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Record W4401992533 · doi:10.1075/jicb.24013.nid

Exploring immersion competencies in secondary education

2024· article· en· W4401992533 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Immersion and Content-Based Language Education · 2024
Typearticle
Languageen
FieldArts and Humanities
TopicSecond Language Learning and Teaching
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsImmersion (mathematics)PsychologyMathematics educationPedagogyMathematics

Abstract

fetched live from OpenAlex

Abstract This study delves into immersion competencies within secondary education, specifically focusing on transformative professional development in Home Economics pedagogical integration. Specifically, this paper investigates how six teacher participants, in the Gaeltacht education context in Ireland, acquired the necessary competencies for meaningful language integration, as outlined by the IPACK framework. In addition, the role of a bespoke professional development programme in fostering such competencies was examined. Through qualitative action research design, data collection tools such as classroom observations, stimulated recall interviews, questionnaires, and reflective diaries were employed. Findings demonstrated evident evolvement of participants’ pedagogical approach of Form-Focused Instruction and contributed to understanding the intricacies of immersion competencies at secondary level, highlighting their interdependence as a prerequisite for effective pedagogical integration. Implications suggest the need for targeted professional development initiatives to empower teachers with the competencies necessary for effective integration of content and language pedagogies.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.952
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.072
GPT teacher head0.268
Teacher spread0.195 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it