Abstract
Today, children and adolescents are more interested in spending time on ICT applications such as playing video games, using mobile, computer and Internet, and watching TV by sacrificing learning and extracurricular activity. The present study investigates whether time devoted to ICT applications adversely affects academic self-efficacy and achievement of adolescent students in two developing countries, India and Fiji. The study developed a structured questionnaire to capture the proposed variables such as level (time spent) of ICT exposure, academic self-efficacy and achievement into a quantitative framework. A survey collected relevant information for these variables from 873 adolescent students of the tenth class standard from 16 schools selected in rural and urban areas in India and Fiji. Cronbach’s alpha test was used to assess the reliability of the instrument before principal component analysis (PCA) was employed to construct a suitable index of academic self-efficacy. Statistical analyses such as ANOVA and regression methods were followed to establish various relationships among the variables. The results suggested that ICT exposure improves academic self-efficacy and achievement of adolescent students, but at a low rate and up to a certain limit of time (3 h/day) spending.
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References
Anderson, C. A., & Bushman, B. J. (2001). Effects of violent video games on aggressive behaviour, aggressive cognition, aggressive affect, physiological arousal, and prosocial behaviour: A meta-analytic review of the scientific literature. Psychological Science, 12, 353–359.
Atwater, E. (1992). Adolescence (3rd ed.). NJ: Prentice Hall: Englewood Cliffs.
Ausubel, D. P. (2002). Theory and problems of adolescent development. Lincoln, USA: Writers Club Press.
Bandura, A. (1964). The stormy decade: Fact or fiction? Psychology in the Schools, 1, 224–231.
Bandura, A. (1986). Social foundations of thought and action: A social cognitive theory. NJ: Prentice Hall.
Bandura, A. (1993a). Perceived self-efficacy in cognitive development and functioning. Educational Psychologist, 28(2), 117–148.
Bandura, A. (1993b). Social learning theory. Englewood Cliffs, NJ: Prentice-Hall.
Bandura, A. (1994). Self-efficacy. Encyclopedia of human behaviour, 4(1), 71–81.
Bandura, A. (1997). Self-efficacy: The exercise of control: Macmillan. New York: Freeman.
Bandura, A. (2001). Social cognitive theory: An agentic perspective. Annual Review Psychologists, 52, 1–26.
Bandura, A. (2006). Guide for constructing self-efficacy scales. In F. Pajares & T. Urdan (Eds.), Self-efficacy beliefs of adolescents (pp. 307–337). Charlotte, United States: Information Age Publishing.
Bavelier, D., Green, C. S., Han, D. H., Renshaw, P. F., Merzenich, M. M., & Gentile, D. A. (2011). Brains on videogames. Nature Reviews Neuroscience, 12, 763–768.
Basri, W. S., Alandejani, J. A., & Almadani, F. M. (2018). ICT adoption impact on students’ academic performance: Evidence from Saudi universities. Education Research International, 1240197.
Bosworth, K., Gustafson, D. H., & Hawkins, R. P. (1994). The BARN system: Use and impact of adolescent health promotion via computer. Computers in Human Behavior, 10(4), 467–482.
Caprara, G. V., Fida, R., Vecchione, M., Del Bove, G., Vecchio, G. M., Barbaranelli, C., et al. (2008). Longitudinal analysis of the role of perceived self-efficacy for self-regulated learning in academic continuance and achievement. Journal of Educational Psychology, 100(3), 525–534.
CDC. (2009). Web-based injury statistics query and reporting system (WISQARS). Washington, D.C., USA: National Center for Injury Prevention and Control.
Chauhan, S. S. (2009). Advanced educational psychology. New Delhi: Vikas Publishing House Pvt. Ltd.
Cole, M. (1996). Cultural psychology: A once and future discipline. Cambridge: Harvard University Press.
Cortina, J. M. (1993). What is coefficient alpha? An examination of theory and applications. Journal of Applied Psychology, 78, 98–104.
Engels, R. C. M. E., Hale, W. W., III, Noom, M., & Vries, H. D. (2005). Self-efficacy and emotional adjustment as precursors of smoking in early adolescence. Substance Use and Misuse, 40, 1883–1893.
Erikson, E. (1968). Identity: Youth and crisis. New York: Norton.
Erikson, E., & Erikson, J. (1997). The Life cycle completed. New York: Norton.
Freud, S. (1962). Three essays on the theory of sexuality, trans. James Strachey. New York: Basic Books.
Goddard, C. (1998). Semantic analysis: A practical introduction: New York. NY: Oxford University Press.
Hall, G. S. (1904). Adolescence: Its psychology and its relation to physiology, anthropology, sociology, sex, crime, religion, and education. NJ: Prentice-Hall: Englewood Cliffs.
Hansen, D. L., Derry, H. A., Resnick, P. J., & Richardson, C. R. (2003). Adolescents searching for health information on the internet: An observational study. Journal of Medical Internet Research, 5(4), 25.
Head, A. J., & Eisenberg, M. B. (2009). Lessons learned: How college students seek information in the digital age. Project Information Literacy First Year Report with Student Survey Findings, University of Washington’s Information School. Retrieved on January 22, 2015, from http://projectinfolit.org/images/pdfs/pil_fall2009_finalv_yr1_12_2009v2.pdf.
