The E-books and Students’ Mathematics Performance: A Qualitative Systematic Review

This research explores the impact of digital books on student’s performance in mathematics. The theoretical arguments of this research are based on the self-regulated learning theory. To employ the complete research strategy, 65 papers were retrieved in the first round of research, including 30 from ERIC, 20 from Science Direct, and 15 from EBSCO. Following that, only 40 papers produced findings from the major section screening. The article’s systematic literature review and thematic analysis of the published material resulted in a sample size of 23 articles for this study. A qualitative thematic analysis Software, NVivo 12, was used to evaluate qualitative data. The findings indicated that motivation, technological advancement, information technology, learning objectives, sources for digital application, challenges of technology, traditional learning style and visual information have a significant collision with students’ mathematical learning.

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Publication Details

Journal
Páginas de Educación
Published
2024-08-29
DOI
https://doi.org/10.22235/pe.v17i2.3479
Citations
2
Primary Topic
Technology Adoption and User Behaviour
Type
article
Field-Weighted Citation Impact
2.10
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article

The E-books and Students’ Mathematics Performance: A Qualitative Systematic Review

Sami Alshehri
2 citations
Páginas de Educación
Technology Adoption and User Behaviour
2.10
article

The E-books and Students’ Mathematics Performance: A Qualitative Systematic Review

Sami Alshehri
article en
2 citations

Abstract

This research explores the impact of digital books on student’s performance in mathematics. The theoretical arguments of this research are based on the self-regulated learning theory. To employ the complete research strategy, 65 papers were retrieved in the first round of research, including 30 from ERIC, 20 from Science Direct, and 15 from EBSCO. Following that, only 40 papers produced findings from the major section screening. The article’s systematic literature review and thematic analysis of the published material resulted in a sample size of 23 articles for this study. A qualitative thematic analysis Software, NVivo 12, was used to evaluate qualitative data. The findings indicated that motivation, technological advancement, information technology, learning objectives, sources for digital application, challenges of technology, traditional learning style and visual information have a significant collision with students’ mathematical learning.

Páginas de EducaciónVol. 17(2)
King Khalid University (SA)
Quality Education
Openalex Percentile: Top 9%
Technology Adoption and User Behaviour
2.10
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