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The very essence of internationalisation, which depends heavily on academic mobility and cross-border interactions, has been adversely affected due to the COVID-19 pandemic and has been associated with a significant decline in student and staff mobility in South Africa and around the world. Nonetheless, it has also catalysed innovation and inspired new approaches to teaching and learning that have the potential to transform the future of higher education. In the aftermath of the COVID-19 pandemic, higher education institutions are grappling with a fundamental question that goes beyond the practicalities of internationalisation: How can we re-envision the concept of internationalisation to meet the challenges of the new normal? This question calls for a deeper reflection on the nature of internationalisation itself. How can we ensure that cross-border interactions and exchanges continue to foster a sense of global community and intercultural understanding, even in a world that is physically distanced? This chapter seeks to explore the profound implications of the pandemic on the internationalisation of higher education (IHE) in South Africa. It aims to critically examine the present challenges to internationalisation and the strategies that have been developed to address them in the context of the post-pandemic world. The chapter employs a critical reflection approach through the use of qualitative research, systematic literature review, and document analysis. By utilising these methodologies, it seeks to delve deeper into the implications of the pandemic on the IHE in South Africa.

The study aims to provide relevant information on the educational processes experienced by university students in Spain during the period of compulsory confinement. To this end, the key factors of the emergency educational model implemented by the country's universities have been analysed.

The study investigated, through qualitative, exploratory research and 30 in-depth interviews, how university students have lived the process of change to alternative forms of education during the crisis, what training experiences stand out and what factors related to virtual education they identify as relevant keys.

Participants usually focus on three main topics: (1) The impacts of changes in training development with regard to methodologies and forms of assessment; (2) The facilities and difficulties in this new modality of online training; and (3) The consequences of the crisis on higher education in the medium and long term.

Students participating in the study offer relevant and critical information on the adaptations developed by Spanish universities during the Coronavirus crisis. This information can be fundamental for the conscious decision making of the institutions, so that they can develop educational processes more adequate to the needs and possibilities of the university students in times of crisis.

During the coronavirus disease 2019 (COVID-19) pandemic and social distancing, the Virtual Mobility Program (Promover) implemented in 2021 in Brazil aimed to allow students enrolled in Brazilian federal universities to take curricular components at other institutions of the system remotely. The main objective of this research was to identify the most important factors, in students' perception, that affected their satisfaction with virtual mobility (VM) and the factors that drive the intention to continue mobility.

Data collection was performed through 433 questionnaires answered online. R software was used for descriptive analysis and SmartPLS to examine the relationship between independent and dependent variables through Structural Equation Modeling.

A positive relationship was verified between the constructs, and the hypothesized relations were confirmed at statistically significant level, revealing the students' satisfaction with VM and their intention to continue exploring this online learning option through Promover. The results showed that the motivations for VM are linked to the pursuit of knowledge and more opportunities for training and work. Plus, the use of VM proved to be a motivator for student engagement and e-learning effectiveness.

The findings can be useful as they highlight the opportunity to expand VM programs for students, even after the return to on-campus academic activities.

The purpose of this paper is to understand US federal government policy during the early stages of the COVID-19 pandemic and the connections to graduate education. Using the multiple streams framework, the paper outlines these actions through various streams (problems, policy and political) and perspectives (defining problems, articulating options and mobilizing responses).

The primary sources of data collected for this study were US federal government policies from March 2020 through May 2021. Policies were examined through introduction, implementation and alteration (when possible) within the specific time period of the study. The policies outlined in this paper were connected to the US Department of Education, and to a lesser extent, the National Institutes of Health, the National Science Foundation and other federal agencies. Data analysis was a two-fold process. First, the individual policy was considered as a single case and second, a cross-case comparison occurred across the multiple cases.

Analysing the study’s data in the problem stream provides a strong indicator of how the pandemic was perceived as a challenge for US graduate education. The pandemic served as a focusing event and illuminated the connections of graduate education to key institutional functions, including research and teaching. Broadly, US federal policy actions in this area focused on giving institutions resources and flexibility to support graduate students and allow them to continue their academic work while also seeding funding and incentives to continue the movement of knowledge, activities and people in the research pipeline. Actions in the policy stream aligned with the decentralized nature of the US higher education system and allowed for choice by academic institutions within the parameters of options.

This paper extends extant literature related to policy-making and graduate education to consider policy-making during a time of crisis. The paper offers methodological and conceptual ideas for consideration in future research.

This study aims to examine the relationship between knowledge management and career development in an era characterized by high levels of youth unemployment and a demand for specialized skills. Despite the increasing transition to a knowledge-based economy, there is a significant gap between young people’s skills and career readiness, necessitating an in-depth analysis of the role of knowledge management at the individual, organizational and national levels.

The authors conducted a qualitative study using the theory-context-characteristics-methodology approach based on a systematic literature review. The authors created an ecological framework for reflecting on knowledge management and career development, arguing for a multidisciplinary approach that invites collaboration across sectors to generate innovative and reliable solutions.

This study presents a comprehensive review of the existing literature and trends, noting the need for more focus on the interplay between knowledge management and career development. It emphasizes the need for businesses to promote the acquisition, storage, diffusion and application of knowledge and its circulation and exchange to create international business human capital.

The findings may help multinational corporations develop managerial training programs and recruitment strategies, given the demand for advanced knowledge-based skills in the modern workspace. The study also discusses the influences of education, experience and job skills on business managers’ performance, guiding the future recruitment of talents.

