This study presents a quantitative descriptive analysis comparing the performance of human simultaneous interpreters (H-SI) and AI-driven interpreting systems (AI-SI) using deep learning architectures specifically Transformer-based models (e.g., mBART, Wav2Vec 2.0 + NMT pipelines) in real-time multilingual contexts. Drawing on a corpus of 1,248 interpreted segments extracted from TED Talks (English–Spanish, English–Mandarin), we evaluate output quality across six empirically derived metrics: lexical accuracy, syntactic fluency, temporal alignment, semantic fidelity, discourse cohesion, and error density. Data were collected from 30 professional human interpreters and three state-of-the-art AI systems (Google Translate Live, DeepL Pro, and a fine-tuned mBART-50 model). Statistical analyses (descriptive statistics, Mann-Whitney U tests, and Kruskal-Wallis H tests) reveal that while AI-SI outperforms H-SI in lexical accuracy (M = 92.4%, SD = 3.1) and temporal alignment (M = 0.87s lag, SD = 0.21), human interpreters demonstrate significantly superior performance in semantic fidelity (M = 86.7% as well as. 71.3%, p < .001) and discourse cohesion (M = 84.1% as well as. 63.9%, p < .001). Error density was significantly lower in human output (Mean Rank = 47.3 as well as. 29.1, p = .002). Findings suggest that current AI systems, despite algorithmic advancements, remain deficient in pragmatic and contextual adaptation core competencies rooted in human cognitive-linguistic processing. The study contributes a validated metric framework for evaluating AI interpreting performance and calls for hybrid human-AI paradigms in professional settings. Implications for interpreter training curricula and machine translation pedagogy are discussed

Keywords: Simultaneous Interpreting، Artificial Intelligence، Deep Learning، Quantitative Descriptive Research، Machine Translation، Human-Machine Comparison، Interpreter Performance، Transformer Model

-This qualitative case study investigates the effectiveness of AI-driven translation technologies in mediating cultural understanding within English Language Teaching (ELT) contexts in Libyan higher education. Drawing on data from semi-structured interviews with 55 ELT instructors, 24 classroom observations across six universities, and document analysis of student translation outputs and institutional curricula, the study reveals a dualistic role of artificial intelligence in language pedagogy. While AI-powered tools such as Google Translate and Microsoft Translator significantly enhance lexical accessibility and reduce language anxiety among learners, their capacity to convey cultural nuance remains critically limited. Findings indicate that algorithmic biases, rooted in Anglo-American linguistic corpora, result in the systematic flattening of cultural meaning and misrepresentation of idioms, humor, politeness strategies, and socio-pragmatic cues, thereby reinforcing a form of digital linguistic imperialism. Students’ uncritical reliance on AI outputs has fostered a “copy-paste culture,” undermining opportunities for intercultural reflection and eroding pragmatic awareness. However, the study also identifies transformative potential when AI tools are pedagogically repurposed through “teaching against the machine” strategies. A subset of instructors successfully used AI-generated mistranslations as pedagogical moments to foster critical cultural awareness, metacognitive reflection, and intercultural dialogue. Despite this potential, widespread implementation is hindered by systemic barriers, including the absence of institutional policies, lack of professional development, curricular gaps, and infrastructural challenges. The research concludes that AI technologies are not inherently facilitative or obstructive to cultural understanding; rather, their effectiveness is contingent upon intentional pedagogical mediation, critical digital literacy, and context-sensitive integration. The study calls for curriculum reforms, ethical AI integration frameworks, and teacher training programs that

position AI as a scaffold, not a substitute for intercultural communicative competence in ELT contexts

KEYWORDS: AI-driven translation, cultural understanding,, English language teaching, higher education, Libya, intercultural competence, technology integration

driven translation technologies in mediating his qualitative case study investigates the effectiveness of AI

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In the era of digital communication, Facebook has emerged as a powerful platform influencing language use, particularly among university students. This study investigates the phenomenon of "Facebook English," a distinctive digital variety marked by informal grammar, abbreviations, emoticons, and creative lexical formations. Focusing on Libyan English department students, the research explores the relationship between Facebook usage and its impact on academic writing, grammatical accuracy, and perceptions of language formality. Using a quantitative methods approach that includes surveys and statistical analysis, the findings reveal no significant correlation between Facebook use and academic English performance. However, gender and age differences were observed in the use and perception of Facebook English. The study emphasizes the need for language educators to integrate digital literacy and critical language awareness into curricula, enabling students to navigate both informal and academic registers effectively. These findings contribute to the broader understanding of computer-mediated communication and its pedagogical implications in EFL contexts. Keywords: Facebook English, Computer-Mediated Communication (CMC), Sociolinguistics, Libyan University Students, Digital Literacy, Language Variation, Academic Writing, Informal Registers, English as a Foreign Language (EFL), Social Media Linguistics

Due to the scientific research at present is considered one of the important and major functions performed by both faculty members and postgraduate students, in order to contribute to the dissemination of knowledge and solutions to the various problems facing the society, and also to the advancement of Libyan universities. This paper aims to identify the difficulties faced the students in the Libyan universities in scientific research from perspectives of faculty members and postgraduate students, and to know the difficulties that hinder the scientific research in these universities and work to confront them. In addition, the researchers used the SPSS method to reach the objectives of this paper. A questionnaire was distributed to faculty members and postgraduate students in order to obtain data that contribute to the objectives of this paper. This paper concluded that faculty members contribute to training students on scientific research, and there is cooperation between the supervisor and the student in relation to the thesis presented by students. Moreover, Libyan scientific journals publish the researches for students whose research terms meet all conditions of scientific research. Research recommended that work to training the postgraduate students on scientific research skills in what is related to all of his fields, as well as how to write, present and interpret results, proposals and recommendations, and establish a special and independent department for scientific publishing in Libyan universities

This paper aims to analyze mainstream technology and Internet-based learning and attempts to explore the possibilities of incorporating digital text into the curriculum. Where this paper came to answer two important questions namely how can technology increase reading comprehension skills and make readers more efficient in their L2? What is the position of teachers and students of English as a foreign language about the Internet application in the classroom?. This paper found that the reader can connect with the ideas and incorporate them into previously gained information; also, improving reading comprehension skills primarily requires motivation, mental frameworks for holding ideas, concentration and good study techniques. Moreover, Realizing and understanding the text is much more complex and practical than vocabulary familiarity Keywords: Online Reading, Comprehension, Expanding, Understanding. 

This paper discusses the elements of popular culture in The Great Gatsby by F. Scott Fitzgerald. It highlights how the novel reflects the social and cultural atmosphere of the 1920s in America, particularly the rise of materialism, the pursuit of pleasure, and the decline of moral values. Through its depiction of jazz music, fashion, parties, cars, and the obsession with wealth, the novel serves as a mirror of the Jazz Age. The study concludes that The Great Gatsby is not only a literary masterpiece but also a cultural document that captures the spirit of its time and the contradictions within the American Dream.