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

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.

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Publication Details

Journal
Indian Journal of Microbiology Research
Published
2024-09-15
DOI
https://doi.org/10.18231/j.ijmr.2024.027
Citations
4
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.48
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article

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

Asitava Deb Roy, Dipmala Das, Rohon Das Roy, Subhayan Dasgupta
4 citations
Indian Journal of Microbiology Research
Artificial Intelligence in Healthcare and Education
0.48
article

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

Asitava Deb Roy, Dipmala Das, Rohon Das Roy, Subhayan Dasgupta
article en
4 citations

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.

Indian Journal of Microbiology ResearchVol. 11(3)
Sri Balaji Vidyapeeth University (IN)
Openalex Percentile: Top 31%
Artificial Intelligence in Healthcare and Education
0.48
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