Policy Shift: Transformative Sustainability Education

Transformative sustainability education is appearing in Spanish law, but implementation remains constrained by decades of market-oriented policy framing. This post explains the evidence from the PLOS Sustainability and Transformation article on Spain (Ó Riada et al., 2026), identifies concrete barriers that slow classroom adoption, and shows how AI-enabled qualitative research can accelerate rigorous synthesis and actionable recommendations for educators and policy teams. The primary keyword "transformative sustainability education" is used here to help researchers, curriculum designers, and qualitative teams find practical steps to turn policy openings into classroom practice.

Key Takeaways

The PLOS Sustainability and Transformation study shows that Spanish education policy moved from a human-capital orientation toward partial openings for transformative sustainability education, but entrenched neoliberal governance constrains implementation: PLOS Sustainability and Transformation.

Ó Riada et al. (PLOS Sustainability and Transformation, published 18 August 2026) identify three discursive periods: 1975–1990, 1990–2018, and 2019–present.
The study triangulated a document analysis of Spain’s education laws since 1975 with seven in-depth interviews conducted between February and September 2025 (Ó Riada et al., 2026).
Spain’s 2020 education law LOMLOE (drafted 2020, rolled out 2021–2024) introduces transdisciplinary "learning situations" and names sustainability centrally, but the law retains market-oriented accountability mechanisms (Ó Riada et al., 2026).

What happened and how the study was done

What happened: Ó Riada et al. (PLOS Sustainability and Transformation, 2026) mapped how Spanish education policy shifted discursively from a human-capital model to partial openings for transformative sustainability education between 1975 and the present.

How it was measured: Ó Riada et al. (2026) performed a document-based discourse analysis of national education laws and supplementary policy texts and triangulated the results with seven in-depth interviews conducted between February and September 2025.

Key finding: Ó Riada et al. (2026) identify three periods in Spanish educational discourse: an emancipatory phase (1975–1990), a neoliberal consolidation aligned with OECD metrics (1990–2018), and a 2019–present window where sustainability becomes a central, though contested, signifier.

Direct evidence: the authors quote a pedagogical renewal actor saying, "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, " which Ó Riada et al. (2026) attribute to an interviewee from the 1975–1990 period.

Policy quote: Ó Riada et al. (2026) note the LOMLOE preamble that "schools must become a place of stewardship and care for our environment, " showing explicit sustainability language in the 2020 law.

Findings Snapshot

Date	Metric	Value	Implication
18 August 2026	Article publication	Ó Riada et al., PLOS Sustainability and Transformation	Comprehensive discourse analysis available for replication
1975–1990	Discursive period	Emancipatory pedagogical renewal	Introduced relational, community-based education framings
1990–2018	Discursive period	Neoliberal/OECD-influenced human-capital focus	Standardised metrics and competition became dominant
2019–present	Discursive period	Opening for transformative sustainability education	LOMLOE (2020) incorporates transdisciplinary and stewardship language
Feb–Sep 2025	Interviews	7 in-depth interviews	Triangulated policy texts with actor perspectives

Implications for education researchers and qualitative teams

Main implication: Ó Riada et al. (2026) show that policy language can open space for practice but implementation depends on teacher training, workload, and governance structures.

Researchers should code policy preambles and interview transcripts for "signifiers" (for example, "quality", "stewardship", "leadership") to map contested meanings over time, as done by Ó Riada et al. (2026).
Curriculum teams should prioritise teacher professional development, because Ó Riada et al. (2026) report that teachers lacked required training by the 2025 target date.
Policy evaluators should measure both quantitative outcomes and qualitative indicators of agency and place-based learning, because Ó Riada et al. (2026) document a risk that sustainability becomes a "floating signifier" if only evaluated instrumentally.

How Evidano helps

Problem: Scattered policy documents, transcripts, and interview notes slow synthesis

Evidano is an AI-powered qualitative data analysis platform that helps researchers analyze interviews, open-ended surveys, and documents.

Solution: Evidano ingests policy texts and interview transcripts, auto-transcribes audio, and creates thematic and frequency analyses to reveal how signifiers such as "quality" or "sustainability" shift over time; see Evidano features.

Problem: Identifying discursive openings across decades is time-consuming

Evidano automated timeline grouping and co-occurrence visualizations accelerate the identification of discursive periods similar to the 1975–1990, 1990–2018, and 2019–present windows reported by Ó Riada et al. (2026).

Solution: Use Evidano to run cross-segment analyses (by law, by year, by interviewee role) and export coder-validated themes for policy memos and stakeholder workshops.

Problem: Turning qualitative insight into actionable training priorities

Evidano provides searchable AI chat over uploaded documents and coded analyses so curriculum teams can extract teacher training gaps noted across multiple interviews and texts.

Solution: Generate prioritized recommendations (for example, training on transdisciplinary "learning situations") and evidence-backed excerpts to include in grant proposals and ministry briefings.

Data security and reproducibility

Evidano supports encrypted data handling and reproducible exports of coded datasets, which helps research teams comply with open data practices noted by Ó Riada et al. (2026) who deposited interview excerpts in the Harvard Dataverse.

Solution: Store analytic outputs alongside source documents and export method logs for publication appendices and peer review.

FAQ: transformative sustainability education

What is "transformative sustainability education" in policy terms?

Answer: Transformative sustainability education (TSE) is an approach that centers experiential, relational, and critical learning to foster agency for systemic change, as defined in the literature and summarized by Ó Riada et al. (PLOS Sustainability and Transformation, 2026).

Support: Ó Riada et al. (2026) link TSE to whole-school approaches, place-based learning, and the cultivation of futures literacy and political agency.

Does Spain’s LOMLOE legally require transformative methods in classrooms?

Answer: No, LOMLOE (2020) includes language that legitimizes transdisciplinary "learning situations" and stewardship, but Ó Riada et al. (2026) find that implementation is partial and constrained by governance and resource limits.

Support: Ó Riada et al. (2026) document that teacher training targets tied to the law were not met by the 2025 timetable.

How was the evidence for the PLOS study collected?

Answer: The authors combined document-based discourse analysis of national education laws since 1975 with seven in-depth interviews undertaken between February and September 2025 (Ó Riada et al., 2026).

Support: The study used NVivo for iterative coding and triangulated archival materials with actor interviews to validate findings.

How can AI-enabled qualitative tools avoid bias when analyzing policy discourse?

Answer: AI-enabled tools reduce manual workload but must be paired with researcher-led coding, transparency, and triangulation, as Ó Riada et al. (2026) demonstrate by combining document analysis and interviews.

Support: Best practice is to export AI-generated codes, conduct human validation, and include method logs in appendices for reproducibility.

Conclusion & Next Steps

Ó Riada et al. (PLOS Sustainability and Transformation, 2026) document a meaningful discursive opening for transformative sustainability education in Spain, but they also document concrete obstacles in teacher training, workload, and governance that risk co-optation of sustainability language.

Researchers and curriculum teams should prioritize reproducible qualitative synthesis of laws, interview data, and training needs to turn policy openings into classroom practice.

If you want to accelerate evidence synthesis and generate implementation-ready recommendations from policy texts and interviews, Try Evidano for free.

Topics

transformative sustainability education
education policy Spain
qualitative discourse analysis
AI-enabled qualitative analysis

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