The study explores the impacts of fear emotions on technology adoption by teachers and students during the COVID-19 pandemic. Mobile learning (ML) has been considered an educational, social platform in private and public higher education institutes. Since several fears are connected with COVID-19, this study's key hypotheses are related to how COVID-19 influences Mobile Learning (ML) adoption. Educators, teachers, and students may face some common types of fear in the course of the coronavirus pandemic, such as fear of losing social relationships, fear of educational loss and failure, and fear because of the lockdown of the family in the prevailing circumstances. Different theoretical models, named Expectation-Confirmation Model (ECM) and Technology Acceptance Model (TAM), are combined to develop an integrated model for this study. The proposed model was analyzed with the development of a questionnaire survey. The survey served as a data collection instrument to collect data from students of the University of Sharjah in Sharjah city in the United Arab Emirates (UAE). Three hundred twenty undergraduate students participated in the study. The collected data was evaluated using the partial least squares-structural equation modeling (PLS-SEM). The significant predictors revealed by experimental results included perceived fear, perceived ease of use, expectation confirmation, satisfaction, and perceived usefulness, explaining the intention to use the mobile learning platform. According to our study, teaching and learning can be benefitted to a great extent by the adoption of mobile learning (ML) during this pandemic for educational purposes; however, this process may be negatively affected by the fear of future educational results, fear of losing social relations and fear of stressful family situations. Therefore, appropriate student evaluation may be conducted to overcome the emotional distress caused by the pandemic effectively.

This study tests the assumption in much of the literature on the second language acquisition of English tense and aspect morphophonology (e.g. bare verbs, V-ing, V-ed) that once speakers are beyond intermediate levels of proficiency, both distribution and interpretation of these forms are represented in a target-like way in their mental grammars. Three groups of advanced non-native speakers (whose L1s were Chinese, Japanese and the verb-raising languages Arabic, French, German and Spanish) were compared with native speakers on an acceptability judgement task requiring informants to judge the appropriateness of sentences involving different verb forms to contexts which privileged specific interpretations. The results suggest an effect of the persistent influence of parametric differences between languages such that where parametrised grammatical properties are not activated in the L1, they are not available for the construction of representations in the L2.

The main purpose of this paper is to examine the figures of speech used in Arabic political speeches as a tool of communication to gain political advantages. The analysis of the data will mainly depend on four emotive figures of speech: simile, metaphor, personification, and euphemism. Throughout the study, detailed analysis of how emotive expressions are translated from Arabic into English, maintaining the emotive content of the source texts (the written manuscript of a speech), is also examined. The Syrian President Bashar Al-Assad’s political speeches are taken as a sample, (the Syrian President will be referred to here after as Al-Assad). An explanation of possible ways of rendering the emotive expressions accurately and effectively into English follows.