Research Article
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Year 2022, Volume: 7 Issue: 1, 108 - 115, 13.01.2022
https://doi.org/10.53850/joltida.1003915

Abstract

References

  • Alemayehu, L., & Chen, H. L. (2021). The influence of motivation on learning engagement: the mediating role of learning self-efficacy and self-monitoring in online learning environments. Interactive Learning Environments, 1-14. https://doi.org/10.1080/10494820.2021.1977962
  • Alqurashi, E. (2016). Self-efficacy in online learning environments: A literature review. Contemporary Issues in Education Research, 9(1), 45-52. https://doi.org/10.19030/cier.v9i1.9549
  • Apriana, A., & Hidajat, D. (2020). Analysis of Google Classroom's online learning motivation on mathematics subjects. Journal of Mathematical Pedagogy (JoMP), 2(1), 18-25. https://doi.org/10.26740/jomp.v2n1.p%25p
  • Apriyanti, C. (2020). Distance learning and obstacles during Covid-19 outbreak. Jurnal Ilmiah Pendidikan Dasar, 7(2), 68-83. http://dx.doi.org/10.30659/pendas.7.2.68-83
  • Bandura, A. (1971). Psychological modeling: Conflicting theories. Chicago: Aldine-Atherton.
  • Bates, A. W. T. (2018). Teaching in a digital age: Guidelines for designing teaching and learning. Tony Bates Associates Ltd, Vancouver BC.
  • Cabı, E., & Ersoy, H. (2017). Analysis of distance education practices in higher education: The example of Turkey. Journal of Higher Education and Science, 7(3), 419-429. Doi: 10.5961/jhes.2017.219
  • Cai, S., & Zhu, W. (2012). The impact of an online learning community project on university Chinese as a foreign language students’ motivation. Foreign Language Annals, 45(3), 307-329. https://doi.org/10.1111/j.1944-9720.2012.01204.x
  • Chang, C. S., Liu, E, Z.-F., Sung, H. Y., Lin, C. H., Chen, N. H., & Cheng, S. S. (2014). Effects of online college student’s Internet self-efficacy on learning motivation and performance. Innovations in Education and Teaching International, 51(4), 366-377, Doi: 10.1080/14703297.2013.771429
  • Chen, K., & Jang, S. (2010). Motivation in online learning: Testing a model of self-determination theory. Computers in Human Behavior, 26(4), 741-752. https://doi.org/10.1016/j.chb.2010.01.011
  • Creswell, J. W. (2012). Educational research: Planning, conducting, and evaluating quantitative and qualitative research. Boston, MA: Pearson Education.
  • Çelen, F. K., Çelik, A., & Seferoglu, S. S. (2018). Yükseköğretimde çevrim-içi öğrenme: Sistemde yaşanan sorunlar ve çözüm önerileri. Journal of European Education, 1(1), 25-34.
  • Hartnett, M. (2016). The importance of motivation in online learning. In Motivation in online education (pp. 5-32). Springer, Singapore.
  • Hebebci, M. T., Bertiz, Y., & Alan, S. (2020). Investigation of views of students and teachers on distance education practices during the Coronavirus (COVID-19) Pandemic. International Journal of Technology in Education and Science (IJTES), 4(4), 267-282. https://doi.org/10.46328/ijtes.v4i4.113
  • Horzum, M. B., & Çakır, Ö. (2009). The validity and reliability study of the Turkish version of the online technologies self-eficacy scale. Educational Sciences: Theory & Practice, 9(3), 1327-1356.
  • İşman, A. (2011). Uzaktan eğitim [Distance education]. Ankara: Pegem.
  • Kaya, Z. (2002). Uzaktan eğitim [Distance education]. Ankara: Pegem.
  • Keller, J. M. (1987). Development and use of the ARCS model of instructional design. Journal of Instructional Development, 10(3), 2-10.
  • Lee, C.-Y. (2015). Changes in self-efficacy and task value in online learning. Distance Education, 36(1), 59-79, Doi: 10.1080/01587919.2015.1019967
  • 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. http://dx.doi.org/10.1016/j.compedu.2017.07.007
  • Miltiadou, M., & Yu, C. H. (2000). Validation of the Online Technologies Self-Efficacy Scale (OTSES). AECT International Convention, Denver CO.
  • Moore, M., & Kearsley, G. (2012). Distance education: A system view of online learning. Belmont, CA: Wadsworth Cengage Learning.
  • Murphy, P. K., & Alexander, P. A. (2000). A motivated exploration of motivation terminology. Contemporary Educational Psychology, 25(1), 3-53. https://doi.org/10.1006/ceps.1999.1019
  • Muslimin, A. I., & Harintama, F. (2020). Online learning during pandemic: Students' motivation, challenges, and alternatives. Loquen: English Studies Journal, 13(2), 60-68. Doi: http://dx.doi.org/10.32678/loquen.v13i02
  • Özbaşı, D., Cevahir, H., & Özdemir, M. (2018). Adaptation of online learning motivation scale into Turkish: Validity and reliability. Trakya University Journal of Education Faculty, 8(2), 352-368. Doi: 10.24315/trkefd.331973
  • Özer, N. (2020). Açık ve uzaktan öğrenme sistemlerindeki psikolojik danışmanlık ve rehberlik hizmetlerinin bireysel farklılıklar kapsamında incelenmesi. Açıköğretim Uygulamaları ve Araştırmaları Dergisi, 6(4), 55-80.
  • Öztürk, P., & Kert, S. B. (2017). Bir çevrimiçi öğrenme ortamının, yetişkinlerin çevrimiçi öz-yeterlik algısı ve akademik başarılarına etkisi. Acta Infologica, 1(1), 39-54.
  • Parmaksız, İ., & Gök, A. (2018). The difficulties of school counselors in implementation of counseling and guidance services. Mehmet Akif Ersoy University Journal of Education Faculty, 47, 247-265. https://doi.org/10.21764/maeuefd.359595
  • Peechapol, C., Na-Songkhla, J., Sujiva, S., & Luangsodsai, A. (2018). An exploration of factors ınfluencing self-efficacy in online learning: A systematic review. International Journal of Emerging Technologies in Learning, 13(9), 64-86. https://doi.org/10.3991/ijet.v13i09.8351
  • Sun, Y., & Rogers, R. (2021). Development and validation of the Online Learning Self-efficacy Scale (OLSS): A structural equation modeling approach. American Journal of Distance Education, 35(3), 184-199. https://doi.org/10.1080/08923647.2020.1831357
  • Susilawati, S., & Supriyatno, T. (2020). Online learning through WhatsApp group in improving learning motivation in the era and post pandemic COVID-19. Jurnal Pendidikan: Teori, Penelitian, dan Pengembangan, 5(6), 852-859.
  • Tabachnick, B. G. & Fidell, L. S. (2013). Using multivariate statistics. Pearson, Boston. Tuzgöl Dost, M., & Keklik, İ. (2012). Professional issues in counseling as perceived by individuals working in counseling settings. Mehmet Akif Ersoy University Journal of Education Faculty, 23, 389-407
  • Ulutaş, A. (2016). Examination of attitudes of preschool teacher candidates towards reading habit in terms of onlıne learning. Journal of TLCE (Turkish, Literature, Culture, Education), 5(2), 936-948. http://dx.doi.org/10.7884/teke.562
  • 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. Doi: 10.1080/01587919.2013.835779
  • Widjaja, A. E., & Chen, J. V. (2017). Online learners’ motivation in online learning: The effect of online-participation, social presence, and collaboration. Learning Technologies in Education: Issues and Trends, December, 72-93.
  • Yıldız, E. (2020). Investigation of factors affecting the sense of community of distance education learners in online learning environments. Journal of Qualitative Research in Education, 8(1), 180-205. doi:10.14689/issn.2148-2624.1.8c.1s.9m
  • Yıldız, E., & Seferoğlu, S. S. (2020). Examination of self-efficacy perception of distance education students about online technologies. Celal Bayar University Journal of Social Sciences, 18(1), 33-46. https://doi.org/10.18026/cbayarsos.514904
  • Zeren, Ş. G. (2017). Therapeutic alliance in face-to-face and online counseling: Opinions of counselor candidates. Journal of Human Sciences, 14(3), 2293-2307. doi:10.14687/jhs.v14i3.4203
  • Zimmerman, W. A., & Kulikowich, J. M. (2016). Online learning self-efficacy in students with and without online learning experience. American Journal of Distance Education, 30(3), 180-191. Doi: 10.1080/08923647.2016.1193801

