The pandemic and subsequent ‘lockdowns’ dramatically changed the educational landscape of higher education institutions. Before-COVID-19, traditional universities had choices in pedagogical practice, which included a variety of teaching delivery modes. Overnight, a single mode of delivery became the only option for traditional higher education institutions. All services migrated to digital platforms, leading to a period of “emergency eLearning”. The full impact of this sudden shift to digital platforms on all cohorts of students is still unclear. A measure of disruption to the normal student learning experience, especially for those attending traditional universities, was inevitable. Moreover, this disruption was varied depending on the University’s country and the country’s lockdown logistics. This international, comparative, quantitative research project investigated and explored higher education students’ perceptions of emergency eLearning during the COVID-19 pandemic. Experiences of students at universities in three countries were evaluated in terms of four dimensions: (1) home learning environment, (2) engagement, (3) participation preference, and (4) impact on learning skills. The research revealed significant differences between the participating universities students’ experiences. The most important differences were in the ‘home learning environment’, followed by ‘engagement’ and the perception of ‘impact on learning skills’. The differences in the ‘home learning environment’ can be attributed to the differing economic and digital development of the surveyed countries: South Africa, Wales, and Hungary. Finally, different cultural backgrounds suggest a noticeable difference in student engagement, participation, and learning skills.

The low status of women prevents them from recognizing and voicing their concerns about health needs. This study aimed to examine the relationship between gender characteristics, health and empowerment of women in an attempt to understand between 2005 and 2011. Data from the Ethiopia Demographic and Health Survey (EDHS) 2005 and 2011 were used. Bivariate and multivariate analyses were used to determine the relative contribution of the predictor variables. The hypotheses tested in this study were that gender (men and women), health and empowerment of women in region are highly significant with women’s education and work status. Study findings showed that the low status of women and their disempowerment are highly associated with poor health outcomes. In both 2005 and 2011 men school ages were positively associated with their attainment in primary education, whereas for women it was negatively related with their attainment in some education. In both 2005 and 2011 women in the richest wealth quintile had the highest odds ratio of relating to some education. The results show that the odds ratios of women with some education (within the richest wealth quintile) has improved from 6.39 (in 2005) to 10.90 (in 2011), whereas among men there has been a decrease from 10.33 (in 2005) to 2.13 (in 2011). The results indicated that in 2005 and 2011, when comparing the percentage distribution of both genders on employment status and type of occupation, the percentage of men who were employed was higher than women. The percentage of males who were engaged in the agricultural-type of occupation was higher than that of women. Men and women knowledge about family planning methods have been improved, yet, there are wider gender gaps in family planning users. The officials such as policy makers, planners, program managers and government and non-government organizations need to addressed. The issue of child marriages in order to minimize the number of girls who never attend school or drop out to become wives Planners should also work on improving family planning to empower women. There was a significant relationship between status of women and quality of healthy life, and this relationship appeared to differ by education and work status.

In 2020, a global pandemic led to lockdowns, and subsequent social and business restrictions. These required overnight implementation of emergency measures to permit continued functioning of vital industries. Digital technologies and platforms made this switch feasible, but it also introduced several cyber related vulnerabilities, which students might not have known how to mitigate. For this study, the Global Cyber Security Index and the Cyber Risk literacy and education index were used to provide a cyber security context for each country. This research project—an international, cross-university, comparative, quantitative project—aimed to explore the risk attitudes and concerns, as well as protective behaviours adopted by, students at a South African, a Welsh and a Hungarian University, during the pandemic. This study’s findings align with the relative rankings of the Oliver Wyman Risk Literacy and Education Index for the countries in which the universities reside. This study revealed significant differences between the student behaviours of students within these universities. The most important differences were identified between students’ risk attitudes and concerns. It was also discovered that South African students reported having changed their protective online behaviours to the greatest extent, since the pandemic commenced. Recommendations are made suggesting that cyber security training and education, as well as improving the digital trust and confidence in digital platforms, are critical.

