Permanent record · RIR–3018
Mapping Future Educational Landscapes Through Causal Layered Analysis of Contemporary Fiction Narratives
Causal layered analysis of fiction provides a unique lens for uncovering deep-seated assumptions about the future of education. Future research could expand this analysis to include diverse cultural perspectives on AI-driven learning.
How do underlying myths and metaphors in education fiction shape current perceptions of AI in learning?
Knowledge gap
What remains worth asking
The source suggests that while fiction analysis is useful, it remains useful to test how these narrative layers correlate with actual educational policy shifts.
Potential contribution
Why it may matter
This research provides a deeper understanding of the cultural drivers influencing educational technology adoption.
Academic placement
OECD fields and topic tags
Scope: Educational policy and cultural discourse on technology. · Method signals: Causal Layered Analysis, Content analysis, Narrative inquiry
Possible study pathways
One question, different levels
Educational futures and narrative analysis
Cultural studies of AI in education
Qualification signal
80/100
- Focus on the intersection of narrative and policy.
- Open-access scholarly source and DOI metadata verified
Provenance
Research Idea Registry curation
- DOI and bibliographic metadata independently resolved
- Open-access status verified
- The research direction is transparently marked as AI-inferred
APA 7 source
Gidiotis, I. (2026). Speculative futures of artificial intelligence in education: A causal layered analysis of education fiction. Futures, 176, 103762. https://doi.org/10.1016/j.futures.2026.103762
Paper abstract and discussion context; AI-inferred direction
Open source ↗