TY - JOUR
T1 - Evaluating the Impact of Emotions and Awareness on User Experience in Virtual Learning Environments for Sustainable Development Education
AU - Ibrahim, Amer
AU - Shah, Pritesh
AU - Sayed, Intisar A.M.Al
AU - Barazanchi, Israa Ibraheem Al
AU - Sekhar, Ravi
AU - Almutairi, Hissah
AU - Jabbar, Mohanad Sameer
N1 - Publisher Copyright:
© 2024 International Information and Engineering Technology Association. All rights reserved.
PY - 2024/2
Y1 - 2024/2
N2 - This study aims to evaluate the impact of emotions and awareness on user experience in Virtual Learning Environments (VLEs). VLEs have become increasingly popular in educational settings, but they have limitations that can negatively affect the learning experience. To address this issue, a novel Fuzzy-based Convolutional Neural Network (FCNN) is proposed for effective emotion evaluation. The study utilizes questionnaire surveys to collect data on awareness of the VLE. The performance of the FCNN method is evaluated based on accuracy, sensitivity, specificity, and precision. The study acknowledges the limitations of VLEs but does not specify them. The sample size and participant details are not mentioned in the abstract. Overall, this study provides insights into the role of emotions and awareness in enhancing the user experience of VLEs.
AB - This study aims to evaluate the impact of emotions and awareness on user experience in Virtual Learning Environments (VLEs). VLEs have become increasingly popular in educational settings, but they have limitations that can negatively affect the learning experience. To address this issue, a novel Fuzzy-based Convolutional Neural Network (FCNN) is proposed for effective emotion evaluation. The study utilizes questionnaire surveys to collect data on awareness of the VLE. The performance of the FCNN method is evaluated based on accuracy, sensitivity, specificity, and precision. The study acknowledges the limitations of VLEs but does not specify them. The sample size and participant details are not mentioned in the abstract. Overall, this study provides insights into the role of emotions and awareness in enhancing the user experience of VLEs.
KW - and awareness
KW - computer science
KW - environmental education
KW - Fuzzy-based Convolutional Neural Network
KW - histogram equalization
KW - human emotions
KW - network
KW - sustainable development education
KW - virtual learning environment
UR - http://www.scopus.com/inward/record.url?scp=85188213985&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85188213985&partnerID=8YFLogxK
U2 - 10.18280/isi.290108
DO - 10.18280/isi.290108
M3 - Article
AN - SCOPUS:85188213985
SN - 1633-1311
VL - 29
SP - 65
EP - 73
JO - Ingenierie des Systemes d'Information
JF - Ingenierie des Systemes d'Information
IS - 1
ER -