Jain, S., & Shakher, C. (2014). Statistical study of video game effects on children. International Journal of New Trends in Arts, Sports and Science. 3(1).
Keating, D. P. (1979). Toward a multivariate life-span theory of intelligence. Intellectual development beyond childhood. San Francisco: Jossey-Bass.
Keller, G. (2013). Statistics for management and economics (7th ed.). s.l.: Brooks/Cole.
Levesque, R. J. (2011). Encyclopedia of adolescence (Vol. 1–2). New York: Springer.
Lindman, C., & Sellin, J. (2011). Measuring human development: The use of principal component analysis in creating an environmental index. Uppsala University. Retrieved from www.diva-portal.org/smash/get/diva2:464378/FULLTEXT03.
Marcino, P. (2018). Impact of information and communication technology on academic achievement for exceptional student education inclusion students. Walden Dissertations and Doctoral Studies http://scholarworks.waldenu.edu/dissertations.
Marsch, L. A., Bickel, W. K., & Badger, G. J. (2006). Applying computer technology to substance abuse prevention science: Results of a preliminary examination. Journal of Child and Adolescent Substance Abuse, 16(2), 69–94.
Mahyuddin, R., Elias, H., Cheong, L., & Muhamad, M. (2006). The relationship between students’ self efficacy and their English language achievement. Jurnal Pendidik dan Pendidikan, 21, 61–71.
Mbah, T. B. (2010). The impact of ICT on students’ study habits. Journal of Science and Technology Education Research, 1(5), 107–110.
Merikangas, K. R., He, J. P., Burstein, M., Swanson, S. A., Avenevoli, S., Cui, L. B. C., et al. (2010). Lifetime prevalence of mental disorders in U.S. adolescents. Journal of the American Academy of Child and Adolescent Psychiatry, 49(10), 980–989.
Monetti, D. M., Whatley, M. A., Hinkle, K. T., Cunningham, T., Breneiser, J. E., & Kisling, R. (2011). A factor analytic study of the internet usage scale. Journal of Research in Education, 21(2), 14–23.
Montgomery, K. (2000). Youth and digital media: A policy research agenda. Journal of Adolescent Health, 27(2), 61–68.
Pahwa, B., & Schoech, D. (2008). Issues in the evaluation of an online prevention exercise. Journal of Technology in Human Services, 26(2/4), 259–281.
Panahi, S. (2015). Impact of modernization on development of adolescent: The media, culture, technology. Unique Journal of Pharmaceutical and Biological Sciences, ISSN 2347-3614.
Pearce, P. (2009). Psychoanalytic/psychodynamic developmental theories. S.l.: McGraw-Hill Education.
Piaget, J. (1966). The origin of intelligence in children. New York: International Universities Press Inc.
Rogers, D. (1969). Studies in adolescence: A book of readings in adolescent development. II. New York: Macmillan.
Shah, B., Parhee, R., Kumar, N., Khanna, T., & Singh, R. (2005). Mental health research in India. New Delhi: Indian Council of Medical Research.
Skinner, H., Biscope, S., Poland, B., & Goldberg, E. (2003). How adolescents use technology for health information: Implications for health professionals from focus group studies. Journal of Medical Internet Research, 5(4), 32.
Steinberg, L., & Morris, A. S. (2001). Adolescent development. Annual Review Psychologists, 52, 83–110.
The-Pennsylvania-Child-Welfare-Training-Program. (2005). Child and adolescent development. S .l., Mechanicsburg: University of Pittsburg.
Thijs, J.T., & Verkuyten, M. (2008). Peer victimization and academic achievement in a multiethnic sample: The role of perceived academic self-efficacy. Journal of Educational Psychology, 100(4), 754–764.
Thomas, M. K.-K. (2013). Predicting students’ confidence: How teacher feedback and other sources influence self-efficacy in mathematics classrooms. S.l.: The University of Kentucky.
Thomee, S., Harenstam, A., & Hagberg, M. (2011). Mobile phone use and stress, sleep disturbances, and symptoms of depression among young adults—A prospective cohort study. BMC Public Health, 11, 66. https://doi.org/10.1186/1471-2458-11-66.
Usher, E. L., & Pajares, F. (2008). Self-efficacy for self-regulated learning: A validation study. Educational and Psychological Measurement, 68, 443–463.
Vyas, S., & Kumaranayake, L. (2006). Constructing socio-economic status indices: How to use principal components analysis. Health policy and planning, 21(6), 459–468.
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The paper is based on my Ph.D. thesis. I acknowledge the support provided by the University of the South Pacific, Fiji, for conducting the research and financial assistance. The usual disclaimer applies.
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Mandal, S. (2020). ICT Exposure and Its Relationship with Academic Self-efficacy and Achievement of Adolescent Students: The Field-Level Study in India and Fiji. In: Maiti, D., Castellacci, F., Melchior, A. (eds) Digitalisation and Development. Springer, Singapore. https://doi.org/10.1007/978-981-13-9996-1_16
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