Speakers
Alina Pees
FernUniversität in Hagen, GermanyFlorence Lehnert
FernUniversität in Hagen, GermanyMaka Eradze
University of L’Aquila, ItalyStart
End
Exploring AI Futures Through a Value-Driven Framework
📅 Monday 18/05 10:30-12:00h
📍 Workshop Space B
🔎 Needs Analysis
AI is increasingly influencing teaching, learning, and institutional practices in higher education. For researchers in TEL, this raises not only technical and methodological questions, but also fundamental issues concerning values, responsibility, and the future of education. Although many researchers work with AI, systematic reflection on the normative assumptions and value implications embedded in AI-driven educational futures remains rare. In this workshop, participants critically explore which values are promoted, transformed, or challenged by AI-based technologies and how imagined AI futures shape understandings of good teaching, learning, and governance. By combining speculative methods with a value-driven analytical framework, participants work with design fiction artefacts to collaboratively analyse value tensions in AI-enhanced higher education. The workshop equips participants with a methodological approach to integrate value-oriented analysis into their own TEL research.
📒 Session Description
Introduction to speculative methods and design fiction methodology for exploring AI-enhanced futures
Explanation of the value-driven framework
In groups of 3-4:
- Groups receive a set of value-driven working cards representing the framework categories and a value mapping worksheet
- Selection of design fiction artifacts: Narrative scenarios and visual representation of educational futures are distributed among groups
Application of the framework:
- Individual work: reading & identification of values
Group work:
- Using value-driven working cards, groups map identified values to predefined framework categories.
Groups discuss:
- Which values appear in the artifacts?
- Where do interpretations contradict each other?
- Short group presentations summarizing their value mapping and discussions
Feedback: Participants’ assessments of the framework’s clarity, usefulness, and relevance for reflecting on AI-supported futures in higher education.
💡 Learning Objectives
By the end of the workshop, participants will be able to:
- Explain speculative methods as a research approach for exploring possible AI-enhanced futures of higher educationIdentify and articulate core value assumptions in AI-related higher education futures
- Apply a value-driven analytical framework to written narratives and visual representations of educational futures
- Critically assess the usefulness and limitations of a value-driven framework for TEL research and higher education policy


