Enhancing intercultural education: strategies for challenging Eurocentrism and centring Indigenous perspectives in teacher education
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Navigating Eurocentric teacher education settings presents significant challenges for both educators and learners, particularly when engaging with issues of race, privilege, and Indigenous perspectives. This paper draws on interviews with 16 Indigenous experts from Australia, Canada, the US, and New Zealand, woven together with reflective practice from compulsory Indigenous studies courses in Queensland, Australia. Our analysis reveals three key strategies: critical self-reflection, the use of metaphors, and intergenerational mentorship, which enable initial teacher education (ITE) programs to challenge deficit thinking and promote meaningful inclusion of Indigenous Knowledges. Our paper examines the affective and intellectual tensions experienced by preservice teachers when they are invited to confront their cultural positioning, whiteness, and colonial complicity. We contend that scaffolded engagement with Indigenous epistemologies provides a potent means for challenging deficit discourses and fostering more ethically responsive educational practices. Methodologically, our paper integrates dialogic reflection and Indigenous-led analysis to generate a praxis-oriented contribution for those engaged in curriculum and pedagogical reform. While grounded in the Australian context, comparative references to other settler-colonial nations enhance global debates on decolonising teacher education, offering applied strategies for critical reflexivity, relational accountability, and the ethical inclusion of Indigenous knowledges.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it