Evaluation and comparison between online and traditional learning of veterinary anatomy | ||
| Journal of Veterinary Anatomy | ||
| Article 3, Volume 15, Issue 1, April 2022, Pages 35-47 PDF (521.02 K) | ||
| Document Type: Original Article | ||
| DOI: 10.21608/jva.2022.226451 | ||
| Authors | ||
| Gamal Allouch; Fahad A. Alshanbari | ||
| Department of Veterinary Medicine, College of Agriculture and Veterinary Medicine, Qassim University, Saudi Arabia. | ||
| Abstract | ||
| In the shadow of covid-19 pandemic, electronic learning (E-learning), also known as online classes, has become the main option. Therefore, the aim of this study was to assess the efficacy of online learning in veterinary anatomy, as well as the theoretical and practical outcomes that resulted from it. it compares the exam scores of students in both teaching methods (conventional and E-learning). About 100 students were used in this study. Furthermore, it demonstrated the students' practical knowledge in the area of E-online learning. The first semester was dedicated to formal education. The second semester was completed entirely online. The findings revealed that during lectures, complex involvement in online activities is substantially reduced. The awareness of students was assessed by comparing student grades from these three semesters. In comparison to traditional schooling, the exam results showed an irregular distribution in E-learning and online tests, with E-learning scores substan- tially higher. During the E-learning time, the functional laboratory was completely absent. The practical part, of the veterinary anatomy classes, involves laboratory participation to show students various systems of the animals and enable them to use different techniques, training them for future classes such as clinical and surgical classes. The results revealed that reached the conclusion that e-learning is inadequate for teaching veterinary anatomy. | ||
| Keywords | ||
| veterinary anatomy education; E-learning; online; skills assessment; and evaluation | ||
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