Araştırma Makalesi
BibTex RIS Kaynak Göster
Yıl 2021, Cilt: 8 Sayı: Özel Sayı, 21 - 31, 29.09.2021

Öz

Kaynakça

  • Adnan, M. & Anwar, K. (2020). Online learning amid the COVID-19 pandemic: Students ’perspectives. Journal of Pedagogical Sociology and Psychology, 2(1), 45-51. https://doi.org/10.33902/jpsp.2020261309
  • Allison, P. D. (2001). Logistic regression using the SAS system: Theory and Application. SAS Institute Inc.
  • Aujeco, E. M., French, J. F., Ugalde Araya, M. P. & Zafar, B. (2020). The impact of Covid-19 on student experiences and expectations: Evidence from a survey. Retrieved February 7, 2021, from https://doi.org/10.3386/w27392
  • Bolliger, D. U., & Inan, F. A. (2012). Development and validation of the Online Student Connectedness Survey (OSCS). The International Review of Research in Open and Distributed Learning, 13(3), 41-65.
  • Bozkurt, A. & Sharma, R. C. (2020). Emergency remote teaching in a time of global crisis due to Corona Virus pandemic. Asian Journal of Distance Education, 15(1), I-VI. https://doi.org/10.5281/zenodo.3778083
  • Brownlee, M. I. (2020). Online student engagement: Bridging gaps in the midst of COVID-19. Retrieved January 01, 2021, from https://www.naspa.org/blog/online-student-engagement-bridging-gaps-in-the-midst-of-covid-19
  • Büyüköztürk, Ş., Kılıç-Çakmak E., Akgün, Ö. E., Karadeniz, Ş. ve Demirel, F. (2008). Bilimsel araştirma yöntemleri (2. baskı). Pegem.
  • Chung, E., Subramaniam, G. & Christ Dass, L. (2020). Online learning readiness among university students in Malaysia Amidst Covid-19. Asian Journal of University Education, 16(2), 45-58. https://doi.org/10.24191/ajue.v16i2.10294
  • Chyung, S. Y. (2007). Age and gender differences in online behavior, self-efficacy, and academic performance. Quarterly Review of Distance Education, 8(3), 213-222. https://doi.org/10.2190/ET.41.3.e
  • Cronhjort, M., Filipsson, L. & Weurlander, M. (2018). Improved engagement and learning in flipped-classroom calculus. Teaching Mathematics and Its Applications, 37, 113-121. https://doi.org/10.1093/teamat/hrx007
  • Di Pietro, G., Biagi, F., Costa, P., Karpinski, Z. & Mazza, J. (2020). The likely impact of COVID-19 on education: Reflections based on the existing literature and recent international datasets, EUR 30275 EN, Publications Office of the European Union, Luxembourg. https://doi.org/10.2760/126686
  • Dikbaş Torun, E. (2020). Online distance learning in higher education: E-learning readiness as a predictor of academic achievement. International Council For Open And Distance Education, 12(2), 191-208. https://doi.org/10.5944/openpraxis.12.2.1092
  • Ergün, E. & Koçak Usluel, Y. (2015). Çevrimiçi öğrenme ortamlarında öğrenci bağlılık ölçeği’nin türkçeye uyarlaması: Geçerlik ve güvenirlik çalışması. Eğitim Teknolojisi Kuram ve Uygulama, 5(1), 20-33. https://doi.org/10.17943/etku.64661
  • Fleming, N. (2021). After Covid, will digital learning be the new normal? Retrieved January 26, 2021, from https://www.theguardian.com/education/2021/jan/23/after-covid-will-digital-learning-be-the-new-normal
  • Gaumer Erickson, A. S. & Noonan, P. M. (2010). Late-career adults in online education: A rewarding experience for indivudals aged 50 to 65. Merlot Journal of Online Learning and Teaching, 6(2), 388-397. https://jolt.merlot.org/vol6no2/erickson_0610.pdf
  • Girik Allo, M. D. (2020). Is the online learning good in the midst of Covid-19 Pandemic? The case of EFL learners. Journal Sinestesia, 10(1), 1-10. https://www.researchgate.net/profile/Markus-Girik-Allo/publication/340815846_Is_the_online_learning_good_in_the_midst_of_Covid-19_Pandemic_The_case_of_EFL_learners/links/5e9f02f1a6fdcca7892c962b/Is-the-online-learning-good-in-the-midst-of-Covid-19-Pandemic-The-case-of-EFL-learners.pdf
  • Gunn, C.,(2003). Dominant or different? Gender issues in computer supported learning. Journal of Asynchronous Learning Networks, 7(1), 13-30. http://dx.doi.org/10.24059/olj.v7i1.1860
  • Horzum, M. B., Demir Kaymak, Z. & Güngören, Ö. C. (2015). Structural equation modeling towards online learning readiness, academic motivations, and perceived learning. Educational Sciences: Theory & Practice, 15(3), 759-770. https://doi.org/10.12738/estp.2015.3.2410
  • Hung, M., Chou, C., Chen, C. Own, Z. (2010). Learner readiness for online learning: Scale development and student perceptions. Computers & Education, 55, 1080–1090. https://doi.org/10.1016/j.compedu.2010.05.004
  • Junco, R. (2011). The relationship between frequency of Facebook use, participation in Facebook activities, and student engagement. Computers & Education, 58, 162-171. https://doi.org/10.1016/j.compedu.2011.08.004
  • Kayaoğlu, M. N. & Dağ Akbaş, R. (2016). Online learning readiness: A case study in the field of english for medical purposes. Participatory Educational Research (PER), Vol:4, 212-220. https://dergipark.org.tr/en/download/article-file/778456
