Adoption of Deep Learning and recognition of emotion across E-learning platforms with implementation of Blockchain across various devices

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25410%2F25%3A39923676" target="_blank" >RIV/00216275:25410/25:39923676 - isvavai.cz</a>

Výsledek na webu

<a href="https://doi.org/10.1016/j.procs.2025.07.012" target="_blank" >https://doi.org/10.1016/j.procs.2025.07.012</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.procs.2025.07.012" target="_blank" >10.1016/j.procs.2025.07.012</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Adoption of Deep Learning and recognition of emotion across E-learning platforms with implementation of Blockchain across various devices

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Adoption of Deep Learning and recognition of emotion across E-learning platforms with implementation of Blockchain across various devices

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2025

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Procedia Computer Science: International Conference on Industry Sciences and Computer Science Innovation (iSCSi’24)

ISBN

—

ISSN

1877-0509

e-ISSN

1877-0509

Počet stran výsledku

8

Strana od-do

90-97

Název nakladatele

Elsevier B.V.

Místo vydání

Amsterdam

Místo konání akce

Porto

Datum konání akce

29. 10. 2024

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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