Comparative Effectiveness of Blended Teaching Models with Micro-Teaching Assistants in Clinical Pharmacokinetics Education

Objective: This study aimed to evaluate the effectiveness of micro-teaching assistants within a hybrid online-offline teaching framework in the context of clinical pharmacokinetics education.Material and Methods: A total of 320 clinical pharmacy students participated, with 143 students from earlier cohorts forming the control group and 177 students from the 2019 and 2020 batches comprising of the observation group. Traditional teaching methodologies instructed the control group, while the observation group benefited from a novel, blended teaching approach incorporating micro-teaching assistants. The evaluation criteria encompassed theoretical knowledge acquisition, practical skill development, pass rates, and score distribution.Results: This investigation into clinical pharmacokinetics education demonstrates the superiority of a blended teaching model, enhanced by micro-teaching assistants, over traditional methodologies. The observation group, utilizing this approach, displayed a significant 15% increase in theoretical knowledge scores, maintained high practical skill levels, alongside achieving a 94.9% pass rate, markedly surpassing the control group’s 91.6%. Feedback from students corroborated the model’s effectiveness, with satisfaction scores exceeding 4.8 out of 5; despite potential respondent bias. Notably, the application of micro-teaching assistants was most pronounced in Pharmacology, highlighting its value in teaching complex theoretical content, and advocating for expanded use in medical education.Conclusion: This study concludes that the integration of micro-teaching assistants into blended teaching strategies for clinical pharmacokinetics significantly improves educational outcomes. This approach not only facilitates a more effective learning environment but also underscores the potential of innovative pedagogical tools in enhancing student performance, and comprehension in complex subjects.