Learning Face – A Tool to Work with Emotions and Learning Using Facial Expressions
Abstract
Nowadays is widely accepted that emotions significantly influence the learning process, but how to recognize the student's emotions, and how to relate the various types of emotions to learning, remains an open question. This article presents a tool that uses the student's emotions to improve the teaching-learning process. Students' facial expressions are automatically obtained through a facial expression recognition tool - Learning Face. Thus, it is possible to establish relationships between facial expressions, emotions, teaching methodologies and student performance.
References
Damasio And a. Descartes, Error: emotion, reason, and the human brain. New york:1994.
D. McDuff, R. El Kaliouby, T. Se nechal, M. Amr, J. F. Cohn, and R. Picard. Affectivamit facial expression dataset (AM-FED): Naturalistic and spontaneous facial expressions collected” in-the-wild”. In Computer Vision and Pattern Recognition Workshops (CVPRW), 2013 IEEE Conference on, pages 881–888. IEEE, 2013.
Dolog, Peter And Shaefer, Michael. A Framework for Browsing Manipulating and Maintaining Interoperable Learner Profiles. Proceedings of UM2005 - 10th International Conference on User Modeling, Springer Verlag, United Kingdom, 2005.
Ekman, P. And Friesen W. V. Facial Action Coding System. Palo Alto: Consulting Psychologists Press, 1978
Felder, Richard And Silverman, Linda K. Learning and Teaching Styles in Engineering Education. Engineering Education, vl. 78, n. 7, pp674-681. 1988
Izard, c. Emotion-cognition relationships and human development. In: izard, c.1984;
Lee, Catherine H M et al. What affect student cognitive style in the development of hypermedia learning system? Computer and Education, vl. 45, n.1, pp 1-19, 2005.
Mora, Francisco. NeuroEducación, Solo se puede aprender aquello que se ama. Madri, 2013.pp 65-72
Piaget, Jean. A psicologia da criança. 17ed. Rio de Janeiro: Bertrand Brasil, 1989
Picard, r. Affective computing. Cambridge: mit press, 1997. 262 p.
Vygotsky, l. The problem of the environment. In: veer, r. V.; vlasiner, j. (ed.). The vygotsky reader. Cambridge, ma: blackwell, 1994. P. 338-354
D. McDuff, R. El Kaliouby, T. Se nechal, M. Amr, J. F. Cohn, and R. Picard. Affectivamit facial expression dataset (AM-FED): Naturalistic and spontaneous facial expressions collected” in-the-wild”. In Computer Vision and Pattern Recognition Workshops (CVPRW), 2013 IEEE Conference on, pages 881–888. IEEE, 2013.
Dolog, Peter And Shaefer, Michael. A Framework for Browsing Manipulating and Maintaining Interoperable Learner Profiles. Proceedings of UM2005 - 10th International Conference on User Modeling, Springer Verlag, United Kingdom, 2005.
Ekman, P. And Friesen W. V. Facial Action Coding System. Palo Alto: Consulting Psychologists Press, 1978
Felder, Richard And Silverman, Linda K. Learning and Teaching Styles in Engineering Education. Engineering Education, vl. 78, n. 7, pp674-681. 1988
Izard, c. Emotion-cognition relationships and human development. In: izard, c.1984;
Lee, Catherine H M et al. What affect student cognitive style in the development of hypermedia learning system? Computer and Education, vl. 45, n.1, pp 1-19, 2005.
Mora, Francisco. NeuroEducación, Solo se puede aprender aquello que se ama. Madri, 2013.pp 65-72
Piaget, Jean. A psicologia da criança. 17ed. Rio de Janeiro: Bertrand Brasil, 1989
Picard, r. Affective computing. Cambridge: mit press, 1997. 262 p.
Vygotsky, l. The problem of the environment. In: veer, r. V.; vlasiner, j. (ed.). The vygotsky reader. Cambridge, ma: blackwell, 1994. P. 338-354
Published
2018-07-26
How to Cite
PAXIÚBA, Carla Marina C.; LIMA, Celson Pantoja.
Learning Face – A Tool to Work with Emotions and Learning Using Facial Expressions. In: INTEGRATED SOFTWARE AND HARDWARE SEMINAR (SEMISH), 45. , 2018, Natal.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2018
.
p. 1-11.
ISSN 2595-6205.
DOI: https://doi.org/10.5753/semish.2018.3427.
