Kucirkova, Natalia;
Leaton Gray, Sandra;
(2023)
Beyond Personalization: Embracing Democratic Learning Within Artificially Intelligent Systems.
Educational Theory
10.1111/edth.12590.
(In press).
Preview |
Text
Leaton Gray_Educational Theory - 2023 - Kucirkova - Beyond Personalization Embracing Democratic Learning Within Artificially.pdf Download (354kB) | Preview |
Abstract
This essay explains how, from the theoretical perspective of Basil Bernstein's three “conditions for democracy,” the current pedagogy of artificially intelligent personalized learning seems inadequate. Building on Bernstein's comprehensive work and more recent research concerned with personalized education, Natalia Kucirkova and Sandra Leaton Gray suggest three principles for advancing personalized education and artificial intelligence (AI). They argue that if AI is to reach its full potential in terms of promoting children's identity as democratic citizens, its pedagogy must go beyond monitoring the technological progression of personalized provision of knowledge. It needs to pay more careful attention to the democratic impact of data‐driven systems. Kucirkova and Leaton Gray propose a framework to distinguish the value of personalized learning in relation to pluralization and to guide educational researchers and practitioners in its application to socially just classrooms.
| Type: | Article |
|---|---|
| Title: | Beyond Personalization: Embracing Democratic Learning Within Artificially Intelligent Systems |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1111/edth.12590 |
| Publisher version: | https://doi.org/10.1111/edth.12590 |
| Language: | English |
| Additional information: | This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made. http://creativecommons.org/licenses/by-nc-nd/4.0/ |
| Keywords: | Personalization; artificial intelligence (AI); learning; teaching; digital technology |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Education UCL > Provost and Vice Provost Offices > School of Education > UCL Institute of Education UCL > Provost and Vice Provost Offices > School of Education > UCL Institute of Education > IOE - Curriculum, Pedagogy and Assessment |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10179023 |
Loading...
Loading...Loading...Loading...Archive Staff Only
 |
View Item |
