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Record W1983079574 · doi:10.11591/edulearn.v7i4.194

Contemporary Approaches to Research in TESOL

2013· article· en· W1983079574 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 Education and Learning (EduLearn) · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicTeacher Education and Assessments
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPedagogyAction researchQualitative researchMathematics educationSociologyEnglish languageProfessional developmentPsychologyPopulationSocial science

Abstract

fetched live from OpenAlex

Teaching English to Speakers of Other Languages (TESOL) is one of the largest educational enterprises in the world. Tens of thousands of teachers—both native and non-native speakers of English—are engaged in TESOL across the world. This large population of teachers depends heavily on academic researchers for developing their knowledge base. Although it is evident that teachers who engage in classroom research are more aware of their practices and better able to facilitate student learning, teacher-research is a minority activity in the field of TESOL. In this article, I briefly discuss TESOL practitioners’ conceptions of research. Then, I focus on a dichotomous relationship between qualitative and quantitative approaches to research, and review some contemporary orientations to TESOL research. I conclude the article with a recommendation that TESOL practitioners engage in action research for their professional development as well as their students’ increased learning of the target language.

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)0.004
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.361
Threshold uncertainty score0.636

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.439
GPT teacher head0.479
Teacher spread0.040 · 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