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Clemens, Iris:
Why knowledge about networks can help teachers and students to understand relationality and its consequences in the 21st century.
2025
Veranstaltung: 4th International Conference on Innovation in Learning Instruction and Teacher Education
Theme: Education 4.0 and Artificial Intelligence: Paving the Way for Future Learning
, 13.12.-14.12.2025
, Hanoi (VNM).
(Veranstaltungsbeitrag: Kongress/Konferenz/Symposium/Tagung
,
Vortrag mit Paper
)
Abstract
AI is based on digital networks. At the same time, they contribute to and challenge the social networks humans live in today. Therefore, a basic understanding of both is essential for teacher to sensitize students to the world they live in. Digital and social networks are based on different processes of course, but their structure is explained with related concepts and terms.
To understand both, a relational intuition is needed, and basic insights in network dynamics and in recent concepts to explain them can help teacher and students understand recent
societies and attached challenges. As the relevance of relationality becomes more and more visible globally, this touches a basic competency. Humans have to realise that they are interwoven in hypercomplex social relations that form their positions within these networks, and that any position in a network enables and limits the activities that are possible from there. A profound understanding of relationality and its implications and constituting dynamics is a basic competence in the 21st century.
How do networks process? What are the basic components of a network, and how does science explain them and the dynamics between them? How do networks emerge, and how do relations produce certain positions? As a specific position always enable and block activity, it is very important to understand how positions emerge within the network. Network research explains these structures with concepts such as knots and edges, weak and strong ties, high and low connectivity, centrality etc. In my talk, I will address such questions and explain basic concepts of network research, and discuss, how an understanding of social networks can sensitize teachers and students for the structure of AI, its way of working, and problems it can create. This can be an important step for an informed assessment of AI-based knowledge.
Weitere Angaben
| Publikationsform: | Veranstaltungsbeitrag (Vortrag mit Paper) |
|---|---|
| Begutachteter Beitrag: | Ja |
| Keywords: | networks and relationality; emergence of positions; assessment of AI-based
knowledge |
| Institutionen der Universität: | Fakultäten > Kulturwissenschaftliche Fakultät > Lehrstuhl Allgemeine Erziehungswissenschaft > Lehrstuhl Allgemeine Erziehungswissenschaft - Univ.-Prof. Dr. Iris Clemens |
| Titel an der UBT entstanden: | Ja |
| Themengebiete aus DDC: | 300 Sozialwissenschaften 300 Sozialwissenschaften > 370 Bildung und Erziehung |
| Eingestellt am: | 14 Jan 2026 06:44 |
| Letzte Änderung: | 14 Jan 2026 06:44 |
| URI: | https://eref.uni-bayreuth.de/id/eprint/95570 |