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International Journal of Academic Research in Business and Social Sciences

Open Access Journal

ISSN: 2222-6990

SCORE Model-Based Strategy Assessment for Fraction Learning Modules with Educational Technology

Syed Azman Syed Ismail, Siti Mistima Maat, Fariza Khalid

http://dx.doi.org/10.6007/IJARBSS/v14-i10/23212

Open access

Understanding fractions has long been a difficult aspect of mathematics education, especially when teaching complex concepts using traditional methods. To overcome these difficulties, educational technology has been integrated into fraction learning modules, providing more interactive and stimulating learning experiences. However, the effectiveness of these modules in the context of fraction learning has not been thoroughly explored compared to other areas of mathematics education. This study uses the SCORE model to evaluate these modules, focusing on five key elements: Strengths (S), Challenges (C), Options (O), Responses (R) and Effectiveness (E). By analyzing literature from reputable databases such as Google Scholar, SCOPUS and Web of Science, the study assesses how educational technology improves students' understanding of fractions by offering personalized learning experiences. The study emphasizes the strengths of these modules, such as real-time feedback and personalized learning opportunities. Nevertheless, challenges, such as the digital literacy gap among educators and the need for language adaptations, have also been identified. The study concludes that the SCORE model offers a comprehensive framework for evaluating and enhancing fraction learning modules, ensuring that educational technology is effectively utilized to support diverse learners. Future research should explore the scalability of these modules and their long-term impact on students' mathematics achievement.

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Ismail, S. A. S., Maat, S. M., & Khalid, F. (2024). SCORE Model-Based Strategy Assessment for Fraction Learning Modules with Educational Technology. International Journal of Academic Research in Business and Social Sciences, 14(10), 2899–2909.