Determination of university students' most preferred mobile application for gamification
Article Sidebar
Main Article Content
Abstract
In this digital age of technological advancement, mobile applications are fastly approaching acme of development. In order to increase the efficiency of the developed applications, mobile applications which are suitable for gamification have become a contemporary issue. In this study, the applications of Kahoot, ClassDojo, Classcraft and Socrative which are suitable for gamification were examined. The study was conducted with the students in the department of preschool education at Near East University. 130 students participated in this research. The data were collected with survey method and analyzed with the SPSS program. According to the results, it was revealed that Kahoot was the mostly preferred application by students who used applications designed or suitable for the gamification method and Android was the mostly preferred operating system in the mobile devices of the students. Future research should determine the achievements, motivations and opinions of the students related with the gamification method. Besides, it can be inferred that Kahoot would be the learning platform of the future and it should be integrated into classroom activities.
Â
Keywords: Gamification, Kahoot, mobile device, operating systems.
Downloads
Article Details
World Journal on Educational Technology: Current Issues is an Open Access Journal. The copyright holder is the author/s. Licensee Birlesik Dunya Yenilik Arastirma ve Yayincilik Merkezi, North Nicosia, Cyprus. All articles can be downloaded free of charge. Articles published in the Journal are Open-Access articles distributed under CC-BY license [Attribution 4.0 International (CC BY 4.0)].
Birlesik Dunya Yenilik Arastirma ve Yayincilik Merkezi (BD-Center)is a gold open-access publisher. At the point of publication, all articles from our portfolio of journals are immediately and permanently accessible online free of charge. BD-Center articles are published under the CC-BY license [Attribution 4.0 International (CC BY 4.0)], which permits unrestricted use, distribution, and reproduction in any medium, provided the original authors and the source are credited.
References
Mincer, J. (1991). Education and unemployment. New York, USA, NBER Working Paper #3838.
Gangl, M. (2000). Education and labour market entry across Europe: The impact of institutional arrangements in training systems and labour markets.Mannheim, Germany, Working paper, 25, 3-8.
Bernardi, F. (2003). Returns to educational performance at entry into Italian labour market. European Sociological Review, 19(1), 25-40.
Breen, R. (2005). Explaining cross-national variation in youth unemployment: market and institutional factors. European Sociological Review, 21(2), 125-134.
Beller, E., & Hout, M. (2006).Welfare states and social mobility: How educational and social policy may affect cross-national differences in the association between occupational origins and destinations. Research in Social Stratification and Mobility, 24, 353-365.
Riddell, W.C., & Song, X. (2011). The impact if education on employment incidence and re-employment success: Evidence from U.S. labour market. Labour economics, 18(4), 453-463.
Herman, E. (2012). Education’s impact on the Romanian labour market in the European context. Social and Behavioral Sciences, 46, 5563-5567.
Ionescu, A.M. (2012). How does education affect labour market outcomes? Review of Applied Socio-Economic Research, 4(2),130-144.
Zella, S. (2010). Changes in the role of educational qualifications on entry into the labour market: evidence from the Italian case. Italian Journal of Sociology of Education, 2,81-106.
Barro, R.J., & Lee, J.W. (2013). A new data set of educational attainment in the world, 1950-2010. Journal of Development Economics, 104,184-198.
Brejerova, L., & Duflo, E. (2004). The impact of education on fertility and child mortality: do fathers really matter less than mothers? New York, USA, NBER Working Paper, 10513.
Cutler, D., Deaton, A., & Lleras-Muney, A. (2006). The determinants of mortality. Journal of Economic Perspectives, 20(3), 97-120.
Ciburiene, J. (2014). Economic inequality and higher education: Lithuanian case. http://prmechapterdach.eu/wp- content/uploads/ 2015/01/Ciburiene-Economic_inequality_Chur2014.pdf.
Giziene, V., & Simanaviciene, Z. The impact of human capital on labour market: Lithuanian case. Social and Behavioral Sciences, 191, 2437-2442.
Grazulis, V., & Gruzevskis, B. (2009). Characteristics of Lithuanian labour market policy development. Public Policy and Administration, 28, 40-51.
Eurostat Comext Database. (2015). http://appsso.eurostat.ec.europa.eu/nui/.