Skip to main content

Exploring the Relationships Between Online Learning, Motivation, Social Presence, and Learning Efficacy

  • Chapter
  • First Online:
Digital Communication and Learning

Abstract

Online learning emerges as an alternative mode for students to learn remotely in response to the shutdown of campus during COVID-19 pandemic. However, students who learned online usually had higher dropout rates and easily distracted from learning. This study aimed to examine the determinants that affect students’ learning motivation in online learning. The research question is: What are the factors affecting students’ motivation to learn in online learning? It was hypothesized that preference to online learning, social presence like engaging or interacting with peers and teachers, and learning efficacy influenced students’ learning motivation. A survey was distributed to 100 Hong Kong undergraduates. The result showed that preference to online learning had a direct, positive, and significant effect to learning motivation (β = 0.295, p < 0.001). Moreover, learning efficacy demonstrated a significant interaction effect with preference to online learning to increase learning motivation (β = 0.223, p < 0.05), while social presence demonstrated a significant interaction effect to decline learning motivation (β = −0.270, p < 0.01). The findings suggested that learning efficacy and social presence play different roles on motivation in online learning, respectively. The implications were discussed.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  • Aiken, L. S., & West, S. G. (1991). Multiple regression: Testing and interpreting interactions. Newbury Park, CA: Sage Publications.

    Google Scholar 

  • Akcaoglu, M., Rosenberg, J. M., Ranellucci, J., & Schwarz, C. V. (2018). Outcomes from a self-generated utility value intervention on fifth and sixth-grade students’ value and interest in science. International Journal of Educational Research, 87, 67–77. https://doi.org/10.1016/j.ijer.2017.12.001

    Article  Google Scholar 

  • Aldiab, A., Chowdhury, H., Kootsookos, A., & Alam, F. (2017). Prospect of eLearning in higher education sectors of Saudi Arabia: A review. Energy Procedia, 110, 574–580. https://doi.org/10.1016/j.egypro.2017.03.187

    Article  Google Scholar 

  • Alsadoon, E. (2018). The impact of social presence on learners’ satisfaction in mobile learning. Turkish Online Journal of Educational Technology, 17(1), 226–233.

    Google Scholar 

  • Ames, C. A. (1990). Motivation: What teachers need to know. Teachers College Record, 91(3), 409–421.

    Google Scholar 

  • Bandura, A. (1997). Self-efficacy the exercise of control. W. H. Freeman Company.

    Google Scholar 

  • Barba, P. G., Kennedy, G. E., & Ainley, M. D. (2016). The role of students’ motivation and participation in predicting performance in a MOOC. Journal of Computer Assisted Learning, 32(3), 218–231. https://doi.org/10.1111/jcal.12130

    Article  Google Scholar 

  • Baturay, M. H., & Yukselturk, E. (2015). The role of online education preferences on student’s achievement. Turkish Online Journal of Distance Education, 16(3). https://doi.org/10.17718/tojde.47810

  • Beardsley, M., Gutierrez, N., & Hernàndez-Leo, D. (2020). Examining university students’ motivation, abilities and preferences related to learning to learn. In 2020 IEEE 20th international conference on advanced learning technologies (ICALT), 346–348. https://doi.org/10.1109/ICALT49669.2020.00111

  • Cho, M.-H., & Kim, B. J. (2013). Students’ self-regulation for interaction with others in online learning environments. The Internet and Higher Education, 17, 69–75. https://doi.org/10.1016/j.iheduc.2012.11.001

    Article  Google Scholar 

  • Clark, R. C., & Mayer, R. E. (2011). Online learning and the science of instruction: Proven guidelines for consumers and designers of multimedia learning (3rd ed). Pfeiffer.

    Google Scholar 

  • Cull, S., Reed, D., & Lrik, K. (2010). Student motivation and engagement in online course. In Authored as part of the 2010 workshop, teaching geoscience online—a workshop for digital faculty.

    Google Scholar 

  • Demetriadis, S., & Pombortsis, A. (2007). E-Lectures for flexible learning: A study on their learning efficacy. Educational Technology & Society, 10, 147–157.

