Transformative sustainability education is the pedagogical approach that foregrounds relational, transdisciplinary, and experiential learning for socio-ecological change. According to PLOS Sustainability and Transformation, the article "From generating human capital to transformative education" traces how Spanish education law has shifted across three discursive periods from 1975 to the present. Evidano is an AI-powered qualitative data analysis platform that helps researchers analyze interviews, open-ended surveys, and documents. This post explains the PLOS study’s methods and key dates, highlights two verbatim quotes from the source, and shows concrete ways AI-enabled qualitative research can make policy openings actionable for researchers and school advocates.
Key Takeaways
According to PLOS Sustainability and Transformation, published 18 August 2026, Spain’s education discourse moved from emancipatory aims (1975–1990) to an OECD-shaped neoliberal consensus (1990–2018) and then to partial openings for transformative sustainability education (2019–present).
- The PLOS paper was received 15 October 2025, accepted 20 July 2026 and published 18 August 2026, reporting document analysis plus seven in-depth interviews conducted between February and September 2025.
- Spain’s LOMLOE law, introduced in 2020 and rolled out 2021–2024, explicitly locates schools as sites of environmental stewardship, but the PLOS authors flag persistent neoliberal governance as a barrier to full implementation.
- The study identifies three historical periods: 1975–1990 (democratic transition and pedagogical renewal), 1990–2018 (neoliberal/OECD consolidation), and 2019–present (discursive openings around sustainability).
What happened and how the study works
Answer first: The PLOS study mapped fifty years of Spanish education law and triangulated document analysis with interviews to reveal discursive shifts that open and constrain transformative sustainability education.
The authors Liam Ó Riada, Unai Pascual, Esther Turnhout and Julia Neidig applied discourse analysis to national education laws from 1975 onward and triangulated those texts with seven interviews carried out between February and September 2025, as reported in PLOS Sustainability and Transformation.
The study codes preambles and curricular texts to detect dominant signifiers (for example, 'quality', 'PISA results', 'entrepreneurial spirit') and traces how dislocatory events, such as the 2019 global climate strikes, created space for new chains of equivalence linking environmental movements and pedagogical renewal actors.
Two short, attributable quotes from the source capture the tension the authors describe: "link[ing] what we do in science [...] with the environment, with the community, with the neighbourhood, with the needs we have, etc. Well, that was very present, " attributed to interview 1; and the LOMLOE preamble phrase "schools must become a place of stewardship and care for our environment, " attributed to the LOMLOE preamble.
Snapshot table
| Date | Metric | Value | Implication |
|---|---|---|---|
| 15 Oct 2025 | Manuscript received | PLOS submission | Start of peer review timeline reported by authors |
| 20 Jul 2026 | Manuscript accepted | PLOS acceptance | Peer review confirmed methods and interpretation |
| 18 Aug 2026 | Article published | Open access in PLOS Sustainability and Transformation | Findings available for policymakers and researchers |
| Feb–Sep 2025 | Interviews | 7 in-depth interviews | Triangulation of document analysis with actor perspectives |
| 1975–1990 | Period 1 | Democratic transition / pedagogical renewal | Emancipatory discourse visible in laws and practice |
| 1990–2018 | Period 2 | Neoliberal / OECD consolidation | Datafication and PISA-shaped policy dominance |
| 2019–present | Period 3 | Discursive openings for TSE | Sustainability becomes central but contested |
Implications for education researchers and policy analysts
Answer first: Researchers should treat the LOMLOE’s text as an opening rather than evidence of implementation, and measure both policy language and classroom practice.
The PLOS article shows that discursive openings in laws (2019–present) do not automatically translate to classroom change because, according to the authors, teacher training targets set for 2025 were not met within the law’s original timeframe and bureaucratic burdens remain (PLOS Sustainability and Transformation, 18 August 2026).
Education researchers should therefore collect mixed qualitative evidence: policy texts, interviews with teachers and administrators, and observational or student-work artifacts to assess whether transdisciplinary learning situations described in law are enacted in practice.
Policy analysts should also track regional divergence: the PLOS study documents that autonomous communities controlled by conservative governments have actively removed content labelled "ideological, " which the authors point to as a real implementation risk for TSE at the regional level.
