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Title:
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CONSTRUCTING A STUDENT ENGAGEMENT
AND LEARNING DEVELOPMENT MODEL IN MOBILE
LEARNING BY SEM |
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Author(s):
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Shu-Jing Wu, Feng-Lan Liu, Yan-Yu Xu, Tin-Chang Chang3 and Zeng-Han Lee |
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ISBN:
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978-989-8704-47-4 |
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Editors:
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Piet Kommers, Inmaculada Arnedillo Sánchez and Pedro Isaías |
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Year:
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2023 |
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Edition:
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Single |
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Keywords:
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Mobile Learning, Student Engagement, Learning Development, Junior High School, COVID-19 Pandemic, Structural
Equation Modeling (SEM) |
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Type:
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Full Paper |
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First Page:
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259 |
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Last Page:
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266 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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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 (?2
(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 (r2 = 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. |
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