SUPERVISION AND TEACHING IN EDUCATION: HISTORICAL DEVELOPMENT AND CONTEMPORARY TRANSFORMATION IN THE DIGITAL AGE
Author: Apostolos Karaoulas
ABSTRACT
This study examines the meeting of pedagogical thought and technological innovation, focusing on the role of artificial intelligence in the evolution of education and the necessary reconfiguration of pedagogical practice within the contemporary European context. From a historical perspective, education has always been a field of relationships and dialogue, with technology emerging in various periods as a tool for reorganization rather than a replacement of the human factor. The European history of education, shaped by successive socially and politically transformed environments, from the educational restructuring of the 19th century to the post-war period of European integration, highlights the ever-increasing significance of the pedagogical value of the human element alongside the integration of new technologies and tools.
Artificial intelligence, as a modern tool, is introduced in this context not as a substitute for the teacher but as a means of enhancing pedagogical work. Throughout European educational history, emphasis on humanistic values has remained central, with new technologies expected to highlight these values and reshape educational processes. The teacher, as facilitator and guide, bears the responsibility of ensuring that artificial intelligence does not distance the learning process from its humanistic core, but rather strengthens it, maintaining its connection to the values of respect, ethics, and democracy.
The study combines contemporary theoretical analyses with historical approaches to European educational reforms, emphasizing the timeless necessity of re-evaluating the concept of pedagogy. The digital age, as reflected in the European context, calls for reflection on the roles of the teacher and the student, who remain fundamental actors in the educational process despite the increasing use of technology.
Keywords: Pedagogical value, technological innovation, artificial intelligence, personalized teaching, supervision and teaching, digital teacher
REFERENCES
- Andrejevic, M. (2020). Automated Media. Routledge.
- Baker, R., & Siemens, G. (2014). Educational data mining and learning analytics. In R. K. Sawyer (Ed.), The Cambridge handbook of the learning sciences (pp. 253-272). Cambridge University Press.
- Baker, T., Smith, L., & Anissa, N. (2019). Educ-AI-tion rebooted? Exploring the future of artificial intelligence in schools and colleges. Nesta.
- Banks, J. A. (2016). Cultural diversity and education: Foundations, curriculum, and teaching. Routledge.
- Beetham, H., & Sharpe, R. (Eds.). (2019). Rethinking pedagogy for a digital age: Principles and practices of design (3rd ed.). Routledge.
- Biesta, G. (2011). Good education in an age of measurement: Ethics, politics, democracy. Routledge.
- Biesta, G. (2021). World- Centred Education: A View for the Present. Routledge.
- Biesta, G. (2011). Learning democracy in school and society: Education, lifelong learning, and the politics of citizenship. Springer Science & Business Media.
- Bowles, S., & Gintis, H. (1977). Schooling in capitalist America: Educational reform and the contradictions of economic life. Basic Books.
- Celik, I., Dindar, M., Muukkonen, H., et al. (2022). The promises and challenges of artificial intelligence for teachers: A systematic review of research. TechTrends, 66(6), 616–630. https://doi.org/10.1007/s11528-022-00715-y.
- Comenius, J. A. (1907). The great didactic of John Amos Comenius (M. W. Keatinge, Trans.). Adam and Charles Black. (Original work published 1657)
- Corral Granados, A. (2014). Vocational education and training – Summary of country information. European Agency for Special Needs and Inclusive Education
- Cuban, L. (1986). Teachers and Machines: The Classroom Use of Technology Since 1920. Teachers College Press.
- Cuban, L. (2013). Inside the Black Box of Classroom Practice: Change Without Reform in American Education. Harvard University Press.
- Dewey, J. (1938). Experience and education. Kappa Delta Pi, Macmillan Publishing Co Inc.
- Feenberg, A. (1991). Critical Theory of Technology. Oxford University Press.
- Foucault, M. (1977). Discipline and Punish: The Birth of the Prison. Pantheon Books.
- Freinet, C. (1947). L’ éducation du travail. Cannes. [In French]
- Freire, P. (1996). Pedagogy of the Oppressed. Penguin.
- Friesen, N. (2011). The place of the classroom and the space of the screen: Relational pedagogy and internet technology. Peter Lang.
- Gellner, E. (2009). Nations and nationalism (2nd ed.). Cornell University Press.
- Giroux, H. A. (2020). On Critical Pedagogy. Bloomsbury Academic.
- Grant, L. (2022). Reconfiguring education through data: How data practices reconfigure teacher professionalism and curriculum. In A. Hepp, J. Jarke, & L. Kramp (Eds.), New perspectives in critical data studies (pp. 195–213). Palgrave Macmillan. https://doi.org/10.1007/978-3-030-96180-0_10
- Green, A. (1990). Education and state formation: The rise of education systems in England, France and the USA. Macmillan.
