at Google ScholarTitle data
Clemens, Iris:
Why knowledge about networks can help teachers and students to understand relationality and its consequences in the 21st century.
2025
Event: 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).
(Conference item: Conference
,
Speech with paper
)
Abstract in another language
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.
Further data
| Item Type: | Conference item (Speech with paper) |
|---|---|
| Refereed: | Yes |
| Keywords: | networks and relationality; emergence of positions; assessment of AI-based
knowledge |
| Institutions of the University: | Faculties > Faculty of Cultural Studies > Chair General Education Science > Chair General Education Science- Univ.-Prof. Dr. Iris Clemens |
| Result of work at the UBT: | Yes |
| DDC Subjects: | 300 Social sciences 300 Social sciences > 370 Education |
| Date Deposited: | 14 Jan 2026 06:44 |
| Last Modified: | 14 Jan 2026 06:44 |
| URI: | https://eref.uni-bayreuth.de/id/eprint/95570 |