Permanent record
RIR-3018 · Logged 13 July 2026
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.
In plain words
Stories about schools and learning carry hidden beliefs about the future. Looking beneath the surface of today's fiction, this study asks how deeper myths and images in those stories shape how people see artificial intelligence in education.
Primary research question
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
Academic fields and topic tags
Study frame: Educational policy and cultural discourse on technology. · Method signals: Causal Layered Analysis, Content analysis, Narrative inquiry
Possible study pathways
One question, different levels
Research master’s
Educational futures and narrative analysis
Doctoral
Cultural studies of AI in education
- originality
- Moderate
- methodology
- Moderate
- Data access
- Accessible
- ethics
- Accessible
Quality and audit
80/100 quality
Safeguard-based audit was not recorded under the prior standard.
- Focus on the intersection of narrative and policy.
- Open-access scholarly source and DOI metadata verified
This older record can be checked against the current standard on request. It changes only if every academic gate and independent safeguard passes.
Sign-in required · uses one AI creditProvenance
Research Idea curation
- DOI and bibliographic metadata independently resolved
- Open-access status verified
- The research direction is transparently marked as AI-inferred
The public contributor code contains no name or account email.
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
This is an AI-inferred direction. The source authors did not state it as a recommendation.
Open source ↗