    Google Scholar 

  • Garrison, D. R., & Akyol, Z. (2013). The community of inquiry theoretical framework. In M. G. Moore (Ed.), Handbook of distance education (pp. 104–119). Routledge.

    Google Scholar 

  • Giesbers, B., Rienties, B., Tempelaar, D., & Gijselaers, W. (2013). Investigating the relations between motivation, tool use, participation, and performance in an online learning course using web-videoconferencing. Computers in Human Behavior, 29(1), 285–292. https://doi.org/10.1016/j.chb.2012.09.005

    Article  Google Scholar 

  • Hiltz, S.R. (1994). The virtual classroom: Learning without limits via computer networks. Norwood, NJ USA: Ablex Publishing Corporation.

    Google Scholar 

  • Hostetter, C. (2013). Community matters: Social presence and learning outcomes. Journal of the Scholarship of Teaching and Learning, 13(1), 10.

    Google Scholar 

  • Huang, M. L., Chou, C., Chen, C. H., & Own, Z. Y. (2010). Learner readiness for online learning: Scale development and student perceptions. Computers & Education, 97(9), 2448–2457.

    Google Scholar 

  • Johnson, R. D. (2011). Gender differences in online learning: Communication, social presence, and learning outcomes. Journal of Organization and End User Computing, 23(1), 79–94. https://doi.org/10.4018/joeuc.2011010105

  • Joo, S.-S., Jim, J.-A., Kim, N.-S., & Pyo, C.-S. (2012). Time-slot relaying based link extension for wide area monitoring networks. In 2012 7th international conference on computing and convergence technology (ICCCT), (pp. 817–820).

    Google Scholar 

  • Jose, P. E. (2008). ModGraph-I: A programme to compute cell means for the graphical display of moderational analyses: The Internet version, Version 2.0. Retrieved from http://www.victoria.ac.nz/psyc/staff/paul-joe-files/modgraph/modgraph.php.

  • Keskin, S., & Yurdugül, H. (2020). Factors affecting students’ preferences for online and blended learning: Motivational vs. cognitive. European Journal of Open, Distance and Online learning, 22(2), 72–86. https://doi.org/10.2478/eurodl-2019-0011

  • Latip, M., Noh, I., Tamrin, M., & Abdul Latip, S. N. N. (2020). Students’ acceptance for online learning and the effects of self- efficacy in Malaysia. International Journal of Academic Research in Business and Social Sciences, 10(5), 658–674. https://doi.org/10.6007/IJARBSS/v10-i5/7239

    Article  Google Scholar 

  • Lesmes-Anel, J., Robinson, G., & Moody, S. (2001). Learning preferences and learning styles: A study of Wessex general practice registrars. British Journal of General Practice, 6.

    Google Scholar 

  • Li, L.-Y., & Tsai, C.-C. (2017). Accessing online learning material: Quantitative behavior patterns and their effects on motivation and learning performance. Computers & Education, 114, 286–297. https://doi.org/10.1016/j.compedu.2017.07.007

    Article  Google Scholar 

  • Lim, C. L., Ab Jalil, H., Maa’rof, A. M., & Saad, W. Z. (2020). Self-regulated learning as a mediator in the relationship between peer learning and online learning satisfaction: A study of a private university in Malaysia. Malaysian Journal of Learning & Instruction, 17(1), 51–75.

    Article  Google Scholar 

  • Lwoga, E. T., & Komba, M. (2015). Antecedents of continued usage intentions of web-based learning management system in Tanzania. Education Training, 57(7), 738–756. https://doi.org/10.1108/ET-02-2014-0014

    Article  Google Scholar 

  • Marshman, E. M., Kalender, Z. Y., Nokes-Malach, T., Schunn, C., & Singh, C. (2018). Female students with A’s have similar physics self-efficacy as male students with C’s in introductory courses: A cause for alarm? Physical Review Physics Education Research, 14(2), 020123. https://doi.org/10.1103/PhysRevPhysEducRes.14.020123

    Article  Google Scholar 

  • Mykota, D., & Duncan, R. (2007). Learner characteristics as predictors of online social presence. Canadian Journal of Education, 30(1), 157–170.

