Pedagogical assessment of augmentation

Authors

DOI:

https://doi.org/10.15587/2519-4984.2022.254727

Keywords:

information technologies, artificial intelligence, augmentation, humanitarian vector of education, employment

Abstract

The education challenges in the information technology progress are considered. In particular, the problem of artificial intelligence is equal to humans and thus poses a challenge to the teaching system. The augmentation concept as the human and machine’s interaction that enhances the capabilities of each party is analyzed. We assessed these opportunities as the ability to create more value and get more personal benefit on the economic plane. But a worthy place for a human - to be above technology. Purpose of the study is to provide a pedagogical assessment of augmentation. The analysis of futurological research on human-machine synergy gave the opportunity to determine the social consequences and educational prospects of such development. It is questioned the prospect of singularity, the point at which artificial intelligence will match or exceed human intelligence. We will become dependent on «the society of the program», but it will not depend on us. It causes the spontaneous progress of techno-science. On the study basis (questionnaire), there were identified the predominant models of pedagogical interaction in traditional and online learning; described changes in teachers’ behavior under the influence of computer technology. We emphasized the threats of computer-mediated learning: «cool» [cold] environment according to Jean Baudrillard, «robot» as a pedagogical communication model, hyper-formalization of the educational process. But the concept of increase can be useful in the short term. The results of the study confirm the conclusions about the need to humanize education, balance technology and live communication. This is possible through the appeal to live communication as a «hot» system, inclusion of the classical literature, folklore in the digital learning tools narratives, the soft use of design thinking and principles of game design in teaching, leaving free space for human creativity, choice, decisions that contradict the logic of machines

Author Biographies

Mykola Chursin, Odesa Polytechnic National University

Doctor of Pedagogical Sciences, Professor

Department of Information Activity and Media Communication

Galyna Shevchenko, Volodymyr Dahl East Ukrainian National University

Doctor of Pedagogical Sciences, Professor, Head of Department, Director, Member of NAPS of Ukraine

Research Institute of Human Spiritual Development

Department of UNESCO "Spiritual and Cultural Values of Education"

