Maximizing learning efficiency: exploring the impact of ChatGPT in pharmacology assessment for undergraduates

Authors

  • Sabahat Hasan Department of Pharmacology, MLN Medical College, Prayagraj, Uttar Pradesh, India

DOI:

https://doi.org/10.18203/2319-2003.ijbcp20233203

Abstract

Pharmacology, as a core discipline in healthcare education, plays a pivotal role in shaping competent and responsible healthcare professionals. The traditional methods of pharmacology assessment, such as written exams and multiple-choice questions, have long been the norm for evaluating students' understanding of drug interactions, mechanisms, and clinical applications. However, as technology continues to advance, integrating artificial intelligence (AI) into education has emerged as a transformative approach to enhance learning efficiency and improve student engagement.

References

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Published

2023-10-25

How to Cite

Hasan, S. (2023). Maximizing learning efficiency: exploring the impact of ChatGPT in pharmacology assessment for undergraduates. International Journal of Basic & Clinical Pharmacology, 12(6), 879–880. https://doi.org/10.18203/2319-2003.ijbcp20233203

Issue

Section

Letter to the Editor