  • Li, C. & Lalani, F. (2020). The COVID-19 pandemic has changed education forever. This is how. Retrieved January, 26, 2021 from https://www.weforum.org/agenda/2020/04/coronavirus-education-global-covid19-online-digital-learning/
  • Margolis, J. & Fisher, A. (2002). Unlocking the clubhouse: Women in computing. (Cambridge: MIT Press).
  • Mohalik, R. & Suparna Sahoo, S. (2020). E-readiness and perception of student teachers’ towards online learning in the midst of Covid-19 Pandemic. SSRN Electronic Journal. Available at SSRN:https://ssrn.com/abstract=3666914 or http://dx.doi.org/10.2139/ssrn.366914
  • Nguyen, T. (2015). The Effectiveness of online learning: Beyond no significant difference and future horizons. Merlot Journal of Online Learning and Teaching, 11(2), 309-319. https://jolt.merlot.org/Vol11no2/Nguyen_0615.pdf
  • Radha, R., Mahalakshmi, K., Sathish Kumar, V., & Saravanakumar, A. R. (2020). E-Learning during lockdown of Covid-19 Pandemic: A Global Perspective. International Journal of Control and Automation, 13(4), 1088-1099. Retrieved February, 7, 2021 from http://sersc.org/journals/index.php/IJCA/article/view/26035
  • Rivera, M. (2016). Can socioeconomic status impact online learning? Retrieved February 7, 2021, from https://elearningindustry.com/socioeconomic-status-impact-online-learning
  • Sadera, W. A., Robertson, J., Song, L. & Midon, M. N. (2009). The role of community in online learning success. Merlot Journal of Online Learning and Teaching, 5(2), 277-284. https://jolt.merlot.org/vol5no2/sadera_0609.pdf
  • Salamat, L., Ahmad, G., Bakht, M. I. & Saifi, I. L. (2018). Effects of e-learning on students’ academic learning at university level. Asian Innovative Journal of Social Sciences & Humanities, 2(2), 1-12.
  • Singh, S., Rylander, D. H. & Mims, T. C. (2012). Efficiency of online vs. offline learning: A comparison of inputs and outcomes. International Journal of Business, Humanities and Technology, 2(1), 93-98. http://ijbhtnet.com/journals/Vol_2_No_1_January_2012/12.pdf
  • Tabachnick, B. G., Fidell, L. S. (1996). Using multivariate statistics (3rd ed.). New York, USA: HarperCollins College Publishers
  • Topal, M. (2020). Oyunlaştırma ile zenginleştirilmiş çevrimiçi öğrenmenin başarı, çevrimiçi bağlılık ve öğrenme motivasyonu üzerindeki etkisi [Yayımlanmamış doktora tezi]. Sakarya Üniversitesi, Sakarya. https://doi.org/10.14527/9786257052016.10
  • Tsay, C. H., Kofinas, A. & Luo, J. (2018). Enhancing student learning experiences with technology-mediated gamification: An empirical study. Computers & Education, 121, 1-17. https://doi.org/10.1016/j.compedu.2018.01.009
  • Tuntirojanawong, S. (2013). Studens ’ readiness for e-learning: A case study of Sukhothai Thammathirat Open University, Thailand. Journal of Learning in Higher Education, 9(1), 59-66.
  • UNICEF. (2020a). Education and COVID-19. Retrieved January, 25, 2021 from https://data.unicef.org/topic/education/covid-19/
  • UNICEF. (2020b). COVID-19: Socio-Economic Impact in Ghana. Retrieved February, 7, 2021 from https://www.unicef.org/ghana/media/3071/file/COVID-19:%20Socio-conomic%20Impact%20in%20Ghana.pdf
  • Wagner, S. C., Garippo, S. J. & Lovaas, P. (2011). A Longitudinal comparison of online versus traditional instruction. Merlot Journal of Online Learning and Teaching, 7(1), 68-73. https://jolt.merlot.org/vol7no1/wagner_0311.pdf
  • Walker, S. L. & Fraser, B. J. (2005). Development and validation of an instrument for assessing distance education learning environments in higher education: The distance learning environments survey (DELES). Learning Environments Research, 8(3), 289-308. https://doi.org/10.1007/s10984-005-1568-3
  • Wang, Q., Zhu, Z., Chen, L. & Yan, H. (2009). E-learning in China. Campus-Wide Information Systems, 26, 47-61. https://doi.org/10.1108/10650740910946783
  • WHO. (2020). Coronavirus disease 2019 (COVID-19) Situation Report-94. Retrieved January, 25, 2021 from https://www.who.int/docs/default-source/coronaviruse/situation-reports/20200423-sitrep-94-covid-19.pdf
  • Wilson, D. & Allen, D. (2011). Success rates of online versus traditional college students. Research in Higher Education Journal, Vol:22, 55-62. https://files.eric.ed.gov/fulltext/EJ1068796.pdf
  • Yurdugül, H. & Sırakaya, D. A. (2013). Çevrimiçi öğrenme hazır bulunuşluluk ölçeği: geçerlik ve güvenirlik çalışması the scale of online learning readiness: A study of validity and reliability. Education and Science, 38(169), 391-406. http://egitimvebilim.ted.org.tr/index.php/EB/article/view/2420
  • Zareie, B. & Navimipour, N. J. (2016). The effect of electronic learning systems on the employee’s commitment. The International Journal of Management Education, 14(2), 167-175. https://doi.org/10.1016/j.ijme.2016.04.003

