Development and Evaluation of Interactive Flipped e-Learning (iFEEL) for Pharmacy Students during the COVID-19 Pandemic

Abstract

Background: Distance learning has come to the forefront of educational delivery throughout the world due to the COVID-19 pandemic. Presently, there is a paucity of studies that have utilized interactive e-lectures as a model for remote flipped learning. Objectives: To compare educational outcomes for the remote interactive flipped e-learning (iFEEL) activity versus paper-based in-class group learning (PICkLE). Methods: During the spring 2021 semester, tutorials in pharmaceutical quality control and good manufacturing practice were remotely delivered to students by two different approaches: PICkLE and iFEEL. In the latter activity, interactive e-lectures were software-designed and included several audiovisual enhanced illustrations to encourage students to interact with the lecture material prior to attending the virtual class. The class time was reserved for in-class quizzes and discussion. Mean exam scores were compared and voluntary questionnaires were distributed among the participating students as well as healthcare faculty members in 29 Saudi universities. Data from the remotely-delivered course was compared with data from previous course offerings (2018–2020) that used the live PICkLE method. Results: The mean score of post-lecture tests significantly (p < 0.05) increased compared to pre-lecture tests in remote PICkLE and iFEEL, respectively. iFEEL activity showed higher mean post-tests score (95.2%) compared to live PICkLE (90.2%, p = 0.08) and remote PICkLE (93.5%, p = 0.658). Mean comprehensive exam scores increased from 83.8% for remote PICkLE to 89.2% for iFEEL (p = 0.449). On average, 92% of students and 85% of faculty members reported positive feedback on the five quality attributes of the e-lecture. Over 75% of students preferred the iFEEL over PICkLE activity for future course offerings and 84% of faculty members recommend the integration of interactive e-lectures in their future courses. Conclusion: iFEEL represents a novel model of remote flipped learning and shows promising potential to be incorporated into live blended-learning classroom activities.