Territorial bias in university rankings: a complex network approach

Bellantuono, Loredana; Monaco, A.; Amoroso, Nicola; Aquaro, Vincenzo; Bardoscia, Marco; Loiotile, Annamaria Demarinis; Lombardi, Angela; Tangaro, Sabina; Bellotti, R.

doi:10.1038/s41598-022-08859-w

Cited by 19 publications

(14 citation statements)

References 68 publications

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“…Following this idea, it is also important to avoid territorial risk of bias in the study. Thus, for future research and the distribution of the same or new questionnaires to other high schools, we should first analyze what kind of data may produce territorial bias risk, similarly to the study by Bellantuono et al that presented a comparison between the university academic rankings affected by bias [ 60 ]. A possible way to overcome bias could be by creating a more extensive questionnaire with information regarding contextualization of social and economic conditions to students [ 61 ].…”

Section: Discussionmentioning

confidence: 99%

Impact of Cooperative Learning and Project-Based Learning through Emotional Intelligence: A Comparison of Methodologies for Implementing SDGs

Lozano

López

Pereira

et al. 2022

IJERPH

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Education for sustainable development (ESD) is a holistic and transformative form of education that seeks action-oriented pedagogy using self-directed learning, participation, and collaboration, among other aspects, and is suitable for developing active methodologies. Since affective-emotional aspects can contribute in the teaching-learning process, this work studies, through a case study, the comparison of the influence of two active methodologies: Cooperative Learning (CL) and Project-Based Learning (PBL) in student emotions and learning processes, as well as their awareness of ESD. For that purpose, a survey was conducted at the fourth secondary level in the science laboratory, subjected to the innovation project e-WORLD, which developed the content of the 7 and 13 Sustainable Development Goals (SDGs) from the 2030 Agenda. Results of ANOVA and Tukey’s tests carried out showed that both methodologies improved skills and knowledge related to climate change and energy, and triggered major positive emotions in students. Furthermore, CL allowed students to acquire more individual and group responsibility than communication skills developed with PBL. It is necessary to continue working on the involvement of students in these methodologies in order to improve their social skills and to reveal life changes towards more socio-sustainable ones.

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Section: Discussionmentioning

confidence: 99%

Impact of Cooperative Learning and Project-Based Learning through Emotional Intelligence: A Comparison of Methodologies for Implementing SDGs

Lozano

López

Pereira

et al. 2022

IJERPH

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“…This raises a research question (RQ): How should monitoring, state audit, and financial control of university activities be carried out to manage the quality and effectiveness of higher education within the framework of the socio-investment model of economic growth? As an answer to this question, authors such as Bellantuono et al (2022), Catalán and Santelices (2022), and Naven and Whalen (2022) reproduce the widespread hypothesis that monitoring, state audit, and financial control in higher education allow conducting university ratings.…”

Section: Literature Reviewmentioning

confidence: 99%

Quality management of higher education within the framework of the socio-investment model of economic growth: State audit and financial control

2022

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The article aims to study the contribution of quality management in higher education through state audit and financial control to the implementation of the socio-investment model of economic growth. The article is based on the scientific hypothesis that quality management in higher education should be based on university rankings. The article presents the authors’ view on the interpretation of recent results in the research field of quality management in higher education and reveals the strengths and weaknesses of the hypothesis. Systematization and critical analysis of the indicators of quality and effectiveness in higher education based on the leading university rankings for 2022—the Ministry of Education and Science of the Russian Federation—are performed. The case study method is used for the case analysis of the management of quality and effectiveness on the example of the leading Russian university, which has been the leader of these rankings for many years: Lomonosov Moscow State University (MSU). The scientific novelty and originality of the article are associated with a systematic view of the quality and effectiveness of higher education, which was first formed by the authors through a combination and grouping of indicators from the leading university rankings for 2022. The theoretical significance of the authors’ conclusions lies in the fact that the article clearly identifies a significant contribution of the quality control of education and the performance management of universities to the implementation of the socio-investment model of economic growth. The practical significance of the obtained results is that the scientific and methodological basis for monitoring and assessing quality and effectiveness in higher education based on the leading university ratings for 2022 makes it possible to improve the state audit and financial control of university activities in the implementation of the socio-investment model of economic growth.

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“…To increase the robustness of our analysis, we will employ the tool of complex networks (Newman, 2018 ), that is increasingly used, also in its recent formal developments (Bianconi, 2018 ; Amoroso et al, 2020 , 2021b ), along with or in replacement of traditional statistical techniques to unveil hidden information in many sectors of science and society, such as neuroscience (Sporns, 2011 ; Amoroso et al, 2018 , 2019 ; Bellantuono et al, 2021 ), genetics (Monaco et al, 2019 , 2020 ), economics (Hidalgo et al, 2007 ; Battiston et al, 2012 ; Tacchella et al, 2012 ; Hausmann et al, 2014 ; Bardoscia et al, 2017 , 2021 ; Pugliese et al, 2019 ; Amoroso et al, 2021a ), human mobility (Alessandretti et al, 2018 ), social and development-related issues (Bellantuono et al, 2020 , 2022a , b ).…”

Section: Introductionmentioning

confidence: 99%

Worldwide impact of lifestyle predictors of dementia prevalence: An eXplainable Artificial Intelligence analysis

Bellantuono¹,

Monaco²,

Amoroso³

et al. 2022

Front. Big Data

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IntroductionDementia is an umbrella term indicating a group of diseases that affect the cognitive sphere. Dementia is not a mere individual health issue, since its interference with the ability to carry out daily activities entails a series of collateral problems, comprising exclusion of patients from civil rights and welfare, unpaid caregiving work, mostly performed by women, and an additional burden on the public healthcare systems. Thus, gender and wealth inequalities (both among individuals and among countries) tend to amplify the social impact of such a disease. Since at present there is no cure for dementia but only drug treatments to slow down its progress and mitigate the symptoms, it is essential to work on prevention and early diagnosis, identifying the risk factors that increase the probability of its onset. The complex and multifactorial etiology of dementia, resulting from an interplay between genetics and environmental factors, can benefit from a multidisciplinary approach that follows the “One Health” guidelines of the World Health Organization.MethodsIn this work, we apply methods of Artificial Intelligence and complex systems physics to investigate the possibility to predict dementia prevalence throughout world countries from a set of variables concerning individual health, food consumption, substance use and abuse, healthcare system efficiency. The analysis uses publicly available indicator values at a country level, referred to a time window of 26 years.ResultsEmploying methods based on eXplainable Artificial Intelligence (XAI) and complex networks, we identify a group of lifestyle factors, mostly concerning nutrition, that contribute the most to dementia incidence prediction.DiscussionThe proposed approach provides a methodological basis to develop quantitative tools for action patterns against such a disease, which involves issues deeply related with sustainable, such as good health and resposible food consumption.

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Territorial bias in university rankings: a complex network approach

Cited by 19 publications

References 68 publications

Impact of Cooperative Learning and Project-Based Learning through Emotional Intelligence: A Comparison of Methodologies for Implementing SDGs

Impact of Cooperative Learning and Project-Based Learning through Emotional Intelligence: A Comparison of Methodologies for Implementing SDGs

Quality management of higher education within the framework of the socio-investment model of economic growth: State audit and financial control

Worldwide impact of lifestyle predictors of dementia prevalence: An eXplainable Artificial Intelligence analysis

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