Logistic Regression Approach in Classifying the Effectiveness of Online Education

Yıl 2021, Cilt: 8 Sayı: Özel Sayı, 21 - 31, 29.09.2021

Öz

The developments and changes that have accompanied the Covid 19 pandemic have affected the educational world and all sectors. Educational institutions around the world have implemented emergency and online educational practises to ensure continuity of education as opposed to the planned distance education activities that were implemented for continuity of education. Due to the Covid 19 pandemic, face-to-face classes have been held in universities across the world for about a year in many disciplines through various platforms. In this process, determining the effectiveness of distance education practises in universities for students is critical for programmes to achieve their goals. This study aims to highlight the variables and effects that influence university students' decisions regarding the efficiency of online instruction. To this end, 821 university students were surveyed. Their willingness and attachment to online education, socioeconomic level, and gender were tested using logit regression analysis to build a model that predicts university students' decision about the efficiency of online education. Age, gender, high school graduation, willingness to Online Education, and attachment to Online Education are among the variables in the logit regression model that significantly predict university students' decision about whether they consider online education to be efficient or not. When analysing the result of classifying students whether they consider online education efficient or not using the logit regression model, 291 of the 409 students in the group who consider education efficient were classified correctly and 118 of them were classified inaccurately, with the rate of correct classification being 71.1%.

