Correlation of Learning Media Types to Online Disinhibition Effects in Online Lectures

Angga Yuni Mantara, Endang Prastuti, Gebi Angelina Zahra, Yhalza Syachna Sebastian, Tini Sarah Yosephine Naibaho

Abstract


The use of media affects how college students interact with lecturers, including the tendency of students to be more active in the learning process. The purpose of this research is to find out whether there is a relationship between the type of media and the online disinhibition effect in the online lecture process. Data were obtained from 616 respondents who filled out online questionnaires and used Kendall’s tau analysis to test the research questions. The results of the analysis showed that there was no significant relationship between the type of media and the level of online disinhibition effect (rτ equals .02, p equals .56). This is because the closeness of the interaction in the online class that occurs is able to match the interaction in the offline class and everyone in the class already knows each other, so that whatever media used is not related to the level of online disinhibition effect.

Full Text:

PDF

References


Adzharuddin, N. A., & Lee, H. L. (2013). Learning Management System (LMS) among University Students: Does It Work? International Journal of E-Education, e-Business, e-Management and e-Learning, 3(3), 248–252. https://doi.org/10.7763/IJEEEE.2013.V3.233

Clark-Gordon, C. V., Bowman, N. D., Goodboy, A. K., & Wright, A. (2019). Anonymity and Online Self-Disclosure: A Meta-Analysis. Communication Reports, 32(2), 98–111. https://doi.org/10.1080/08934215.2019.1607516

Çobanoğlu, A. A. (2018). Student Teachers’ Satisfaction for Blended Learning via Edmodo Learning Management System. Behaviour & Information Technology, 37(2), 133–144. https://doi.org/10.1080/0144929X.2017.1417481

Conradie, P., Moller, M., & Faleni, T. (2014). The Effect of Learning Management Systems’ Media Richness on 21st Century Student’s Satisfaction: A Higher Education Perspective. In R. Ørngreen & K. T. Levinsen (Eds.), Proceedings of the 13th European Conference on E-Learning—ECEL 2014, Aalborg University, Copenhagen, Denmark 30-31 October 2014 (pp. 147–155). Reading: Academic Conferences and Publishing International Limited. https://www.proquest.com/openview/bc433eea8668cc9ba0da71f2f6187c11/1?pq-origsite=gscholar&cbl=1796419

Dias, S. B., & Diniz, J. A. (2014). Towards an Enhanced Learning Management System for Blended Learning in Higher Education Incorporating Distinct Learners’ Profiles. Journal of Educational Technology & Society, 17(1), 307–319.

Diep, A.-N., Zhu, C., Struyven, K., & Blieck, Y. (2017). Who or What Contributes to Student Satisfaction in Different Blended Learning Modalities. British Journal of Educational Technology, 48(2), 473–489. https://doi.org/10.1111/bjet.12431

Eisingerich, A. B., & Rubera, G. (2010). Drivers of Brand Commitment: A Cross-National Investigation. Journal of International Marketing. https://doi.org/10.1509/jimk.18.2.64

Horvat, A., Dobrota, M., Krsmanovic, M., & Cudanov, M. (2015). Student Perception of Moodle Learning Management System: A Satisfaction and Significance Analysis. Interactive Learning Environments, 23(4), 515–527. https://doi.org/10.1080/10494820.2013.788033

Johnson, G. (2012). Real-Time Versus Delayed-Time CMC: Objective and Subjective Impact on Learning. In J. Wright (Ed.), AARE-APERA 2012—The Joint Australian Association for Research in Education and Asia-Pacific Educational Research Association Conference, 2-6 Dec 2012 (pp. 1–9). Sydney: Australian Association for Research in Education (AARE). http://hdl.handle.net/20.500.11937/23239

Joinson, A. (2001). Self-Disclosure in Computer-Mediated Communication: The Role of Self-Awareness and Visual Anonymity. European Journal of Social Psychology, 31, 177–192. https://doi.org/10.1002/ejsp.36

