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Design and assessment of effective multimedia-based courseware for student quantitative data analysis
International Journal of Evaluation and Research in Education (IJERE) · Vol. 14 No. 4 (2025) · hlm. 3103–3115
ISSN 2620-5440, 2252-8822
Terbit 2025-08-01
Penerbit Institute of Advanced Engineering and Science
Bahasa eng
Abstrak
The rapidly evolving technological trends are transforming higher education. This study focused on designing and evaluating the effectiveness of multimedia-based courseware in improving students’ data analysis at Islamic University in Uganda. The objectives were: i) to create interactive multimedia courseware (IMC) to enhance students’ quantitative data analysis skills; ii) to evaluate the suitability of IMC’s content, interactivity, user interface, and design; and iii) to profile students’ perceived benefits of using the IMC to learn quantitative data analysis. A descriptive survey involving 160 education undergraduate finalists, selected through random and consensus sampling, was conducted. Data was collected through a self-report survey instrument with high validity (content validity index=0.886) and reliability (Cronbach alpha=0.878). The IMC development followed the analysis, design, development, implementation, and evaluation (ADDIE) model and Gagne’s learning events. Results indicated that the IMC content (mean=3.90, SD=0.94), interactivity (mean=4.10, SD=0.79), user interface (mean=4.04, SD=0.82), and screen design (mean=4.05, SD=0.87) were highly appropriate. Students perceived IMC as effective in enhancing their data analysis skills (mean=3.86, SD=0.92). The findings suggest that IMC can significantly improve students’ quantitative analysis abilities. However, recommending further studies on the impact of IMC on students’ quantitative data analysis skills comprehensively in a multidisciplinary manner, to potentially revolutionize learning.
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Sumber metadata: OAI-PMH (metadata jurnal) http://ijere.iaescore.com/index.php/IJERE/oai, pertama di-harvest 8 Nov 2026, terakhir terlihat 8 Nov 2026.
Metadata asli (oai_dc)
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<dc:title xml:lang="en-US">Design and assessment of effective multimedia-based courseware for student quantitative data analysis</dc:title>
<dc:creator>Yassin, Abdulnassir</dc:creator>
<dc:creator>Bashir, Ashadi</dc:creator>
<dc:creator>Surjono, Herman Dwi</dc:creator>
<dc:creator>Afdal, Zul</dc:creator>
<dc:creator>Novianto, Victor</dc:creator>
<dc:subject xml:lang="en-US">Development; Instruction; Integration; Learning; Technology</dc:subject>
<dc:description xml:lang="en-US">The rapidly evolving technological trends are transforming higher education. This study focused on designing and evaluating the effectiveness of multimedia-based courseware in improving students’ data analysis at Islamic University in Uganda. The objectives were: i) to create interactive multimedia courseware (IMC) to enhance students’ quantitative data analysis skills; ii) to evaluate the suitability of IMC’s content, interactivity, user interface, and design; and iii) to profile students’ perceived benefits of using the IMC to learn quantitative data analysis. A descriptive survey involving 160 education undergraduate finalists, selected through random and consensus sampling, was conducted. Data was collected through a self-report survey instrument with high validity (content validity index=0.886) and reliability (Cronbach alpha=0.878). The IMC development followed the analysis, design, development, implementation, and evaluation (ADDIE) model and Gagne’s learning events. Results indicated that the IMC content (mean=3.90, SD=0.94), interactivity (mean=4.10, SD=0.79), user interface (mean=4.04, SD=0.82), and screen design (mean=4.05, SD=0.87) were highly appropriate. Students perceived IMC as effective in enhancing their data analysis skills (mean=3.86, SD=0.92). The findings suggest that IMC can significantly improve students’ quantitative analysis abilities. However, recommending further studies on the impact of IMC on students’ quantitative data analysis skills comprehensively in a multidisciplinary manner, to potentially revolutionize learning.</dc:description>
<dc:publisher xml:lang="en-US">Institute of Advanced Engineering and Science</dc:publisher>
<dc:contributor xml:lang="en-US"></dc:contributor>
<dc:date>2025-08-01</dc:date>
<dc:type>info:eu-repo/semantics/article</dc:type>
<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
<dc:type xml:lang="en-US"></dc:type>
<dc:format>application/pdf</dc:format>
<dc:identifier>https://ijere.iaescore.com/index.php/IJERE/article/view/32055</dc:identifier>
<dc:identifier>10.11591/ijere.v14i4.32055</dc:identifier>
<dc:source xml:lang="en-US">International Journal of Evaluation and Research in Education (IJERE); Vol 14, No 4: August 2025; 3103-3115</dc:source>
<dc:source>2620-5440</dc:source>
<dc:source>2252-8822</dc:source>
<dc:source>10.11591/ijere.v14i4</dc:source>
<dc:language>eng</dc:language>
<dc:relation>https://ijere.iaescore.com/index.php/IJERE/article/view/32055/14567</dc:relation>
<dc:rights xml:lang="en-US">Copyright (c) 2025 Institute of Advanced Engineering and Science</dc:rights>
<dc:rights xml:lang="en-US">http://creativecommons.org/licenses/by-nc/4.0</dc:rights>
</oai_dc:dc>
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APA 7
Yassin, A., Bashir, A., Surjono, H. D., Afdal, Z., & Novianto, V. (2025). Design and assessment of effective multimedia-based courseware for student quantitative data analysis. International Journal of Evaluation and Research in Education (IJERE), 14(4), 3103–3115. https://doi.org/10.11591/ijere.v14i4.32055
Salin
IEEE
A. Yassin, A. Bashir, H. D. Surjono, Z. Afdal, and V. Novianto, “Design and assessment of effective multimedia-based courseware for student quantitative data analysis,” International Journal of Evaluation and Research in Education (IJERE), vol. 14, no. 4, pp. 3103–3115, 2025, doi: 10.11591/ijere.v14i4.32055.
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