Adoption of Deep Learning and recognition of emotion across E-learning platforms with implementation of Blockchain across various devices
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Elsevier B.V.
Abstrakt
The drastic improvement in E-learning platform has transformed online education by providing unmatched flexibility and accessibility. However, the absence of face-to-face interaction has been challenging in keeping students under observation and elevating their engagement across E-learning platforms. This research paper proposes to combine Deep Learning (DL) and recognition of emotion in E-learning platforms with implementation of Blockchain technology across various devices, to manage challenges associated with observation and engagement of students in e-platforms. By reviewing the emotional state of a student using facial expressions, the proposed system would emphases on enhanced personalized learning experience by utilizing Blockchain Technology to ensure data security. This research paper is an attempt to explain the combination of Deep Learning and Blockchain thereby improving the effectiveness of E-learning platforms.
Rozsah stran
p. 90-97
ISSN
1877-0509
Permanentní identifikátor
Projekt
SGS_2024_017/??Informační technologie a datová analytika jako prostředek podpory rozvoje chytrého regionu?
Časopis nebo seriál
Procedia Computer Science: International Conference on Industry Sciences and Computer Science Innovation (iSCSi’24)
Vydavatelská verze
https://doi.org/10.1016/j.procs.2025.07.012
Přístup k e-verzi
Pouze v rámci univerzity
Název akce
International Conference on Industry Sciences and Computer Science Innovation (iSCSi’24) (29.10.2024 - 31.10.2024, Porto)
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Klíčová slova
Blockchain Technology, Deep Learning, E-learning, facial expression, Personalized Learning, Student Engagement, Technologie blockchain, Hluboké učení, E-learning, výrazy obličeje, Personalizované učení, Zapojení studentů