Usage of AI-Driven Utility Tools amongst Researchers of Andhra Pradesh Technical Institutes

The growth of science and technology, particularly Artificial Intelligence (AI), is clearly having a big impact across numerous areas, with education and research being particularly prominent. By utilising these AI-assisted digital technologies, one can assist in achieving objectives more quickly and accurately than ever before. The study intends to better understand how researchers are utilising AI-driven technologies for scholarly communications, including their usability, effectiveness, awareness, and different adaptation challenges. An online survey was conducted among technical professionals in the Andhra Pradesh region to assess the use of AI-driven tools for their research communication in the era of digital transformation. A total of 350 questionnaires were distributed in 16 technical colleges via email and social media by using the random sampling method and out of these, 272 complete and 25 incomplete responses were received. The data shows that while human interaction is still crucial, artificial intelligence’s contribution to research articles is continuously rising. 40.44 % of the respondents regularly use AI-driven tools for their research, while 36.02 % of the respondents are highly familiar and 48.16 % are little familiar with them. AI tools are primarily employed for writing research articles and detecting plagiarism, showing slightly higher usage than others. The major obstacles to wider adoption are insufficient knowledge and confidence in AI technologies. Even though most respondents acknowledge the potential of AI-driven tools, there is still a lack of total faith in these technologies.

Authors

Publication Details

Journal
DESIDOC Journal of Library & Information Technology
Published
2025-02-27
DOI
https://doi.org/10.14429/djlit.20322
Citations
1
Primary Topic
Electricity Theft Detection Techniques
Type
article
Field-Weighted Citation Impact
0.73
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article

Usage of AI-Driven Utility Tools amongst Researchers of Andhra Pradesh Technical Institutes

Shalini R. Lihitkar, Mandira Bairagi
1 citations
DESIDOC Journal of Library & Information Technology
Electricity Theft Detection Techniques
0.73
article

Usage of AI-Driven Utility Tools amongst Researchers of Andhra Pradesh Technical Institutes

Shalini R. Lihitkar, Mandira Bairagi
article en
1 citations

Abstract

The growth of science and technology, particularly Artificial Intelligence (AI), is clearly having a big impact across numerous areas, with education and research being particularly prominent. By utilising these AI-assisted digital technologies, one can assist in achieving objectives more quickly and accurately than ever before. The study intends to better understand how researchers are utilising AI-driven technologies for scholarly communications, including their usability, effectiveness, awareness, and different adaptation challenges. An online survey was conducted among technical professionals in the Andhra Pradesh region to assess the use of AI-driven tools for their research communication in the era of digital transformation. A total of 350 questionnaires were distributed in 16 technical colleges via email and social media by using the random sampling method and out of these, 272 complete and 25 incomplete responses were received. The data shows that while human interaction is still crucial, artificial intelligence’s contribution to research articles is continuously rising. 40.44 % of the respondents regularly use AI-driven tools for their research, while 36.02 % of the respondents are highly familiar and 48.16 % are little familiar with them. AI tools are primarily employed for writing research articles and detecting plagiarism, showing slightly higher usage than others. The major obstacles to wider adoption are insufficient knowledge and confidence in AI technologies. Even though most respondents acknowledge the potential of AI-driven tools, there is still a lack of total faith in these technologies.

DESIDOC Journal of Library & Information TechnologyVol. 45(2)
Openalex Percentile: Top 30%
Electricity Theft Detection Techniques
0.73
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Usage of AI-Driven Utility Tools amongst Researchers of Andhra Pradesh Technical Institutes — Shalini R. Lihitkar, Mandira Bairagi · DESIDOC Journal of Library & Information Technology (2025) | TGRS Research Map | TGRS