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Record W4406403594 · doi:10.5539/jel.v14n3p85

Enhancing Learning Efficiency and Critical Thinking Skills of Vocational Nursing Students: A Hybrid Instructional Approach Based on Cooperative Learning and Project-Based Learning

2025· article· en· W4406403594 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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJournal of Education and Learning · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicProblem and Project Based Learning
Canadian institutionsnot available
Fundersnot available
KeywordsVocational educationPsychologyCritical thinkingMathematics educationExperiential learningCooperative learningActive learning (machine learning)Teaching methodPedagogyComputer scienceArtificial intelligence

Abstract

fetched live from OpenAlex

The purpose of this study is to examine the design and implementation process of Project-Based Cooperative Learning (PBCL) teaching models. The research initially introduces the theoretical framework, encompassing cooperative learning theory, project-based learning theory, and the theory of PBCL. Subsequent sections elaborate on the construction of the PBCL teaching model, focusing on the design of teaching objectives, integrating cooperative and project-based learning, the provisioning of learning resources and support, and the establishment of evaluation and feedback mechanisms. Building upon this foundation, the study delineates the steps to implement PBCL teaching methods, including pre-class preparations, project initiation, collaborative learning and project implementation, project summarization and evaluation, and post-class extension. Finally, the study analyzes the strengths and limitations of this teaching approach. The strengths include deep learning experiences, enhanced collaborative abilities, and the cultivation of critical thinking skills. However, limitations are evident in the greater practical input and resource demands, inadequacies in the capabilities of some students, and deficiencies in assessment effectiveness.

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)0.010
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.458
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
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 head0.010
GPT teacher head0.364
Teacher spread0.354 · 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