nach oben

Erschienen in:

2017 | OriginalPaper | Buchkapitel

An Affective Computing and Fuzzy Logic Framework to Recognize Affect for Cloud-based E-Learning Environment Using Emoticons

verfasst von : Kyle Morton, Yanzhen Qu, Marilyn Carroll

Erschienen in: Cloud Computing and Security

Verlag: Springer International Publishing

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config

KI-gestützte Suche

Aus

Abstract

The deficiency in the ability for instructors in the Cloud based E-Learning environments to accurately determine a student’s affective status has resulted in the inability to provide effective feedback to student. Feedback is important in learning as it allows a student to learn from their mistakes and helps build their academic confidence. In this paper, we have proposed an affective based E-Learning framework that uses fuzzy logic and emoticons to determine a student’s affective status in a Cloud-based E-Learning Environment. This framework uses three emotions represented using emoticons, which are “excited”, “tired”, and “sad” to accurately detect a student’s emotion during their learning process.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 390 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Maschinenbau + Werkstoffe

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 340 Zeitschriften

aus folgenden Fachgebieten:

Bauwesen + Immobilien
Business IT + Informatik
Finance + Banking
Management + Führung
Marketing + Vertrieb
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Vorheriges Kapitel Design and Test of the Intelligent Rubber Tapping Technology Evaluation Equipment Based on Cloud Model

Nächstes Kapitel Cloud Management Systems and Virtual Desktop Infrastructure Load Balancing Algorithms - A Survey

Morton, K., Qu, Y.: A feedback effectiveness oriented math word problem E-Tutor for E-Learning environment. In: 2015 IEEE 15th International Conference on Advanced Learning Technologies, pp. 301–302 (2015)

Dunlosky, J., Rawson, K.A., Marsh, E.J., Nathan, M.J., Willingham, D.T.: Improving students’ learning with effective learning techniques: promising directions from cognitive and educational psychology. Psychol. Sci. Public Interest (PSPI) 14, 4–48 (2013)CrossRef

Rosenfield, S., Lou, Y., Dedic, H.: A feedback model and successful E-Learning. In: E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education, vol. 2002, pp. 1818–1821 (2002)

Park, J., Barash, V., Fink, C., Cha, M.: Emoticon style: interpreting differences in emoticons across cultures. In: ICWSM (2013)

Ortigosa, A., Martín, J.M., Carro, R.M.: Sentiment analysis in Facebook and its application to E-Learning. Comput. Hum. Behav. 31, 527–541 (2014)CrossRef

Swan, K.: Social presence and E-Learning. In: IADIS Virtual Multi Conference on Computer Science and Information Systems (MMCIS) (2005)

Shen, L., Wang, M., Shen, R.: Affective E-Learning: using ‘Emotional’ data to improve learning in pervasive learning environment. Educ. Technol. Soc. 12, 176–189 (2009)

Attis, J.: An investigation of the variables that predict teacher E-Learning acceptance. In: Doctor of Education, Liberty University (2014)

Chen, G.-S., Lee, M.-F.: Detecting emotion model in E-Learning system. In: 2012 International Conference Machine Learning and Cybernetics (ICMLC), pp. 1686–1691 (2012)

10.

Falloon, G.: Using avatars and virtual environments in learning: what do they have to offer? Br. J. Educ. Technol. 41, 108–122 (2010)CrossRef

11.

Stark, L., Crawford, K.: The conservatism of emoji: work, affect, and communication. Soc. Media+Soc. 2015, 1–11 (2015)

12.

Meyer, A.K., Jones, J.S.: Do students experience “social intelligence,” laughter, and other emotions online? J. Asynchronous Learn. Netw. 16, 99–111 (2012)

13.

Dunlap, J.C., Lowenthal, P.R.: The power of presence: our quest for the right mix of social presence in online courses. In: Life, R. (ed.) Distance Education: Case Studies in Practice. Information Age Publishing, Charlotte (2014)

14.

Vogt, T., André, E., Bee, N.: EmoVoice—A framework for online recognition of emotions from voice. In: International Tutorial and Research Workshop on Perception and Interactive Technologies for Speech-Based Systems, pp. 188–199 (2008)

15.

Huang, A.H., Yen, D.C., Zhang, X.: Exploring the potential effects of emoticons. Inf. Manag. 45, 466–473 (2008)CrossRef

Titel: An Affective Computing and Fuzzy Logic Framework to Recognize Affect for Cloud-based E-Learning Environment Using Emoticons
verfasst von: Kyle Morton
Yanzhen Qu
Marilyn Carroll
Verlag: Springer International Publishing
Buch: Cloud Computing and Security
Print ISBN: 978-3-319-68504-5

Electronic ISBN: 978-3-319-68505-2

Copyright-Jahr: 2017
DOI: https://doi.org/10.1007/978-3-319-68505-2_25

Springer Professional

Abstract

Bitte loggen Sie sich ein, um Zugang zu Ihrer Lizenz zu erhalten.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Springer Professional "Technik"

Springer Professional "Wirtschaft"

Premium Partner