Abstract
This study has two main purposes. The first purpose of this study was to develop a scale for teacher candidates on the Internet information pollution. Second purpose of the study was to examine Internet information pollution scale scores of teacher candidates according to their genders, programs, daily internet usage and technology competency. In line with these purposes, validity and reliability studies of Internet Information Pollution Scale were performed with the participation of 521 students from Anadolu University, Education Faculty. Principal Component Analysis and Warimax rotation technique was utilized for the construct validity of the scale. As a result of factor analysis, 20-item two-factor structure was obtained. Explanatory total of these two factors is 42.78%. Cronbach's α coefficient was calculated as .88 for internal consistency of the scale. For test-retest reliability, scale form applied to 39 teacher candidates in two weeks and .85 coefficient was determined. According to the results, it was determined that developed scale can be used as a valid and reliable tool for determining information pollution levels encountered in the Internet. Then, the scale was applied to 176 teacher candidates from three programs. Then, the scale was applied to 176 teacher candidates from three programs. It was revealed from the application results that more experienced and proficient teacher candidates less effected from information pollution
References
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- Field, A. (2005). Discovering Statistics using SPSS (fourth edition), Sage Publications Ltd., London.
- Ghauth, K. I., & Sukhur, M. S. (2015). Text Censoring System for Filtering Malicious Content Using Approximate String Matching and Bayesian Filtering. In Computational Intelligence in Information Systems (pp. 149-158). Springer International Publishing.
- Head, M., Archer, N., ve Yuan, Y. (2000). World wide web navigation aid. International Journal of Human-Computer Studies, 53(2), 301–330.
- Iacobucci, D., ve Duhachek, A. (2003). Advancing alpha: measuring reliability with confidence. Journal of Consumer Psychology, 13(4), 478-87.
- Karasar, N. (2006). Bilimsel araştırma yöntemi. (16. Basım). Ankara: Nobel Yayın Dağıtım.
- Kumar, A. H. (2013). Rise in polluters of scientific research: How to curtail information pollution (infollution). Journal of natural science, biology, and medicine, 4(2), 271.
- Nielsen, J. (2003). Information pollution. Jakob Nielsen's Alertbox, useit.com.
- Pallant, J. (2001). SPSS survival manual. Maidenhead, PA: Open University Press.
- Power, C. (2015). Higher Education: The Engine of Development. In The Power of Education (pp. 163-186). Springer Singapore.
- Prabhaker, P. (2004). Information pollution: A disaster waiting to happen. Paper presented at the 3rd Global Conference on Business and Economics, Netherlands: Amsterdam.
- Sharma, S. (1996). Applied Multivariate Techniques. John Wiley and Sons Inc., New York.
- Tabachnick, B.G. and Fidell, L.S. (2001). Using Multivariate Statistics (fourth edition), New York, College Publishers.
Development and application of internet information pollution scale / İnternet’te bilgi kirliliği ölçeğinin geliştirilmesi ve uygulanması
Abstract
This study have two main purpose. The first purpose of this study was to develop a scale for teacher candidates on the Internet information pollution. Second purpose of the study was to examine Internet information pollution scale scores of teacher candidates according to their genders, programs, daily internet usage and technology competency. For the purpose of study, primarily 32-item developed and 24 of these items selected for scale with 20 specialists in the field of information technology. The developed scale draft applied to 472 students at Anadolu University, Faculty of Education. The study conducted with 521 teacher candidates from 10 different branches. After the validity and reliability studies of the scale applied to 176 teacher candidates from 3 program. Independent t-test and one way ANOVA was used to compere scale scores according to students’ demographics. It was revealed from the application of Internet Information Pollution scale that more experienced and proficient teacher candidates less effected from information pollution.
References
- Ayhan, İ. (2007). Yeni ufuklara: Öğrenme. TÜBİTAK Bilim ve Teknik Dergisi, Temmuz Eki.
- Bai, Y. (2009). Study on the construction of the ınternet ecological concep. Modern Applied Science, 3 (2), 14-18.
- Balcı, A. (2001). Sosyal bilimlerde araştırma. Yöntem, teknik ve ilkeler. (3. Baskı). Ankara: Pegem A Yayıncılık.
- Büyüköztürk, Ş. (2007). Veri analizi el kitabı. (8. Basım), Ankara: Pegem Yayınları.
- Cai, K. ve Zhang, C. (1996). Towards a research on ınformation pollution. Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 3124-3129.
- Clark, L. A. ve Watson, D. (1995). Constructing validity: Basic issues in objective scale development. Psychological Assessment, 7, 309 - 319.
- Cortina, J.M., (1993). What is coefficient alpha? An examination oftheory and applications. Journal of Applied Psychology, 78, 98–10.
- Fırat, M. ve Kurt, A.A. (2008). The views of candidate teachers of ınformation technologies about ınformation pollution on the ınternet, 7th WSEAS International Conference on Educatıon And Educatıonal Technology - Edu'08, Venice, Italy.
- Field, A. (2005). Discovering Statistics using SPSS (fourth edition), Sage Publications Ltd., London.
- Ghauth, K. I., & Sukhur, M. S. (2015). Text Censoring System for Filtering Malicious Content Using Approximate String Matching and Bayesian Filtering. In Computational Intelligence in Information Systems (pp. 149-158). Springer International Publishing.
- Head, M., Archer, N., ve Yuan, Y. (2000). World wide web navigation aid. International Journal of Human-Computer Studies, 53(2), 301–330.
- Iacobucci, D., ve Duhachek, A. (2003). Advancing alpha: measuring reliability with confidence. Journal of Consumer Psychology, 13(4), 478-87.
- Karasar, N. (2006). Bilimsel araştırma yöntemi. (16. Basım). Ankara: Nobel Yayın Dağıtım.
- Kumar, A. H. (2013). Rise in polluters of scientific research: How to curtail information pollution (infollution). Journal of natural science, biology, and medicine, 4(2), 271.
- Nielsen, J. (2003). Information pollution. Jakob Nielsen's Alertbox, useit.com.
- Pallant, J. (2001). SPSS survival manual. Maidenhead, PA: Open University Press.
- Power, C. (2015). Higher Education: The Engine of Development. In The Power of Education (pp. 163-186). Springer Singapore.
- Prabhaker, P. (2004). Information pollution: A disaster waiting to happen. Paper presented at the 3rd Global Conference on Business and Economics, Netherlands: Amsterdam.
- Sharma, S. (1996). Applied Multivariate Techniques. John Wiley and Sons Inc., New York.
- Tabachnick, B.G. and Fidell, L.S. (2001). Using Multivariate Statistics (fourth edition), New York, College Publishers.
Details
| Primary Language | Turkish |
|---|---|
| Journal Section | Makaleler |
| Authors | |
| Publication Date | January 18, 2015 |
| Submission Date | January 18, 2015 |
| Published in Issue | Year 2015 Volume: 11 Issue: 1 |
