Akademik Yazmada İletişimsel Yapay Zekânın Kullanımına Dair Bir İnceleme

Developing proficiency in academic writing is a crucial component of higher education. It is clear that students across different fields have a strong need for inductive reasoning and support services to assist them in their scientific research approaches. As the number of undergraduates continues to rise and their backgrounds become more varied, students are receiving less personalized guidance and supervision during their academic writing. For graduate students and academics, whose main tasks include research and academic writing, the rise of Large Language Models (LLMs) in conjunction with user-friendly interfaces like Chat Generative Pre-Trained Transformer (ChatGPT), Bing Chat, and Google's Bard represents a huge challenge as well as a priceless opportunity in terms of generating content. Already, these technologies and their implementations are exerting a significant influence across diverse sectors pertaining to the development, administration, and utilization of information systems. This literature review will explore the developing landscape, with a specific focus on its consequences for academic writing. We aim to analyse this changing situation to illuminate its impact on researchers, practitioners, and other stakeholders in academia. Our objective is to provide insights and advance scholarly inquiry in this still developing, captivating, and rapidly growing domain with respect to academic writing practices.