EXPLORING THE USAGE OF ARTIFICIAL INTELLIGENCE RESEARCH TOOLS ON SOCIAL MEDIA PLATFORMS FOR ACADEMIC RESEARCH INFORMATION AMONG SOCIAL SCIENCE SCHOLARS AT TAMIL NADU UNIVERSITIES
Journal: Proceedings on Engineering Sciences (Vol.6, No. 2)Publication Date: 2024-06-30
Authors : Pitchaipandi Pandi Baskaran Chinnasamy;
Page : 565-576
Keywords : Artificial Intelligence; Research Tools; Social Media Platforms; Scholarly Academic Research; Social Science Scholars; Selected Universities;
Abstract
This article delves into the vast potential and explores how social science scholars in Tamil Nadu universities utilize research tools powered by artificial intelligence to disseminate academic research information. In section two, I mention that these tools help with research objectives and literature reviews. Moving on to the third section, I delve into the methodologies employed in this study. A survey of researchers collected data from 623 respondents through Google Forms. Analyze data using Microsoft Excel and SPSS version 23 in Section Four. Methods used: frequency analysis, paired-samples t-statistics, Pearson correlation coefficients, and independent samples t-tests. I discuss the data analysis of AI research tools ethically. I discuss how these processes and data using these tools can positively impact social science research and accuracy. I conclude by highlighting the purpose of artificial intelligence tools: to increase collaborations between social science scholars and analysts to ensure that AI tools are used safely and ethically and because of the progress of artificial intelligence requirements in theories of human behaviour.
Other Latest Articles
- MATERIALS MANAGEMENT AND PROJECT DELIVERY OF CONSTRUCTION FIRMS
- ASSESSMENT OF SERVICE QUALITY DELIVERY IN RURAL DISTRICTS OF ZAMBIA
- NUMERICAL ANALYSIS OF A VISCOUS TRANSMISSION
- TENSILE STRENGTH, SURFACE MORPHOLOGY, AND PRELIMINARY CORRELATION ANALYSIS OF AL-17SI ALLOYS IN FRICTION STIR WELDING PROCESSES
- REAL TIME AIR QUALITY SURVEILLANCE & FORECASTING SYSTEM (RTAQSFS) IN PUNE CITY USING MACHINE LEARNING-BASED PREDICTIVE MODEL
Last modified: 2024-06-05 22:35:27