Kasim, N. N. M., & Khalid, F. (2016). Choosing the Right Learning Management System (LMS) for the Higher Education Institution Context: A Systematic Review. International Journal of Emerging Technologies in Learning (IJET), 11(06), 55–61. https://doi.org/10.3991/ijet.v11i06.5644

Lapidot-Lefler, N., & Barak, A. (2012). Effects of Anonymity, Invisibility, and Lack of Eye-Contact on Toxic Online Disinhibition. Computers in Human Behavior, 28(2), 434–443. https://doi.org/10.1016/j.chb.2011.10.014

Lee, H., Kim, J. W., & Hackney, R. (2008). The Determinants of the Effectiveness of Online Discussion Board Systems in eLearning: A Case Study. In M. D. Lytras, J. M. Carroll, E. Damiani, & R. D. Tennyson (Eds.), Emerging Technologies and Information Systems for the Knowledge Society (pp. 271–277). Berlin: Springer. https://doi.org/10.1007/978-3-540-87781-3_30

Lee, P. S. N., Leung, L., Lo, V., Xiong, C., & Wu, T. (2011). Internet Communication Versus Face-to-face Interaction in Quality of Life. Social Indicators Research, 100(3), 375–389. https://doi.org/10.1007/s11205-010-9618-3

Liaw, S.-S. (2008). Investigating Students’ Perceived Satisfaction, Behavioral Intention, and Effectiveness of E-learning: A Case Study of the Blackboard System. Computers & Education, 51(2), 864–873. https://doi.org/10.1016/j.compedu.2007.09.005

Liaw, S.-S., & Huang, H.-M. (2007). Developing a Collaborative e-Learning System Based on Users’ Perceptions. In W. Shen, J. Luo, Z. Lin, J.-P. A. Barthès, & Q. Hao (Eds.), Computer Supported Cooperative Work in Design III (pp. 751–759). Berlin: Springer. https://doi.org/10.1007/978-3-540-72863-4_76

Mallen, M., Day, S., & Green, M. (2003). Online Versus Face-to-Face Conversation: An Examination of Relational and Discourse Variables. Psychotherapy: Theory, Research, Practice, Training, 40, 155–163. https://doi.org/10.1037/0033-3204.40.1-2.155

Misoch, S. (2015). Stranger on the Internet: Online Self-Disclosure and the Role of Visual Anonymity. Computers in Human Behavior, 48, 535–541. https://doi.org/10.1016/j.chb.2015.02.027

Naveh, G., Tubin, D., & Pliskin, N. (2012). Student Satisfaction With Learning Management Systems: A Lens of Critical Success Factors. Technology Pedagogy and Education, 21(3), 337–350. https://doi.org/10.1080/1475939X.2012.720413

Nosko, A., Wood, E., & Molema, S. (2010). All About Me: Disclosure in Online Social Networking Profiles: The Case of FACEBOOK. Computers in Human Behavior, 26(3), 406–418. https://doi.org/10.1016/j.chb.2009.11.012

Suler, J. (2004). The Online Disinhibition Effect. Cyberpsychology & Behavior: The Impact of the Internet, Multimedia and Virtual Reality on Behavior and Society, 7(3), 321–326. https://doi.org/10.1089/1094931041291295

Tidwell, L. C., & Walther, J. B. (2002). Computer-Mediated Communication Effects on Disclosure, Impressions, and Interpersonal Evaluations: Getting to Know One Another a Bit at a Time. Human Communication Research, 28(3), 317–348. https://doi.org/10.1111/j.1468-2958.2002.tb00811.x

Walther, J. B. (2011). Theories of Computer Mediated Communication. In M. L. Knapp & J. A. Daly (Eds.), The SAGE Handbook of Interpersonal Communication (4th ed., pp. 443–479). Thousand Oaks: SAGE Publications, Inc.




DOI: http://dx.doi.org/10.17977/um023v12i12023p10-19

Refbacks

  • There are currently no refbacks.


Copyright (c) 2023 Jurnal Sains Psikologi

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.




Reference Manager : 

     

Aliansi:

     


Plagiarism Checker :

 

 

Creative Commons License


This work is licensed under a Creative Commons Attribution 4.0 International License.