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This paper aims first to describe the most prevalent teachers’ and students’ behaviors in synchronous online classes in emergency remote teaching; second, to discern behavior profiles and third, to investigate what features explain the observed behaviors.

An adapted COPUS observation protocol was employed to observe 292 online classes from 146 higher education teachers.

The most prevalent behaviors were: Presenting for teachers and Receiving for students, followed by Teachers Guiding and Students Talking to Class. Furthermore, cluster analysis showed two groups: Traditional and Interactive. The variables that better explained belonging to the Interactive lecture group were disciplinary area – social sciences and humanities –and teaching in technical institutions.

In a context where higher education institutions intend to project the lessons learned into post-pandemic learning experiences, this study provides observational evidence to realize the full potential expected from online and blended teaching and learning.

Despite the prevalence of synchronous online lectures during COVID-19, there is a paucity of observational studies on the actual behaviors that occurred in this context. Most research has been based on surveys and interviews. This study addresses this gap.

Female leader is a major topic in the male of today that’s hardly getting attention. World today needs women in more positions of leadership. Today’s organizations need effective and agile leaders who understand the complexities of the rapidly changing global environment. This situation requires urgent attention as the world needs female as well as male characteristics to address global issues. Women represent half of the modern world’s abilities and population. They are important for economic and social prosperity for the world. Women carry a viewpoint that respects not only competitiveness but also organizational and team cooperation. Their female ideals are a functioning structure of new, cooperative and open economy. Eventually, the leadership of women will not only boost business, family and culture, but also the environment that will become more prosperous and peaceful as a result. In today’s modern world many researches are conducted on global, social and cultural forces, such as globalization, e-commerce, changing markets, the spread of technology and the need for teamwork, alliances and partnerships, show a high need for women leaders. But what is the role and leadership style of female leaders here? In this context, the purpose of this study is to discuss the leadership styles and what kind of leadership style female managers exhibit in line with the literature. The research showed that female managers have more agile leadership qualities and the authors suggested that female leaders should be brought forward for the opportunity to lead others toward a better future.

The purpose of this study is to analyze the relationship between quality assurance, the traditional a priori approach, and a more recently developed empirical classification of universities, as a means of assessing whether the different classification systems fulfill their original purpose. The study analyzes Chilean university classifications because they have been used in setting up higher education public policies.

The existing classifications of Chilean universities were identified in the literature. Researchers determined categories, criteria and/or indicators used, as well as their main purposes as described by the authors of the classifications. All the criteria and indicators identified were directly related to the quality of academic activities and to the results of the university accreditation processes. The institutional accreditation outcomes and variables were studied using univariate and multivariate statistical analysis.

The a priori approach proved to be consistent with the results of institutional quality assurance, despite of the variability in individual performances. The empirical systems, however, do not show any contribution to the improvement of public policies in higher education. The results clearly show that classifications based on performance do not necessarily ensure improvements in institutional quality.

To the authors’ knowledge, this analysis is the first study of the relationship between university classification and quality assurance. The growing number of proposals for different empirical classifications in Chilean universities is evidence of institutional diversity only. However, the classification designs did not respond to purposes such as public policies improvements and other expected results from these instruments.

Special education in Guatemala started in the 1940s with the establishment of schools for the blind. While there is a relatively large population of persons with disabilities, the country has an insufficient number of educational and rehabilitation programs because the country is very impoverished. Guatemala has enacted a number of disability laws in the 1990s and early 2000s that enable persons with disabilities to participate in educational services to develop their capabilities and to deter discrimination. The government has three categories of disability, namely, physical, sensory, and intellectual. Most of the special education schools and rehabilitation workshops are in the capital city with few programs in rural areas. Many children with special education needs do not attend school. The government offers public service to families of children with disabilities. In the 1980s, the government formed partnerships with United States universities to help develop service plans for students with disabilities as well as train school personnel in effective instructional methods due to a shortage of licensed teachers. While special education is improving it has a long way to go.

This study aims to review processes of accreditation for Chilean Universities. Along with cataloguing evolutionary milestones, the study analyses effects at the institutional and program levels.

The study adopts a meta-evaluative approach and is based on secondary information sources, including both specialised publications and national databases, regarding the expansion of institutions, programs and enrolment, as well as the results of accreditation processes.

University quality assurance reflects developments in economic policies, and supply and demand. Progressive consolidation of the national system has had positive effects on the management and development of universities, but the implementation of quality assurance has brought some problems. A traditional classification of universities into customary categories is predictive of the results of accreditation. The variable of administrative compliance is more important than a culture of quality in explaining the results of institutional and program accreditation.

