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Record W4416781862 · doi:10.1177/13621688251378559

Feedback explicitness, working memory, and explicit knowledge in online classroom-based second language Mandarin tone learning

2025· article· en· W4416781862 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

VenueLanguage Teaching Research · 2025
Typearticle
Languageen
FieldArts and Humanities
TopicEFL/ESL Teaching and Learning
Canadian institutionsUniversity of Toronto
FundersUniversity of Delaware
KeywordsMandarin ChineseCorrective feedbackMetalinguisticsWorking memorySecond languageActive listeningRecallTone (literature)VocabularySecond-language acquisition

Abstract

fetched live from OpenAlex

The impact of corrective feedback explicitness on second language acquisition remains a critical area of inquiry, yet research on classroom-based learning of Mandarin tones – particularly challenging for first language (L1) English speakers – remains scarce. Furthermore, most feedback studies are conducted in laboratory settings, which may not reflect real-world second language (L2) classroom learning. The few classroom-based studies that exist often lack internal validity, such as failing to include a control group. Additionally, individual learner differences are rarely considered when investigating feedback effectiveness. To address these gaps, this study compares the effectiveness of two feedback types – recasts and metalinguistic feedback – in U.S. university students’ learning of Chinese tones within an online communicative classroom environment. It also examines whether feedback effects are modulated by learners’ explicit knowledge of vocabulary tone values and working memory capacities. Forty-eight novice learners of Chinese were assigned to three groups (recasts, metalinguistic feedback, control) and completed an online synchronous course comprising four 65–85-minute sessions over two weeks. Feedback effects were assessed through controlled (sentence reading) and spontaneous (picture description) oral production tasks administered before, immediately after, and two weeks post-treatment. Phonological short-term memory was evaluated via a nonword recall test, while executive working memory was measured with a listening span test. Results revealed that recasts produced larger and more sustainable gains than metalinguistic feedback, particularly in spontaneous tone use. While phonological short-term memory had minimal impact, executive working memory predicted pretreatment tone accuracy and enhanced the effects of recasts but was negatively associated with the utility of metalinguistic feedback. Vocabulary tone knowledge was linked to pretreatment tone accuracy; however, improvements in this knowledge resulting from instruction did not influence feedback effectiveness. This study highlights the efficacy of recasts in Mandarin tone learning, reinforcing the superiority of implicit over explicit metalinguistic instruction for similar L2 phonological targets.

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)0.005
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.260
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.004
Insufficient payload (model declined to judge)0.0010.000

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 head0.055
GPT teacher head0.386
Teacher spread0.331 · 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