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All Journal Journal of English Teaching, Applied Linguistics and Literatures (JETALL) Jurnal Abdimas Komunikasi dan Bahasa Jurnal Humanipreneur The Academic: English Language Learning Journal International Journal of Business English and Communication (IJoBEC) GEMBIRA (Pengabdian Kepada Masyarakat) PEDAMAS (Pengabdian Kepada Masyarakat) Al-Jamahiria : Jurnal Komunikasi dan Dakwah Islam Axiology
Lely Novia
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Religion Humanities Civil Engineering, Building, Construction & Architecture Economics, Econometrics & Finance Education Energy Engineering Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Social Sciences Other

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Journal : The Academic: English Language Learning Journal

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THE IMPACT OF ARTIFICIAL INTELLIGENCE LITERACY ON LECTURERS' ACADEMIC PERFORMANCE AND WORKFLOW EFFICIENCY Lely Novia; Noni, Nurdin
THE ACADEMIC: ENGLISH LANGUAGE LEARNING JOURNAL Vol 10 No 2 (2025): The Academic: English Language Learning Journal
Publisher : Lembaga Jurnal FKIP Universitas Bosowa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52208/aellj.v10i2.1579

Abstract

This study evaluates the Artificial Intelligence (AI) literacy of university lecturers and examines its subsequent impact on their academic performance, covering teaching, research, and administrative tasks. With the rapid advancement of generative AI in education, AI literacy is crucial for maximizing efficiency and effectiveness. A mixed-methods approach, combining quantitative surveys and qualitative thematic interviews, was employed to measure understanding, needs, and perceived impact. The quantitative results reveal a high conceptual AI literacy (average score: 4.36) among lecturers, alongside strong optimism regarding AI’s transformative role in education (90.9% believing in major change). Quantitatively, AI significantly increases efficiency in lecture preparation and research productivity. Qualitatively, however, the implementation is challenged by critical issues of academic integrity and a lack of systemic readiness (regulations, infrastructure). The key finding is the dual role of AI: it acts as a valuable "thinking partner" that boosts creativity and productivity, yet simultaneously introduces ethical concerns regarding humanistic teaching and student dependency. The study concludes that continuous, specific training on AI ethics and prompt engineering is an urgent institutional necessity to harness AI’s benefits responsibly.
STRATEGIC SPEECH: A FUNCTIONAL LINGUISTIC ANALYSIS OF CORPORATE STRATEGY DISCOURSE Asfah, Indrawaty; Lely Novia; Nurwahida
THE ACADEMIC: ENGLISH LANGUAGE LEARNING JOURNAL Vol 10 No 2 (2025): The Academic: English Language Learning Journal
Publisher : Lembaga Jurnal FKIP Universitas Bosowa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52208/aellj.v10i2.1584

Abstract

This paper explores how linguistic choices in corporate strategy discourse reflect strategic goals—informing, persuading, and engaging—through the lens of Halliday’s Systemic Functional Linguistics and Jakobson’s Communication Model. Using data from the video “The Great Debate on Corporate Strategy”, the study analyzes how expert speakers deploy ideational, interpersonal, and textual functions (Halliday) alongside referential, conative, emotive, and poetic functions (Jakobson). The findings reveal that corporate discourse is multifunctional, blending technical precision, rhetorical appeal, and stylistic engagement to achieve communicative impact. The paper concludes that integrating both linguistic frameworks offers a comprehensive understanding of strategic speech in professional contexts.
Co-Authors Abdul Wahid Alam, Alamsyah Alamsyah Alamsyah Alamsyah Alfina Mutya Andi Anto Patak Andi Nurafni Asfah, Indrawaty Asriati Asriati Baiq Nisrina Nur Ubudiyah Dwi Annisa Fadhilah Atikah Sari Fakhri, Muh Nur Fatimah Hidayahni Amin Ismail Rahim La Sunra Laelah Azizah M. Tahir Maemuna Muhayyang Maharsi Widya Astuti Misnah Mannahali Muftihaturrahmah Burhamzah Muftihaturrahmah Burhamzah Muhammad Adnan Muhammad Asriadi Muhammad Saad, Muhammad Murni Mahmud Noni, Nurdin Nur Aeni Nurdin Noni Nurwahida Rahmita Burhamzah Riny Jefri Rosmawati Rosmawati Suci Amaliah Suli, Virgita Crustia Sunra, La Syarifah Fatimah Wahyu Kurniati Asri Zakiah, Farah Nurul