“Frankenstein's Children”? Socialising modifications of the educational process in the age of artificial intelligence.
Abstract
RESEARCH OBJECTIVE: The aim is to provide a theoretical diagnosis of the impact of the pace of contemporary civilisational changes – which are consequences of the development of information technologies – on the specificity of modifications to the youth socialisation space and their impact on the forecasted changes to the educational model of the future.
THE RESEARCH PROBLEM AND METHODS: The research problem is contained in the question: To what extent does the leap in civilisation progress generated by the successive stages of the digital revolution modify young people’s socialisation process, creating new spaces and new realised patterns of educational interactions? A selective analysis of theoretical works and research reports from sociology, pedagogy, psychology, psychiatry, neuroscience and information technology was used as a research method, combining it with the results of my research work.
THE PROCESS OF ARGUMENTATION: The article analyses the new quality of the youth socialisation process taking shape in recent years and its effects in educational spaces, using selected elements of the conceptual model applied to analyses of the world of contemporary youth in times of accelerated civilisational change.
RESEARCH RESULTS: As a consequence of the development of new opportunities brought about by the dynamic development of information technologies, especially artificial intelligence systems, we are seeing the creation of new foundations for the socialisation process of young people, which is noticeably making its presence felt in educational spaces.
CONCLUSIONS, RECOMMENDATIONS AND APPLICABLE VALUE OF RESEARCH: The modifications to socialisation process of young people emerging in the wake of rapid civilisational change are contributing to the shaping of a new model of education for the future, and the existing one is beginning to lose its relevance. The development of appropriate mechanisms to continuously monitor the impact of AI systems on their users seems necessary in such a situation.
References
Andreassen, C.S. i Pallesen, S. (2014). Social network site addiction – an overview. Current Pharmaceutical Design, 20, 4053–4061. https://doi.org/10.2174/13816128113199990616
Andreassen, C.S., Pallesen, S. i Griffiths, M.D. (2017). The relationship between addictive use of social media, narcissism, and self-esteem: Findings from a large national survey. Addictive Behaviors, 64, 287–293. https://doi.org/10.1016/j.addbeh.2016.03.006
Bourdieu, P. (1986). The forms of capital. W: J.G. Richardson (red.), Handbook of theory and research for the sociology of education (s. 241–258). Greenwood.
Buckminster Fuller, R. (1981). Critical path. St Martins Press.
Carr, N (2011). The shallows: What the internet is doing to our brains. W.W. Norton & Company.
Chen, C. (2023). AI will transform teaching and learning. Let’s get it right. Stanford University.
Cheng, C. i Li, A.Y.-I. (2014). Internet addiction prevalence and quality of (real) life: A metaanalysis of 31 nations across seven world regions. Cyberpsychology, Behavior, and Social Networking, 17, 755–760. https://doi.org/10.1089/cyber.2014.0317
Couldry, N. i Hepp, A. (2017). The mediated construction of reality. Polity Press.
Eichelberger, W. (2023, 1 czerwca). Stres portalowy. Zwierciadło, 2119(6), 89–91.
Fazlagić, J. (red.). (2022). Sztuczna inteligencja (AI) jako megatrend kształtujący edukację. Jak przygotowywać się na szanse i wyzwania społeczno-gospodarcze związane ze sztuczną inteligencją? Instytut Badań Edukacyjnych.
Gardner, H. i Davis, K. (2013). The app generation: How today’s youth navigate identity, intimacy, and imagination in a digital world. Yale University Press.
Goralski, M.A. i Górniak-Kocikowska, K. (2019). Edukacja w dobie sztucznej inteligencji. Wola słuchania jako nowe wyzwanie pedagogiczne. Ethos, 32(1), 152–198. https://doi.org/10.12887/32-2019-1-125-11
Griffiths, M. (2019). The evolution of the ‘components model of addiction’ and the need for a confirmatory
approach in conceptualising behavioral addictions. Dusunen Adam the Journal of Psychiatry and Neurological Sciences, 32(3), 179–184. https://doi.org/10.14744/DAJPNS.2019.00027
Grimes, D.R. (2017, 4 grudnia). Echo chambers are dangerous – we must try to break free of our online bubbles. The Guardian. https://www.theguardian.com/science/blog/2017/dec/04/echo-chambers-are-dangerous-we-must-try-to-break-free-of-our-online-bubbles
Heersmink, R. (2016). The internet, cognitive enhancement, and the values of cognition. Minds and Machines, 26, 389–407. https://doi.org/10.1007/s11023-016-9404-3
Ito, J. (2017). Resisting reduction: A manifesto. designing our complex future with machines. Journal of Design and Science. https://doi.org/10.21428/8f7503e4
Jakima, S. i Mosiołek, A. (red.). (2022). Zaburzenia behawioralne i zaburzenia nawyków. Fundacja ETOH.
