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E-Learning for Neurosurgery Residents: Knowledge, Attitudes, Benefits and Challenges
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Bahram Aminmansour1    , Sajad Solat2 , Ahmadreza Rafiei3 |
1- Department of Neurosurgery, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran
2- School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran
3- Department of Neurosurgery, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran , ahmadreza.raf@gmail.com |
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Abstract: (372 Views) |
Introduction: Due to neurosurgery's clinical and practical nature, this study aimed to evaluate the applicability and effectiveness of e-learning for neurosurgery residents.
Methods: This cross-sectional observational study, conducted in 2022, included 125 neurosurgery residents selected through census sampling from six medical universities in Iran: Isfahan, Tehran, Mashhad, Shiraz, Tabriz, and Mazandaran. Data were collected using Tashkandi’s (2021) standardized questionnaire, focusing on four variables associated with e-learning.
Results: The results demonstrated that residents were familiar with e-learning tools, including mobile-based learning, hyperlinks, online classes, discussion boards, e-assessments, electronic resources, and problem-based learning. Approximately 77.2% of participants reported sufficient knowledge acquisition through mobile-based learning, while 60% described their engagement in e-learning as moderate. A total of 97 residents (77.6%) preferred in-person learning over e-learning.
Conclusion: To improve the integration of e-learning in neurosurgery education, significant enhancements to information infrastructure, bandwidth, and technology are required. Furthermore, educational software should be tailored to individual specialties, incorporating expert recommendations, detailed specialty-specific content, and advanced simulations. |
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| Keywords: E-Learning, Neurosurgery, Resident |
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Full-Text [PDF 825 kb]
(103 Downloads)
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Type of Article: Short Communication |
Subject:
Neurosurgery
Received: 2024/03/17 | Revised: 2025/02/19 | Accepted: 2023/11/15 | ePublished: 2025/02/11
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