TY - GEN
T1 - Detecting learning affect in e-learning platform using facial emotion expression
AU - Zakka, Benisemeni Esther
AU - Vadapalli, Hima
N1 - Publisher Copyright:
© The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021.
PY - 2021
Y1 - 2021
N2 - 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.
AB - 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.
KW - Convolutional neural network
KW - Facial emotion recognition
KW - e-learning
UR - http://www.scopus.com/inward/record.url?scp=85089716000&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-49345-5_23
DO - 10.1007/978-3-030-49345-5_23
M3 - Conference contribution
AN - SCOPUS:85089716000
SN - 9783030493448
T3 - Advances in Intelligent Systems and Computing
SP - 217
EP - 225
BT - Proceedings of the 11th International Conference on Soft Computing and Pattern Recognition, SoCPaR 2019
A2 - Abraham, Ajith
A2 - Jabbar, M.A.
A2 - Tiwari, Sanju
A2 - Jesus, Isabel M.S.
PB - Springer
T2 - 11th International Conference on Soft Computing and Pattern Recognition, SoCPaR 2019, and 11th World Congress on Nature and Biologically Inspired Computing, NaBIC 2019
Y2 - 13 December 2019 through 15 December 2019
ER -