Klichowski, M. (2020). People copy the actions of artificial intelligence. Frontiers in Psychology, 11(1130). https://doi.org/10.3389/fpsyg.2020.01130
Klingberg, T. (2008). The overflowing brain: Information overload and the limits of working memory. Oxford University Press.
Kochanowska, E. (2020). Po co jest szkoła? Funkcje szkoły z perspektywy kandydatów do zawodu nauczyciela. Zeszyty Naukowe Wyższej Szkoły Humanitas. Pedagogika, 21, 79–94. https://doi.org/10.5604/01.3001.0014.5657
Kuruliszwili, S. (2021). Sztuczna inteligencja – nowe wyzwanie edukacyjne. Problemy Opiekuńczo-Wychowawcze, 605(10), 28–40. https://doi.org/10.5604/01.3001.0015.6653
Kurzweil, R. (2006). The singularity is near: When humans transcend biology. Penguin Books.
Lembke, A. (2021). Dopamine nation. finding balance in the age of indulgence. Headline.
Lopez-Fernandez, O. i Kuss, D.J. (2019). Harmful internet use – part I: Internet addiction and problematic use. Panel for the future science and technology. European Parliamentary Research Service.
Luckin, R. (2018). Machine learning and human intelligence: The future of education for the 21st century. UCL IOE Press.
Mead, M. (1970). Culture and commitment: A study of the generation gap. The Bodley Head.
Morańska, D. i Jędrzejko, M. (2013). Cyfrowi tubylcy. Socjopedagogiczne aspekty nowych technologii cyfrowych. Oficyna Wydawnicza ASPRA-JR.
Morrison, N. (2023, 20 maja). School leaders warn AI is A ‘real and present’ danger to education. Forbes. https://www.forbes.com/sites/nickmorrison/2023/05/20/school-leaders-warn-ai-is-a-real-and-present-danger-to-education/
Pariser, E. (2012). The filter bubble: What the internet is hiding from you. Penguin Books.
Rosen, C. (2004–2005). The age of egocasting. The New Atlantis, 7, 51–72. https://www.thenewatlantis.com/publications/the-age-of-egocasting
Sanbonmatsu, D.M., Strayer, D.L., Medeiros-Ward, N. i Watson, J.M. (2013). Who multi-tasks and why? Multi-tasking ability, perceived multi-tasking ability, impulsivity, and sensation seeking. PLoS ONE, 8(1): e54402. https://doi.org/10.1371/journal.pone.0054402
Seo, H.S., Jeong, E.K., Choi, S., Kwon, Y., Park, H.J. i Kim, I. (2020). Changes of neurotransmitters in youth with internet and smartphone addiction: A comparison with healthy controls and changes after cognitive behavioral therapy. American Journal of Neuroradiology, 41(7), 1293–1301. https://doi.org/10.3174/ajnr.A6632
Schiff, D. (2021). Out of the laboratory and into the classroom: The future of artificial intelligence in education. AI & Society, 36, 331–348. https://doi.org/10.1007/s00146-020-01033-8
Schwab, K. (2016, 14 stycznia). The fourth industrial revolution: What it means and how to respond. World Economic Forum. https://www.weforum.org/agenda/2016/01/the-fourth-industrial-revolution-what-it-means-and-how-to-respond/
Szpunar, M. (2018). Koncepcja bańki filtrującej a hipernarcyzm nowych mediów. Zeszyty Prasoznawcze, 61(2), 191–200. https://doi.org/10.4467/22996362PZ.18.013.9108
Twenge, J.M. (2017). IGen: Why today’s super-connected kids are growing up less rebellious, more tolerant, less happy–and completely unprepared for adulthood–and what that means for the rest of us. Atria Books.
Tzezana, R. (2017, 3 marca). Singularity: Explain it to me like I’m 5-years-old. Here’s how to understand the merger of humans and robots. Futurism. https://futurism.com/singularity-explain-it-to-me-like-im-5-years-old
Vincent-Lancrin, S. i van der Vlies, R. (2020). Trustworthy artificial intelligence (AI) in education: Promises and challenges. OECD Education Working Papers, 218. https://doi.org/10.1787/a6c90fa9-en
Vinge, V. (1993). The coming technological singularity: How to survive in the post-human era. W: NASA. Lewis research center. Vision-21: Interdisciplinary science and engineering in the era of cyberspace (s. 11–22). NASA. https://ntrs.nasa.gov/api/citations/19940022855/downloads/19940022855.pdf
Wrzesień, W. (2015). Pokoleniowość współczesnej polskiej młodzieży. Władza Sądzenia, 7, 37–55.
Young, K.S. i de Abreau, C.N. (2011). Internet addiction: A handbook and guide to evaluation and treatment. John Wiley & Sons Inc.
Zanetti, M., Iseppi, G. i Cassese, F. (2019). A “psychopathic” Artificial Intelligence: The possible risks of a deviating AI in education. Research on Education and Media, 11(1), 93–99. https://doi.org/10.2478/rem-2019-0013
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