Research Article
BibTex RIS Cite
Year 2022, Volume: 23 Issue: 2, 97 - 106, 30.03.2022
https://doi.org/10.17718/tojde.1096250

Abstract

References

  • Albayrak, E., Gungoren, O. C., &Horzum, M. B. (2014). Algilanan ogrenme olceginin Turkceye uyarlamasi. Ondokuzmayis universitesi egitimfakultesi dergisi, 33(1), 1-14. Retrieved from https://dergipark.org.tr/tr/download/article-file/188028
  • Ali, G. E., &Magalhaes, R. (2008). Barriers to implementing e‐learning: a Kuwaiti case study. International journal of training and development, 12(1), 36-53. doi:10.1111/j.1468-2419.2007.00294.x
  • Allen, I. E., Seaman, J., Poulin, R., &Straut, T. T. (2016). Online report card: Tracking online education in the United States. Retrieved from http://www.onlinelearningsurvey.com/reports/changingcourse.pdf on 03.01.2017.
  • Astleitner, H., & Steinberg, R. (2005). Are there gender differences in web-based learning? An integrated model and related effect sizes. AACE Journal, 13(1), 47-63. Retrieved from https://www.learntechlib.org/primary/p/18902/.
  • Bennett, J. F., & Bennett, L. B. (2002). Assessing the quality of distance education programs: The faculty’s perspective. Journal of Computing in Higher Education, 13(2), 71-86. Retrieved from https://link.springer.com/article/10.1007/BF02940966
  • Blume, L. B., &Zembar, M. J. (2011). Gender and Academic Achievement.
  • Broadbent, B. (2002). ABCs of e-Learning: reaping the benefits and avoiding the pitfalls. San Francisco: ASTD, USA.
  • Brophy, J. (2010). Motivating students to learn. New York, NY: Routledge.
  • Cai, Z., Fan, X., & Du, J. (2017). Gender and attitudes toward technology use: A meta-analysis. Computers & Education, 105, 1-13. Doi: 10.1016/j.compedu.2016.11.003
  • Caspi, A., Chajut, E., &Saporta, K. (2008). Participation in class and in online discussions: Gender differences. Computers & Education, 50(3), 718-724. Doi: 10.1016/j.compedu.2006.08.003
  • Cho, S. K., & Berge, Z. L. (2002). Overcoming barriers to distance training and education. USDLA Journal, 16(1), 16-34. Retrieved from https://www.learntechlib.org/p/93565/
  • DemirKaymak, Z., &Horzum, M. B. (2013). Relationship between online learning readiness and structure and interaction of online learning students. Educational Sciences: Theory and Practice, 13(3), 1792-1797. Doi: 10.12738/estp.2013.3.1580
  • Fraenkel, J. R., Wallen, N. E., & Hyun, H. H. (2012). How to design and evaluate research in education.
  • Hill, J. R. (2002). Overcoming obstacles and creating connections: Community building in web-based learning environments. Journal of Computing in Higher Education, 14(1), 67. Retrieved fromhttps://link.springer.com/article/10.1007/BF02940951
  • Hillesheim, G. (1998). Distance learning: Barriers and strategies for students and faculty. The Internet and Higher Education, 1(1), 31-44. Doi: 10.1016/S1096-7516(99)80182-1
  • Hofmann, D. W. (2002). Internet-based distance learning in higher education. Tech Directions, 62(1), 28.
  • Holmes, B. & Gardner, J. (2006). e-Learning: Concepts and Practice. London: SAGE Publications.
  • Horton, W. (2000). Designing Web Based Training. New York: John Wiley & Sons.
  • Horzum, M. B. (2007). Internet tabanliegitimdeetkilesimseluzakliginogrencibasarisi, doyumuveoz-yeterlikalgisinaetkisi. Unpublished doctoral dissertation. Ankara University Institute of Educational Science, Ankara.
  • Horzum, M. B., Kaymak, Z. D., &Gungoren, O. C. (2015). Structural Equation Modeling towards Online Learning Readiness, Academic Motivations, and Perceived Learning. Educational Sciences: Theory and Practice, 15(3), 759-770. Doi: 10.12738/estp.2015.3.2410
  • Horzum, M. B., Kaymak, Z. D., &Gungoren, O. C. (2017). Cevrimiciogrenmedeogrenciengelleriolcegi’ninTurkce’yeuyarlanmasi: gecerlikveguvenirlikcalismasi. AcikogretimUygulamalariveArastirmalariDergisi, 3(2), 61-84. Retrieved from https://dergipark.org.tr/tr/pub/auad/issue/34117/378443
  • Hudley, C., & Gottfried, A. E. (2008). Academic motivation and the culture of schooling. New York, NY: Oxford Press.

STUDENT BARRIERS TO ONLINE LEARNING AS PREDICTORS OF PERCEIVED LEARNING AND ACADEMIC ACHIEVEMENT

Year 2022, Volume: 23 Issue: 2, 97 - 106, 30.03.2022
https://doi.org/10.17718/tojde.1096250

Abstract

This research investigates the effects of online learning barriers on students’ perceived learning and academic achievement. In this study, the barriers identified by Muilenburg and Berge in 2005 were used as online learning barriers. These are (1) administrative issues, (2) social interaction, (3) academic skills, (4) technical skills, (5) learner motivation, (6) time and support for studies, (7) cost and access to the Internet, and (8) technical problems. In addition to online learning barriers, gender and job status are other variables of the study. The research was conducted with 622 online learning students and designed on a quantitative cross-sectional survey model. The analysis results show that gender and job status affect both academic achievement and perceived learning. In terms of students’ online learning barriers, academic skills and learning motivation are predictors of academic achievement. In addition, academic skills and time and support for studies are predictors of perceived learning.

