E‐Learning for Continuing Medical Education of Neurology Residents.

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Title: E‐Learning for Continuing Medical Education of Neurology Residents.
Authors: Dong, Liang1 (AUTHOR), Gao, Tingting1 (AUTHOR), Zheng, Wei1 (AUTHOR), Zeng, Kebin1 (AUTHOR) zkebin2008@aliyun.com, Wu, Xiushu1 (AUTHOR) 570679823@qq.com
Source: Mind, Brain & Education. Feb2021, Vol. 15 Issue 1, p48-53. 6p.
Subject Terms: *Neurology education, *Continuing medical education, *Residents (Medicine), Neurological disorders, Simulated patients, Knowledge acquisition (Expert systems), Knowledge gap theory
Abstract: This study focuses on the application, advantages, and disadvantages of E‐learning in neurology education. The findings of the study demonstrate that E‐learning can effectively improve learning efficiency and reduce learning costs. Neurologists can access the right study material on the Internet anytime, anywhere. Compared with traditional teaching methods, it is easier for text, graphics, animation, audio, video, and other multimedia formats of E‐learning to attract learners' interest. This makes the complex subject of neurology, including its basic theories, more vivid, and easier to understand for young neurologists. Moreover, in clinical practice, gaps in knowledge and skills acquisition can be bridged by treating virtual patients and watching videos of examination techniques and pathological signs. Compared with traditional teaching methods, E‐learning can better meet individual needs, and thus it has come to be one of the foremost choices for young neurologists to continue learning. Lay abstract: This study focuses on the application of E‐learning in neurology education, which demonstrates that E‐learning can effectively improve learning efficiency and reduce learning costs. In clinical practice, gaps in knowledge and skills acquisition can be bridged by treating virtual patients and watching videos of examination techniques and pathological signs. E‐learning can better meet individual needs, and thus it has come to be one of the foremost choices for young neurologists to continue learning. [ABSTRACT FROM AUTHOR]
Copyright of Mind, Brain & Education is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: E‐Learning for Continuing Medical Education of Neurology Residents.
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  Data: <searchLink fieldCode="AR" term="%22Dong%2C+Liang%22">Dong, Liang</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Gao%2C+Tingting%22">Gao, Tingting</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zheng%2C+Wei%22">Zheng, Wei</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zeng%2C+Kebin%22">Zeng, Kebin</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> zkebin2008@aliyun.com</i><br /><searchLink fieldCode="AR" term="%22Wu%2C+Xiushu%22">Wu, Xiushu</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> 570679823@qq.com</i>
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  Data: <searchLink fieldCode="JN" term="%22Mind%2C+Brain+%26+Education%22">Mind, Brain & Education</searchLink>. Feb2021, Vol. 15 Issue 1, p48-53. 6p.
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  Data: *<searchLink fieldCode="DE" term="%22Neurology+education%22">Neurology education</searchLink><br />*<searchLink fieldCode="DE" term="%22Continuing+medical+education%22">Continuing medical education</searchLink><br />*<searchLink fieldCode="DE" term="%22Residents+%28Medicine%29%22">Residents (Medicine)</searchLink><br /><searchLink fieldCode="DE" term="%22Neurological+disorders%22">Neurological disorders</searchLink><br /><searchLink fieldCode="DE" term="%22Simulated+patients%22">Simulated patients</searchLink><br /><searchLink fieldCode="DE" term="%22Knowledge+acquisition+%28Expert+systems%29%22">Knowledge acquisition (Expert systems)</searchLink><br /><searchLink fieldCode="DE" term="%22Knowledge+gap+theory%22">Knowledge gap theory</searchLink>
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  Data: This study focuses on the application, advantages, and disadvantages of E‐learning in neurology education. The findings of the study demonstrate that E‐learning can effectively improve learning efficiency and reduce learning costs. Neurologists can access the right study material on the Internet anytime, anywhere. Compared with traditional teaching methods, it is easier for text, graphics, animation, audio, video, and other multimedia formats of E‐learning to attract learners' interest. This makes the complex subject of neurology, including its basic theories, more vivid, and easier to understand for young neurologists. Moreover, in clinical practice, gaps in knowledge and skills acquisition can be bridged by treating virtual patients and watching videos of examination techniques and pathological signs. Compared with traditional teaching methods, E‐learning can better meet individual needs, and thus it has come to be one of the foremost choices for young neurologists to continue learning. Lay abstract: This study focuses on the application of E‐learning in neurology education, which demonstrates that E‐learning can effectively improve learning efficiency and reduce learning costs. In clinical practice, gaps in knowledge and skills acquisition can be bridged by treating virtual patients and watching videos of examination techniques and pathological signs. E‐learning can better meet individual needs, and thus it has come to be one of the foremost choices for young neurologists to continue learning. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
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  Data: <i>Copyright of Mind, Brain & Education is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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      – Type: doi
        Value: 10.1111/mbe.12271
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      – Code: eng
        Text: English
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    Subjects:
      – SubjectFull: Neurology education
        Type: general
      – SubjectFull: Continuing medical education
        Type: general
      – SubjectFull: Residents (Medicine)
        Type: general
      – SubjectFull: Neurological disorders
        Type: general
      – SubjectFull: Simulated patients
        Type: general
      – SubjectFull: Knowledge acquisition (Expert systems)
        Type: general
      – SubjectFull: Knowledge gap theory
        Type: general
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      – TitleFull: E‐Learning for Continuing Medical Education of Neurology Residents.
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            NameFull: Dong, Liang
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            NameFull: Gao, Tingting
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            NameFull: Zheng, Wei
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            NameFull: Zeng, Kebin
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            NameFull: Wu, Xiushu
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              M: 02
              Text: Feb2021
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              Y: 2021
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