    Article  Google Scholar 

  • Pintrich, P. R. (2003). A motivational science perspective on the role of student motivation in learning and teaching contexts. Journal of Educational Psychology, 95(4), 667–686. https://doi.org/10.1037/0022-0663.95.4.667

    Article  Google Scholar 

  • Reio, T. G., & Crim, S. J. (2013). Social presence and student satisfaction as predictors of online enrollment intent. American Journal of Distance Education, 27(2), 122–133. https://doi.org/10.1080/08923647.2013.775801

    Article  Google Scholar 

  • Richardson, J. C., & Swan, K. (2003). Examining social presence in online course in relation to students’ perceived learning and satisfaction. Journal of Asynchronous Learning Networks, 7(1), 68–88.

    Google Scholar 

  • Schunk, D. H., & Pajares, F. (2002). The development of academic self-efficacy. In A. Wigfield & J. S. Eccles (Eds.), Development of achievement motivation (pp. 15–31). Academic Press. https://doi.org/10.1016/B978-012750053-9/50003-6

  • Selim, H. M. (2007). Critical success factors for online learning acceptance: Confirmatory factor models. Computers & Education, 49(2), 396–413. https://doi.org/10.1016/j.compedu.2005.09.004

    Article  Google Scholar 

  • Short, J., Williams, E., & Christie, B. (1976). Theoretical approaches to differences between media. The social psychology of telecommunication (pp. 61–76). London, New York: Wiley.

    Google Scholar 

  • Tayebinik, M., & Puteh, M. (2012). The significance of self-esteem in computer assisted language learning (CALL) environment. Procedia Social and Behavioral Sciences, 66, 499–506. https://doi.org/10.1016/j.sbspro.2012.11.294

    Article  Google Scholar 

  • Tilfarlioglu, F. Y., & Ciftci, F. S. (2011). Supporting self-efficacy and learner autonomy in relation to academic success in EFL classrooms (a case study). Theory and Practice in Language Studies, 1(10), 1284–1294. https://doi.org/10.4304/tpls.1.10.1284-1294

  • Tu, C.-H., & McIsaac, M. (2002). The relationship of social presence and interaction in online classes. American Journal of Distance Education, 16(3), 131–150. https://doi.org/10.1207/S15389286AJDE1603_2

    Article  Google Scholar 

  • Wang, C.-H., Shannon, D. M., & Ross, M. E. (2013). Students’ characteristics, self-regulated learning, technology self-efficacy, and course outcomes in online learning. Distance Education, 34(3), 302–323. https://doi.org/10.1080/01587919.2013.835779

    Article  Google Scholar 

  • Xu, D., & Jaggars, S. S. (2013). The impact of online learning on students’ course outcomes: Evidence from a large community and technical college system. Economics of Education Review, 37, 46–57. https://doi.org/10.1016/j.econedurev.2013.08.001

    Article  Google Scholar 

  • Yang, Z. H., & Cai, Q. H. (1999). Using ARCS motivational model to promote technical and vocation college students’ motivation to learn and achievement: A Quasi-Experimental Design (Unpublished Master’s thesis). National Sun Yat-sen University.

    Google Scholar 

  • Yurdugül, H., & Demir, Ö. (2017). An investigation of pre-service teachers' readiness for E-learning at undergraduate level teacher training programs: The case of Hacettepe University. Hacettepe University Journal of Education, 32(4), 896–915. 

    Google Scholar 

  • Zimmerman, B. J. (2000). Self-efficacy: An essential motive to learn. Contemporary Educational Psychology, 25(1), 82–91. https://doi.org/10.1006/ceps.1999.1016

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Law, S.CY., Chui, R.CF., Siu, N.YF., Ching, C.H. (2022). Exploring the Relationships Between Online Learning, Motivation, Social Presence, and Learning Efficacy. In: Tso, A.W.B., Chan, A.Ck., Chan, W.W.L., Sidorko, P.E., Ma, W.W.K. (eds) Digital Communication and Learning. Educational Communications and Technology Yearbook. Springer, Singapore. https://doi.org/10.1007/978-981-16-8329-9_13

Download citation

  • DOI: https://doi.org/10.1007/978-981-16-8329-9_13

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-16-8328-2

  • Online ISBN: 978-981-16-8329-9

  • eBook Packages: EducationEducation (R0)

Publish with us

Policies and ethics