Detecting learning affect in e-learning platform using facial emotion expression

Benisemeni Esther Zakka, Hima Vadapalli

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

Abstract

Recent trends in education have shifted from traditional classroom learning to an online learning setting; however, research has indicated a high drop out rate among e-learners. Boredom, lack of motivation are among the factors that led to this decline. This study develops a platform that provides feedback to learners in real-time while engaging in an online learning video. The platform detects, predicts and analyses the facial emotions of a learner using Convolutional Neural Network (CNN), and further maps the emotion to a learning affect. The feedback generated provides a reasonable understanding of the comprehension level of the learner.

Original languageEnglish
Title of host publicationProceedings of the 11th International Conference on Soft Computing and Pattern Recognition, SoCPaR 2019
EditorsAjith Abraham, M.A. Jabbar, Sanju Tiwari, Isabel M.S. Jesus
PublisherSpringer
Pages217-225
Number of pages9
ISBN (Print)9783030493448
DOIs
Publication statusPublished - 2021
Externally publishedYes
Event11th International Conference on Soft Computing and Pattern Recognition, SoCPaR 2019, and 11th World Congress on Nature and Biologically Inspired Computing, NaBIC 2019 - Hyderabad, India
Duration: 13 Dec 201915 Dec 2019

Publication series

NameAdvances in Intelligent Systems and Computing
Volume1182 AISC
ISSN (Print)2194-5357
ISSN (Electronic)2194-5365

Conference

Conference11th International Conference on Soft Computing and Pattern Recognition, SoCPaR 2019, and 11th World Congress on Nature and Biologically Inspired Computing, NaBIC 2019
Country/TerritoryIndia
CityHyderabad
Period13/12/1915/12/19

Keywords

  • Convolutional neural network
  • Facial emotion recognition
  • e-learning

ASJC Scopus subject areas

  • Control and Systems Engineering
  • General Computer Science

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