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Record W2980430752 · doi:10.1080/2331186x.2019.1675466

The impact of task type and pre-task planning condition on the accuracy of intermediate EFL learners’ oral performance

2019· article· en· W2980430752 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

VenueCogent Education · 2019
Typearticle
Languageen
FieldArts and Humanities
TopicEFL/ESL Teaching and Learning
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsTask (project management)Task analysisPsychologyComputer scienceEngineering

Abstract

fetched live from OpenAlex

Task-based language teaching comprises both a novel language teaching approach and a burgeoning area of study in the field of second-language acquisition. This study investigated the effects of task type and planning conditions on the accuracy of learners’ oral performance during pre-task planning. Eighty intermediate EFL learners were assigned to four task conditions: individual-planning personal task, individual-planning decision-making task, group-planning personal task, and group-planning decision-making task (n= 20). Individual task performances were scored for accuracy prior to the treatment sessions. During the treatment sessions, the participants completed the tasks under different planning conditions. Results of statistical analyses revealed that pre-task planning conditions and the task type are effective in enhancing the accuracy of learners’ oral production. The findings lend support to the view that there are advantages in selecting and implementing appropriate task-based conditions to develop the accuracy of language learners’ oral performance. The implications for task-based language teaching are explained and some suggestions for further research are offered.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.494
Threshold uncertainty score0.192

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0000.000

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 head0.032
GPT teacher head0.322
Teacher spread0.290 · 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