From policy transfer to policy plurality: pluriversal approaches to education policy-making
Journal of Education Policy, 2026 (SSCI, Scopus)
- Yayın Türü: Makale / Derleme
- Basım Tarihi: 2026
- Doi Numarası: 10.1080/02680939.2026.2732079
- Dergi Adı: Journal of Education Policy
- Derginin Tarandığı İndeksler: Social Sciences Citation Index (SSCI), Scopus, Periodicals Index Online, EBSCO Education Source, Education Abstracts, Educational research abstracts (ERA), ERIC (Education Resources Information Center), Political Science Complete, Public Affairs Index, Political Science Abstract (IPSA), Academic Search Ultimate (EBSCO), Education Source Ultimate (EBSCO), Sociology Source Ultimate (EBSCO)
- Anahtar Kelimeler: Education policy, epistemic justice, pluriversal policy-making, policy plurality, policy transfer, policy translation
- Dokuz Eylül Üniversitesi Adresli: Evet
Özet
Education systems often import ‘best practices’ on the assumption that models can travel intact across contexts. Drawing on policy translation, pluriversal thought, and epistemic justice, this conceptual article advances policy plurality as an alternative to policy replication. It argues that policy travel is an epistemic, ontological, and political problem concerning whose knowledge counts and how learning, evidence, achievement, and accountability are defined across unequal contexts. Through a critical conceptual synthesis, the article proposes a seven-component framework– context mapping, evidence plurality, co-design, multi-sited pilots with reverse transfer, a local lexicon, equivalence-based assessment, and an open learning loop– to support negotiated policy design. Three mini-cases on English-medium instruction, single-score assessment regimes, and micro-credentials illustrate how traveling reforms may be recontextualized through local meanings, plural evidence, and opportunity-to-learn indicators. As a pre-implementation contribution, the article reframes validity in terms of equivalence, treats contestation as central to policymaking, and offers a design-oriented framework for future empirical validation.