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Record W2020138745 · doi:10.5430/wjel.v2n2p19

On the Effect of Cooperative Writing on Students’ Writing Ability, WTC, Self-efficacy, and Apprehension

2012· article· en· W2020138745 on OpenAlexvenueno aff
Mohammad Hamed Hoomanfard

Bibliographic record

VenueWorld Journal of English Language · 2012
Typearticle
Languageen
FieldPsychology
TopicInnovative Teaching and Learning Methods
Canadian institutionsnot available
Fundersnot available
KeywordsApprehensionWriting processMathematics educationCommunication apprehensionPsychologyControl (management)Group (periodic table)Collaborative writingSet (abstract data type)Computer scienceCognitive psychologyArtificial intelligenceAnxiety

Abstract

fetched live from OpenAlex

Co-authoring is a type of cooperative writing which requires students to cooperate in order to write. The present study is carried out to see whether cooperative writing affects students’ levels of writing ability, writing apprehension, writing self-efficacy, and writing WTC. Two intact classes have participated in this study. A conventional group (n= 31), and a cooperative (n= 36) participated in the study. The students in the experimental group were writing essays in groups of four, helping each other during the process of writing; on the other hand, in the control group, the whole procedure was done individually. The analysis of the data revealed that the writing ability of the students in cooperative group improved significantly more than that of the students in the conventional group. The further analysis showed the superiority of cooperative writing classes in the affective domain. The results of the present study shed more light on the efficiency of cooperative writing in terms of both writing ability and affective factors. A set of pedagogical implications are also provided.

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)0.011
metaresearch head score (Gemma)0.005
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 score0.512
Threshold uncertainty score0.564

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0110.005
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 head0.020
GPT teacher head0.364
Teacher spread0.344 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations6
Published2012
Admission routes1
Has abstractyes

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