Proceedings of the 6th International Conference on Education and Multimedia Technology 2022
DOI: 10.1145/3551708.3556207
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Analysis and Prediction of QS World University Rankings based on Data Mining Technology

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Cited by 5 publications
(2 citation statements)
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“…The best-known ranking systems, Quacquarelli Symonds (QS) and Times Higher Education (THE) (Ciubotaru, 2022) are based on indicators of research reputation, the learning and teaching environment, citations, internationalization, and industry income (QS, 2021;. There is a wealth of research on modelling global university ranks using their performance indicator components (Agarwal & Tayal, 2022;Anahideh & Mohabbati-Kalejahi, 2022;De Luna Pamanes et al, 2020a;Kaycheng, 2015;Liu et al, 2022;Tabassum et al, 2017), or independent variables including financial, scientific, staff-related metrics, or past ranks (Cantwell & Taylor, 2013;Marconi & Ritzen, 2015;McAleer et al, 2019;Pride & Knoth, 2018) The existing applied techniques included a range of regression (Cantwell & Taylor, 2013;De Luna Pamanes et al, 2020a;Kaycheng, 2015;Liu et al, 2022;Marconi & Ritzen, 2015;McAleer et al, 2019) and machine-learning models (Agarwal & Tayal, 2022;De Luna Pamanes et al, 2020a;Liu et al, 2022;Popoola et al, 2018;Tabassum et al, 2017) Anumber of studies suggest that the performance indicators of THE ranking are highly correlated, and university ranks are mainly predicted by two factors: academic reputation and citations (De Luna Pamanes et al, 2020a;Kaycheng, 2015).…”
Section: Introductionmentioning
confidence: 99%
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“…The best-known ranking systems, Quacquarelli Symonds (QS) and Times Higher Education (THE) (Ciubotaru, 2022) are based on indicators of research reputation, the learning and teaching environment, citations, internationalization, and industry income (QS, 2021;. There is a wealth of research on modelling global university ranks using their performance indicator components (Agarwal & Tayal, 2022;Anahideh & Mohabbati-Kalejahi, 2022;De Luna Pamanes et al, 2020a;Kaycheng, 2015;Liu et al, 2022;Tabassum et al, 2017), or independent variables including financial, scientific, staff-related metrics, or past ranks (Cantwell & Taylor, 2013;Marconi & Ritzen, 2015;McAleer et al, 2019;Pride & Knoth, 2018) The existing applied techniques included a range of regression (Cantwell & Taylor, 2013;De Luna Pamanes et al, 2020a;Kaycheng, 2015;Liu et al, 2022;Marconi & Ritzen, 2015;McAleer et al, 2019) and machine-learning models (Agarwal & Tayal, 2022;De Luna Pamanes et al, 2020a;Liu et al, 2022;Popoola et al, 2018;Tabassum et al, 2017) Anumber of studies suggest that the performance indicators of THE ranking are highly correlated, and university ranks are mainly predicted by two factors: academic reputation and citations (De Luna Pamanes et al, 2020a;Kaycheng, 2015).…”
Section: Introductionmentioning
confidence: 99%
“…While research on the highest-ranked universities is abundant (Cantwell & Taylor, 2013;De Luna Pamanes et al, 2020b;Kaycheng, 2015;Szluka et al, 2023), analysing the lower end of the list is scarce. Top positions on the ranking lists are relatively stable (Grewal et al, 2008;Safón, 2019), but exact positions below rank 600 are volatile and difficult to predict (Liu et al, 2022;Osipov et al, 2020). The number of universities ranked by THE increased from 200 in 2011 to 1800 in 2023 (World University Rankings, 2023).…”
Section: Introductionmentioning
confidence: 99%