Evaluating the Impact of Emotions and Awareness on User Experience in Virtual Learning Environments for Sustainable Development Education

• Published in: Ingénierie des systèmes d'Information Vol. 29; no. 1; pp. 65 - 73
• Main Authors: Ibrahim, Amer, Al Sayed, Intisar A.M., Jabbar, Mohanad Sameer, Almutairi, Hissah, Sekhar, Ravi, Shah, Pritesh, Al_Barazanchi, Israa Ibraheem
• Format: Journal Article
• Language: English
• Published: Edmonton International Information and Engineering Technology Association (IIETA) 01.02.2024
• Subjects: Artificial neural networks; CAI; Computer assisted instruction; Distance learning; Education; Emotions; Fuzzy logic; Learning management systems; Neural networks; Performance evaluation; Questionnaires; School environment; Students; Sustainable development; User experience; Virtual environments
• ISSN: 1633-1311; 2116-7125; 2116-7125
• DOI: 10.18280/isi.290108

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.