The use of facial expressions as a nonverbal communication element in the 21st century online learning video environments PROCEEDING
Irem Aydin Menderis, Mehmet Kesim, Anadolu University, Turkey
EdMedia + Innovate Learning, in Amsterdam, Netherlands Publisher: Association for the Advancement of Computing in Education (AACE), Waynesville, NC
The scope of this research is to examine whether the facial expressions of the subject narrator in videos affect learner motivation. The goal of this study is to find out which emotional state of the narrator increases learner motivation.
In this context, data will be collected from an average of 100 learners, who are referred to as quality delegates in the open education system and who do not hesitate to express their opinions to contribute to the development of the open and distance learning system, receiving the “Media and Communication” course delivered via video on the e-campus platform of the Open Education Faculty.
According to the media richness theory, one of the theoretical bases of the study, learning is more effective if there are richer media sources for communication. In this study, nonverbal communication elements are also considered as a factor enriching the communication media.
Aydin Menderis, I. & Kesim, M. (2018). The use of facial expressions as a nonverbal communication element in the 21st century online learning video environments. In T. Bastiaens, J. Van Braak, M. Brown, L. Cantoni, M. Castro, R. Christensen, G. Davidson-Shivers, K. DePryck, M. Ebner, M. Fominykh, C. Fulford, S. Hatzipanagos, G. Knezek, K. Kreijns, G. Marks, E. Sointu, E. Korsgaard Sorensen, J. Viteli, J. Voogt, P. Weber, E. Weippl & O. Zawacki-Richter (Eds.), Proceedings of EdMedia: World Conference on Educational Media and Technology (pp. 2062-2067). Amsterdam, Netherlands: Association for the Advancement of Computing in Education (AACE). Retrieved November 16, 2018 from https://www.learntechlib.org/primary/p/184448/.
© 2018 Association for the Advancement of Computing in Education (AACE)
- Carlson, J.R., & Zmud, R.W. (1999). Channel expansion theory and the experiential nature of media richness perceptions. Academy of management journal, 153-170.
- Daft, R., & Lengel, R. (1984). Information richness: A new approach to managerial behavior and organization design. B.M. Staw & L.L. Cummings (Ed.), Research in organizational behavioŗ i çinde, vol. 6: 191-233.
- Daft, R., Lengel, R., & Trevino, L. (1987). Message equivocality, media selection, and manager performance: Implications for information systems. MIS Quarterly, 17: 355-366.
- Jain LC. (1999) Intelligent biometric techniques in fingerprint and face recognition. NJ: CRC Press.
- Lai, J.Y., & Chang, C.Y. (2011). User attitudes toward dedicated e-book readers for reading: The effects of con-venience, compatibility and media richness. Online Information Review, 35(4), 558-580.
- Mohamed Sathik M, Sofia G. (2011) Identification of student comprehension using forehead wrinkles. Pp. 66–
- 70.Mohammed Sathik, M, Sofia G. (2013) Effect of facial expressions on student’s comprehension recognition in virtual educational environments, Springerplus. 2013; 2: 455.
- Mutlu, E. (2004). I letiss im Sözlügü. Ankara: Bilim ve Sanat Yayınları
- 2004.Russell G, Holkner B. (2000) Virtual schools, in futures, volume 32. Issues.9–10:887–897.
- Suh, K.S. (1999). Impact of communication medium on task performance and satisfaction: an examination of media-richness theory. Information& Management, 35(5), 295-312.
- Toby D, Ivon A, Beverly P, Woolf P, Winslow B. (2008) Viewing student affect and learning through classroom observation and physical sensors, proceeding of the 9th International conferences on Intelligent Tutoring Sys-tems. Berlin: Springer; pp. 29–39.
These references have been extracted automatically and may have some errors. If you see a mistake in the references above, please contact email@example.com.