Kaynakça

  • Adnan, M. & Anwar, K. (2020). Online learning amid the COVID-19 pandemic: Students ’perspectives. Journal of Pedagogical Sociology and Psychology, 2(1), 45-51. https://doi.org/10.33902/jpsp.2020261309
  • Allison, P. D. (2001). Logistic regression using the SAS system: Theory and Application. SAS Institute Inc.
  • Aujeco, E. M., French, J. F., Ugalde Araya, M. P. & Zafar, B. (2020). The impact of Covid-19 on student experiences and expectations: Evidence from a survey. Retrieved February 7, 2021, from https://doi.org/10.3386/w27392
  • Bolliger, D. U., & Inan, F. A. (2012). Development and validation of the Online Student Connectedness Survey (OSCS). The International Review of Research in Open and Distributed Learning, 13(3), 41-65.
  • Bozkurt, A. & Sharma, R. C. (2020). Emergency remote teaching in a time of global crisis due to Corona Virus pandemic. Asian Journal of Distance Education, 15(1), I-VI. https://doi.org/10.5281/zenodo.3778083
  • Brownlee, M. I. (2020). Online student engagement: Bridging gaps in the midst of COVID-19. Retrieved January 01, 2021, from https://www.naspa.org/blog/online-student-engagement-bridging-gaps-in-the-midst-of-covid-19
  • Büyüköztürk, Ş., Kılıç-Çakmak E., Akgün, Ö. E., Karadeniz, Ş. ve Demirel, F. (2008). Bilimsel araştirma yöntemleri (2. baskı). Pegem.
  • Chung, E., Subramaniam, G. & Christ Dass, L. (2020). Online learning readiness among university students in Malaysia Amidst Covid-19. Asian Journal of University Education, 16(2), 45-58. https://doi.org/10.24191/ajue.v16i2.10294
  • Chyung, S. Y. (2007). Age and gender differences in online behavior, self-efficacy, and academic performance. Quarterly Review of Distance Education, 8(3), 213-222. https://doi.org/10.2190/ET.41.3.e
  • Cronhjort, M., Filipsson, L. & Weurlander, M. (2018). Improved engagement and learning in flipped-classroom calculus. Teaching Mathematics and Its Applications, 37, 113-121. https://doi.org/10.1093/teamat/hrx007
  • Di Pietro, G., Biagi, F., Costa, P., Karpinski, Z. & Mazza, J. (2020). The likely impact of COVID-19 on education: Reflections based on the existing literature and recent international datasets, EUR 30275 EN, Publications Office of the European Union, Luxembourg. https://doi.org/10.2760/126686
  • Dikbaş Torun, E. (2020). Online distance learning in higher education: E-learning readiness as a predictor of academic achievement. International Council For Open And Distance Education, 12(2), 191-208. https://doi.org/10.5944/openpraxis.12.2.1092
  • Ergün, E. & Koçak Usluel, Y. (2015). Çevrimiçi öğrenme ortamlarında öğrenci bağlılık ölçeği’nin türkçeye uyarlaması: Geçerlik ve güvenirlik çalışması. Eğitim Teknolojisi Kuram ve Uygulama, 5(1), 20-33. https://doi.org/10.17943/etku.64661
  • Fleming, N. (2021). After Covid, will digital learning be the new normal? Retrieved January 26, 2021, from https://www.theguardian.com/education/2021/jan/23/after-covid-will-digital-learning-be-the-new-normal
  • Gaumer Erickson, A. S. & Noonan, P. M. (2010). Late-career adults in online education: A rewarding experience for indivudals aged 50 to 65. Merlot Journal of Online Learning and Teaching, 6(2), 388-397. https://jolt.merlot.org/vol6no2/erickson_0610.pdf
