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Exploring the Transformative Potential of Machine Learning ..:
, In:
2023 World Engineering Education Forum - Global Engineering Deans Council (WEEF-GEDC)
,
Vega, Karen Ariadna Guzman
;
Tejeda, Santa
- p. 1-9 , 2023
Link:
https://doi.org/10.1109/WEEF-GEDC59520.2023.10343631
RT T1 <cTitle>2023 World Engineering Education Forum - Global Engineering Deans Council (WEEF-GEDC)</cTitle>: T1 <Title>Exploring the Transformative Potential of Machine Learning in Engineering and STEM Education: A Comprehensive Study on Enhancing Cognitive Levels and Learning Insights</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10343631&Exemplar=1&LAN=DE A1 Vega, Karen Ariadna Guzman A1 Tejeda, Santa YR 2023 SN 2837-5025 K1 Knowledge engineering K1 Technological innovation K1 Education K1 Taxonomy K1 Machine learning K1 Reflection K1 Engineering education K1 higher education K1 machine learning K1 learning taxonomy K1 educational innovation SP 1 OP 9 LK http://dx.doi.org/https://doi.org/10.1109/WEEF-GEDC59520.2023.10343631 DO https://doi.org/10.1109/WEEF-GEDC59520.2023.10343631 SF ELIB - SuUB Bremen
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