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OVERCOMING FOREIGN LANGUAGE SPEAKING ANXIETY BY USING A LANGUAGE EXCHANGE WEBSITE IN ONLINE LEARNING

2022· article· en· W4221123357 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

VenuePROJECT (Professional Journal of English Education) · 2022
Typearticle
Languageen
FieldComputer Science
TopicEnglish Language Learning and Teaching
Canadian institutionsKootenay Association for Science & Technology
FundersDirektorat Jenderal Pendidikan Tinggi
KeywordsForeign language anxietyAnxietyForeign languagePsychologyIndonesianMathematics educationLinguistics

Abstract

fetched live from OpenAlex

The use of website in learning Foreign Language helps the students feel comfortable to speak. The objectives of the research is to investigate the Indonesian students’ self-rated degrees of their foreign language speaking anxiety (FLSA) and the effect of using language exchange website in online learning in overcoming the students’ FLSA. This study examined 100 undergraduate students of 4th and 6th semester majoring English education. Foreign Language Classroom Anxiety Scale (FLCAS) by Horwitz, Horwitz & Cope (1986) was adapted and distributed twice in the beginning of the class to find the state of speaking anxiety and in the end to see whether there is any significance effect after learning speaking by using a language exchange website. Finally, the six participants were chosen for interview. The interview was conducted to get more data about the foreign language speaking anxiety that they feel. It is found that the number of students who felt anxiety decreases after using language exchange website. Keywords: Foreign Language, Speaking Anxiety, Language Exchange Website

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)0.002
metaresearch head score (Gemma)0.002
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 score0.244
Threshold uncertainty score0.923

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0000.002
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 head0.014
GPT teacher head0.311
Teacher spread0.297 · 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