The Effect of Distance Education on Self-efficacy towards Online Technologies and Motivation for Online Learning

Year 2022, Volume: 7 Issue: 1, 108 - 115, 13.01.2022
https://doi.org/10.53850/joltida.1003915

Abstract

This research aimed to investigate the effect of distance education during the COVID-19 pandemic on psychological counselor candidates’ self-efficacy perceptions towards online technologies and their motivation for online learning. Single group pretest-posttest model, a quantitative method, was used in the research. The study participants were third-year students at the Faculty of Education, Psychological Counseling and Guidance Department of a state university in the fall semester of 2020-2021. Demographic Information Form, Online Technologies Self-Efficacy Scale and Online Motivation Scale were used as data collection tools. As a result of the research, it was observed that the psychological counselor candidates’ self-efficacy for online technologies and online learning motivation scores were above the average. It was concluded that the distance education used during the COVID-19 pandemic caused a statistically significant difference in psychological counselor candidates’ self-efficacy towards online technologies, but did not cause a difference in their online learning motivation. There was no significant difference in self-efficacy according to gender and place of residence. However, while there was no significant difference in motivation according to gender, a significant difference was observed in regards to the place of residence in favor of citycenter. It is important to present psychological counselor candidates’ perceptions and motivations in regards to distance education, which is an ongoing process at the moment, for their professional development.

