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Record W2623789501 · doi:10.17161/iallt.v41i1.8487

Do Wikis Affect Grammatical Aspects of Second Language Writing

2011· article· en· W2623789501 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

VenueIALLT Journal of Language Learning Technologies · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicWikis in Education and Collaboration
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsGrammarClass (philosophy)GermanMathematics educationAffect (linguistics)Second language writingTask (project management)Computer scienceWord orderSyntaxTest (biology)PsychologyLinguisticsNatural language processingSecond languageArtificial intelligence

Abstract

fetched live from OpenAlex

This paper reports on a study that investigated the use of wikis in a first-year German as a second language class. The focus of the study was to analyze students’ use of grammar. Three classes of 24 students each participated in the study: one class using wikis and one class not using wikis to collaborate on two writing assignments; and one control group. Descriptive statistics as well as ANOVA were used to analyze the assignments as well as the writing components of two tests. Results showed the class using wikis benefited in their writing assignments regarding complex syntax (word order) but encountered problems with the same structures in a test. In addition, a short survey was carried out, asking students of the class using wikis about their experience, attitude and anxiety towards such a technology. Most students felt comfortable participating in a shared online writing task and thought that it helped their writing.

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)0.001
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.426
Threshold uncertainty score0.639

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.004
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 head0.023
GPT teacher head0.331
Teacher spread0.308 · 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