English Language Teacher Education and the Multiliteracies Pedagogy: Constructing Complex Professional Knowledge and Identities
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
Contemporary literacy practices need to be addressed in school settings. That requires awareness by teachers and students of the cultural and linguistic diversity present in our cosmopolitan societies. In the field of English language teaching (ELT), one way of responding to such demand is engaging teachers with multiliteracies pedagogies throughout their professional preparation. Based on that assumption, this paper reports on a component experience of the Brazilian Government Program for Initial Teacher Education, where, in 2017, three teacher candidates planned and taught three English lessons using the multiliteracies pedagogy framework. It stands as a case study that seeks to identify the impacts of using multiliteracies pedagogy in a teacher education context, in terms of knowledge building and identity work. Teacher candidates engaged in a designing process of multimodal teaching materials and documented their experience in journals. Those items were used as data to investigate the impact of the pedagogy on teachers’ development, focusing on the following elements of design: reference, dialogue, structure, situations, and intention. Research findings suggest the positive impact of that experience, both as a source of professional knowledge and as a fruitful opportunity for teachers to change preconceptions about ELT.
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 | 0.000 |
| 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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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