References

  • Alemayehu, L., & Chen, H. L. (2021). The influence of motivation on learning engagement: the mediating role of learning self-efficacy and self-monitoring in online learning environments. Interactive Learning Environments, 1-14. https://doi.org/10.1080/10494820.2021.1977962
  • Alqurashi, E. (2016). Self-efficacy in online learning environments: A literature review. Contemporary Issues in Education Research, 9(1), 45-52. https://doi.org/10.19030/cier.v9i1.9549
  • Apriana, A., & Hidajat, D. (2020). Analysis of Google Classroom's online learning motivation on mathematics subjects. Journal of Mathematical Pedagogy (JoMP), 2(1), 18-25. https://doi.org/10.26740/jomp.v2n1.p%25p
  • Apriyanti, C. (2020). Distance learning and obstacles during Covid-19 outbreak. Jurnal Ilmiah Pendidikan Dasar, 7(2), 68-83. http://dx.doi.org/10.30659/pendas.7.2.68-83
  • Bandura, A. (1971). Psychological modeling: Conflicting theories. Chicago: Aldine-Atherton.
  • Bates, A. W. T. (2018). Teaching in a digital age: Guidelines for designing teaching and learning. Tony Bates Associates Ltd, Vancouver BC.
  • Cabı, E., & Ersoy, H. (2017). Analysis of distance education practices in higher education: The example of Turkey. Journal of Higher Education and Science, 7(3), 419-429. Doi: 10.5961/jhes.2017.219
  • Cai, S., & Zhu, W. (2012). The impact of an online learning community project on university Chinese as a foreign language students’ motivation. Foreign Language Annals, 45(3), 307-329. https://doi.org/10.1111/j.1944-9720.2012.01204.x
  • Chang, C. S., Liu, E, Z.-F., Sung, H. Y., Lin, C. H., Chen, N. H., & Cheng, S. S. (2014). Effects of online college student’s Internet self-efficacy on learning motivation and performance. Innovations in Education and Teaching International, 51(4), 366-377, Doi: 10.1080/14703297.2013.771429
  • Chen, K., & Jang, S. (2010). Motivation in online learning: Testing a model of self-determination theory. Computers in Human Behavior, 26(4), 741-752. https://doi.org/10.1016/j.chb.2010.01.011
  • Creswell, J. W. (2012). Educational research: Planning, conducting, and evaluating quantitative and qualitative research. Boston, MA: Pearson Education.
  • Çelen, F. K., Çelik, A., & Seferoglu, S. S. (2018). Yükseköğretimde çevrim-içi öğrenme: Sistemde yaşanan sorunlar ve çözüm önerileri. Journal of European Education, 1(1), 25-34.
  • Hartnett, M. (2016). The importance of motivation in online learning. In Motivation in online education (pp. 5-32). Springer, Singapore.
  • Hebebci, M. T., Bertiz, Y., & Alan, S. (2020). Investigation of views of students and teachers on distance education practices during the Coronavirus (COVID-19) Pandemic. International Journal of Technology in Education and Science (IJTES), 4(4), 267-282. https://doi.org/10.46328/ijtes.v4i4.113
  • Horzum, M. B., & Çakır, Ö. (2009). The validity and reliability study of the Turkish version of the online technologies self-eficacy scale. Educational Sciences: Theory & Practice, 9(3), 1327-1356.
  • İşman, A. (2011). Uzaktan eğitim [Distance education]. Ankara: Pegem.
  • Kaya, Z. (2002). Uzaktan eğitim [Distance education]. Ankara: Pegem.
  • Keller, J. M. (1987). Development and use of the ARCS model of instructional design. Journal of Instructional Development, 10(3), 2-10.
  • Lee, C.-Y. (2015). Changes in self-efficacy and task value in online learning. Distance Education, 36(1), 59-79, Doi: 10.1080/01587919.2015.1019967
  • 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. http://dx.doi.org/10.1016/j.compedu.2017.07.007
  • Miltiadou, M., & Yu, C. H. (2000). Validation of the Online Technologies Self-Efficacy Scale (OTSES). AECT International Convention, Denver CO.
  • Moore, M., & Kearsley, G. (2012). Distance education: A system view of online learning. Belmont, CA: Wadsworth Cengage Learning.
  • Murphy, P. K., & Alexander, P. A. (2000). A motivated exploration of motivation terminology. Contemporary Educational Psychology, 25(1), 3-53. https://doi.org/10.1006/ceps.1999.1019
