The Relationship between Learning Styles (Active- Reflective and Sequential-Holistic) and Computer Anxiety in Undergraduate Students
Subject Areas :
Infomartion Technology
Taleb Zandi
1
1 - Ph.D. Student of Educational Technology, Tarbiat Modares University, Tehran, Iran
Received: 2013-09-25
Accepted : 2014-08-16
Published : 2013-11-01
Keywords:
computer anxiety,
computer,
Learning style,
individual differences,
Abstract :
The purpose of this study was the investigation of the relationship between learning styles (active- reflective and sequential-holistic) and computer anxiety in undergraduate students of faculty of Psychology and Educational Sciences, Allameh Tabatabaee University. To do so, a sample of 310 students was selected using multi-stage cluster sampling. Measurement tools in this research included Felder - Soloman learning styles questionnaire (1999) and Heinsen and colleagues computer anxiety questionnaire (1987). The research data were analyzed with descriptive and inferential statistics (mean, frequency, standard deviation, independent t test, and point biserial correlation coefficient) and the following results were obtained: There was a significant relationship between active-reflective learning style and students' computer anxiety, i.e., students with reflective learning style had more anxiety than those with active style. There was also significant relationship between sequential-holistic learning style and computer anxiety, so that students with holistic learning style had a higher computer anxiety than those with sequential learning style. There was no significant relationship between gender and computer anxiety.
References:
Afrooz, Gh. (2000). Abstractof Applied Psychology (2nd Edition). Tehran: PTA Organization of Iran. (in Persian).
Aliabadi, Kh., & Karimi, Y. (2008). Compare of third and fifth student´s learning styles of Tehran´s guide schools .Quarterly Journal of Education, 24(2), 9-40. (in Persian).
Anderson, J. A. (2001). Developing a learning/teaching style assessment model for diverse populations. In Linda Suskie (Ed.), Assessment to promote deep learning: Insight from AAHE 2000 and 1999 Assessment Conferences (pp. 9-19). Washington, DC: American Association for Higher Education.
Ayersman, D. J., & Reed, W. (1995). Effect of learning styles, programming and gender on computer anxiety. Journal Research on Computing in Education, 27(3), 297-317.
Beackers, A., & Schmidt, Z. (2001). The structure of computer anxiety: A six factor model. Computer in Human Behavior, 17, 35-49.
Boche, M. W., Davis, L. R., & Vician, C. (2007). A longitudinal investigation of the effects of computer anxiety on performance in a computing – intensive environment. Journal of Information Systems Education, (18)4, 415-423.
Celik, V., & Yesilyurt, E. (2013). Attitudes to technology, perceived computer self-efficacy and computer anxiety as predictors of computer supported education. Computers & Education, 60, 148–158.
Cheng, G. (2014). Exploring students’ learning styles in relation to their acceptance and attitudes towards using second Life in education: A case study in Hong Kong. Computers & Education, 70, 105–115.
Cingi, C. C. (2013). Computer aided education. Social and Behavioral Sciences, 103, 220 – 229.
Felder, R. M., & Spurlin, J. (2005). Applications, reliability, and validity of the index of learning styles. International Journal of Engineering Education, 21(1), 103-112.
Ganji, H. (2007). The Psychology of Individual differences. Tehran: Besat. (in Persian).
Graf, S., Viola, S. R., Tommaso, L., & Kinshuk. )2007(. In- depth analysisof the Felder – Silverman learning style dimension. Journal of Research and Technology in Education, 40(1), xx–xxx.
Kadivar, P. (2004). Educational Psychology. Tehran: SAMT. (in Persian).
Khalifeh, Q. (2009). The relationship between cognitive styles and computer self-efficacy of undergraduate students of faculty of education and psychology of Allameh Tabatabai University. Master's Thesis, Faculty of Education and Psychology, Allameh Tabatabai University. (in Persian).
Khosravi, M. (2007). ICT and developments in the world of education. Proceedings of the Second Conference on Educational Technology. Allameh Tabatabai University Press, 137-154. (in Persian).
Lavasani, M. (2003). Examine the relationship between demographic variables and levels of anxiety in students of Tehran Univesity. Doctorial Thesis, Faculty of Education and Psychology, Tehran University. (in Persian).
Morgan, A. (2010). Computer anxiety: A study of computer training, experience, anxiety and administrative support among teacher. International Journal of Education and Development Using, 6(2).
Naderi, F., & Ahadi, H. (2005). Examine the relationship between computer anxiety and its relationship with the individual characteristics of Ahwaz University. Quarterly Journal of Psychological Studies, 1(2, 3), 7-24. (in Persian).
Niktalab, R. (2006). The relationship between cognitive styles, self-efficacy and academic achievement in third grade high school girls Sabzevar. Master's Thesis, Faculty of Education and Psychology, Allameh Tabatabai University. (in Persian).
Oliver, R. (2002.( The role of ICT in higher education for the 21st century:ICT as a change agent for education. In the Proceedings of the Higher Education for 21st Century Conference, (Miri, 24-26 September, 2002). Sarawak: Curtin University.
Olatoye, R. A. (2009). Gender factor in computer anxiety, knowledge and utilization among senior secondary school students in Ogun State, Nigeria. Gender and Behaviour, 7(2), 2430-2442.
Pritchard, A. (2009). Ways of learning: Learning theory and learning styles in the classroom (2nd Ed). Routlege.
Rosen, L. D., & Maguire, P. D. (1990). Myths and realities of computerphobia: A meta-analysis. Anxiety Research, 3, 175-191.
Smith, M. R., & Kotrlik, J. W. (1990). Computer anxiety levels of southern region cooperative extension agents. Journal of Agricultural Education, 31(1), 12-17.
Woolfolk, A. E. (2004). Educational Pstchology (9th Ed).Englewood Cliffs, NJ: Prentice – Hall.
Zoghi, M., Brown, T., Williams, B., Roller, L., Jaberzadeh, S., Palermo, C., et al. (2010). Learning styles preferences of Australian health science students. Journal of Allied Health, (39)2, 95- 103.
Zywno, M .S. (2003). A contribution to validation of score meaning for Felder Silverman index of learning styles. Proceeding of the 2003 American Society for Engineering Education, Annual Conference & Exposition, Session 2351.