Mobile Mathematics Learning Application Selection using Fuzzy TOPSIS

Abstract

Impressive evolution of technology increased the usage frequency of smart mobile phones, and hence abundance in the quantity of available mobile applications has emerged as the vital problem of inventing practical and efficient ways for selecting suitable mobile applications for the desired use. Today, there are almost three million apps only at the Google Play store. Therefore, the need for an automated, effective, and less timeconsuming approach towards suitable mobile application selection to choose the best alternative has gained more significance than ever. Despite the sudden growth in mobile learning applications, there exists a dearth of research in the effective way of selecting a suitable mobile application in that respect particularly in relation to mobile apps for Mathematics. Moreover, using multi-criteria decision-making methods (MCDM) is only recently applied in rare studies for that purpose. This paper focused on ISO/IEC 25010 software quality standards in selecting mobile Mathematics learning applications. Six highly rated applications were evaluated by two experts. This paper aims to apply the fuzzy Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) to retrieve the best alternative among present applications. The results showed an objective and flexible assessment for ranking to eliminate ambiguity in decision-making. Results also identified significant features thus rendering a useful and valuable tool for decisionmakers. The study assists users, teachers/instructors, students in their decision-making processes regarding finding the most suitable application for Mathematics.

Investigation of educational mathematics mobile applications (EMMAs) with multi-criteria decision-making methods: A TOPSIS algorithm implementation

“…When the market scores of these applications are examined, it is seen that they are among the top seven applications. In this context, it can be said that these findings support conclusions in the literature that market score should not be the only selection criterion in choosing an application (Dubé et al, 2020;Başaran & Homsi, 2022). Because, it has been found that the ranking made with TOPSIS based on the evaluation scores of the teachers is different from the ranking of the applications according to the market scores.…”

“…After the determined criteria were weighted with FAHP, they were ranked with TOPSIS and it was seen that the results obtained were different from the Google Play Store user ratings. In another study, Başaran and Homsi (2022) aimed to create a guiding model for selecting the most appropriate mathematics application. For this purpose, six applications with the highest market scores were evaluated by two experts according to 40 different criteria.…”