This review identifies advances, limitations and challenges in the improvement and assurance of quality of Chilean Universities and their programs. This is an unprecedented metanalysis of studies concerning the evolution of accreditation processes and will inform future practice.

This study aims to analyse the influence of the pillars (hard and soft skills) of digital academic entrepreneurship on students' entrepreneurial intention.

This was done by adopting a quantitative methodology involving empirical research with a sample of 761 university students from two countries and adopting structural equation analysis to validate the theoretical model proposed.

The results indicate a direct influence between hard and soft skills and entrepreneurial intention, and a positive, indirect influence between these and entrepreneurial intention mediated by the dimensions of the theory of planned behaviour (TPB) – entrepreneurial attitude, subjective norms and perceived behavioural control. Therefore, the pillars of digital academic entrepreneurship have a direct and indirect influence on university students' entrepreneurial intention.

This study also contributes to better operationalization of entrepreneurial education in university environments, since the development of hard and soft skills can be planned better based on the model proposed here. Considering the relations between the dimensions of hard and soft skills and those of TPB, this study shows there can be an influence on students' entrepreneurial intention.

In this study, a new and innovative construct is inserted in the model of entrepreneurial intention: “structural pillars of digital academic entrepreneurship” through structural equation modelling, to determine the degree of influence of these pillars (hard and soft skills) constructs on HEI students' entrepreneurial intention.

This study examines the effect of design quality (i.e. appearance, navigation, information and interactivity) on cognitive and affective involvement leading to continued intention to use the online learning application.

We assume that design quality potentially contributes to enhance the individual's involvement and excitement. An experimental prototype is developed for collecting data used to verify and validate the proposed research model and hypotheses. A partial-least-squares approach is used to analyze the data collected from the participants (n = 662).

Communication, aesthetic and information quality revealed to be strong determinants of both cognitive and affective involvement. However, font quality and user control positively influence cognitive involvement, while navigation quality and responsiveness were observed as significant indicators of affective involvement. Lastly, cognitive and affective involvement equally contribute to determining the continued intention to use.

This study will draw the attention of designers and practitioners towards the perception of users for providing appropriate and engaging learning resources.

Prevalent research in the online context is focused primarily on cognitive and utilization behavior. However, these works overlook the implication of design quality on cognitive and affective involvement.

Smart grid is an integration between traditional electricity grid and communication systems and networks. Providing reliable services and functions is a critical challenge for the success and diffusion of smart grids that needs to be addressed. The purpose of this study is to determine the critical criteria that affect smart grid reliability from the perspective of users and investigate the role big data plays in smart grid reliability.

This study presents a model to investigate and identify criteria that influence smart grid reliability from the perspective of users. The model consists of 12 sub-criteria covering big data management, communication system and system characteristics aspects. Multi-criteria decision-making approach is applied to analyze data and prioritize the criteria using the fuzzy analytic hierarchy process based on the triangular fuzzy numbers. Data was collected from 16 experts in the fields of smart grid and Internet of things.

The results show that the “Big Data Management” criterion has a significant impact on smart grid reliability followed by the “System Characteristics” criterion. The “Data Analytics” and the “Data Visualization” were ranked as the most influential sub-criteria on smart grid reliability. Moreover, sensitivity analysis has been applied to investigate the stability and robustness of results. The findings of this paper provide useful implications for academicians, engineers, policymakers and many other smart grid stakeholders.

The users are not expected to actively participate in smart grid and its services without understanding their perceptions on smart grid reliability. Very few works have studied smart grid reliability from the perspective of users. This study attempts to fill this considerable gap in literature by proposing a fuzzy model to prioritize smart grid reliability criteria.

This paper aims to determine the stage of the life cycle where the trucks of a waste collection fleet from a Colombian city are located through a reliability approach. The reliability analysis and the evaluation of curve of operational costs allow to know the moment in which it is necessary to make decisions regarding an asset, its maintenance or possible replacement.

For a dataset presented as maintenance work orders, the time to failures (TTFs) for each vehicle in the fleet were calculated. Then, a probability density function for those TTFs was fitted to locate each vehicle in a region of the bathtub curve and to calculate the reliability of the whole fleet. A general functional analysis was also developed to understand the function of the vehicles.

It was possible to determine that the largest proportion of the fleet was in the final stage of the life cycle, in this sense, the entire fleet represent critical assets which in most of cases could be worth replacement or overhaul.

In this study, an address is exposed for the identification of critical equipment by reliability and statistical analysis. This analysis is also integrated with the maintenance management process. This is a broadly interested topic since it allows to support the maintenance and operational decision-making process, indicating the focus of resource allocation all over the entire asset life cycle.