  • Muslimin, A. I., & Harintama, F. (2020). Online learning during pandemic: Students' motivation, challenges, and alternatives. Loquen: English Studies Journal, 13(2), 60-68. Doi: http://dx.doi.org/10.32678/loquen.v13i02
  • Özbaşı, D., Cevahir, H., & Özdemir, M. (2018). Adaptation of online learning motivation scale into Turkish: Validity and reliability. Trakya University Journal of Education Faculty, 8(2), 352-368. Doi: 10.24315/trkefd.331973
  • Özer, N. (2020). Açık ve uzaktan öğrenme sistemlerindeki psikolojik danışmanlık ve rehberlik hizmetlerinin bireysel farklılıklar kapsamında incelenmesi. Açıköğretim Uygulamaları ve Araştırmaları Dergisi, 6(4), 55-80.
  • Öztürk, P., & Kert, S. B. (2017). Bir çevrimiçi öğrenme ortamının, yetişkinlerin çevrimiçi öz-yeterlik algısı ve akademik başarılarına etkisi. Acta Infologica, 1(1), 39-54.
  • Parmaksız, İ., & Gök, A. (2018). The difficulties of school counselors in implementation of counseling and guidance services. Mehmet Akif Ersoy University Journal of Education Faculty, 47, 247-265. https://doi.org/10.21764/maeuefd.359595
  • Peechapol, C., Na-Songkhla, J., Sujiva, S., & Luangsodsai, A. (2018). An exploration of factors ınfluencing self-efficacy in online learning: A systematic review. International Journal of Emerging Technologies in Learning, 13(9), 64-86. https://doi.org/10.3991/ijet.v13i09.8351
  • Sun, Y., & Rogers, R. (2021). Development and validation of the Online Learning Self-efficacy Scale (OLSS): A structural equation modeling approach. American Journal of Distance Education, 35(3), 184-199. https://doi.org/10.1080/08923647.2020.1831357
  • Susilawati, S., & Supriyatno, T. (2020). Online learning through WhatsApp group in improving learning motivation in the era and post pandemic COVID-19. Jurnal Pendidikan: Teori, Penelitian, dan Pengembangan, 5(6), 852-859.
  • Tabachnick, B. G. & Fidell, L. S. (2013). Using multivariate statistics. Pearson, Boston. Tuzgöl Dost, M., & Keklik, İ. (2012). Professional issues in counseling as perceived by individuals working in counseling settings. Mehmet Akif Ersoy University Journal of Education Faculty, 23, 389-407
  • Ulutaş, A. (2016). Examination of attitudes of preschool teacher candidates towards reading habit in terms of onlıne learning. Journal of TLCE (Turkish, Literature, Culture, Education), 5(2), 936-948. http://dx.doi.org/10.7884/teke.562
  • 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. Doi: 10.1080/01587919.2013.835779
  • Widjaja, A. E., & Chen, J. V. (2017). Online learners’ motivation in online learning: The effect of online-participation, social presence, and collaboration. Learning Technologies in Education: Issues and Trends, December, 72-93.
  • Yıldız, E. (2020). Investigation of factors affecting the sense of community of distance education learners in online learning environments. Journal of Qualitative Research in Education, 8(1), 180-205. doi:10.14689/issn.2148-2624.1.8c.1s.9m
  • Yıldız, E., & Seferoğlu, S. S. (2020). Examination of self-efficacy perception of distance education students about online technologies. Celal Bayar University Journal of Social Sciences, 18(1), 33-46. https://doi.org/10.18026/cbayarsos.514904
  • Zeren, Ş. G. (2017). Therapeutic alliance in face-to-face and online counseling: Opinions of counselor candidates. Journal of Human Sciences, 14(3), 2293-2307. doi:10.14687/jhs.v14i3.4203
  • Zimmerman, W. A., & Kulikowich, J. M. (2016). Online learning self-efficacy in students with and without online learning experience. American Journal of Distance Education, 30(3), 180-191. Doi: 10.1080/08923647.2016.1193801
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Details

Primary Language English
Subjects Other Fields of Education
Journal Section Research Article
Authors

Gül Özüdoğru 0000-0002-5128-1258

Publication Date January 13, 2022
Submission Date October 4, 2021
Published in Issue Year 2022 Volume: 7 Issue: 1

Cite

APA Özüdoğru, G. (2022). The Effect of Distance Education on Self-efficacy towards Online Technologies and Motivation for Online Learning. Journal of Learning and Teaching in Digital Age, 7(1), 108-115. https://doi.org/10.53850/joltida.1003915

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