This study investigates the key forms of address used amongst Jordanian university students, the impact of gender on using these forms and what accounts for the variation in their address system. By addressing the issue of normativity and heterogeneity in the use of address terms, in different social settings, the study enriches the understanding of the internal variation of the address term system. Data collected through questionnaires and semi-structured interviews were analysed, based on Watts’ discursive approach to politeness and Agha’s approach of indexicality. The results revealed that the identified normative patterns represent Jordanian university politic behaviours, which index different social meanings and relations among the youth community, in relation to specific social contexts. The most frequent strategies university students use for addressing others are personal names, innovative terms, descriptive phrases, pronouns, titles, teknonyms, and religious, military, attention attractors, as well as a combination of these terms. It also seems that there are no absolute stable patterns of address term usage among the youth community, speaking Jordanian Arabic. Rather, there is an infinite society-internal heterogeneity in the address terms usage. The results also revealed that an intra-group variation signifies social struggles over the norms of address term usage and potentially normative incertitude.

This study explores user perceptions and practical employment of ChatGPT Translation among students involved in English-Arabic translation tasks. For the quantitative part method, data were collected from a diverse assembly of 102 participants, comprising demographic queries and a constructed 20-item Likert scale questionnaire. The collected data were categorized and critically examined under five principal constructs: Efficiency, Accuracy, Ease of Use, Trustworthiness, and Overall Preference. The findings indicate a predominantly positive perception of ChatGPT among the participants. In addition, detailed analysis reveals novel insights, such as the considerable appreciation for ChatGPT's role in enhancing translation efficiency and the high level of trust expressed in its ability to maintain the confidentiality of translated work. Another significant finding is the tool's competitive edge, with participants favoring ChatGPT over other translation tools. Furthermore, the findings underscore the importance of extending the research landscape on AI-assisted translation tools. Thus, extending the research on A.I. Translation platforms fosters their effective integration into the industry and understanding of their potential impact on the future of translation pedagogy.

The Jordanian translator in the era of COVID-19 pandemic: Challenges and perspectives

Despite increased focus on the role translation plays during crises, little research has investigated the impact of global crises on translators’ psychological, physical, social, and financial wellbeing. The current study explores the impact of the Covid-19 pandemic on Jordanian translators’ wellbeing. It adopts a qualitative approach using semi-structured interviews for data collection, and thematic analysis for data analysis and theme development. The study revealed that Covid-19 has had cascading effects on the Jordanian translators’ psychological, physical, social, and financial wellbeing. The current study also suggests that Jordanian translators, due to pandemic-related restrictions and measures, have witnessed marked changes in their eating and sleeping habits as well as their physical and social activities. Consequently, Jordanian translators have resorted to positive reframing, distraction via hobbies, spending time with family and friends, and reliance on technology to reduce the negative impact of the pandemic on their wellbeing. The current study recommends further research to examine individual aspects of Jordanian translators’ wellbeing.

Artificial Intelligence (AI) is revolutionizing translation teaching, training, and practices, yet its adoption amongst the translation studies community remains under-researched. The current study investigates Jordanian translation academics’ knowledge, attitudes and AI practices in teaching and academic research. The study employs a 5-likert scale questionnaire to explore translation academics’ awareness and attitudes about AI, their use of AI in research practices and their perception of AI use in the classroom. The study findings suggest that despite academics’ awareness of AI and its applications, they are reluctant to use it in their research practices. Furthermore, academics are hesitant to use AI in the translation classroom and more research is required to explore the underlying reasons behind this hesitation. The study recommends further research to understand the impact of AI adoption on teaching and learning, AI implications for academics and students’ training needs, and the role of higher education institutions in addressing AI within academic environments.