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https://hdl.handle.net/20.500.14365/5803
Title: | Using Technology To Predict the Future of Biomedical Education | Authors: | Harris, Robert A. Kazdagli, Hasan |
Keywords: | Artificial Intelligence Digitilization Education Research |
Publisher: | Wiley | Abstract: | Biomedical research is currently benefiting from a technological revolution in which multiple forms of omics are permitting unprecedented characterization of molecular pathways. Likewise, medical device and Ai-assisted technologies now make diagnoses and medical imaging more accurate. The field of education is also starting to embrace how technology can promote pedagogical development and student learning. But how will this landscape look like in 2050? With the premise that collaboration will be central to teaching and learning practices, that Together, Everything Can Happen (TECH), we examine the emerging trends and innovations in biomedical education, exploring how they will influence the field's evolution and shape future teaching practices in the coming years. | URI: | https://doi.org/10.1002/2211-5463.13953 https://hdl.handle.net/20.500.14365/5803 |
ISSN: | 2211-5463 |
Appears in Collections: | PubMed İndeksli Yayınlar Koleksiyonu / PubMed Indexed Publications Collection Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection |
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