Abstract
This research investigates the personality characteristics of Information Technology students (CIT) in UAE University (UAEU) and how such features impact their IT learning. To achieve this objective, this research attempts to explain the impact of the Big-5 factors on learning using survey research. Results from 179 respondents suggested that agreeableness, extraversion, openness, and conscientiousness respectively were the most important strategies adopted by CIT students. However, neuroticism scored the lowest. Such results could be attributed to personal as well as to cultural reasons as highlighted in this research. The research highlights theoretical as well as professional contributions and implications. Some of challenges in this research could be addressed by designing programs aiming at enhancing student’s learning ability from the perspective of their personal traits.
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References
Babakhani, N. (2014). “The relationship between the big-five model of personality, self-regulated learning strategies and academic performance of Islamic Azad University students”, 5th World Conference on Educational Sciences - WCES 2013. Procedia - Social and Behavioral Sciences, 116, 3542–3547.
Barbaranelli, C., Caprara, G., Rabasca, A., & Pastorelli, C. (2003). A questionnaire for measuring the big five in late childhood. Personality and Individual Differences, 34(4), 645–664.
Caprara, G. V., Barbaranelli, C., Borgogni, L., & Perugini, M. (1993). The big five questionnaire: a new questionnairefor the measurement of the five factor model. Personality and Individual Differences, 15, 281–288.
Costa, P. T., & McCrae, R. R. (1992). Revised NEO personality inventory (NEO-PI-R) and NEO five-factor inventory (NEO-FFI) manual. Odessa: Psychological Assessment Resources.
De Feyter, T., Caers, R., Vigna, C., & Berings, D. (2012). Unraveling the impact of the big five personality traits on academic performance: the moderating and mediating effects of self-efficacy and academic motivation. Learning and Individual Differences, 22, 439–448.
Digman, J. M. (1990). Personality structure: emergence of the five-factor model. Annual Review of Psychology, 41, 417–440.
Graham, S. (2006). Listening comprehension: the learners’ perspective. System, 34(2), 165–182.
John, O., & Srivastava, S. (2001). The Big-Five Trait Taxonomy: History, Measurement, and Theoretical Perspectives. In Pervin, L. & John, O.P. (Eds.), handbook of personality: theory and research (2nd ed.). New York: Guilford.
Jensen-Campbell, L., Knack, J., Waldrip, A., & Campbell, S. (2007). Do big five personality traits associated with self-control influence the regulation of anger and aggression? Journal of Research in Personality, 41(2), 403–424.
Kinga, R., McInerneyb, D., & Watkinsa, D. (2012). Competitiveness is not that bad…at least in the east: testing the hierarchical model of achievement motivation in the Asian setting. International Journal of Intercultural Relations, 36(6), 446–457.
Lynn, J. (2009). Learning orientations: diversity in higher education. Learning and Individual Differences, 19(2), 195–208.
Peetsma, T., & Van der Veen, I. (2011). Relations between the development of future time perspective in three life domains, investment in learning, and academic achievement. Learning and Instruction, 21(3), 481–494.
Premkumar, G., & Roberts, M. (1999). Adoption of new information Technologies in Rural Small Businesses. The International Journal of Management Science (OMEGA), 27, 467–484.
Swinton, O. (2010). The effect of effort grading on learning. Economics of Education Review, 29(6), 1176–1182.
Thong, J. (1999). An integrated model of information systems adoption in small business. Journal of Management Information Systems, 15(4), 187–214.
Vedel, A. (2014). The big five and tertiary academic performance: a systematic review and meta-analysis. Personality and Individual Differences, 71, 66–76.
Zhang, J., & Ziegler, M. (2016). How do the big five influence scholastic performance? A big five-narrow traits model or a double mediation model, learning and individual differences, volume 50. August, 2016, 93–102.
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Appendix 1
Appendix 1
The survey questions
A Extraversion | |
1 | like to do a great deal of activities |
2 | like to be with others |
3 | can easily say to others what I think |
4 | do something not to get bored |
5 | happy and lively |
B Agreeableness | |
6 | behave correctly and honestly with others |
7 | understand when others need my help |
8 | like to give gifts |
9 | treat my peers with affection |
10 | If a classmate has some difficulty I help her/him |
11 | trust in others |
C Conscientiousness | |
12 | do my job without carelessness and inattention |
13 | When I start to do something I have to finish it at all costs |
14 | like to keep all my university things in a great order |
15 | It is unlikely that I divert my attention |
D Neuroticism | |
16 | usually in a depressed mood |
17 | argue with others with excitement |
18 | easily get angry |
19 | easily lose my calm |
20 | usually feel guilty even about silly things |
E Openness | |
21 | know many things |
22 | have a great deal of imagination |
23 | easily learn what I study at class |
24 | able to create new games and entertainments |
25 | like to know and to learn new things |
26 | would like very much to travel and to know the habits of other countries |
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Al-Qirim, N., Rouibah, K., Tarhini, A. et al. Towards a personality understanding of information technology students and their IT learning in UAE university. Educ Inf Technol 23, 29–40 (2018). https://doi.org/10.1007/s10639-017-9578-1
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DOI: https://doi.org/10.1007/s10639-017-9578-1
