The Emerging Role of Artificial Intelligence and Natural Language Processing in Higher Education and Research
Author(s): Dr. Srilatha Chepure, Dr. CV Guru Rao
Publication #: 2501062
Date of Publication: 13.02.2023
Country: India
Pages: 1-6
Published In: Volume 9 Issue 1 February-2023
Abstract
Artificial Intelligence (AI) has transformed multiple domains, containing education and research, through advancements in Natural Language Processing (NLP). This paper presents a comprehensive overview of AI and NLP, focusing on their transformative prospective in study. By analyzing the benefits, challenges, and innovative applications of these technologies, this review offers valuable insights for educators, researchers, and students. Key research applications discussed include text generation, data analysis and interpretation, literature reviews, document formatting, editing, and peer review processes. In the academic and educational sphere, AI applications extend to providing educational support, practical feedback, automated assessment and grading, personalized curriculum development. The discussion also addresses critical challenges such as ethical considerations and algorithmic biases, emphasizing the need for responsible integration of AI. By exploring these dimensions, the paper contributes to the ongoing discourse on the role of AI in shaping future educational and research practices, highlighting its potential to enhance outcomes for stakeholders in these fields.
Keywords: Artificial Intelligence (AI) has transformed multiple domains, containing education and research, through advancements in Natural Language Processing (NLP). This paper presents a comprehensive overview of AI and NLP, focusing on their transformative prospective in study. By analyzing the benefits, challenges, and innovative applications of these technologies, this review offers valuable insights for educators, researchers, and students. Key research applications discussed include text generation, data analysis and interpretation, literature reviews, document formatting, editing, and peer review processes. In the academic and educational sphere, AI applications extend to providing educational support, practical feedback, automated assessment and grading, personalized curriculum development. The discussion also addresses critical challenges such as ethical considerations and algorithmic biases, emphasizing the need for responsible integration of AI. By exploring these dimensions, the paper contributes to the ongoing discourse on the role of AI in shaping future educational and research practices, highlighting its potential to enhance outcomes for stakeholders in these fields.
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