The aim of the research on which this article is based was to understand the behavioural changes of the target student population over time to ensure that future prevention programmes are more effective in changing behaviour. This study reports on quantitative data collected at the University of the Western Cape over a six-year period between 2007 and 2012. All the students attending the orientation sessions and who were willing to complete the anonymous questionnaire during each of the six years were included in the study. Data were collected on the following aspects and subjects: sexual activity, age at first sexual encounter, number of sexual partners, condom usage, knowledge of how to use a condom, perceived ability to discuss condoms usage with a sexual partner, perception of HIV risk and HIV testing as well as the intention to be tested. Reported alcohol and drug usage, as well as depressive symptoms, was also recorded. The percentage of students reporting having had vaginal sex prior to entering university increased from 44% in 2007 to 51% in 2012 but, alarmingly, the consistent use of condoms decreased from 60% in 2007 to 51% in 2012. The average onset age of about 15.6 years for males and 16.7 years for females for vaginal sex did not change over the six-year period. No difference in smoking patterns or drug use was seen over the period of the study, but the number of entering students who indicated that they consumed alcohol increased significantly from 48% in 2007 to 58% in 2012. HIV testing increased from 19% in 2007 to 47% in 2012, whereas the intention to be tested showed no significant change over the period. Although students increasingly reported that they knew enough about HIV/AIDS (63% in 2007 and 69% in 2012), about a third reported suffering from AIDS fatigue. Prevention efforts targeted at those incoming first-year students who are not yet sexually active (about 45% in this study) should be developed and should take into account the multiplicity of factors that appear to influence their sexual debut.

Purpose: This research aims to investigate the use of conversational artificial intelligence (CAI) in academic practice through the lens of activity theory, which emphasises the mediation of human actions by tools within a social context. Additionally, it seeks to determine if and how the results of qualitative analysis differ when using traditional qualitative analysis software tools compared to using artificial intelligence tools. Design/methodology/approach: A pragmatic approach to the research design was used. The data collection phase included a survey, with open- and closed-ended questions and was distributed to academics in four countries (South Africa, Hungary, Lebanon and Wales). The data analysis phase included a mixed-methods approach integrating and interpreting both types of data to leverage the strengths of both qualitative and quantitative insights. Furthermore, traditional qualitative analysis methods and artificial intelligence tools were used for the analysis phase, allowing for a comprehensive understanding of the interactions between academics and these tools. Findings: Younger academics used CAI more for research than teaching, with academics from the science faculty using it more for teaching, and business management lecturers using it more for research. While viewed positively, concerns arose about ethics and educational alignment. This research shows how CAI supports qualitative analysis by saving time and suggesting new directions. Originality/value: Using an “activity theory” theoretical lens, with a pragmatic approach, the research explores how CAI tools impact academic practices. The study enriches theoretical discourse and offers practical recommendations for education.

The COVID-19 pandemic and the subsequent emergency measures had a fundamental and disruptive impact on societies and, in particular, on the educational sector. The transition of the modality of educational delivery from face-to-face to online occurred within days; this research study considered the concepts of digital trust and digital access, using structuration, postmodernism, and critical social theory as lenses to understand Higher Education (HE) student experiences during the first wave of the lockdown. The study compared these aspects in Hungary, South Africa, and Wales (UK) with different digital and network readiness indices. The digital development of the countries is presented using both the Digital Intelligence and Network Readiness indices. The research approach was cross-country, international, comparative, inductive, and quantitative. The research study found that there was a significant relationship between the countries’ GDP and their network readiness, impacting students’ online learning experiences. Significant differences were found between the participating universities in terms of digital access and digital trust; this research provides valuable insights for informing future pedagogical approaches and teaching best practice, specifically for residential universities. Understanding challenges and barriers to student learning experiences, and the impact of inequitable access to digital technologies and communication, is key for future pedagogical policy and practice. Several recommendations are made to inform practice.