Examining academic motivation levels of undergraduate students taking distance education during the covid-19 pandemic in terms of various variables

Abstract

The aim of this study is to investigate the academic motivation levels of undergraduate students taking distance education during the pandemic in terms of various demographic and technology-related variables. The research was designed with survey model. Data of the study were collected from 170 undergraduate students. "Academic Motivation Scale" and personal information form were used as data collection tools. The collected data were analyzed with Kendall's tau correlation test, independent sample t-test and one-way analysis of variance. According to results of the study, it was found that academic intrinsic and extrinsic motivation levels of the undergraduates taking distance education are high and their amotivation levels are low. It was determined that there were significant differences between the students' thoughts on whether to pursue postgraduate education in the future and their academic intrinsic and extrinsic motivation levels, but there was not any significant difference between amotivation dimension. Also, it was found that there were significant relationships between technology usage proficiency and intrinsic motivation of undergraduate students. Lastly, it was determined that there were significant relationships between average daily usage time of technological devices and their academic extrinsic motivation. Suggestions were offered in accordance with the results of the study.

Keywords

• Academic Motivation
• Pandemic
• Intrinsic Motivation
• Extrinsic Motivation
• Amotivation

References

1. Akbaba, S. (2006). Eğitimde motivasyon. Kazım Karabekir Üniversitesi Eğitim Fakültesi Dergisi, 13(13), 343-361.
2. Altınpulluk, H. (2021a). Türkiye’deki öğretim üyelerinin Covid-19 küresel salgın sürecindeki uzaktan eğitim uygulamalarına ilişkin görüşlerinin incelenmesi. Gazi Üniversitesi Gazi Eğitim Fakültesi Dergisi, 41(1), 53-89.
3. Altinpulluk, H. (2021b). Determining the Trends of Motivation Research in Distance Education. In H. Ucar, & A. Kumtepe (Eds.), Motivation, Volition, and Engagement in Online Distance Learning (pp. 77-99). IGI Global. https://doi.org/10.4018/978-1-7998-7681-6.ch004.
4. Artino, A.R. (2008). Motivational beliefs and perceptions of instructional quality: predicting satisfaction with online training. Journal of Computer Assisted Learning, 24(3), 260–270. https://doi.org/10.1111/j.1365-2729.2007.00258.x
5. Chen, K. C., & Jang, S. J. (2010). Motivation in online learning: Testing a model of self‐determination theory. Computers in Human Behaviour, 26(4), 741–752. https://doi.org/10.1016/j.chb.2010.01.011
6. Childers, G., & Jones, M. G. (2017). Learning from a distance: high school students’ perceptions of virtual presence, motivation, and science identity during a remote microscopy investigation. International Journal of Science Education, 39(3), 257-273. https://doi.org/10.1080/09500693.2016.1278483
7. Clark, M. H., & Schroth, C. A. (2010). Examining relationships between academic motivation and personality among college students. Learning and Individual Differences, 20(1), 19-24. https://doi.org/10.1016/j.lindif.2009.10.002
8. Cohen, J. (1988). Statistical power analysis for the behavioral sciences. (2nd Edition). Erlbaum.

