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
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Zusammenfassung: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 approaches and learning processes by providing a rich learning resource for diverse teaching elements and improving teachers' teaching techniques. Due to the COVID-19 epidemic, online education spread quickly, and traditional instruction was abruptly switched to online mode, posing a number of issues for students and management. Choosing a decent teaching technique is not an easy option, and it is even more difficult when it comes to selecting the approach. We used the Fuzzy Analytical Hierarchy Process (Fuzzy AHP) method to evaluate four instructional methods based on seven criteria to solve this challenge. Fuzzy AHP is a powerful, simple, and direct way for determining which approach is the most efficient and effective. To simplify the selection process and address the issue of uncertainty, the Fuzzy AHP technique employs the geometric mean method. The Fuzzy AHP approach was found to be efficient and successful in the decision-making process in this study.
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ISSN:1432-7643
1433-7479
DOI:10.1007/s00500-022-07554-2