MétaCan
Menu
Back to cohort
Record W4416366232 · doi:10.22329/jtl.v19i5.8975

Quantitative Action Research on Enhancing French Vocabulary Acquisition: The Efficacy of Flashcard-Based Learning Among Undergraduates

2025· article· en· W4416366232 on OpenAlexvenueno aff
Nirmani Dayapathirana, Madhara Prabodini, Sewwandhi Jayathissa

Bibliographic record

VenueJournal of Teaching and Learning · 2025
Typearticle
Languageen
FieldPsychology
TopicSecond Language Acquisition and Learning
Canadian institutionsnot available
Fundersnot available
KeywordsVocabularyAction researchRelevance (law)Sample (material)Action (physics)Intervention (counseling)Vocabulary development

Abstract

fetched live from OpenAlex

This quantitative action research investigates the effectiveness of a flashcard-based intervention in enhancing French vocabulary acquisition among Sri Lankan undergraduate learners. A sample of 60 beginner and intermediate French students was selected through convenience sampling. The study employed pre-test and post-test design, including a control group, with data analyzed using paired-samples t-tests and ANOVA. Over four weeks, participants engaged in a structured flashcard program incorporating French words, English translations, and visual aids. The results demonstrated a statistically significant improvement in vocabulary knowledge, affirming the efficacy of flashcards as a language-learning tool. The action research approach allowed for iterative refinement of the intervention, ensuring its relevance and applicability in real-world educational settings. Additionally, a positive correlation was identified between students' attitudes towards flashcard use and vocabulary gains. These findings contribute to the ongoing development of practical strategies for vocabulary instruction, with implications for language educators seeking to enhance student outcomes through evidence-based practices.

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 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)0.009
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.535
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.005
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 head0.058
GPT teacher head0.425
Teacher spread0.367 · 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 teacher head, not a consensus.

Study designObservational
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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Teaching and LearningSame topicSecond Language Acquisition and LearningFrench-language works237,207