- Hamilton, E. R., Rosenberg, J. M., & Akcaoglu, M. (2016). The Substitution Augmentation Modification Redefinition (SAMR) model: A critical review and suggestions for its use. TechTrends, 60(5), 433–441. https://doi.org/10.1007/s11528-016-0091-y.
- Holmes, W., Bialik, M., & Fadel, C. (2019). Artificial intelligence in education: Promises and implications for teaching and learning. The Center for Curriculum Redesign
- Holmes, W., Persson, J., Chounta, I.-A., Wasson, B., & Dimitrova, V. (2022). Artificial intelligence and education: A critical view through the lens of human rights, democracy, and the rule of law. Council of Europe
- Holmes, W., Porayska-Pomsta, K., Holstein, K., Sutherland, E., Baker, T., Buckingham Shum, S., Santos, O. C., Rodrigo, M. T., Cukurova, M., Bittencourt, I. I., & Koedinger, K. R. (2022). Ethics of AI in education: Towards a community-wide framework. International Journal of Artificial Intelligence in Education, 32(2), 504-526. https://doi.org/10.1007/s40593-021-00239-1
- Illich, I. (1971). Deschooling Society. Harper & Row.
- Kitchin, R. (2016). Thinking critically about and researching algorithms. Information, Communication & Society, 20(1), 1-16. https://doi.org/10.1080/1369118X.2016.1154087
- Knox, J. (2020). Artificial intelligence and education in China. Learning, Media and Technology, 45(3), 298–311. https://doi.org/10.1080/17439884.2020.1754236.
- Kolb, D. A. (1984). Experiential learning: Experience as the source of learning and development. Prentice Hal
- Kress, G. (2010). Multimodality: A Social Semiotic Approach to Contemporary Communication. Routledge.
- Laurillard, D. (2012). Teaching as a design science: Building pedagogical patterns for learning and technology. Routledge.
- Le Goff, J. (2005). The birth of Europe (1st ed.). Blackwell Publishing.
- Luckin, R. (2018). Machine learning and human intelligence: The future of education for the 21st century. UCL Institute of Education Press.
- Luckin, R., Holmes, W., Griffiths, M., & Forcier, L. B. (2016). Intelligence unleashed: An argument for AI in education. Pearson.
- Luckin, R., Holmes, W., Griffiths, M., & Forcier, L. B. (2016). Intelligence unleashed: An argument for AI in education. Pearson.
- Marrou, H.-I. (1948). Histoire de l’éducation dans l’Antiquité. Seuil. [In French]
- Mezirow, J. (1991). Transformative dimensions of adult learning. Jossey-Bass.
- Mincu, M. E. (2012). Personalisation of education in contexts: Policy critique and theories of personal improvement. Sense Publishers
- Montessori, M. (1912). The Montessori method: Scientific pedagogy as applied to child education in “The Children’s Houses” (A. E. George, Trans.). Frederick A. Stokes Company. (Original work published 1909).
- Noddings, N. (2005). The challenge to care in schools: An alternative approach to education (2nd ed.). Teachers College Press.
- O’Neil, C. (2016). Weapons of math destruction: How big data increases inequality and threatens democracy. Crown Publishing Group.
- Philpott, C. (2014). Theories of professional learning: A critical guide for teacher educators. Routledge.
- Saavedra, A., & Opfer, V. D. (2012). Learning 21st-century skills requires 21st-century teaching. Phi Delta Kappan, 94(2), 8-13. https://doi.org/10.2307/41763587.
- Seldon, A., & Adiboye, O. (2018). The fourth education revolution: Will artificial intelligence liberate or infantilise humanity. University of Buckingham Press.
- Selwyn, N. (2019). Should robots replace teachers? AI and the future of education (1st ed.). Polity
- Selwyn, N. (2021). Education and technology: Key issues and debates (3rd ed.). Bloomsbury Academic.
- Sennett, R. (2009). The Craftsman. Yale University Press.
- Tomlinson, C. A. (2001). How to differentiate instruction in mixed-ability classrooms. ASCD.
- Vygotsky, L. S., & Cole, M. (1978). Mind in society: Development of higher psychological processes. Harvard University Press.
- Wenger, E. (1998). Communities of practice: Learning, meaning, and identity. Cambridge University Press.
- Williamson, B. (2017). Big data in education: The digital future of learning, policy and practice (1st ed.). SAGE Publications
- Williamson, B., & Piattoeva, N. (2018). Objectivity as standardization in data-scientific education policy, technology and governance. Learning, Media and Technology, 44(1), 64–76. https://doi.org/10.1080/17439884.2018.1556215
- Woolf, B. P. (2008). Building intelligent interactive tutors: Student-centered strategies for revolutionizing e-learning. Morgan Kaufmann.