Digital learning resources and student success: Analyzing engagement and academic performance.

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Title: Digital learning resources and student success: Analyzing engagement and academic performance.
Authors: Wong, Adam1 adamwongch@suss.edu.sg, Wee Leong Lee2, Shun Liang Chan, Matthew3, Yi En Tan4, Mui Kheng Huang, Jennifer5, Yew Haur Lee6
Source: Journal of Applied Learning & Teaching (JALT). 2025 Special Issue, Vol. 8, p45-54. 10p.
Subject Terms: *Student engagement, *Learning management system, *Electronic textbooks, *Digital learning, *Educational outcomes, Multiple regression analysis
Abstract: This study examines the impact of student engagement with digital learning resources -- specifically sustained, timely, and distributed interactions with Learning Management Systems (LMS), e-textbooks, and digital study guides -- on academic achievement outcomes in higher education. Using multiple regression analysis on data from 1,591 undergraduate students, the research identifies LMS engagement as a significant predictor of academic success, with specific behaviors such as prompt and consistent access strongly associated with academic performance. In contrast, e-textbooks and study guides play a more supplementary role. By incorporating confounding variables like age, gender, and academic mileage, the study offers a nuanced understanding of these relationships, underscoring the importance of an integrated approach to enhancing student engagement and learning outcomes. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Applied Learning & Teaching (JALT) is the property of Kaplan Business School Pty Limited 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
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  Data: Digital learning resources and student success: Analyzing engagement and academic performance.
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  Data: <searchLink fieldCode="AR" term="%22Wong%2C+Adam%22">Wong, Adam</searchLink><relatesTo>1</relatesTo><i> adamwongch@suss.edu.sg</i><br /><searchLink fieldCode="AR" term="%22Wee+Leong+Lee%22">Wee Leong Lee</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Shun+Liang+Chan%2C+Matthew%22">Shun Liang Chan, Matthew</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AR" term="%22Yi+En+Tan%22">Yi En Tan</searchLink><relatesTo>4</relatesTo><br /><searchLink fieldCode="AR" term="%22Mui+Kheng+Huang%2C+Jennifer%22">Mui Kheng Huang, Jennifer</searchLink><relatesTo>5</relatesTo><br /><searchLink fieldCode="AR" term="%22Yew+Haur+Lee%22">Yew Haur Lee</searchLink><relatesTo>6</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Applied+Learning+%26+Teaching+%28JALT%29%22">Journal of Applied Learning & Teaching (JALT)</searchLink>. 2025 Special Issue, Vol. 8, p45-54. 10p.
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  Data: *<searchLink fieldCode="DE" term="%22Student+engagement%22">Student engagement</searchLink><br />*<searchLink fieldCode="DE" term="%22Learning+management+system%22">Learning management system</searchLink><br />*<searchLink fieldCode="DE" term="%22Electronic+textbooks%22">Electronic textbooks</searchLink><br />*<searchLink fieldCode="DE" term="%22Digital+learning%22">Digital learning</searchLink><br />*<searchLink fieldCode="DE" term="%22Educational+outcomes%22">Educational outcomes</searchLink><br /><searchLink fieldCode="DE" term="%22Multiple+regression+analysis%22">Multiple regression analysis</searchLink>
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  Data: This study examines the impact of student engagement with digital learning resources -- specifically sustained, timely, and distributed interactions with Learning Management Systems (LMS), e-textbooks, and digital study guides -- on academic achievement outcomes in higher education. Using multiple regression analysis on data from 1,591 undergraduate students, the research identifies LMS engagement as a significant predictor of academic success, with specific behaviors such as prompt and consistent access strongly associated with academic performance. In contrast, e-textbooks and study guides play a more supplementary role. By incorporating confounding variables like age, gender, and academic mileage, the study offers a nuanced understanding of these relationships, underscoring the importance of an integrated approach to enhancing student engagement and learning outcomes. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Journal of Applied Learning & Teaching (JALT) is the property of Kaplan Business School Pty Limited 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=183191060
RecordInfo BibRecord:
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        Value: 10.37074/jalt.2025.8.S2.3
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      – Code: eng
        Text: English
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      – SubjectFull: Student engagement
        Type: general
      – SubjectFull: Learning management system
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      – SubjectFull: Electronic textbooks
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      – SubjectFull: Digital learning
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      – SubjectFull: Multiple regression analysis
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              Text: 2025 Special Issue
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