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Record W2995683541 · doi:10.29333/iji.2020.13141a

The Effects of Implicit Learning on Japanese EFL Junior College Students’ Writing

2019· article· en· W2995683541 on OpenAlex
Hiroyo Nakagawa, Ambrose Leung

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

VenueInternational Journal of Instruction · 2019
Typearticle
Languageen
FieldArts and Humanities
TopicEFL/ESL Teaching and Learning
Canadian institutionsMount Royal University
Fundersnot available
KeywordsCorrective feedbackMathematics educationPsychologyClass (philosophy)Implicit learningSecond language writingSecond-language acquisitionSecond languageComputer scienceLinguisticsCognition

Abstract

fetched live from OpenAlex

The current study aims to examine the effects of implicit learning on Japanese EFL junior college students' writing. The concept of written corrective feedback (WCF) has continued to receive much attention in second language acquisition research. Although most researchers have been supportive of explicit WCF for the development of accuracy, others have focused on implicit WCF with selfcorrection. While explicit instruction from teachers is the traditional method to provide students with corrective feedback, research in second language acquisition has shown growing interest in the role of implicit learning to improve students' writing skills. To investigate the impact of implicit learning on students' writing, 39 Japanese second-year students who have previously failed a compulsory writing class because of their high absenteeism, participated in this study. As treatments to improve writing skills through implicit learning, implicit tasks and self-correction were used to motivate the students. The design of the experiment includes two types of implicit tasks, implicit error correction and concept mapping during class. In addition, self-correction on homework was implemented. A mix of quantitative and qualitative methods was used in the analysis. The results showed that implicit learning appeared to help students in developing writing skills, but the impact may vary across students with different levels of English proficiency.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.492
Threshold uncertainty score0.230

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0000.000

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 head0.007
GPT teacher head0.264
Teacher spread0.256 · 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