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Record W2290034550 · doi:10.3138/cmlr.2096

Project-Based Learning through the Eyes of Teachers and Students in Adult ESL Classrooms

2016· article· en· W2290034550 on OpenAlexvenueno aff
Cristina Suzann Petersen, Hossein Nassaji

Bibliographic record

VenueCanadian Modern Language Review/ La Revue canadienne des langues vivantes · 2016
Typearticle
Languageen
FieldArts and Humanities
TopicEFL/ESL Teaching and Learning
Canadian institutionsnot available
Fundersnot available
KeywordsMathematics educationPsychologyProject-based learningPedagogyForeign languageMeaning (existential)

Abstract

fetched live from OpenAlex

The use of projects and project-based learning has recently received much attention as a way of promoting meaning-focused communication and integrating different language skills into second and foreign language classrooms. However, perspectives on the effective implementation of projects have not been fully explored. This study examines and compares ESL teachers’ and learners’ beliefs and attitudes toward project-based learning, as well as the extent and manner of project implementation in L2 classrooms. Data were collected from 118 participants (88 students and 30 teachers) through parallel written questionnaires in closed and open-ended sections, and through individual interviews. In addition to expressing positive attitudes toward projects in language classrooms, both teachers and students highlighted several advantages this approach has over traditional approaches to language teaching. However, they also expressed differing opinions on how projects should be implemented and what aspects of project-based learning should be emphasized. The implications of the findings for the effective use of projects in L2 teaching are discussed.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.822
Threshold uncertainty score0.640

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 head0.020
GPT teacher head0.257
Teacher spread0.238 · 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

Citations53
Published2016
Admission routes1
Has abstractyes

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