9. Cohen, L., Manion, L., & Morrison, K. (2007). Research methods in education (6th Edition). Routledge.
10. Dawson, B., & Trapp, R.G. (2001). Basic and clinical biostatistics (3rd Ed.). Lange Medical Books-McGraw Hill.
11. Deci, E. L., & Ryan, R. (1985). Intrinsic motivation and self-determination in human behavior. Plenum.
12. Deci, E. L., & Ryan, R. M. (2000). The what and the why of goal pursuits: Human needs and the self-determination of behaviour. Psychological Inquiry, 11, 227-268. https://doi.org/10.1207/S15327965PLI1104_01
13. Deci, E., Vallerand, R., Pelletier, L., & Ryan, R. (1991). Motivation and education: The self-determination perspective. Educational Psychologist, 26(3 & 4), 325–346. https://doi.org/10.1080/00461520.1991.9653137
14. Direktör, C., & Nuri, C. (2017). Benlik saygısının akademik motivasyon üzerindeki etkisi: Otomatik düşüncenin aracı rolü. Yaşam Becerileri Psikoloji Dergisi, 1(1), 66-75. https://doi.org/10.31461/ybpd.316130
15. Eggen, P., & Kauchak, D. (2001). Educational psychology. (5th Edition), Merrill Prentice Hall.
16. Ergin, A., & Karataş, H. (2018). Achievement-oriented motivation levels of university students. Hacettepe University Journal of Education, 33(4), 868-887. https://doi.org/10.16986/huje.2018036646
17. Fırat, M., Kılınç, H., & Yüzer, T. V. (2018). Level of intrinsic motivation of distance education students in e‐learning environments. Journal of Computer Assisted Learning, 34(1), 63-70. https://doi.org/10.1111/jcal.12214
18. Goulimaris, D. (2015). The relation between dıstance education students' motivation and satisfaction. Turkish Online Journal of Distance Education, 16(2), 13-27. https://doi.org/10.17718/tojde.50678
19. Green, J., Nelson, G., Martin, A. J., & Marsh, H. (2006). The causal ordering of self-concept and academic motivation and its effect on academic achievement. International Education Journal, 7(4), 534-546.
20. Hartnett, M., St George, A., & Dron, J. (2011). Examining motivation in online distance learning environments: Complex, multifaceted, and situation-dependent. International Review of Research in Open and Distributed Learning, 12(6), 20-38. https://doi.org/10.19173/irrodl.v12i6.1030
21. Johnson, R., Stewart, C., & Bachman, C. (2015). What drives students to complete online courses? What drives faculty to teach online? Validating a measure of motivation orientation in university students and faculty. Interactive Learning Environments, 23(4), 528-543. https://doi.org/10.1080/10494820.2013.788037
22. Jones, A., & Issroff, K. (2005). Learning technologies: Affective and social issues in computer‐supported collaborative learning. Computers & Education, 44(4), 395–408. https://doi.org/10.1016/j.compedu.2004.04.004
23. Karasar, N. (2005). Bilimsel araştırma yöntemi (15. Baskı). Nobel Yayın Dağıtım.
24. Karataş, H., & Erden, M. (2014). Academic motivation: Gender, domain and grade differences. Procedia-Social and Behavioral Sciences, 143, 708-715. https://doi.org/10.1016/j.sbspro.2014.07.469
25. Khalid, A. A. (2014). The influence of prerequisite grades on students’ performance: Further evidence from Kuwait. The Journal of Developing Areas, 49(5), 1–9. https://doi.org/10.1353/jda.2015.0056
26. Kuvaas, B., Buch, R., Weibel, A., Dysvik, A., & Nerstad, C. G. (2017). Do intrinsic and extrinsic motivation relate differently to employee outcomes?. Journal of Economic Psychology, 61, 244-258. https://doi.org/10.1016/j.joep.2017.05.004
27. Loizzo, J., Ertmer, P. A., Watson, W. R., & Watson, S. L. (2017). Adult MOOC learners as self-directed: Perceptions of motivation, success, and completion. Online Learning, 21(2), https://doi.org/10.24059/olj.v21i2.889
28. Malinauskas, R., & Požėrienė, J. (2020). Academic motivation among traditional and online university students. European Journal of Contemporary Education, 9(3), 584-591. https://doi.org/10.13187/ejced.2020.3.584
29. Martin, A. J. (2001). The student motivation scale: A tool for measuring and enhancing motivation. Journal of Psychologists and Counselors in Schools, 11, 1-20. https://doi.org/10.1177/000494410304700107
