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Online resources are becoming increasingly important in undergraduate education and have been associated with a number of advantages and positive outcomes on students' learning experience. However, online resource use by veterinary students for physiology learning remains poorly understood. Thus the present questionnaire-based study aims to investigate the extent to which first- and second-year veterinary students use online resources, including online video clips and social media, in their physiology learning and if this is influenced by factors of age, gender, entry status, or year of study. One-hundred and twenty-two students across seven UK universities completed the survey. Traditional resources (the lecturer and recommended textbooks) were the most preferred sources for physiology learning. Nonetheless, 97.5% of students used Internet search engines to explore physiology topics. Furthermore, students' tendency to contact their instructor regarding a physiology question was low. Rather, 92.6% said they would first search for an answer online. Particularly popular was the use of online video clips with 91.1% finding them valuable for physiology learning and 34.21% finding them more useful for understanding physiology than university taught material or lecture slides. YouTube was the most common online video clip platform used by students. Most students stated that they would enjoy interacting with course materials on an instructor-led social media page, but only 33.9% currently use social media to discuss physiology-related issues with classmates. Additionally, most students expressed concerns regarding the reliability of online resources but attempts to fact-check these resources were relatively low. Therefore, online resources represent an essential part of veterinary students' physiology learning and this suggests that educators can significantly improve student engagement and understanding of physiology by integrating these resources.
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Stored only when both papers are in the corpus — 20 citations exist upstream.
Papers that cite the same references — the relational fallback while embeddings are still backfilling.
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