  • Girik Allo, M. D. (2020). Is the online learning good in the midst of Covid-19 Pandemic? The case of EFL learners. Journal Sinestesia, 10(1), 1-10. https://www.researchgate.net/profile/Markus-Girik-Allo/publication/340815846_Is_the_online_learning_good_in_the_midst_of_Covid-19_Pandemic_The_case_of_EFL_learners/links/5e9f02f1a6fdcca7892c962b/Is-the-online-learning-good-in-the-midst-of-Covid-19-Pandemic-The-case-of-EFL-learners.pdf
  • Gunn, C.,(2003). Dominant or different? Gender issues in computer supported learning. Journal of Asynchronous Learning Networks, 7(1), 13-30. http://dx.doi.org/10.24059/olj.v7i1.1860
  • Horzum, M. B., Demir Kaymak, Z. & Güngören, Ö. C. (2015). Structural equation modeling towards online learning readiness, academic motivations, and perceived learning. Educational Sciences: Theory & Practice, 15(3), 759-770. https://doi.org/10.12738/estp.2015.3.2410
  • Hung, M., Chou, C., Chen, C. Own, Z. (2010). Learner readiness for online learning: Scale development and student perceptions. Computers & Education, 55, 1080–1090. https://doi.org/10.1016/j.compedu.2010.05.004
  • Junco, R. (2011). The relationship between frequency of Facebook use, participation in Facebook activities, and student engagement. Computers & Education, 58, 162-171. https://doi.org/10.1016/j.compedu.2011.08.004
  • Kayaoğlu, M. N. & Dağ Akbaş, R. (2016). Online learning readiness: A case study in the field of english for medical purposes. Participatory Educational Research (PER), Vol:4, 212-220. https://dergipark.org.tr/en/download/article-file/778456
  • Li, C. & Lalani, F. (2020). The COVID-19 pandemic has changed education forever. This is how. Retrieved January, 26, 2021 from https://www.weforum.org/agenda/2020/04/coronavirus-education-global-covid19-online-digital-learning/
  • Margolis, J. & Fisher, A. (2002). Unlocking the clubhouse: Women in computing. (Cambridge: MIT Press).
  • Mohalik, R. & Suparna Sahoo, S. (2020). E-readiness and perception of student teachers’ towards online learning in the midst of Covid-19 Pandemic. SSRN Electronic Journal. Available at SSRN:https://ssrn.com/abstract=3666914 or http://dx.doi.org/10.2139/ssrn.366914
  • Nguyen, T. (2015). The Effectiveness of online learning: Beyond no significant difference and future horizons. Merlot Journal of Online Learning and Teaching, 11(2), 309-319. https://jolt.merlot.org/Vol11no2/Nguyen_0615.pdf
  • Radha, R., Mahalakshmi, K., Sathish Kumar, V., & Saravanakumar, A. R. (2020). E-Learning during lockdown of Covid-19 Pandemic: A Global Perspective. International Journal of Control and Automation, 13(4), 1088-1099. Retrieved February, 7, 2021 from http://sersc.org/journals/index.php/IJCA/article/view/26035
  • Rivera, M. (2016). Can socioeconomic status impact online learning? Retrieved February 7, 2021, from https://elearningindustry.com/socioeconomic-status-impact-online-learning
  • Sadera, W. A., Robertson, J., Song, L. & Midon, M. N. (2009). The role of community in online learning success. Merlot Journal of Online Learning and Teaching, 5(2), 277-284. https://jolt.merlot.org/vol5no2/sadera_0609.pdf
  • Salamat, L., Ahmad, G., Bakht, M. I. & Saifi, I. L. (2018). Effects of e-learning on students’ academic learning at university level. Asian Innovative Journal of Social Sciences & Humanities, 2(2), 1-12.
  • Singh, S., Rylander, D. H. & Mims, T. C. (2012). Efficiency of online vs. offline learning: A comparison of inputs and outcomes. International Journal of Business, Humanities and Technology, 2(1), 93-98. http://ijbhtnet.com/journals/Vol_2_No_1_January_2012/12.pdf