To the best of the authors’ knowledge, this review is among the first to assess the triadic relationship between knowledge management, career development and the global unemployment crisis. The proposed multidisciplinary approach seeks to break down existing silos, thus fostering a more comprehensive understanding of how to address these ongoing global concerns.

This chapter presents a combined approach of social and open data to evaluate a hybrid education model with online and face-to-face classes. The study consists of a sample of 310 students from the UPIITA-IPN college. Thus, a grouping model was applied based on each student's profile and academic performance in various subjects to identify patterns and learning styles. In addition, a social sensor of emotions was implemented to measure reactions in online and face-to-face classes. It helped to identify which strategies and methods are most significant for student performance. Data were collected from forms and the Twitter social network, filtering data by general opinions about learning and experiences in class. Considering trends and patterns, we identified four types:

Pattern (1) personalization of learning: This group stood out because online teaching allows you to work at your own pace and on your own schedule. In addition, a trend toward a more individualized learning approach or the versatility of personalizing learning was observed. Pattern (2) an excessive number of channels and information: This group of students was characterized by feeling overwhelmed by the amount of information they must process in an online environment, in addition, to using various communication channels (messaging, Classroom, Zoom, Teams, email, among others) this was associated with a feeling of isolation and a lack of commitment. Pattern (3) inequality and asynchronous learning: Students with difficult access to adequate resources at home (connection, own computer, etc.). They were characterized by not being able to have the same performance in the different learning activities and expressed that the content must be adapted to the individual needs of the students. Technical problems, such as Internet connection failures or problems with electronic devices, interrupted the learning process and generated frustration for students and teachers. Pattern (4) lack of social interaction: This affected the student's ability to develop social and emotional skills. Moreover, it generates difficulties for the students to collaborate, slowing the development of social and emotional skills. It concluded that a hybrid model is successful, having schemes combined with 65% face-to-face sessions and 35% online.

Safety training can effectively facilitate workers’ safety awareness and prevent injuries and fatalities on construction sites. Traditional training methods are time-consuming, low participation, and less interaction, which is not suitable for students who are born in Generation Z (Gen Z) and expect to be positively engaged in the learning process. With the characteristic of immersive, interaction, and imagination, virtual reality (VR) has become a promising training method. The purpose of this study is to explore Gen Z students’ learning differences under VR and traditional conditions and determine whether VR technology is more suitable for Gen Z students.

This paper designed a comparison experiment that includes three training conditions: VR-based, classroom lecturing, and on-site practice. 32 sophomore students were divided into four groups and received different training methods. The eye movement data and hazard-identification index (HII) scores from four groups were collected to measure their hazard-identification ability. The differences between the participants before and after the test were tested by paired sample t-test, and the differences between the groups after the test were analyzed by one-way Welch’s analysis of variance (ANOVA) test.

The statistical findings showed that participants under VR technology condition spent less time finding and arriving at the Areas of Interest (AOIs). Both the eye movement data and HII scores indicated that VR-based safety training is an alternative approach for Gen Z students to traditional safety training methods.

These findings contribute to the theoretical implications by proving the applicability of VR technology to Gen Z students and empirical implications by guiding colleges and universities to design attractive safety training lessons.

During the COVID-19 pandemic, Local Educational Management Units (UGELs), the key government stakeholders in the provision of education services in Peru, implemented responsive interventions. This paper analyses the relationship between UGEL organisational resilience and their responses during this period.

A survey was conducted to measure UGEL management practices, with 251 valid responses from directors and managers. Based on organisational resilience theory, 67 questions were grouped into 13 factors and 3 components: (1) leadership and organisational culture, (2) preparation for change, and (3) networks building on the Organisational Resilience Index (ORI). These factors correlated with the number of interventions and the impact of those interventions implemented by UGELs.

The findings indicated that of all ORI components, leadership and organisational culture ranked the highest. Moreover, the ORI is positively associated with the number of interventions and the perceived impact produced by those interventions. Interestingly, it was found that when the gender variable is included in the correlation between the ORI and the number of interventions, women leading UGELs display a higher number of interventions than their male counterparts; and the coefficient increases even more when women lead a UGEL in a more challenging context (i.e., when the UGEL is located in a low-income area and operates under scarce resources).

This is the first study in Peru which analyses organisational resilience in the education sector, specifically about UGELs during the COVID-19 pandemic. It may help set priorities for institutional strengthening initiatives aimed at improving organisational resilience, which is particularly important in such uncertain and changing contexts.

This research was developed to identify artificial intelligence (AI) opportunities and challenges in higher education.

This qualitative research was developed using the six-step thematic analysis method (Braun and Clark, 2006). Participants in this study were AI PhD students from Tehran University in 2022–2023. Purposive sampling was used to select the participants; a total of 15 AI PhD students, who were experts in this field, were selected and interviews were conducted.

The authors considered the opportunities that AI creates for higher education in eight secondary subthemes (for faculty members, for students, in the teaching and learning process, for assessment, the development of educational structures, the development of research structures, the development of management structures and the development of academic culture). Correspondingly, The authors identified and categorized the challenges that AI creates for higher education.

Concerning the intended research, several limitations are significant. First, the statistical population was limited, and only people with characteristics such as being PhD students, studying at Tehran University and being experts in AI could be considered the statistical population. Second, caution should be exercised when generalizing the results due to the limited statistical population (PhD students from Tehran University). Third, the problem of accessing some students due to their participation in research grants, academic immigration, etc.

The innovation of the current research is that the authors identified the opportunities and challenges that AI creates for higher education at different levels. The findings of this study also contribute to the enrichment of existing knowledge in the field regarding the effects of AI on the future of higher education, as researchers need more understanding of AI developments in the future of higher education.