Technological trends and challenges for education
Keywords:
automation, machine learning, labour market demand, educational methods, information technology revolutionAbstract
As we approach the end of the 2010s, the great potential of automation enabled by the exponential development of computing power becomes clearer and clearer. It is expected that the latest revolution of automation will completely change the structure of employment, and will have a major effect on the demand of labour even in the short term. The demand for some new skills has increased significantly, and a great number of new jobs and tasks is emerging. The education system has to adapt to these developments, as it has traditionally played a key role in the shaping of the labour market supply. Our study first highlights the main technological trends and the expected future developments, and then it concludes that the education system should concentrate on the training of social skills, and on methods that focus on problem solving, and enable personalised learning (letting students study at their own pace).
References
ACEMOGLU, D. − AUTOR, D. (2011): Skills, Tasks and Technologies: Implications for Employment and Earnings. In: Handbook of Labor Economics, Volume 4B (Ashenfelter, O. - Card, D. szerk.). North Holland, 1043-1171.
BARTHA, Z. (2016): A Moore-törvény és a jövő gazdasága. In. Tanulmányok Tóthné Szita Klára tiszteletére: A Miskolci Egyetem Gazdaságtudományi Karának jubileumi tanulmánykötete (Nagy, Z - Horváth, K). Miskolc: Miskolci Egyetem, 18-27.
BEERS, K. (2010): The 2009 NOTE Presidential Address - Sailing over the Edge: Navigating the Uncharted Waters of a World Gone Flat. Research in the Teaching of English (44), 3, 340-352.
BURNING GLASS TECHNOLOGIES (2015): The Human Factor: The Hard Time Employers Have Finding Soft Skills. 2015. November
CASTROUNIS, A. (2016): Artificial Intelligence, Deep Learning, and Neural Networks, Explained. https://www.kdnuggets.com/2016/10/artificial-intelligence-deep-learning-neural-networks-explained.html Letöltve: 2017. december 12.
DEMING, D.J. (2017): The growing importance of social skills in the labor market. Working Paper 21473, National Bureau of Economic Research, NBER Working Paper Series
EC (2016): The Future of Work. Skills and Resilience for a World of Change. European Political Strategy Centre (EPSC), Issue 13 / 2016 10 June
FORD, M. (2015): Rise of the robots. Technology and the Threat of a Jobless Future. Basic Books, New York
FREELANCERS UNION (2016): Freelancing in America: A National Survey of the New Workforce. An independent study commissioned by Freelancers Union & Elance-oDesk
FREY, C. B. − OSBORNE, M. A. (2017): The future of employment: How susceptible are jobs to computerisation? Technological Forecasting and Social Change (114), január, 254-280.
FULLER, S. H. – MILLETT, L. I. (2011): Computing Performance: Game Over or Next Level? Computer (44), 1, 31-38.
GALLUP (2016): Great Jobs. Great Lives. The Value of Career Services, Inclusive Experiences and Mentorship for College Graduates. Gallup, Washington
GENERAL ASSEMBLY & BURNING GLASS TECHNOLOGIES (2015): BLURRING LINES: How Business and Technology Skills Are Merging to Create High Opportunity Hybrid Jobs. http://burning-glass.com/research/hybrid-jobs/
GRACE, K. − SALVATIER, J. − DAFOE, A. − ZHANG, B. & EVANS, O. (2017): When Will AI Exceed Human Performance? Evidence from AI Experts. Megjelenés alatt, https://arxiv.org/abs/1705.08807 Letöltve: 2017. november 23.
GUARDIAN (2015): Girl, 12, achieves maximum Mensa IQ test score. https://www.theguardian.com/society/2015/sep/02/girl-12-wins-maximum-mensa-iq-test-score Letöltve: 2017. december 12.
HANÁK, ZS. (szerk.) (2007): A kooperatív módszertan elméleti és gyakorlati alapjai. anárképzési és Tudástechnológiai Kar, Eger
HATHAWAY, I. − MURO, M. (2016): Tracking the gig economy: New numbers. Brookings Institutions, October 13, 2016 https://www.brookings.edu/research/tracking-the-gig-economy-new-numbers/ (letöltés dátuma: 2018. január 5.)
HECKMAN, J.J. − KAUTZ, T. (2013): Fostering and Measuring Skills: Interventions that Improve Character and Cognition. NBER Working Paper Series, Working Paper 19656. National Bureau of Economic Research http://www.nber.org/papers/w19656
HEMINGWAY, E. (1960): Fiesta (fordította Déry Tibor). Budapest: Szépirodalmi Könyvkiadó.
