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Record W6925637846 · doi:10.17638/03161313

We All Shine On: Supporting International Student Voices in an Academic Context

2022· article· en· W6925637846 on OpenAlexaboutno aff

Bibliographic record

VenueUniversity of Liverpool · 2022
Typearticle
Languageen
FieldArts and Humanities
TopicViolence, Religion, and Philosophy
Canadian institutionsnot available
Fundersnot available
KeywordsCommunication apprehensionAnxietyWillingness to communicateContext (archaeology)Class (philosophy)Public speakingExploratory researchPerceptionFirst languageLanguage acquisition

Abstract

fetched live from OpenAlex

The primary aim of this research is to support English as an Additional Language (EAL) student oral communication on the campus of a small teaching and learning university on the West Coast of Canada, where students have reported experiencing language anxiety (LA), which is the apprehension that an interlocutor gets when engaging or preparing to engage in communication in a language that is not their mother tongue. Studies have reported that their LA can result in communication avoidance and impede language use. In this research, LA is associated with the variables described in theories around willingness to communicate (WTC), which includes group and personal factors. However, my findings uncovered other additional elements. The objectives of the study were two-fold: (i) to investigate the students’ perceptions of using English in their academic classes and other settings where language anxiety often arises; and (ii) to explore the students’ strategy use both before and during the study to lower their language anxiety and support communication. To achieve my research objectives, I conducted a qualitative exploratory study using action learning with 5 participants from different nationalities who were recruited by attending voluntary workshops on strategies for oral academic communication. Each participant was involved in five semi-structured interviews. During the first of the interviews the participants were asked to complete the Public Speaking Class Anxiety Scale (PSCAS) to assess their degree of language anxiety and note specific effects of language anxiety in need of attention. Significant answers were discussed. Next, participants were then asked to complete the Academic Spoken English Strategies Survey (ASESS), to subsequently choose a strategy as an intervention to utilize, and then note the results weekly. At second, third, and fourth interviews, the participants shared their experiences around their use of the intervention, any changes they made to the intervention, or significant experiences they had had in academic communication during the investigated period. They concluded the interviews by choosing to continue working on the same aspect of language anxiety with the same intervention, or to make changes and repeat the cycle. In the last interview, the participants completed the PSCAS again and discussed any changes revealed from the first to last interview. Thematic analysis was used to analyze the interview data. The findings revealed a high degree of strategy use before the study and the limited effect that additional strategy use had on reducing language anxiety and supporting corresponding oral communication during the study. Instead, speaking was primarily affected by intercultural relationships, individualized culture, and multilevel context. This led to reconsidering the WTC pyramid to incorporate these cultural and contextual variables; highlighting theories around small culture and their ultimate affect on community and connection; and noting significance of specific context, particularly the academic classroom, and its effect on identity, power and connection.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.008
metaresearch head score (Gemma)0.013
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.016
Threshold uncertainty score0.040

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.013
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0110.009
Scholarly communication0.0160.013
Open science0.0020.014
Research integrity0.0040.006
Insufficient payload (model declined to judge)0.0090.003

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 head0.043
GPT teacher head0.267
Teacher spread0.225 · 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 source (direct Gemma or distilled Codex), 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".

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Citations0
Published2022
Admission routes1
Has abstractyes

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