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

Amer Ibrahim; Pritesh Shah; Intisar A.M.Al Sayed; Israa Ibraheem Al Barazanchi; Ravi Sekhar; Hissah Almutairi; Mohanad Sameer Jabbar

doi:10.18280/isi.290108

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

Amer Ibrahim
, Pritesh Shah
, Intisar A.M.Al Sayed
, Israa Ibraheem Al Barazanchi
, Ravi Sekhar
, Hissah Almutairi
, Mohanad Sameer Jabbar

Research output: Contribution to journal › Article › peer-review

15 Scopus citations

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.

Original language	English
Pages (from-to)	65-73
Number of pages	9
Journal	Ingenierie des Systemes d'Information
Volume	29
Issue number	1
DOIs	https://doi.org/10.18280/isi.290108
State	Published - Feb 2024
Externally published	Yes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 4 Quality Education
SDG 8 Decent Work and Economic Growth
SDG 12 Responsible Consumption and Production

Keywords

and awareness
computer science
environmental education
Fuzzy-based Convolutional Neural Network
histogram equalization
human emotions
network
sustainable development education
virtual learning environment

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10.18280/isi.290108

Cite this

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title = "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.",

keywords = "and awareness, computer science, environmental education, Fuzzy-based Convolutional Neural Network, histogram equalization, human emotions, network, sustainable development education, virtual learning environment",

author = "Amer Ibrahim and Pritesh Shah and Sayed, \{Intisar A.M.Al\} and Barazanchi, \{Israa Ibraheem Al\} and Ravi Sekhar and Hissah Almutairi and Jabbar, \{Mohanad Sameer\}",

year = "2024",

month = feb,

doi = "10.18280/isi.290108",

language = "English",

volume = "29",

pages = "65--73",

journal = "Ingenierie des Systemes d'Information",

issn = "1633-1311",

publisher = "International Information and Engineering Technology Association",

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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

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 - https://www.scopus.com/pages/publications/85188213985

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 -

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

Abstract

UN SDGs

Keywords

Access to Document

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