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The aim of this chapter is to investigate the potential of the disruption brought about by the COVID-19 pandemic to break the stagnation in the field of comparative and international education, detected on many fronts of the field by various scholars in the field. The chapter commences with a survey of the historical evolution of the field of comparative and international education, showing how the field has historically come to be defined by contextually induced discourse. At the same time, the historically trodden furrows have resulted in the field becoming trapped by historical forces, resulting in some stagnation in the field. It is argued that impediments to progress in the field of comparative and international education are the severance from practice, the “black box” syndrome of paying more attention to the societal context than to education, the tenacious attachment to the nation-state as the sole geographic level of analysis, the lack of an autochthonous theory, persistent Northern hegemony, and the regression of space and infrastructure at universities. Thereafter, the outbreak of the COVID-19 pandemic and the impact thereof on education are discussed. In conclusion, the potential of the disruption brought about by the pandemic for the revisitation of comparative and international education is assessed.

In the context of educational segregation by ethnic group, it has been argued that rigorous pairwise segregation comparisons over time or across space should be invariant in two situations: when the ethnic composition of the population changes while the distribution of each ethnic group over the schools remains constant (invariance 1), or when the size distribution of schools changes while the ethnic composition of each school remains constant (invariance 2). This paper makes two contributions to the segregation literature. First, it argues by means of the Mutual Information or M index, which is neither invariant 1 nor 2, that both properties have strong implications, and it provides reasons to defend that the overall segregation index need not satisfy either one. Second, nevertheless, it is shown that in pairwise comparisons this index admits two decompositions into three terms. In the first decomposition, a term is invariant 1 and also satisfies a weak version of invariance 2. In the second decomposition, a term is invariant 2 and also satisfies a weak version of invariance 1. It is shown that these decompositions can be used to reach the analogous ones obtained in Deutsch et al. (2006).

This chapter uses an intellectual capital (IC) qualitative approach for assessing the bio health technologies entrepreneurial ecosystem of a university located in Southern Europe, aiming to identify the role played by IC in fostering the sustainable success of the entrepreneurial ecosystem. There has been limited research dedicated to deepening the knowledge of the entrepreneurial ecosystems’ dimensions, using an IC lens, in the context of university cities with different dimensions. Small cities may not have some dimensions, so developed, comparing with the ones of the ecosystems of large urban centers. This chapter uses a qualitative approach funded in a case study exploring internal and external stakeholders of a Portuguese entrepreneurial ecosystem, UBImedical, targeted at the bio health sector. The study is part of an exploratory study funded in the scope of a European Project, aiming to explore in a pioneering way the application of the dominant triad of capitals forming IC and, thus, identifying and understanding the dimensions of different entrepreneurial ecosystems. The case study reveals that the IC’s dimensions more critical for the success of the bio health entrepreneurial ecosystems are the structural capital and the relational capital, although human capital is perceived as a basic prerequisite for fostering the entrepreneurial ecosystem’s performance. The results are funded in primary and qualitative data collected from the interviews developed to previously identified external and internal stakeholders of this type of entrepreneurial ecosystem under study.

This study uses a mixed methods approach to investigate the pedagogical approaches and teaching practices that the English Department at a private Lebanese university implemented to rectify the deteriorating speaking skills of their students during the first few months of the lockdown in Lebanon between March and June 2020. The data consisted of semi-structured interviews with English instructors, the speaking assessment scores, and the English peer support program (PSP) enrollment records. Qualitative analysis of the interviews identified the main challenges that the English instructors faced during their transition from face-to-face (FTF) to distance education. The analysis also identified the intervention strategies that were implemented to overcome these barriers to learning and adapt to and even benefit from computer-mediated communication (CMC) instruction and other technological resources to develop and improve the oral proficiency and fluency of tertiary English as a Foreign Language (EFL) students. The quantitative analysis referred to the average percentage variation of the pre-test and post-test scores of the speaking assessment to track the improvement (or lack thereof) of the students’ speaking skills across four semesters, prior to and after the intervention. A one-way ANOVA test was also conducted for the enrollment records of the English PSP and speaking assessment scores that showed that the program was an effective form of intervention that helped struggling students to at least prevent the further deterioration of their speaking capabilities in English. These findings show that for students to develop and enhance their speaking skills in English in a distance education context and during emergency times, efforts need to be made to reduce the hindering psychological factors and address all technology-related barriers that disrupt the online language learning environment and process.

This paper compares two alternative methods for measuring multidimensional poverty. This question has become extremely important in recent years, both in the scientific literature and in social policy. We propose to use latent class analysis to evaluate poverty in Spain. We make use of the “fuzzy set” approach, and compare the results achieved from these two methodologies.

We evaluate the hypothesis of temporal stability in risk preferences using two recent data sets from longitudinal lab experiments. Both experiments included a combination of decision tasks that allows one to identify a full set of structural parameters characterizing risk preferences under Cumulative Prospect Theory (CPT), including loss aversion. We consider temporal stability in those structural parameters at both population and individual levels. The population-level stability pertains to whether the distribution of risk preferences across individuals in the subject population remains stable over time. The individual-level stability pertains to within-individual correlation in risk preferences over time. We embed the CPT structure in a random coefficient model that allows us to evaluate temporal stability at both levels in a coherent manner, without having to switch between different sets of models to draw inferences at a specific level.

We combine a key issue in development economics (explaining core-periphery patterns) for the first time with an analysis of unilateral transfers (foreign aid) using a New Economic Geography model. We show that (i) direct transfer paradoxes are not possible in a symmetric setting even if a bystander is present, (ii) the effects of foreign aid depend on the level of economic integration, (iii) aid only has a temporary effect (even if there is a bystander present) if the initial equilibrium is stable, and (iv) the recipient as well as the bystander benefits from foreign aid if the donor is large.