The use of generative artificial intelligence (AI) in teaching and assessment of postgraduate students in pathology and microbiology

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Review Article

Author Details : Asitava Deb Roy, Subhayan Dasgupta, Rohon Das Roy, Dipmala Das*

Volume : 11, Issue : 3, Year : 2024

Article Page : 140-146

https://doi.org/10.18231/j.ijmr.2024.027

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Abstract

The integration of generative artificial intelligence (AI) into the educational landscape is revolutionizing the training of postgraduate students, particularly in the diagnostic fields such as pathology and microbiology. While the benefits of generative AI are substantial, there are significant challenges to address. Ethical considerations, such as data privacy and bias, must be carefully managed to ensure equitable educational opportunities. Technical challenges, including the need for significant infrastructure and faculty training, also pose barriers to implementation. Additionally, resistance to change from both educators and students accustomed to traditional teaching methods must be overcome through demonstrating the tangible benefits of AI and providing adequate support during the transition period.Generative AI offers transformative potential for the teaching and assessment of postgraduate students in pathology and microbiology. By enhancing learning experiences, streamlining assessments, and providing personalized education, AI-driven tools can significantly improve the quality and accessibility of pathology education. However, addressing ethical and technical challenges is crucial to ensuring successful integration. As AI technologies continue to evolve, they will play an increasingly vital role in shaping the future of pathology and microbiology education, ultimately leading to better-prepared professionals and improved patient care.This narrative review explores the multifaceted applications of generative AI in enhancing the teaching and assessment of postgraduate students in these disciplines. By providing personalized learning experiences, simulating complex scenarios, and automating assessments, AI-driven tools promise to significantly improve educational outcomes. This review delves into the benefits, challenges, and future prospects of AI in pathology and microbiology education, aiming to offer a comprehensive understanding of its transformative potential.
 

Keywords: Generative artificial intelligence, Postgraduate education, Pathology, Microbiology.

How to cite : Roy A D, Dasgupta S, Roy R D, Das D, The use of generative artificial intelligence (AI) in teaching and assessment of postgraduate students in pathology and microbiology. Indian J Microbiol Res 2024;11(3):140-146

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