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

Abstract

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.

Eco-friendly and Secure Data Center to Detection Compromised Devices Utilizing Swarm Approach

“…Cloud computing has become more sustainable and intelligent as low-power resources and intelligent devices are used in networks to prevent negative transmission and distribution repercussions. Furthermore, combining Mobile cloud computing (MCC) with the Green Smart Grid (GSG) provides trustworthy energy management as well as costeffective data sharing between end-users and service providers [39]. Furthermore, the use of cloud computing technologies such as HDFS, MapReduce, and H-base in a smart distribution network cloud platform enables for the rapid storage and processing of power data while also ensuring data security and integrity [40].…”