Perceived influence of COVID-19 pandemic on university students' learning and mental health in Ethiopia.

This study reports perceived influence of COVID-19 on students' learning and mental well-being. The data of 367 students were analysed using R. The linear regression model was fitted. A regression coefficient with 95% confidence interval (CI) was computed to identify factors associated with the perceived influence of COVID-19 on students' education and mental health. The mean ± standard deviation scores of perceived influence of COVID-19 on students' learning and communication for learning were 31.7 ± 6.7 and 21.6 ± 3.6, respectively. A similar number of students, 109 (29.7%) reported having depression and anxiety. Being a female student had a negative association with the effects of COVID-19 on learning, while being a rural resident had a strong positive association with both the effects of COVID-19 on learning and communication for learning. Similarly, being a social science student and in 2nd year of study were positively associated with higher history of depression and anxiety. Residing in zonal towns, district towns, and rural settings were found to have a lower prevalence of depression and anxiety. The COVID-19 placed a serious effect on students' education and mental well-being. Thus, the Ethiopian health and higher education sectors need to provide students with basic educational resources and counselling services.

Survey data on the impact of COVID-19 on parental engagement across 23 countries.

This data article describes the dataset of the International COVID-19 Impact on Parental Engagement Study (ICIPES). ICIPES is a collaborative effort of more than 20 institutions to investigate the ways in which, parents and caregivers built capacity engaged with children's learning during the period of social distancing arising from global COVID-19 pandemic. A series of data were collected using an online survey conducted in 23 countries and had a total sample of 4,658 parents/caregivers. The description of the data contained in this article is divided into two main parts. The first part is a descriptive analysis of all the items included in the survey and was performed using tables and figures. The second part refers to the construction of scales. Three scales were constructed and included in the dataset: 'parental acceptance and confidence in the use of technology', 'parental engagement in children's learning' and 'socioeconomic status'. The scales were created using Confirmatory Factor Analysis (CFA) and Multi-Group Confirmatory Analysis (MG-CFA) and were adopted to evaluate their cross-cultural comparability (i.e., measurement invariance) across countries and within sub-groups. This dataset will be relevant for researchers in different fields, particularly for those interested in international comparative education.