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Dergiler / IOJET / 2021 / Cilt: 8 - Sayı: 1

THE LEARNER READINESS FOR ONLINE LEARNING: SCALE DEVELOPMENT AND UNIVERSITY STUDENTS’ PERCEPTIONS

Ferahim Yeşilyurt
Dergi
IOJET
Sayfa
29–42
Yayın Tarihi
2022-10-18
DOI
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⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

There was no statistical difference in the two dimensions of ROLS in terms of gender, and the participant students at Facultiesof Educationhad similar levels in all readiness dimensions than theother participants in other faculties.

📌 3 Maddede Bu Makale

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Amaç & Hipotez:The purpose of this study was todetermine university students’ readiness for online learning.
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Temel Bulgular & Veri:The participants of the study comprised 297 universitystudents who were selected using randomlysampling model.The data were collected via readiness for online learning scale (ROLS)and analyzed usingexploratory factor analysis (EFA) and confirmatory factor analysis (CFA) to establish the construct validity of the ROLS model.
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Sonuç & Katkı:There was no statistical difference in the two dimensions of ROLS in terms of gender, and the participant students at Facultiesof Educationhad similar levels in all readiness dimensions than theother participants in other faculties.
🔬Tür:Modelleme & Sayısal Simülasyon
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Alan Parametreleri

Abstract

The purpose of this study was todetermine university students’ readiness for online learning. Mainly due to the study a multidimensional instrument for university students’ readiness for online learning (ROLS) developed and validated. The study adopted qualitativeresearch method based on quantitative data. The participants of the study comprised 297 universitystudents who were selected using randomlysampling model.The data were collected via readiness for online learning scale (ROLS)and analyzed usingexploratory factor analysis (EFA) and confirmatory factor analysis (CFA) to establish the construct validity of the ROLS model. In addition, a series of one-way ANOVA were conducted to investigate the effect of demographic variables on readiness of online learning. Through confirmatoryfactor analysis, ROLS was validated in two dimensions: computer literacy (CL) and computer basedself-confidence (CSC). The results revealed that students’ levels of readiness were high in computer literacy and computer based self-confidence. In thestudy it was also found out that perception of students’ self-confidence while using computer caused significantstatistical differencesin two dimensions; the students who hadhigher level (very good, good) of self-confident perception while using computer students exhibited significantly greater readiness in the dimensions of CL and CSC than those who hadlower level of self-confident perception. There was no statistical difference in the two dimensions of ROLS in terms of gender, and the participant students at Facultiesof Educationhad similar levels in all readiness dimensions than theother participants in other faculties.

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Bu Makaleye Atıf Yap

Yeşilyurt, F. (2022). THE LEARNER READINESS FOR ONLINE LEARNING: SCALE DEVELOPMENT AND UNIVERSITY STUDENTS’ PERCEPTIONS. IOJET, Cilt: 8 - Sayı: 1, 29–42. https://ajindex.com/articles/542179

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Kaynakça (12)

  1. Anderson. (2004). The educational semantics web: A vision for the next phase of educational computing. Educational Technology, 44(5),5-9
  2. Alonso, F., Lopez, G., Manrique, D., & Vines, J. (2005). An instructional model for web-based elearning education with a blended learning process approach. British Journal of Educational Technology, 36(2), 217–235.
  3. Burgess, J. V. (2006). Transactional distance theory and student satisfaction with web-based distance learning courses (degreeof Doctor of Education). USA: The University of West Florida. Carliner,S.(1998).Overview of online learning. Amherst, MA: Human Resource Development press.Cole, R.A. (2000).Issues in web-based pedagogy:A critical primer. Wesport,CT: Greenwood press. Concannon, F., Flynn, A., & Campbell, M. (2005). What campus-based students think about the quality and benefits of e-learning. British Journal of Educational Technology, 36(3), 501–512.
  4. Compeau, D. R., & Higgins, C. A. (1995). Computer self-efficacy: development of a measure and initial test. MIS Quarterly, 19(2), 189–211.
  5. Davis, T. S. B. (2006). Assessing online readiness: Perceptions of distance learning stakeholders in three Oklahoma community colleges. Unpublished doctoral dissertation, Oklahoma State University.Federico, P. (2000). Learning styles and student attitudes toward various aspects of network-based instruction. Computers in Human Behavior, 16(4), 359–379.
  6. Garrison, R. (2000). Theoretical challenges for distance education in the 21st century: A shift from structural to transactional issues. International Review of Research in Open and Distance Learning, 1(1), 1-17.
  7. Garrion, D.R. (1999). Will distance disappearin distance study? A reaction: journal of distance education 13(2),10-13
  8. Hung, M. L., Chou, C., Chen, C. H., & Own, Z. Y. (2010). Learner readiness for online learning: Scale development and student perceptions. Computers & Education, 55, 1080–1090.
  9. Roper, A. R. (2007). How students developonline learning skills. Educate Quarterly, 30(1), 62–64
  10. McVay, M. (2001). How to be a successful distance learning student: Learning on the Internet. New York: Prentice Hall. Lau, C. Y., & Shaikh, J. M. (2012). The impacts of personal qualities on online learning readiness at Curtin Sarawak Malaysia (CSM).Educational Research and Reviews, 7(20), 430-444
  11. Lee, J., Hong, N. L., & Ling, N. L. (2002). An analysis of students’ preparation for the virtual learning environment. Internet and Higher Education, 4, 231–242
  12. Lowell, N. O. (2004). An