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

Sabahat Hasan
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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.
学习效率最大化:探讨ChatGPT在大学生药理学评估中的影响
药理学作为保健教育的核心学科,在培养有能力和负责任的保健专业人员方面起着举足轻重的作用。传统的药理学评估方法,如笔试和多项选择题,长期以来一直是评估学生对药物相互作用、机制和临床应用的理解的标准。然而,随着技术的不断进步,将人工智能(AI)整合到教育中已经成为提高学习效率和提高学生参与度的一种变革性方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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