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Record W2005048623 · doi:10.3138/cmlr.2202

Changes in Second-Language Learners’ Oral Skills and Socio-Affective Profiles Following Study Abroad: A Mixed-Methods Approach

2014· article· en· W2005048623 on OpenAlexvenueno aff
Debra M. Hardison

Bibliographic record

VenueCanadian Modern Language Review/ La Revue canadienne des langues vivantes · 2014
Typearticle
Languageen
FieldArts and Humanities
TopicEFL/ESL Teaching and Learning
Canadian institutionsnot available
Fundersnot available
KeywordsFluencyAffect (linguistics)PsychologyPronunciationStudy abroadVocabularyCompetence (human resources)GermanWillingness to communicateGrammarFirst languageSocial psychologyPedagogyMathematics educationLinguisticsCommunication

Abstract

fetched live from OpenAlex

Abstract: Research on the effectiveness of short-term study-abroad (SA) programs for improving oral skills has shown mixed results. In this study, 24 L2 German learners (L1 English) provided pre- and post-SA speech samples addressing a hypothetical situation and completed surveys on cross-cultural interest and adaptability; L2 communication affect, strategies, perceived competence; and L2 contact. Native speakers (NSs) provided ratings for pronunciation, fluency, grammar, vocabulary, and accentedness. Results revealed significant improvement in all oral skills and positive changes in the socio-affective factors. Participants who reported more positive affect in interactions with NSs pre-SA tended to spend more hours in extended interactions with them while abroad. These hours were related to increased positive communication affect post-SA. No significant relationships were found between L2 contact and gains in oral skills. Homestay experiences were positive, providing opportunities for extended interactions and cultural knowledge. For classroom learners, findings suggest a role for e-languaging tasks with NSs.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.724
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.015
GPT teacher head0.281
Teacher spread0.266 · 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 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
Published2014
Admission routes1
Has abstractyes

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