30. Meece, J. L., & Painter, J. (2008). Gender, self-regulation, and motivation. In D. H. Schunk & B. J. Zimmerman (Eds.), Motivation and self-regulated learning: Theory, research, and applications (pp. 339–368). Erlbaum.
31. Moore, M. G. (2013). The theory of transactional distance. In Handbook of distance education (pp. 84-103). Routledge.
32. Moore, M. G., & Kearsley, G. (1996). Distance education a systems view. Wadsworth Publishing Co.
33. Muilenburg, L. Y., & Berge, Z. L. (2005). Student barriers to online learning: A factor analytic study. Distance Education, 26(1), 29-48. https://doi.org/10.1080/01587910500081269
34. Petrovica, S. (2014). Tutoring process in emotionally intelligent tutoring Systems. International Journal of Technology and Educational Marketing (IJTEM), 4(1), 72-85.
35. Prensky, M. (2001). Digital natives, digital immigrants. On the Horizon, 9(5), 1-6.
36. Ryan, R. M., & Deci, E. L. (2000a). Self-determination theory and the facilitation of intrinsic motivation, social development, and well-being. American Psychologist, 55(1), 68–78. https://doi.org/10.1037/0003-066X.55.1.68
37. Ryan, R. M., & Deci, E.L. (2000b). Intrinsic and extrinsic motivations: Classic definitions and new directions. Contemporary Educational Psychology, 25(1), 54-67. https://doi.org/10.1006/ceps.1999.1020
38. Ryan, R.M., & Deci, E.L. (2017). Self-determination theory, basic psychological needs in motivation, development, and wellness. The Guilford Press.
39. Schunk, D. H. (1995). Self-efficacy and education and instruction. In J. E. Maddux (Ed.), (pp.281-303). Plenum Press.
40. Schunk, D. H., Pintrich, P. R., & Meece, J. L. (2008). Motivation in education (3rd ed.). Upper Saddle River, NJ: Pearson Merrill Prentice Hall.
41. Sıcak, A., & Başören, M. (2015). Ortaöğretim öğrencilerinin akademik motivasyonlarının çeşitli değişkenler açısından incelenmesi (Bartın örneği). Bartın University Journal of Faculty of Education, 4(2), 548-560. https://doi.org/10.14686/buefad.v4i2.1082000239
42. Shonfeld, M., & Magen-Nagar, N. (2020). The impact of an online collaborative program on intrinsic motivation, satisfaction and attitudes towards technology. Technology, Knowledge and Learning, 25(2), 297-313. https://doi.org/10.1007/s10758-017-9347-7
43. Spittle, M., Jackson, K., & Casey, M. (2009). Applying self-determination theory to understand the motivation for becoming a physical education teacher. Teaching and Teacher Education: An International Journal of Research and Studies, 25(1), 190-197. https://doi.org/10.1016/j.tate.2008.07.005
44. Tabachnick, B. G., & Fidell, L. S. (2015). Çok değişkenli istatistiklerin kullanımı (Translator.: M. Baloğlu). Nobel Akademik Yayıncılık.
45. Telli, S. G., & Altun, D. (2020). Coronavirüs ve çevrimiçi (online) eğitimin önlenemeyen yükselişi. Üniversite Araştırmaları Dergisi, 3(1), 25-34. https://doi.org/10.32329/uad.711110
46. Trikoilis, D., & Papanastasiou, E. C. (2020). The potential of research for professional development in isolated settings during the covid-19 crisis and beyond. Journal of Technology and Teacher Education, 28(2), 295-300.
47. Turner, A. (2015). Generation Z: Technology and social interest. The Journal of Individual Psychology, 71(2), 103-113. https://doi.org/10.1353/jip.2015.0021
48. Ünal-Karagüven, M.H. (2012). Akademik motivasyon ölçeğinin türkçeye adaptasyonu. Kuram ve Uygulamada Eğitim Bilimleri, 12(4), 2599-2620.
49. Vallerand, R. J., Pelletier, L. G., Blais, M. R. Biere, N. M., Senecal, C., & Valleries, E. F. (1992). The academic motivation scale: A measure of intrinsic, extrinsic and amotivation in education. Educational Psychological Measurement, 52, 1003-1017. https://doi.org/10.1177/0013164492052004025
50. Yavuz-Eroğlu, S., Eroğlu, E., & Ekinci, V. (2019). Beden eğitimi ve spor yüksekokulu öğrencilerinin akademik motivasyon düzeylerinin bölüm ve sınıf değişkenlerine göre incelenmesi. International Sport Science Student Studies, 1(1), 1-7.
51. Yoshida, M., Tanaka, M., Mizuno, K., Ishii, A., Nozaki, K., Urakawa, A., Cho, Y., Kataoka, Y., & Watanabe, Y. (2008). Factors influencing the academic motivation of individual college students. International Journal of Neuroscience, 118 (10), 1400-1411. https://doi.org/10.1080/00207450701242982