This study aimed to investigate the gender differences in terms of anxiety among Yemeni university EFL learners. It also aimed to investigate the correlation between the level of anxiety and the academic achievement of the students. The participants of this study were 155 students chosen from the population through stratified random sampling. The participants are selected from English Department, Faculty of Arts, Ibb University, Yemen. The data was collected by using a questionnaire adopted from Yassin (2015), and the data was analysed by using 22nd version of the SPSS. The data of the first question was analysed by using T-test and the result of the analysis showed that the females experienced higher level of anxiety than male students, but the difference between both groups is not significant. The second question was analysed by using Pearson Product Moment Correlation and the result showed that there is not significant correlation between the level of anxiety and the academic achievement of the students.

PurposeThis paper aims to investigate the psychological impact of the COVID-19 pandemic on university students in Malaysian universities as well as its effect on their learning.Design/methodology/approachThe study employed a quantitative design, as the data were collected through a survey. The participants were 219 students, divided as follows: 102 local students and 117 international students in Malaysian universities.FindingsThe findings showed no significant difference in terms of the psychological impact of COVID-19 among students according to the variables, nationality (local and international), gender and level of study. The descriptive analysis showed that the outbreak of COVID-19 made the students anxious, worried and restless. Besides, the outbreak of COVID-19 made the students unable to focus on their study, feel anxious about studying, have less confidence on their leaning and commit more mistakes than normal days. The psychological stress made online learning during the isolation period less effective and less helpful for students, which made them more worried about their academic achievement and future study plans.Originality/valueCOVID-19 is a current issue, and the psychological effect of COVID-19 on local and international students and their learning has not been covered in previous literature.

ABSTRACT

Cloud computing (CC) delivers services for organizations, particularly for higher education institutions (HEIs) anywhere and anytime, based on scalability and pay-per-use approach. Examining the factors influencing the decision-makers’ intention towards adopting CC plays an essential role in HEIs. Therefore, this study aimed to understand and predict the key determinants that drive managerial decision-makers’ perspectives for adopting this technology. The data were gathered from 134 institutional managers, involved in the decision making of the institutions. This study applied two analytical approaches, namely variance-based structural equation modeling (i.e., PLS-SEM) and artificial neural network (ANN). First, the PLS-SEM approach has been used for analyzing the proposed model and extracting the significant relationships among the identified factors. The obtained result from PLS-SEM analysis revealed that seven factors were identified as significant in influencing decision-makers’ intention towards adopting CC. Second, the normalized importance among those seven significant predictors was ranked utilizing the ANN. The results of the ANN approach showed that technology readiness is the most important predictor for CC adoption, followed by security and competitive pressure. Finally, this study presented a new and innovative approach for comprehending CC adoption, and the results can be used by decision-makers to develop strategies for adopting CC services in their institutions.