Analysis of Information Technology Literacy Education Based on the Two-dimensional Frame Theory of Life Cycle
AUTHORS
Kokula Krishna Hari Kunasekaran,Association of Scientists, Developers and Faculties (ASDF), UK
ABSTRACT
In recent years, with information technology, cloud computing, big data, artificial intelligence, and other new technologies that surpass traditional learning forms and learning methods, people have put forward more ideas about the education paradigm. Since 1983, the U.S. Department of Education, social organizations, and groups have successively issued 62 policy documents on information technology literacy education. 33 effective policy documents were screened out based on the comparison of the strength of the relevance with the research topic and the argumentation of experts in the field. The research has established a two-dimensional analysis framework based on policy tool theory and technology standardization life cycle theory, with core keywords such as "information technology support" and "financial support" in the horizontal X-axis secondary index dimensions, and then the vertical Y-axis two The level indicator dimensions are classified again, supplemented by the software NVivo 11 to organize the text content analysis units, and present the overall classification and distribution status and data analysis of the code content units in the policy documents. The study found that the United States focuses on the application of supply-based policy tools and environmental policy tools while ignoring the application of demand-based policy tools. The development of information technology literacy education in the United States focuses on the development of knowledge acquisition and creation and development, weakening the development of the implementation period and the promotion period. The United States should apply policy tools in a balanced, coordinated manner according to different development stages, and apply policy tools in a diversified, differentiated, and combined manner according to development needs; scientific, systematic, and reasonable layout to ensure long-term effectiveness of policy tools.
KEYWORDS
Policy tools, Information technology literacy, Life cycle theory, Two-dimensional framework, Technical standardization
REFERENCES
[1] J. M. Mcwilliams, E. Meara, and A. M. Zaslavsky, “Differences in control of cardiovascular disease and diabetes by race, ethnicity, and education: U.S. trends from 1999 to 2006 and effects of medicare coverage,” Annals of Internal Medicine, vol.150, no.8, pp.505, (2009)
[2] G. Yuan, X. Ying, and X. Liu, “AI 2.0 and educational informationization: Highlights of the third U.S.-China smart education conference,” Techtrends, vol.62, no.4, pp.327-328, (2018)
[3] M. A. Burga, A. Arsyad, and M. Damopolii, “Accommodating the national education policy in Pondok Pesantren DDI Mangkoso: Study period of 1989-2018,” Islam Realitas Journal of Islamic and Social Studies, vol.5, no.1, pp.82, (2019)
[4] E. S. Kirsehen, et al., “Economic policy in our time,” Chicago: Rand McNally, pp.233,672, (1964)
[5] R. Rothwell and W. Zegveld, “Reindustrialization and technology,” London: Longman Group Limited, pp.104, (1985)
[6] L. M. McDonnell and R. F. Elmore, “Getting the job done: Alternative policy instruments,” Educational Evaluation and Policy Analysis, vol.9, pp.133-152, (1987)
[7] R. K. Woolthuis, M. Lankhuizen, and V. Gilsing, “A system failure framework for innovation policy design,” Technovation, vol.25, no.6, pp.609-619, (2005)
[8] M. Howlett and M. Ramesh, “Studying public policy: Policy cycles and policy subsystems,” American Political Science Association, vol.91, no.2, pp.548-580, (2009)
[9] E. Soderstrom, “Formulating a general standards life cycle,” Advanced Information Systems Engineering, vol.13, no.2, pp.263-275, (2004)
[10] M. Martin, F. Royne, and T. Ekvall, “Life cycle sustainability evaluations of bio-based value chains: Reviewing the indicators from a Swedish perspective,” Sustainability, vol.10, no.2, (2018)
[11] J. Wu, “Research on the innovation and entrepreneurship policy ecosystem of medical students in the new era,” Journal of Jinzhou Medical University (Social Science Edition), (2019)
[12] F. X. De Vaujany, V. V. Fomin, and S. Ha Ef Liger, “Rules, practices and information technology: A trifecta of organizational regulation,” Information Systems Research, vol.29, no.3, pp.755-773, (2018)
[13] M. C. Riddle, B. George, and A. Boulton, “Big topics for diabetes care in 2018: Clinical guidelines, costs of diabetes, and information technology,” Diabetes Care, vol.41, no.7, pp.1327-1329, (2018)