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Record W2129767665 · doi:10.5539/elt.v5n9p33

Estimating the Effectiveness and Feasibility of a Game-based Project for Early Foreign Language Learning

2012· article· en· W2129767665 on OpenAlexvenueno aff
Eleni Griva, Klio Semoglou

Bibliographic record

VenueEnglish Language Teaching · 2012
Typearticle
Languageen
FieldArts and Humanities
TopicEFL/ESL Teaching and Learning
Canadian institutionsnot available
Fundersnot available
KeywordsPsychomotor learningPsychologyCreativityTest (biology)Mathematics educationDancePedagogyCognitionSocial psychology

Abstract

fetched live from OpenAlex

This paper outlines the rationale for and the purpose of designing and implementing a project aiming to make very young EFL learners develop their language skills through their involvement in interactive psychomotor activities. The project, which is a part of a broader longitudinal project having introduced EFL in the first primary school grade, was implemented in two 2nd grade Greek classrooms with a total of 44 seven year old children. Multisensory teaching was followed through the use of a combination of activities: classroom creative activities included memory and word games, drawings, constructions, role-play games, pantomime as well as songs. In the gym, children participated in physical activities such as races, chases and hopscotch as well as dance and music activities, with the aim to improve their oral communicative skills and creativity. In order to examine the effectiveness and feasibility of the project, an evaluation study was conducted by using a pre- and post- language test and journals kept by the teachers. It was evident that the project had a positive effect on developing very young learners’ language skills, and on enhancing their motivation to participate in psychomotor activities.

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)0.005
metaresearch head score (Gemma)0.004
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 score0.029
Threshold uncertainty score0.553

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.030
GPT teacher head0.305
Teacher spread0.275 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations10
Published2012
Admission routes1
Has abstractyes

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