2022
DOI: 10.1007/s00521-022-06935-w
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Selection of suitable distance education platforms based on human–computer interaction criteria under fuzzy environment

Abstract: The rapid spread of the COVID-19 pandemic has affected not only the health industry but also the education sector. E-learning systems have recently become a compulsory part of all education institutions, including schools, colleges, and universities worldwide because of the COVID-19 pandemic crisis. The objectives of the current study were twofold: (1) to conduct an analytical approach for ranking of distance education platforms based on human–computer interaction criteria and (2) to identify the most appropri… Show more

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Cited by 26 publications
(7 citation statements)
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References 39 publications
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“…The findings showed that a student's academic success was related to their perceptual modality preference. Adem et al [102] focused on the human-computer interaction among students for a more applicable platform during distance learning. Their study highlighted that the need to re-assess and consider appropriate platforms for e-learning should be examined as these affect students' performance.…”
Section: Limitations and Future Usementioning
confidence: 99%
“…The findings showed that a student's academic success was related to their perceptual modality preference. Adem et al [102] focused on the human-computer interaction among students for a more applicable platform during distance learning. Their study highlighted that the need to re-assess and consider appropriate platforms for e-learning should be examined as these affect students' performance.…”
Section: Limitations and Future Usementioning
confidence: 99%
“…He analyzed the changes in the learning system of the education industry due to COVID-19. Finally, he proposed the technical standards of human-computer interaction to analyze and evaluate the teaching quality of the education platform [8]. Yang expounded on the function and structure of the existing navigation system using human-computer interaction technology.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Since the ultimate purpose of the entire affective computing model is to be able to discriminate the selected effective features, proper classification model selection is very necessary ( Adem et al, 2022 ). There are many kinds of classification models, and this paper chooses LDA as the basic classifier.…”
Section: Emotional Interaction Algorithm Based On Emotional Computingmentioning
confidence: 99%