Technology-enhanced multiliteracies teaching towards a culturally responsive curriculum: a multiliteracies approach to ECE
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
Much attention has been paid to the introduction of a culturally responsive curriculum in early childhood education in our increasingly globalized society to support young children of diverse cultural and linguistic (CLD) backgrounds. With the rise of twenty-first century concepts of what literacy means in the digital age, traditional literacy practices that have relied primarily on print-based texts have been also challenged. To response to these imperatives, this qualitative case study presents a lived story of a grade one teacher who implemented multiliteracies pedagogy in her classroom for young culturally and linguistically diverse (CLD) children. Our findings show that applying multiliteracies pedagogy not only motivated the teacher to value her CLD students’ diverse semiotic resources as available designs but also transformed the way the teacher integrated technology in literacy teaching. We end this paper with the discussion of implications of integration of multiliteracies pedagogy to technology-enhanced literacy teaching and learning.
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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 | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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