Multi-criteria decision making for determining best teaching method using fuzzy analytical hierarchy process

During the outbreak of COVID-19, information technology played a critical role in promoting education all around the world. Online teaching boosts students' learning processes and has a good impact on their learning during the epidemic. Big data technology transforms traditional teaching approa...

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Veröffentlicht in:	Soft computing (Berlin, Germany) Jg. 27; H. 6; S. 2795 - 2807
Hauptverfasser:	Xu, Sheng-li, Yeyao, Tang, Shabaz, Mohammad
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Berlin/Heidelberg Springer Berlin Heidelberg 01.03.2023 Springer Nature B.V
Schlagworte:	Analytic hierarchy process Artificial Intelligence Big Data CAI Classrooms Computational Intelligence Computer assisted instruction Consumers Control Coronaviruses COVID-19 Decision making Education Educational technology Engineering Epidemics Ideology Information technology Internet Learning Liberal arts Mathematical Logic and Foundations Mathematics Mechatronics Multiple criterion Online instruction Optimization techniques Pandemics Robotics Soft Computing in Decision Making and in Modeling in Economics Students Teaching methods Tutoring Teaching methods Fuzzy AHP Epidemic situation Information technology Teaching
ISSN:	1432-7643, 1433-7479
Online-Zugang:	Volltext
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