References

  • Albayrak, E., Gungoren, O. C., &Horzum, M. B. (2014). Algilanan ogrenme olceginin Turkceye uyarlamasi. Ondokuzmayis universitesi egitimfakultesi dergisi, 33(1), 1-14. Retrieved from https://dergipark.org.tr/tr/download/article-file/188028
  • Ali, G. E., &Magalhaes, R. (2008). Barriers to implementing e‐learning: a Kuwaiti case study. International journal of training and development, 12(1), 36-53. doi:10.1111/j.1468-2419.2007.00294.x
  • Allen, I. E., Seaman, J., Poulin, R., &Straut, T. T. (2016). Online report card: Tracking online education in the United States. Retrieved from http://www.onlinelearningsurvey.com/reports/changingcourse.pdf on 03.01.2017.
  • Astleitner, H., & Steinberg, R. (2005). Are there gender differences in web-based learning? An integrated model and related effect sizes. AACE Journal, 13(1), 47-63. Retrieved from https://www.learntechlib.org/primary/p/18902/.
  • Bennett, J. F., & Bennett, L. B. (2002). Assessing the quality of distance education programs: The faculty’s perspective. Journal of Computing in Higher Education, 13(2), 71-86. Retrieved from https://link.springer.com/article/10.1007/BF02940966
  • Blume, L. B., &Zembar, M. J. (2011). Gender and Academic Achievement.
  • Broadbent, B. (2002). ABCs of e-Learning: reaping the benefits and avoiding the pitfalls. San Francisco: ASTD, USA.
  • Brophy, J. (2010). Motivating students to learn. New York, NY: Routledge.
  • Cai, Z., Fan, X., & Du, J. (2017). Gender and attitudes toward technology use: A meta-analysis. Computers & Education, 105, 1-13. Doi: 10.1016/j.compedu.2016.11.003
  • Caspi, A., Chajut, E., &Saporta, K. (2008). Participation in class and in online discussions: Gender differences. Computers & Education, 50(3), 718-724. Doi: 10.1016/j.compedu.2006.08.003
  • Cho, S. K., & Berge, Z. L. (2002). Overcoming barriers to distance training and education. USDLA Journal, 16(1), 16-34. Retrieved from https://www.learntechlib.org/p/93565/
  • DemirKaymak, Z., &Horzum, M. B. (2013). Relationship between online learning readiness and structure and interaction of online learning students. Educational Sciences: Theory and Practice, 13(3), 1792-1797. Doi: 10.12738/estp.2013.3.1580
  • Fraenkel, J. R., Wallen, N. E., & Hyun, H. H. (2012). How to design and evaluate research in education.
  • Hill, J. R. (2002). Overcoming obstacles and creating connections: Community building in web-based learning environments. Journal of Computing in Higher Education, 14(1), 67. Retrieved fromhttps://link.springer.com/article/10.1007/BF02940951
  • Hillesheim, G. (1998). Distance learning: Barriers and strategies for students and faculty. The Internet and Higher Education, 1(1), 31-44. Doi: 10.1016/S1096-7516(99)80182-1
  • Hofmann, D. W. (2002). Internet-based distance learning in higher education. Tech Directions, 62(1), 28.
  • Holmes, B. & Gardner, J. (2006). e-Learning: Concepts and Practice. London: SAGE Publications.
  • Horton, W. (2000). Designing Web Based Training. New York: John Wiley & Sons.
  • Horzum, M. B. (2007). Internet tabanliegitimdeetkilesimseluzakliginogrencibasarisi, doyumuveoz-yeterlikalgisinaetkisi. Unpublished doctoral dissertation. Ankara University Institute of Educational Science, Ankara.
  • Horzum, M. B., Kaymak, Z. D., &Gungoren, O. C. (2015). Structural Equation Modeling towards Online Learning Readiness, Academic Motivations, and Perceived Learning. Educational Sciences: Theory and Practice, 15(3), 759-770. Doi: 10.12738/estp.2015.3.2410
  • Horzum, M. B., Kaymak, Z. D., &Gungoren, O. C. (2017). Cevrimiciogrenmedeogrenciengelleriolcegi’ninTurkce’yeuyarlanmasi: gecerlikveguvenirlikcalismasi. AcikogretimUygulamalariveArastirmalariDergisi, 3(2), 61-84. Retrieved from https://dergipark.org.tr/tr/pub/auad/issue/34117/378443
  • Hudley, C., & Gottfried, A. E. (2008). Academic motivation and the culture of schooling. New York, NY: Oxford Press.
There are 22 citations in total.

Details

Primary Language English
Journal Section Articles
Authors

Zeliha Demır Kaymak This is me

Mehmet Baris Horzum This is me

Publication Date March 30, 2022
Submission Date February 14, 2021
Published in Issue Year 2022 Volume: 23 Issue: 2

Cite

APA Demır Kaymak, Z., & Horzum, M. B. (2022). STUDENT BARRIERS TO ONLINE LEARNING AS PREDICTORS OF PERCEIVED LEARNING AND ACADEMIC ACHIEVEMENT. Turkish Online Journal of Distance Education, 23(2), 97-106. https://doi.org/10.17718/tojde.1096250