ILO (2016): Non-Standard Employment around the World. Understanding challenges, shaping prospects. International Labour Organization, Geneva
JAIMOVICH, N. -− SIU, H. E. (2012): The Trend is the Cycle: Job Polarization and Jobless Recoveries. NBER Working Paper No. 18334, http://www.nber.org/papers/w18334
LAWRENCE F. − KATZ, L.F. − KRUEGER, A.B. (2016): The Rise and Nature of Alternative Work Arrangements in the United States, 1995-2015. Working Paper #603 Princeton University Industrial Relations Section September 2016 http://arks.princeton.edu/ark:/88435/dsp01zs25xb933
LEVY, F. − MURNANE, R. J. (2004): The New Division of Labor How Computers Are Creating the Next Job Market. Princeton: Princeton University Press.
LIPTÁK K. (2014b): Változó munkaerőpiac?! Munkaerő-piaci előrejelzés az Észak-magyarországi régióban, Területi Statisztika 54(3) pp. 220-236.
LIPTÁK, K. (2014a): Az Észak-magyarországi régió munkaerő-piaci folyamatainak vizsgálata Competitio 13(2) pp. 84-102.
MALEK, N.P., − HALL, J.C., − HODGES, C. (2014): A Review and Analysis of the Effectiveness of Alternative Teaching Methods on Student Learning in Economics. No 14-27, Working Papers from Department of Economics, West Virginia University https://econpapers.repec.org/paper/wvuwpaper/14-27.htm
MARR, B. (2016): The Rise Of Thinking Machines: How IBM's Watson Takes On The World. Forbes, https://www.forbes.com/sites/bernardmarr/2016/01/06/the-rise-of-thinking-machines-how-ibms-watson-takes-on-the-world/#6ed361941e43 Letöltve: 2017. december 12.
MGI (2016): Independent Work: Choice, Necessity, and the Gig Economy. McKinsey Global Institute (MGI). McKinsey & Company,
MITCHIE, D. (1973): Machines and the Theory of Intellifence. Nature (241), 1973. február 23., 507-512.
MITRA, S. − CRAWLEY, E. (2014): Effectiveness of Self-Organised Learning by Children: Gateshead Experiments. Journal of Education and Human Development September 2014, Vol. 3(3), pp. 79-88.
MOORE, G. E. (1965): Cramming more components onto integrated circuits. Electronics (38), 8, 114-117.
MÜLLER, V. C. – BOSTROM, N. (2016): Future progress in artificial intelligence: A Survey of Expert Opinion. In: Fundamental Issues of Artificial Intelligence (szerk: Müller, V. C.). Berlin: Springer, 555-572.
PEURA, P. (2009): Personalized Learning Paths, A method for promoting individual learning in large student groups. HundrED https://hundred.org/en/innovations/building-personalized-learning-paths (letöltés dátuma: 2018. január 5.)
RIX, S. MCELWEE, S. (2016): What happens if students are asked to learn Geography content, specifically Population, through SOLE? Other Education: The Journal of Educational Alternatives. Volume 5, Issue 1 pp. 30-54.
SCANS (1992): Learning a Living: A Blueprint for High Performance: A SCANS Report for America 2000. U.S. Department of Labor, Secretary’s Commission on Achieving Necessary Skills (SCANS), Washington.
SELINGO, J.J. (2017): The future of work and what it means for higher education. Part two: How higher education can better meet the demands of the 21st century workforce. http://quantitative.emory.edu/documents/news-articles/article-Future-of-Work-Part-II.pdf
SIMONITE, T. (2016). Intel Puts the Brakes on Moore’s Law. MIT Technology Review, https://www.technologyreview.com/s/601102/intel-puts-the-brakes-on-moores-law/ Letöltve: 2017. december 12.
TÓTH, I.J., NÁBELEK, F., STURCZ, A. (2017): Az automatizáció munkaerő-piaci hatásai - Járási munkaerő-piacok automatizációs kitettségének becslése. MKIK Gazdaság- és Vállalkozáskutató Intézet, Kutatási Füzetek 2016/4, Budapest
VARANNAI, I., SASVÁRI, P., URBANOVICS, A. (2017): The Use of Gamification in Higher Education: An Empirical Study. International Journal of Advanced Computer Science and Applications 8(10) pp. 1-6.
WEF (2015): New Vision for Education: Unlocking the Potential of Technology. World Economic Forum, Switzerland
WEF (2016a): The Future of Jobs. Employment, Skills and Workforce Strategy for the Fourth Industrial Revolution. January, 2016, World Economic Forum
WEF (2016b): New Vision of Education: Fostering Social and Emotional Learning through Technology. World Economic Forum, Switzerland
ZME Science (2017): Your smartphone is millions of times more powerful than all of NASA’s combined computing in 1969. https://www.zmescience.com/research/technology/ smartphone-power-compared-to-apollo-432/ Letöltve: 2017. november 24.
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