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Record W2129680752 · doi:10.5539/ass.v4n1p3

The Roles of Teachers in Implementing Educational Innovation: The Case of Implementing Cooperative Learning in Vietnam

2007· article· en· W2129680752 on OpenAlexvenueno aff
Thanh Pham

Bibliographic record

VenueAsian Social Science · 2007
Typearticle
Languageen
FieldPsychology
TopicInnovative Teaching and Learning Methods
Canadian institutionsnot available
Fundersnot available
KeywordsVietnamesePerceptionCooperative learningClass (philosophy)Mathematics educationPsychologyPedagogyTeaching methodComputer science

Abstract

fetched live from OpenAlex

Since the late 1990s there has been a top-down movement to reform teaching and learning approaches in Vietnam. An important component of this reform is to change the traditional teaching and learning approach into cooperative learning. However, cooperative learning has failed to make its impact on the current teaching and learning approach. This paper examines one of the most important constraints on the implementation of cooperative learning in Vietnam, namely, perceptions of Vietnamese teachers toward the roles and responsibilities of teachers in class. It argues that many principles of cooperative learning are in serious conflict with traditional perceptions of Vietnamese teachers regarding the nature of teaching and learning. Therefore, policymakers and educators need to take cautious steps when implementing such radical approaches in Vietnamese educational settings. If they want to obtain support from teachers, they cannot merely borrow the original version of the innovation. Rather, they need to take various modifications into consideration.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.021
metaresearch head score (Gemma)0.023
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.051
Threshold uncertainty score0.109

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0210.023
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0120.010
Scholarly communication0.0080.004
Open science0.0020.006
Research integrity0.0040.004
Insufficient payload (model declined to judge)0.0020.000

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 head0.038
GPT teacher head0.446
Teacher spread0.408 · 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 source (direct Gemma or distilled Codex), 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

Citations25
Published2007
Admission routes1
Has abstractyes

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