• Dr. G. Renuka

The rapid digitalization of higher education and the exponential growth of research data have intensified the need for intelligent tools capable of efficiently analysing and visually interpreting complex datasets. Artificial Intelligence (AI)–driven visualization tools have emerged as transformative technologies that integrate machine learning, predictive analytics, and automated visualization techniques to enhance research efficiency, analytical accuracy, and decision-making processes. This study examines the impact of AI-driven visualization tools on academic research productivity in higher education institutions. A descriptive research design was adopted for the study. Primary data were collected from 150 academic researchers, including faculty members, doctoral scholars, and postgraduate researchers, using a structured questionnaire. The study analysed awareness levels, adoption patterns, perceived benefits, challenges, and productivity outcomes associated with AI-based visualization platforms. Statistical techniques such as percentage analysis, mean score analysis, and correlation analysis were employed for data interpretation. The findings reveal a high level of awareness and adoption of AI-driven visualization tools among academic researchers. A majority of respondents reported that these tools significantly reduce the time required for data analysis and improve the accuracy of data interpretation by automating pattern detection and minimizing manual errors. The results further indicate that AI visualization tools enhance the quality of research publications by enabling clearer presentation of findings through interactive dashboards, intelligent charts, and real-time analytics. Researchers also experienced improved collaboration, as AI-driven platforms facilitate seamless data sharing and collective interpretation among interdisciplinary research teams. Despite these benefits, the study identified challenges such as lack of formal training, high subscription costs, limited technical support, and moderate concerns related to data privacy and ethical usage. The study concludes that AI-driven visualization tools have a significant positive impact on academic research productivity. Institutional integration of AI visualization technologies is essential to foster a data-driven research culture, improve publication quality, and enhance global research competitiveness in the digital academic environment.

AI Visualization, Academic Productivity, Research Efficiency, Data Analytics, Higher Education.

"AI-DRIVEN VISUALIZATION TOOLS AND THEIR IMPACT ON ACADEMIC RESEARCH PRODUCTIVITY", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.13, Issue 2, page no.5-11, February-2026, Available :http://www.jetir.org/papers/JETIRHJ06002.pdf

"AI-DRIVEN VISUALIZATION TOOLS AND THEIR IMPACT ON ACADEMIC RESEARCH PRODUCTIVITY", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.13, Issue 2, page no. pp5-11, February-2026, Available at : http://www.jetir.org/papers/JETIRHJ06002.pdf