Changes in information seeking patterns of medical students in the social media and artificial intelligence age: preliminary findings.

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Title: Changes in information seeking patterns of medical students in the social media and artificial intelligence age: preliminary findings.
Authors: Richa, Yasmina1 (AUTHOR) yricha@outlook.com, Asif, Aqua2 (AUTHOR), Burton, Oliver3 (AUTHOR), Richards, Helen3 (AUTHOR), Hennessey, Derek3 (AUTHOR)
Source: Clinical Teacher. Dec2024, Vol. 21 Issue 6, p1-1. 1p.
Subject Terms: *Social media in education, *Medical teaching personnel, *Information-seeking behavior, *Medical students, Language models
Abstract: The article "Changes in information seeking patterns of medical students in the social media and artificial intelligence age: preliminary findings" published in Clinical Teacher discusses how medical students are increasingly using non-traditional sources like social media and large language models for learning. A survey of 273 medical students found that 79.1% used social media or online video platforms for educational purposes, with benefits including quick access to medical knowledge and visually appealing resources. While 52.2% of students used large language models, concerns were raised about the reliability of medical information on social media. The study suggests that medical educators should be aware of these trends and provide guidance to students on the risks and benefits of using these resources. [Extracted from the article]
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Database: Education Research Complete
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Abstract:The article "Changes in information seeking patterns of medical students in the social media and artificial intelligence age: preliminary findings" published in Clinical Teacher discusses how medical students are increasingly using non-traditional sources like social media and large language models for learning. A survey of 273 medical students found that 79.1% used social media or online video platforms for educational purposes, with benefits including quick access to medical knowledge and visually appealing resources. While 52.2% of students used large language models, concerns were raised about the reliability of medical information on social media. The study suggests that medical educators should be aware of these trends and provide guidance to students on the risks and benefits of using these resources. [Extracted from the article]
ISSN:17434971
DOI:10.1111/tct.13772