  • Tabachnick, B. G., Fidell, L. S. (1996). Using multivariate statistics (3rd ed.). New York, USA: HarperCollins College Publishers
  • Topal, M. (2020). Oyunlaştırma ile zenginleştirilmiş çevrimiçi öğrenmenin başarı, çevrimiçi bağlılık ve öğrenme motivasyonu üzerindeki etkisi [Yayımlanmamış doktora tezi]. Sakarya Üniversitesi, Sakarya. https://doi.org/10.14527/9786257052016.10
  • Tsay, C. H., Kofinas, A. & Luo, J. (2018). Enhancing student learning experiences with technology-mediated gamification: An empirical study. Computers & Education, 121, 1-17. https://doi.org/10.1016/j.compedu.2018.01.009
  • Tuntirojanawong, S. (2013). Studens ’ readiness for e-learning: A case study of Sukhothai Thammathirat Open University, Thailand. Journal of Learning in Higher Education, 9(1), 59-66.
  • UNICEF. (2020a). Education and COVID-19. Retrieved January, 25, 2021 from https://data.unicef.org/topic/education/covid-19/
  • UNICEF. (2020b). COVID-19: Socio-Economic Impact in Ghana. Retrieved February, 7, 2021 from https://www.unicef.org/ghana/media/3071/file/COVID-19:%20Socio-conomic%20Impact%20in%20Ghana.pdf
  • Wagner, S. C., Garippo, S. J. & Lovaas, P. (2011). A Longitudinal comparison of online versus traditional instruction. Merlot Journal of Online Learning and Teaching, 7(1), 68-73. https://jolt.merlot.org/vol7no1/wagner_0311.pdf
  • Walker, S. L. & Fraser, B. J. (2005). Development and validation of an instrument for assessing distance education learning environments in higher education: The distance learning environments survey (DELES). Learning Environments Research, 8(3), 289-308. https://doi.org/10.1007/s10984-005-1568-3
  • Wang, Q., Zhu, Z., Chen, L. & Yan, H. (2009). E-learning in China. Campus-Wide Information Systems, 26, 47-61. https://doi.org/10.1108/10650740910946783
  • WHO. (2020). Coronavirus disease 2019 (COVID-19) Situation Report-94. Retrieved January, 25, 2021 from https://www.who.int/docs/default-source/coronaviruse/situation-reports/20200423-sitrep-94-covid-19.pdf
  • Wilson, D. & Allen, D. (2011). Success rates of online versus traditional college students. Research in Higher Education Journal, Vol:22, 55-62. https://files.eric.ed.gov/fulltext/EJ1068796.pdf
  • Yurdugül, H. & Sırakaya, D. A. (2013). Çevrimiçi öğrenme hazır bulunuşluluk ölçeği: geçerlik ve güvenirlik çalışması the scale of online learning readiness: A study of validity and reliability. Education and Science, 38(169), 391-406. http://egitimvebilim.ted.org.tr/index.php/EB/article/view/2420
  • Zareie, B. & Navimipour, N. J. (2016). The effect of electronic learning systems on the employee’s commitment. The International Journal of Management Education, 14(2), 167-175. https://doi.org/10.1016/j.ijme.2016.04.003
Toplam 43 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Alan Eğitimleri
Bölüm Research Articles
Yazarlar

Elif Bengi Ünsal Özberk 0000-0003-2136-3081

Alper Yetkiner 0000-0003-2136-3081

Yayımlanma Tarihi 29 Eylül 2021
Yayımlandığı Sayı Yıl 2021 Cilt: 8 Sayı: Özel Sayı

Kaynak Göster

APA Ünsal Özberk, E. B., & Yetkiner, A. (2021). Logistic Regression Approach in Classifying the Effectiveness of Online Education. International Journal of Psychology and Educational Studies, 8(Özel Sayı), 21-31.