An Emotional Feedback Based on Facial Action Coding System for MOOCs with Computer-Based Assessment

Mohamed Soltani; Hafed Zarzour; Mohamed Chaouki Babahenini; Mahmoud Hammad; Mohammad Al-Smadi; Yaser Jararweh

doi:10.1109/SNAMS.2019.8931885

An Emotional Feedback Based on Facial Action Coding System for MOOCs with Computer-Based Assessment

Mohamed Soltani
, Hafed Zarzour
, Mohamed Chaouki Babahenini
, Mahmoud Hammad
, Mohammad Al-Smadi
, Yaser Jararweh

University of Souk Ahras Mohamed Chérif Messaadia
University of Biskra
Jordan University of Science and Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

6 Scopus citations

Abstract

The emotion detection and recognition philosophy aims at facilitating human adaptation and social integration. Teaching process based on this philosophy implies observing the behavior of the learner in order to detect affective responses that can influence the learning quality. Similarly, emotional feedback can regulate the learners' emotional states in the e-learning environments integrating Massive Open Online Courses (MOOCs) as open access online courses. However, the emotion inclusion in such environments is still absent, nor during the learning activity or during the assessment process. In this paper, we propose a new emotional feedback based on facial action coding system for MOOCs, which aims to make the learners aware of their emotional states via the analysis of their facial expressions using the facial action coding system during the courses as well as integrate computer based assessment for evaluating learners' emotional states, thus improving their motivation, engagement, self-regulation and learning achievement. A prototype was developed to demonstrate the importance of such solution.

Original language	English
Title of host publication	2019 6th International Conference on Social Networks Analysis, Management and Security, SNAMS 2019
Editors	Mohammad Alsmirat, Yaser Jararweh
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	286-290
Number of pages	5
ISBN (Electronic)	9781728129464
DOIs	https://doi.org/10.1109/SNAMS.2019.8931885
State	Published - Oct 2019
Externally published	Yes
Event	6th International Conference on Social Networks Analysis, Management and Security, SNAMS 2019 - Granada, Spain Duration: 22 Oct 2019 → 25 Oct 2019

Publication series

Name	2019 6th International Conference on Social Networks Analysis, Management and Security, SNAMS 2019

Conference

Conference	6th International Conference on Social Networks Analysis, Management and Security, SNAMS 2019
Country/Territory	Spain
City	Granada
Period	22/10/19 → 25/10/19

UN SDGs

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

SDG 4 Quality Education
SDG 10 Reduced Inequalities

Keywords

CBA
Emotion detection
Emotional Awareness
Facial Action Coding System
MOOC

Access to Document

10.1109/SNAMS.2019.8931885

Cite this

Soltani, M., Zarzour, H., Babahenini, M. C., Hammad, M., Al-Smadi, M., & Jararweh, Y. (2019). An Emotional Feedback Based on Facial Action Coding System for MOOCs with Computer-Based Assessment. In M. Alsmirat, & Y. Jararweh (Eds.), 2019 6th International Conference on Social Networks Analysis, Management and Security, SNAMS 2019 (pp. 286-290). Article 8931885 (2019 6th International Conference on Social Networks Analysis, Management and Security, SNAMS 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SNAMS.2019.8931885

Soltani, Mohamed ; Zarzour, Hafed ; Babahenini, Mohamed Chaouki et al. / An Emotional Feedback Based on Facial Action Coding System for MOOCs with Computer-Based Assessment. 2019 6th International Conference on Social Networks Analysis, Management and Security, SNAMS 2019. editor / Mohammad Alsmirat ; Yaser Jararweh. Institute of Electrical and Electronics Engineers Inc., 2019. pp. 286-290 (2019 6th International Conference on Social Networks Analysis, Management and Security, SNAMS 2019).

@inproceedings{ad22e395b08a42e9af24dae0921facc3,

title = "An Emotional Feedback Based on Facial Action Coding System for MOOCs with Computer-Based Assessment",

abstract = "The emotion detection and recognition philosophy aims at facilitating human adaptation and social integration. Teaching process based on this philosophy implies observing the behavior of the learner in order to detect affective responses that can influence the learning quality. Similarly, emotional feedback can regulate the learners' emotional states in the e-learning environments integrating Massive Open Online Courses (MOOCs) as open access online courses. However, the emotion inclusion in such environments is still absent, nor during the learning activity or during the assessment process. In this paper, we propose a new emotional feedback based on facial action coding system for MOOCs, which aims to make the learners aware of their emotional states via the analysis of their facial expressions using the facial action coding system during the courses as well as integrate computer based assessment for evaluating learners' emotional states, thus improving their motivation, engagement, self-regulation and learning achievement. A prototype was developed to demonstrate the importance of such solution.",

keywords = "CBA, Emotion detection, Emotional Awareness, Facial Action Coding System, MOOC",

author = "Mohamed Soltani and Hafed Zarzour and Babahenini, \{Mohamed Chaouki\} and Mahmoud Hammad and Mohammad Al-Smadi and Yaser Jararweh",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 6th International Conference on Social Networks Analysis, Management and Security, SNAMS 2019 ; Conference date: 22-10-2019 Through 25-10-2019",

year = "2019",

month = oct,

doi = "10.1109/SNAMS.2019.8931885",

language = "English",

series = "2019 6th International Conference on Social Networks Analysis, Management and Security, SNAMS 2019",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "286--290",

editor = "Mohammad Alsmirat and Yaser Jararweh",

booktitle = "2019 6th International Conference on Social Networks Analysis, Management and Security, SNAMS 2019",

