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Postphenomenological Study: Using Generative Knowing and Science Fiction for Fostering Speculative Reflection on
Ahreum Lim1, Aliki Nicolaides2, Xiaoou Yang3,4
1School for the Future of Innovation in Society, Arizona State University, PO Box 876002, Tempe, AZ, 85287-6002, USA. ahreumli@asu.edu.
Integrating participatory inquiry and speculative thinking in AI education can foster sociotechnical reflection. This approach challenges rigid engineering norms by encouraging students to reimagine human-technology relationships through media analysis and AI nudge experiments.
Area of Science:
- Educational Technology
- Artificial Intelligence Ethics
- Sociotechnical Studies
Background:
- Traditional AI education often overlooks the sociotechnical implications of AI.
- There is a need for pedagogical approaches that foster critical reflection on human-technology interactions.
Purpose of the Study:
- To explore the integration of participatory inquiry and speculative thinking in AI education.
- To examine how students engage with AI nudges within an experimental setting.
- To investigate the potential of science fiction and co-inquiry for fostering sociotechnical reflection.
Main Methods:
- A media-enhanced co-inquiry approach using science fiction films.
- Introduction of AI nudges during time-constrained, interdependent assembly tasks.
- Postphenomenological analysis of focus group interview data.
Main Results:
- Student responses to AI nudges reflected a competitive engineering culture, promoting task-driven adaptation.
- Moments of attunement to material conditions indicated speculative thinking's potential to renegotiate engineering rationality.
- Speculative inquiry disrupted dominant, often unexamined, AI conceptualizations within the engineering community.
Conclusions:
- Participatory inquiry and speculative thinking are crucial for a cultural shift in engineering education.
- Embracing these practices can foster sociotechnical reflection and reimagine human-technology relations.
- AI education should move beyond technical training to include critical examination of AI's societal impact.
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