MétaCan
Menu
Back to cohort
Record W2910209836 · doi:10.5539/elt.v12n2p88

Investigating the Application of Communicative Language Teaching Principles in Primary-Education: A Comparison of CLIL and FL Classrooms

2019· article· en· W2910209836 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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueEnglish Language Teaching · 2019
Typearticle
Languageen
FieldArts and Humanities
TopicSecond Language Learning and Teaching
Canadian institutionsnot available
Fundersnot available
KeywordsContent and language integrated learningPsychologyCommunicative language teachingLanguage acquisitionMathematics educationPedagogyRelation (database)Teaching methodLanguage educationComputer scienceForeign language

Abstract

fetched live from OpenAlex

It is widely accepted that the learning of a new language, among other advantages, promotes respect and interest of the students towards other cultures and languages. The question is how learning languages can be promoted in educational settings. The aim of the present study is to explore the principles of communicative language teaching in primary-education CLIL and FL classrooms. More specifically, in this paper we address to what extent collaborative work, attention to language and content and corrective feedback are observed during teacher-student and peer interaction in these educational settings. Following an action research approach, ten Spanish and ten Maths sessions were observed and recorded. Furthermore, whole group interaction and peer interaction were analysed in relation to the participants’ attention to language and content. Results from the study show that communicative language teaching is the approach followed in CLIL and FL sessions, tasks being the organizing units. However, differences are observed in relation to attention to language and use of correction strategies. Our findings suggest the need to use strategies to draw attention to language and content in CLIL settings, and the importance of using a more even range of correction strategies both in CLIL and FL classrooms.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.163
Threshold uncertainty score0.957

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.019
GPT teacher head0.283
Teacher spread0.264 · 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