Departments of Pedagogy

Tetiana Antonenko, Volodymyr Dahl East Ukrainian National University

Doctor of Psychology, Professor

Departments of Pedagogy

Tetiana Luhova, Odesa Polytechnic National University

PhD, Associate Professor

Departments of Information Activity and Media Communications

References

  1. Kutyrev V. A. Naskolko razumna «sfera razuma»? // Filosofiia biologii: vchera, segodnia, zavtra (Pamiati Reginy Semenovny Karpinskoi). Moscow.
  2. Luhova, T. A., Melnyk, S. P. (2012). Cyber learning or kool education, in Ways of implementation of credit-modular system organizations of the educational process and test forms student knowledge control. Proceedings of the scientific and methodological seminar. Odessa, 6, 65–68.
  3. Hawking, S.; Murray, J. (Ed.) (2018). Brief Answers to the Big Questions. An Hachette UK company.
  4. Acemoglu, D., Restrepo, P. (2018). Artificial Intelligence, Automation, and Work. University of Chicago Press. doi: http://doi.org/10.3386/w24196
  5. Camilleri, P. (2018). Robot-proof: higher education in the age of artificial intelligence. Journal of Education for Teaching, 44 (4), 519–520. doi: http://doi.org/10.1080/02607476.2018.1500792
  6. Robinson, M. F. (2019). Artificial Intelligence in Hiring: Understanding Attitudes and Perspectives of HR Practitioners. Delaware: Wilmington University.
  7. Luhova, T. A.; Bernardes, O., Amorim, V. (Eds.) (2022). Serious Games for Recruitment in the New Humanism. Handbook of Research on Promoting Economic and Social Development Through Serious Games. IGI Global, 17, 375–394.
  8. Veluchamy, R., Sanchari, C., Gupta, S. (2021). Artificial intelligence within recruitment: eliminating biases in human resource management. Artificial intelligence, 8 (3).
  9. Agrawal, A., Joshua, G., Goldfarb, A. (2018). Prediction machines: the simple economics of artificial intelligence. Harvard Business Press, 272.
  10. Scherer, M. U. (2015). Regulating artificial intelligence systems: Risks, challenges, competencies, and strategies. Harvard Journal of Law & Technology, 29 (2). doi: http://doi.org/10.2139/ssrn.2609777
  11. Shanahan, M. (2015). The technological singularity. Cambridge: The MIT Press. doi: http://doi.org/10.7551/mitpress/10058.001.0001
  12. Webster, C., Ivanov, S.; George, B., Paul, J. (Eds.) (2019). Robotics, artificial intelligence, and the evolving nature of work. Business Transformation in Data Driven Societies. Cham: Palgrave Macmillan, 127–143. doi: http://doi.org/10.1007/978-3-030-08277-2_8
  13. Lehman, T. (2015). Countering the modern Luddite impulse. Independent Review, 20 (2), 265–283.
  14. McClure, P. K. (2018). “You’re Fired,” Says the Robot: The Rise of Automation in the Workplace, Technophobes, and Fears of Unemployment. Social Science Computer Review, 36 (2), 139–156. doi: http://doi.org/10.1177/0894439317698637
  15. Giarini, O., Liedtke P. M. (2006). Abstracts from The Employment Dilemma and the Future of Work. European Papers on the New Welfare. Trieste – Milan – Geneva: The Risk Institute, 6, 98–124. Available at: http://www.newwelfare.org/eng/wp-content/pdf/N6.pdf#page=98
  16. Aoun, J. (2017). Robot-proof: higher education in the age of artificial intelligence. Cambridge: MIT press. doi: http://doi.org/10.7551/mitpress/11456.001.0001 .
  17. Field, J. (2001). Lifelong education. International Journal of Lifelong Education, 20 (1-2), 3–15. doi: http://doi.org/10.1080/09638280010008291
  18. Gee, J. P. (2003). What video games have to teach us about learning and literacy. New Yor: Palgrave Macmillan.
  19. Luhova, T. A. (2021). Game-design-oriented approach to development of educational disciplins of higher educational institutions. Information Technologies and Learning Tools, 81 (1), 235–254. doi: http://doi.org/10.33407/itlt.v81i1.3265
  20. Luhova, T. (2020). Narrative and storytelling in the knowledge structure of the educational business video games as factors of the synergy of information technologies and spiritually-oriented pedagogy. Open Educational E-Environment of Modern University, 8, 42–59. doi: http://doi.org/10.28925/2414-0325.2020.8.6
  21. Kelly, K. (2012). Better Than Human: Why Robots Will – And Must – Take Our Jobs. Gadget Lab, 12. Available at: https://www.wired.com/2012/12/ff-robots-will-take-our-jobs/
  22. Haig, M. (2019). Notes on a nervous planet. Great Britain. Canongate Books.
  23. Alec, R. (2017). The industries of the future. New York: Simon &Schuster, 320.
  24. Agofarov, T. (2019). Artificial intelligence – for and against. Computer review. Blogs. Available at: https://ko.com.ua/iskusstvennyj_intellekt_za_i_protiv_130717
  25. Davenport, T., Kirby, J. (2016). Only humans need apply: Winners and losers in the age of smart machines. New York: Harper Business, 288.
  26. Barash, L. (2016). Clouds, data, Internet of things and all that. Computer review.
  27. Weizsäcker, E. von, Wijkman, A. (2018). Come On! Capitalism, Short-termism, Population and the Destruction of the Planet A Report to the Club of Rome, prepared for the Club of Rome’s 50th Anniversary in 2018. Springer Science+Business Media LLC.
  28. Liubimskii, E. Z. (2006). Towards a Global Program Society. Materials for the meeting of the club "Red Square". Topic of the meeting: "The advent of the virtual world: the Internet galaxy". Moscow: Club "Krasnaia ploshchad", 20–25.
  29. Carr, N. (2014). The glass cage: automation and us. WW Norton & Co.
  30. Norman, D. A. (2005). Human-centered design considered harmful. Interactions, 12 (4), 14–19. doi: http://doi.org/10.1145/1070960.1070976
  31. Kang, Z., Dragoo, M. R., Yeagle, L., Shehab, R. L., Yuan, H., Ding, L. et. al. (2018). Adaptive learning pedagogy of universal design for learning (UDL) for multimodal training. Journal of Aviation / Aerospace Education & Research, 27 (1), 23–48. doi: http://doi.org/10.15394/jaaer.2018.1752
  32. Engelbart, D. (1962). Augmenting human intellect: A conceptual framework. Menlo Park. Available at: https://apps.dtic.mil/sti/pdfs/AD0289565.pdf
  33. Harari, Y. N. (2016). Homo Deus: A brief history of tomorrow. Random House.
  34. Otlet, P. (1934). Traité de documentation: le livre sur le livre: théorie et pratique. Bruxelles: Editiones Mundaneum; Palais Mondial.
  35. ISO. (2016). ISO. Retrieved 2022, from ISO 15489-1:2016 Information and documentation – Records management – Part 1: Concepts and principles. Available at: https://www.iso.org/ru/standard/62542.html
  36. Luhova, T. A., Akimov, O. Y. (2013). Evolution of electronic document management systems of enterprises. Library Science. Documentation. Informology, 1, 16–20.
  37. Wiener, N. (1964). Machines Smarter than Men? Interview with Dr. Norbert Wiener, Noted Scientist. U.S. News & World Report, 84–86.
  38. Iusupov, I. M. (2022). Test card of communicative activity. Methodology for diagnosing the model of pedagogical communication.
  39. Iusupov, I. M. (2004). Metodika diagnostiki modeli pedagogicheskogo obshcheniia. Pedagogicheskaia psikhologiia: metody i testy. Samara, 137–139.
  40. Baudrillard, J. (2017). Symbolic exchange and death. SAGE Publications Ltd. doi: http://doi.org/10.4135/9781526401496

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Published

2022-03-31

How to Cite

Chursin, M., Shevchenko, G., Antonenko, T., & Luhova, T. (2022). Pedagogical assessment of augmentation. ScienceRise: Pedagogical Education, (2(47), 13–19. https://doi.org/10.15587/2519-4984.2022.254727

Issue

No. 2(47) (2022)

Section

Pedagogical Education

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Copyright (c) 2022 Mykola Chursin, Galyna Shevchenko, Tetiana Antonenko, Tetiana Luhova

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