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Record W2542641630 · doi:10.5539/ies.v9n11p130

Content Based Lesson Plans inside the English Rural Classrooms

2016· article· en· W2542641630 on OpenAlexvenueno aff
Josefina Quintero Corzo, Catherine Julieth Lopera Lopera

Bibliographic record

VenueInternational Education Studies · 2016
Typearticle
Languageen
FieldArts and Humanities
TopicSecond Language Learning and Teaching
Canadian institutionsnot available
Fundersnot available
KeywordsCurriculumRelevance (law)PedagogyContext (archaeology)Foreign languageGrammarClass (philosophy)Mathematics educationPsychologyContent analysisSociologyPolitical scienceComputer scienceLinguisticsSocial scienceGeography

Abstract

fetched live from OpenAlex

<p class="apa">This piece of work gives account of a classroom research project done in a rural state institution in Colombia whose main purpose was to contextualize the foreign languages teaching and learning in line with the current curriculum regulations stated by the National Ministry of Education. Content-based instruction inside a rural English classroom was examined and informed. The results revealed that the content-based instruction approach was useful to integrate environmental issues with the grammar and the communicative uses of the language. Rural high school students get more motivated when they feel a stronger and real connection between the language they learn and their touching and closest reality they perceive. It was also found that applying these environmental issues in a rural scholar context caused awareness in students according to the use and importance the English as a foreign language can be imply in their social development highlighting the real relevance in their current lives. Conclusions highlight some perspectives and implications derived from the application of several lesson plans incorporating the crisis of the planet and its possible solutions as the core content.</p>

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.

How this classification was reachedexpand

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)0.001
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.732
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.109
GPT teacher head0.326
Teacher spread0.217 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations4
Published2016
Admission routes1
Has abstractyes

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