Abstract
Artificial Intelligence (AI) transforms scientific writing by improving efficiency, accessibility, and quality. This study evaluated the applications, benefits, and challenges of AI tools, including Elicit, Perplexity, Consensus, ChatGPT, and Grammarly, in the literature review, information organization, and textual clarity enhancement. A narrative review and practical analysis were conducted, assessing the tools based on synthesis capabilities, accessibility, and accuracy. Results showed that AI tools optimize literature analysis and enhance the clarity of scientific texts, particularly for non-native English-speaking researchers.
This qualitative study explores the potential of generative artificial intelligence (AI) to improve the academic writing skills of a large student cohort within the context of a distance learning institution. Utilizing qualitative methods, the research explores diverse approaches and applications of generative AI to elevate teaching and learning experiences.
This study explores the impact of artificial intelligence (AI) tools on academic writing and research productivity, with a specific focus on their usage, perception, and effectiveness among students and academicians. Data were collected from 150 respondents, the majority of whom were postgraduate students (64.7%), followed by faculty members (12.7%) and PhD scholars (12.0%). Most participants belonged to the Business/Management (59.3%) and Humanities (28.7%) disciplines, and 56% had less than two years of academic experience, indicating a predominantly early-career academic sample. The findings revealed that 46.7% of respondents used AI tools frequently (daily or almost daily), and 89.3% confirmed that AI tools helped them publish more or complete projects faster, with a statistically significant association (χ² = 150.000, p < .001) between AI usage and increased research output. Furthermore, AI tools were found to significantly improve the quality of writing and save time (χ²=386.251, p<.001).