951, CFI = 0.986, RMSEA = 0.054, NNFI = 0.979, IFI = 0.986). The results of SEM analysis show that emotional engagement is the most important factor (r[superscript 2] = 0.859) in the model, and student engagement has a significant positive impact on learning development in mobile learning. The findings of this study provide a good reference for enhancing student engagement or fostering students' learning development in mobile learning. [For the full proceedings, see ED639391.]
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      – Text: English
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        PageCount: 8
    Subjects:
      – SubjectFull: Junior High School Students
        Type: general
      – SubjectFull: Foreign Countries
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      – SubjectFull: Learner Engagement
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      – SubjectFull: Models
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      – SubjectFull: Electronic Learning
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      – SubjectFull: Influences
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      – SubjectFull: Pandemics
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      – SubjectFull: Emotional Response
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      – SubjectFull: China
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