Adoption of Deep Learning and recognition of emotion across E-learning platforms with implementation of Blockchain across various devices
Year: 2025
Type: conference-paper
Abstract: 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.
Source: Procedia Computer Science
Authors: Suraj Belludi, Hana Kopackova
Institution: University of Pardubice
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: diamond
Funder: Univerzita Pardubice
Award: G8005022827
OpenAlex ID: W4413163156