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Record W2034760431 · doi:10.3138/cmlr.57.3.377

Interlanguage Development of Spanish Learners: Comprehension, Production, and Interaction

2001· article· en· W2034760431 on OpenAlexvenueno aff
Paula Balbis Garcia

Bibliographic record

VenueCanadian Modern Language Review/ La Revue canadienne des langues vivantes · 2001
Typearticle
Languageen
FieldArts and Humanities
TopicEFL/ESL Teaching and Learning
Canadian institutionsnot available
Fundersnot available
KeywordsListening comprehensionInterlanguageComprehensionPsychologyGrammarTask (project management)Active listeningLinguisticsMathematics educationCognitive psychologyCommunicationEngineering

Abstract

fetched live from OpenAlex

This study explores the relationship between group interaction and interlanguage development, specifically listening comprehension and the production of target grammar forms. Two groups (39 participants in total) of first-semester Spanish students at an American university took notes on a mini-lecture, then completed a text reconstruction and listening comprehension test. The experimental group (n = 18) interactively shared notes for five minutes in small groups; the control group (n = 21) did not interact, although students were allowed to study their notes for five minutes. The experimental group scored significantly higher (p = 0.001) on the listening comprehension task. The recorded interactions, analyzed quantitatively and qualitatively, revealed significant differences between the interaction groups in the amount and types of L2 words used in the joint construction of knowledge. Quantitative analysis, conducted by means of a customized computer program that identified and counted target linguistic forms, facilitated ready comparison across interaction groups through innovative analytic techniques. This study shows that interaction may have an effect on listening comprehension and suggests that the different ways in which learners interact may explain this effect.

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)0.000
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.840
Threshold uncertainty score0.905

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)0.0010.000

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 head0.030
GPT teacher head0.241
Teacher spread0.212 · 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 designQualitative
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

Citations27
Published2001
Admission routes1
Has abstractyes

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