ISSN: 2222-6990
Open access
This scientific study is aimed at analyzing technology challenge items among adolescent. This study was a quantitative study using questionnaire as an instrument for collecting data. The Rasch model is used to identify the most important challenges among adolescent. A total of 175 samples comprising 15 to 18 years old from three types of school were selected. A total of 76 technology challenge items are listed based on the Youth Challenge Model consisting of six dimensions. The findings show that the main challenged among adolescent are in the dimensions of creativity and innovation with average of 0.188 logits, followed by the dimensions of information and communication technology (ICT) 0.174 logits and the science and technology dimensions of 0.170 logits. The implication of this study illustrates that further actions needs to be done by the stakeholder in planning for adolescent development programs to expand their potential to continue to meet increasingly challenges globally.
References
Akomolafe, M. J., Ogunmakin, A. O. & Fasooto, G. M. (2013). The role of academic self-efficacy , academic motivation and academic self- concept in predicting secondary school students’ academic performance. Journal of Educational and Social Research 3(May): 335–342. doi:10.5901/jesr.2013.v3n2p335
Anderson, E. L., Steen, E. & Stavropoulos, V. (2017). Internet use and problematic internet use: a systematic review of longitudinal research trends in adolescence and emergent adulthood. International Journal of Adolescence and Youth 22(4): 430–454.
doi:10.1080/02673843.2016.1227716
Benedek, M., Jauk, E., Sommer, M., Arendasy, M. & Neubauer, A. C. (2014). Intelligence, creativity , and cognitive control?: The common and differential involvement of executive functions in intelligence and creativity. Intelligence 46: 73–83. doi:10.1016/j.intell.2014.05.007
Bond, T. G., & Fox, C. M. (2015). Applying the Rasch Model: Fundamental measurement in the human sciences, Third Edition . New York: Routledge.
Boone, W. J. & Noltemeyer, A. (2017). Rasch analysis: A primer for school psychology researchers and practitioners. Cogent Education 25: 1–13. doi:10.1080/2331186X.2017.1416898
Bunyamin, M. A. H. (2015). Pendidikan STEM Bersepadu?: Perspektif global , perkembangan semasa di Malaysia , dan langkah ke hadapan. Buletin Persatuan Pendidikan Sains dan Matematik Johor 25(1),1-6
Bunyamin, M. A. H. (2016). Kemahiran berfikir aras tinggi: Perspektif pedagogi kritikal dan budaya pendidikan Malaysia. Malaysian Journal of Higher Order Thinking Skills in Education, Vol. 1.
Ceobanu, C. & Boncu, S. (2014). The challenges of the mobile technology in the young adult education. Procedia - Social and Behavioral Sciences 142: 647–652.
doi:10.1016/j.sbspro.2014.07.680
Cho, S., Drasgow, F. & Cao, M. (2015). An investigation of emotional intelligence measures using item response theory. Psychological Assessment 27(4): 1241–1252. doi:10.1037/pas0000132
Cohen, L., Manion, L., & Morrison, L. (2011). Research Methods in Education, Seven Edition. USA and Canada:Routledge.
Creswell, J. W., & Creawell, J. D. (2017). Research Design: Qualitative, Quantitative, and Mix Methods Approaches, Fifth Edition. United State of Amerika: Sage Publication Institute.
Deloitte Global, & The Global Business Coalition for Education. (2018). Preparing tomorrow’s workforce for the Fourth Industrial Revolution For business: A framework for action. United State.
Dugger, W. E. (2010). Evolution of STEM in the United States. 6th Biennial International Conference on Technology Education Research in Australia.
Fauzi, N. (2017). Penggunaan media sosial dalam dunia tanpa sempadan: Suatu kebaikan atau keburukan?
George, M. J., & Odger, C. L. (2015). Seven fears and the science of how mobile technologies may be influencing adolescents in the digital age. Perspect Psychol Sci. 10(6): 832–851. doi:10.1177/1745691615596788.
Ghasemi, V., Rabiei, K., Davoodi, S. & Rabiei, H. (2017). Mobile internet usage among adolescents and young adults in Iran: A Sociological survey. Journal of History Culture and Art Research 6(1): 863. doi:10.7596/taksad.v6i1.785
Giedd, J. N. (2012). The digital revolution and adolescent brain evolution. Journal Adolescent Health 51(2): 101–105. doi:10.1016/j.jadohealth.2012.06.002.
Guan, S. S. A. & Subrahmanyam, K. (2009). Youth internet use: risks and opportunities. Current Opinion in Psychiatry 22(4).
Ibrahim, M. I., Nazri, F. I., Basiron, B., Baharuddin, A., Bidang, M., Persepsi, K. & Bentong, S. I. (2018). Islam serta pembentukan sains dan teknologi. Prosiding Seminar Tamadun Islam UTM, 1-2.
Ismail, A. M., Mohd Zain, M. Z. & Abdul Khadir, M.N. (2012). Broadcasting media impact to Malay students behavior in Malaysia. Journal of Applied Sciences Research, 8(5): 2596-260
Jauk, E., Benedek M., & Neubauer. A. C. (2014). The road to creative achivement: A latent variable Model of Ability and personality predictors. European Journal of Perso
In-Text Citation: (Mahamud & Othman, 2019)
To Cite this Article: Mahamud, S., & Othman, N. (2019). Item Analysis of Technology Challenges Among Adolescent Using Rasch Model. International Journal of Academic Research in Business and Social Sciences, 9(6), 1314–1326.
Copyright: © 2019 The Author(s)
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