How Evidano helps (problem → solution mappings)
Problem: Tracking policy language vs practice
Evidano is an AI-powered qualitative data analysis platform that helps researchers analyze interviews, open-ended surveys, and documents.
Solution: Use Evidano to ingest legislation text, committee minutes, teacher interview transcripts, and curriculum documents and run thematic coding to show where 'stewardship', 'competences', or 'quality' are invoked together or in tension.
Contextual link: Learn how thematic, frequency, and cross-segment analysis work on the Evidano features page.
Problem: Small interview datasets and triangulation
According to the PLOS study, the authors triangulated seven interviews with document analysis to reach saturation in their case study (PLOS Sustainability and Transformation, 18 August 2026).
Solution: Evidano can process small-N qualitative datasets, produce code co-occurrence maps and extract representative quotations for policy briefs, helping researchers move from seven interviews to robust analytic claims with transparent evidence.
Problem: Measuring rollout and regional variation
The PLOS authors document regional rollbacks and outsourcing (for example, a vocational sustainability module designed by a private foundation), which requires multi-source tracking (PLOS Sustainability and Transformation, 18 August 2026).
Solution: Evidano supports document scraping and AI chat-over-documents so researchers can monitor autonomous community curricula, extract changes over time, and produce dashboards comparing policy language and implementation across regions.
Problem: Preparing actionable evidence for teacher training
The PLOS paper finds teacher training gaps and bureaucratic burdens that reduce teachers’ ability to run transdisciplinary projects (PLOS Sustainability and Transformation, 18 August 2026).
Solution: Use Evidano to code teacher interviews and open-ended survey responses, generate prioritized barriers and training needs, and export sanitized transcripts for training design; Evidano’s speech-to-text and transcription features speed data collection.
FAQ: transformative sustainability education
What is transformative sustainability education in policy terms?
Answer: Transformative sustainability education (TSE) is an approach that emphasizes critical, relational, and experiential learning aimed at social-ecological change.
Support: The PLOS article defines TSE as fostering deep changes in learners’ worldviews and relationships and notes the law’s move toward transdisciplinary, experiential and embodied pedagogies in the LOMLOE (PLOS Sustainability and Transformation, 18 August 2026).
How did Spain’s LOMLOE create openings for TSE?
Answer: LOMLOE foregrounded sustainability in preamble and curricula and introduced 'learning situations' to integrate cross-disciplinary work.
Support: The PLOS authors report that proposals from Teachers for Future Spain and Ecologistas en Acción were incorporated into the initial draft and that the law states schools "must become a place of stewardship and care for our environment" (PLOS Sustainability and Transformation, 18 August 2026).
Why are openings in law not enough to guarantee classroom change?
Answer: Openings in policy language must be supported by teacher training, resources, and governance changes to overcome entrenched neoliberal accountability structures.
Support: The PLOS study documents missed teacher training targets for 2025, increased bureaucratic burdens from competence-based evaluation, and persistent competitive logics that shift accountability onto teachers and schools (PLOS Sustainability and Transformation, 18 August 2026).
How can AI-enabled qualitative research accelerate evaluation of TSE rollout?
Answer: AI-enabled qualitative research can rapidly code documents and interviews, identify emergent themes, and quantify co-occurrence patterns to surface implementation gaps.
Support: The PLOS authors relied on iterative coding and triangulation of texts and interviews; tools like Evidano can automate transcription, apply reproducible coding schemas, and produce exportable evidence for policymakers and teacher trainers.
Conclusion & Next Steps
Spain’s LOMLOE represents a measurable discursive opening for transformative sustainability education, but the PLOS study warns that entrenched neoliberal governance and unmet training targets threaten meaningful implementation (PLOS Sustainability and Transformation, 18 August 2026).
Researchers and advocates should pair policy-text analysis with teacher interviews, classroom artifacts, and regional monitoring to assess whether law translates into practice.
Evidano can accelerate that work by ingesting laws, interview transcripts, and curricular materials, producing thematic and cross-segment analyses and extractable quotations for reports; see Evidano features to get started.
Next step: compile a pilot dataset of law text, 10 teacher interviews, and 3 regional curricula and test evidence of 'learning situations' in practice.
Ready to operationalize that pilot? Try Evidano for free.
Topics
- transformative sustainability education
- education policy Spain
- qualitative analysis education policy
- AI qualitative research
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