DIGITAL TOOLS AND ARTIFICIAL INTELLIGENCE IN ACADEMIC WRITING: POTENTIAL FOR ENHANCING DOCTORAL RESEARCH EFFICIENCY

Abstract

The article examines digital tools and artificial intelligence technologies that support academic writing and the research activity of doctoral students. It demonstrates that the digital transformation of scholarly communication is reshaping the role of the researcher and forming a new ecosystem of academic writing. The purpose of the study is to analyse and evaluate modern intelligent platforms used in the preparation and editing of scientific texts. The methodology is based on the principles of systemic and functional analysis and includes data triangulation: functional testing, expert assessments, and doctoral student feedback. A comparative and evaluative analysis of the most widely used tools (Litmaps, Connected Papers, ResearchRabbit, Elicit AI, Consensus, Perplexity AI, ChatGPT, DeepSeek) is conducted, and their functional and ethical characteristics are identified. The results of the analysis are presented in the form of an efficiency matrix that reflects the extent to which these tools reduce time costs, improve accuracy, and preserve research autonomy. The article discusses the risks and ethical considerations associated with the use of generative models, including issues of authorship, credibility, and academic integrity. Recommendations for the responsible use of digital tools in doctoral education are proposed