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Record W2114580211 · doi:10.5539/ijel.v2n3p22

Reflections on the What of Learner Autonomy

2012· article· en· W2114580211 on OpenAlexvenueno aff
Masoud Zoghi, Hamid Nezhad Dehghan

Bibliographic record

VenueInternational Journal of English Linguistics · 2012
Typearticle
Languageen
FieldArts and Humanities
TopicEFL/ESL Teaching and Learning
Canadian institutionsnot available
Fundersnot available
KeywordsConceptualizationAutonomyLearner autonomyLanguage acquisitionEpistemologyIndependence (probability theory)Field (mathematics)PsychologyIdeologyPedagogyMathematics educationSociologyLanguage educationLinguisticsPolitical scienceComprehension approachPoliticsPhilosophyMathematics

Abstract

fetched live from OpenAlex

The critical role of the learner in the language learning process has been stressed within recent approaches in the humanities and language studies. For this reason the term learner autonomy is now a very fashionable word in the fields of language learning and teaching. On a general note, there are two dominant approaches to knowledge and learning, each of which adopts a different stance on learner autonomy. These two opposing camps are usually referred to as positivism and constructivism. Although learner autonomy is welcomed by many educators, there is not a broad consensus of opinion on its definition. In this article attempts have been made to show that learner autonomy is a dual conceptualization which incorporates the notions of dependence and independence. The ideology driving the view of learner autonomy presented here has been that learner autonomy should be achieved through the tenets of the scaffolding theory proposed by Bruner (1988). Additionally, the authors will highlight the factors involved in building up autonomy in students. It is hoped that the way we go about dealing with this concept may shed some light on the labyrinth that we are all in, namely the field of 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.

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)0.001
metaresearch head score (Gemma)0.022
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.975
Threshold uncertainty score0.986

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.022
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)0.0010.000

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 head0.079
GPT teacher head0.343
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

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

Citations14
Published2012
Admission routes1
Has abstractyes

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