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Record W4388418496 · doi:10.1111/tger.12263

Implicit and explicit instruction in the second language classroom: A study of learner preferences in higher education

2023· article· en· W4388418496 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

VenueDie Unterrichtspraxis/Teaching German · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicEFL/ESL Teaching and Learning
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsPronunciationPsychologyExplicit knowledgeMathematics educationVocabularyCompetence (human resources)GermanPerceptionComputer scienceLinguistics

Abstract

fetched live from OpenAlex

Abstract In a recent study, English‐speaking L2 learners of German who received explicit instruction made significantly greater improvements in pronunciation and vocabulary than learners who received implicit instruction. Against the backdrop of this work, the present study reports learner preferences and perceptions about implicit and explicit language instruction. Results highlight a general preference for explicit instruction among university students, with implicit instruction reported as a source of stress and learner anxiety. While implicit and explicit instruction both have a place in the L2 classroom, learners reported that explicit instruction helped circumvent crosslinguistic transfer and ease anxiety. Many learners reported the expectation of declarative knowledge as a function of higher education instruction, suggesting that the exclusive goal of communicative competence may be an insufficient target for university language students. This study highlights the importance of explicit instruction in the L2 classroom.

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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.392
Threshold uncertainty score0.997

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 integrity0.0000.001
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 head0.050
GPT teacher head0.318
Teacher spread0.268 · 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