Research Article
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Year 2021, Volume: 22 Issue: 3, 310 - 325, 01.07.2021
https://doi.org/10.17718/tojde.961855

Abstract

References

  • Anderson, J. C., & Gerbing, D. W. (1984). The effect of sampling error on convergence, improper solutions, and goodness of fit indices for maximum likelihood confirmatory factor analysis. Psychometrika, 49(2), 155-173. https://doi.org/10.1007/BF02294170.
  • Arrindell, W. A., & van der Ende. J. (1985). An empirical test of the utility of the observations to variables ratio in factor and components analysis. Applied Psychological Measurement, 9(2), 165-178.
  • Bagriacik Yilmaz, A., & Banyard, P. (2020). Engagement in Distance Education Settings: A Trend Analysis. Turkish Online Journal of Distance Education, 21(1), 101-120.

DEVELOPMENT OF MEDICAL SCHOOL STUDENTS’ ATTITUDES TOWARDS ONLINE LEARNING SCALE AND ITS RELATIONSHIP WITH E-LEARNING STYLES

Year 2021, Volume: 22 Issue: 3, 310 - 325, 01.07.2021
https://doi.org/10.17718/tojde.961855

Abstract

This study aims at determining students’ attitudes towards distance education/online learning through a scale developed by the authors and determine the relationship between these attitudes and e-learning styles. The study carried out on students of Canakkale Onsekiz Mart University Faculty of Medicine using the online system of the university., the sample group consists 815 students from different classes, the participation rate was 89.46%. Following the explanatory factor and confirmatory factor analysis resulting structure of the scale was confirmed. Construct validity, criterion validity and internal consistency of the scale were high. Multivariate regression analysis was conducted to assess the predictive strength of the students’ learning styles which were determined using the e-Learning Styles Scale for Electronic Environments for the attitudes towards online learning. Presented Medical School Students’ Attitudes Towards Online Learning Scale was valid and reliable instrument to measure medical school students’ attitudes towards distance/online learning. Although students’ attitudes toward online/distant education were divided, it was negative on the average. The regression modeling showed that the learning styles are significant predictors for attitudes towards online education and the audio-visual learning style was determined as has the highest predictive strength for attitudes towards online education. The developed tool can be used to monitor medical school students’ attitudes towards distance/online learning and will contribute to preparing medical education for a change towards distance learning.

References

  • Anderson, J. C., & Gerbing, D. W. (1984). The effect of sampling error on convergence, improper solutions, and goodness of fit indices for maximum likelihood confirmatory factor analysis. Psychometrika, 49(2), 155-173. https://doi.org/10.1007/BF02294170.
  • Arrindell, W. A., & van der Ende. J. (1985). An empirical test of the utility of the observations to variables ratio in factor and components analysis. Applied Psychological Measurement, 9(2), 165-178.
  • Bagriacik Yilmaz, A., & Banyard, P. (2020). Engagement in Distance Education Settings: A Trend Analysis. Turkish Online Journal of Distance Education, 21(1), 101-120.
There are 3 citations in total.

Details

Primary Language English
Journal Section Articles
Authors

Mustafa Onur Yurdal

Erkan Melih Sahın

Aysen Melek Aytug Kosan This is me

Cetin Toraman

Publication Date July 1, 2021
Submission Date August 16, 2020
Published in Issue Year 2021 Volume: 22 Issue: 3

Cite

APA Yurdal, M. O., Sahın, E. M., Aytug Kosan, A. M., Toraman, C. (2021). DEVELOPMENT OF MEDICAL SCHOOL STUDENTS’ ATTITUDES TOWARDS ONLINE LEARNING SCALE AND ITS RELATIONSHIP WITH E-LEARNING STYLES. Turkish Online Journal of Distance Education, 22(3), 310-325. https://doi.org/10.17718/tojde.961855

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