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}

Soltani, M, Zarzour, H, Babahenini, MC, Hammad, M, Al-Smadi, M & Jararweh, Y 2019, An Emotional Feedback Based on Facial Action Coding System for MOOCs with Computer-Based Assessment. in M Alsmirat & Y Jararweh (eds), 2019 6th International Conference on Social Networks Analysis, Management and Security, SNAMS 2019., 8931885, 2019 6th International Conference on Social Networks Analysis, Management and Security, SNAMS 2019, Institute of Electrical and Electronics Engineers Inc., pp. 286-290, 6th International Conference on Social Networks Analysis, Management and Security, SNAMS 2019, Granada, Spain, 22/10/19. https://doi.org/10.1109/SNAMS.2019.8931885

An Emotional Feedback Based on Facial Action Coding System for MOOCs with Computer-Based Assessment. / Soltani, Mohamed; Zarzour, Hafed; Babahenini, Mohamed Chaouki et al.
2019 6th International Conference on Social Networks Analysis, Management and Security, SNAMS 2019. ed. / Mohammad Alsmirat; Yaser Jararweh. Institute of Electrical and Electronics Engineers Inc., 2019. p. 286-290 8931885 (2019 6th International Conference on Social Networks Analysis, Management and Security, SNAMS 2019).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - An Emotional Feedback Based on Facial Action Coding System for MOOCs with Computer-Based Assessment

AU - Soltani, Mohamed

AU - Zarzour, Hafed

AU - Babahenini, Mohamed Chaouki

AU - Hammad, Mahmoud

AU - Al-Smadi, Mohammad

AU - Jararweh, Yaser

PY - 2019/10

Y1 - 2019/10

N2 - The emotion detection and recognition philosophy aims at facilitating human adaptation and social integration. Teaching process based on this philosophy implies observing the behavior of the learner in order to detect affective responses that can influence the learning quality. Similarly, emotional feedback can regulate the learners' emotional states in the e-learning environments integrating Massive Open Online Courses (MOOCs) as open access online courses. However, the emotion inclusion in such environments is still absent, nor during the learning activity or during the assessment process. In this paper, we propose a new emotional feedback based on facial action coding system for MOOCs, which aims to make the learners aware of their emotional states via the analysis of their facial expressions using the facial action coding system during the courses as well as integrate computer based assessment for evaluating learners' emotional states, thus improving their motivation, engagement, self-regulation and learning achievement. A prototype was developed to demonstrate the importance of such solution.

AB - The emotion detection and recognition philosophy aims at facilitating human adaptation and social integration. Teaching process based on this philosophy implies observing the behavior of the learner in order to detect affective responses that can influence the learning quality. Similarly, emotional feedback can regulate the learners' emotional states in the e-learning environments integrating Massive Open Online Courses (MOOCs) as open access online courses. However, the emotion inclusion in such environments is still absent, nor during the learning activity or during the assessment process. In this paper, we propose a new emotional feedback based on facial action coding system for MOOCs, which aims to make the learners aware of their emotional states via the analysis of their facial expressions using the facial action coding system during the courses as well as integrate computer based assessment for evaluating learners' emotional states, thus improving their motivation, engagement, self-regulation and learning achievement. A prototype was developed to demonstrate the importance of such solution.

KW - CBA

KW - Emotion detection

KW - Emotional Awareness

KW - Facial Action Coding System

KW - MOOC

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M3 - Conference contribution

AN - SCOPUS:85077820180

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BT - 2019 6th International Conference on Social Networks Analysis, Management and Security, SNAMS 2019

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A2 - Jararweh, Yaser

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 6th International Conference on Social Networks Analysis, Management and Security, SNAMS 2019

Y2 - 22 October 2019 through 25 October 2019

ER -

Soltani M, Zarzour H, Babahenini MC, Hammad M, Al-Smadi M, Jararweh Y. An Emotional Feedback Based on Facial Action Coding System for MOOCs with Computer-Based Assessment. In Alsmirat M, Jararweh Y, editors, 2019 6th International Conference on Social Networks Analysis, Management and Security, SNAMS 2019. Institute of Electrical and Electronics Engineers Inc. 2019. p. 286-290. 8931885. (2019 6th International Conference on Social Networks Analysis, Management and Security, SNAMS 2019). doi: 10.1109/SNAMS.2019.8931885

An Emotional Feedback Based on Facial Action Coding System for MOOCs with Computer-Based Assessment

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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