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Record W1991295526 · doi:10.5539/hes.v4n2p42

The Development of Critical Thinking in Professional and Academic Bachelor Programmes

2014· article· en· W1991295526 on OpenAlexvenueno aff
Marie Evens, An Verburgh, Jan Elen

Bibliographic record

VenueHigher Education Studies · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicEducation and Critical Thinking Development
Canadian institutionsnot available
Fundersnot available
KeywordsBachelorCritical thinkingHigher educationProfessional developmentMathematics educationPsychologyPedagogyAcademic achievementMedical educationMedicinePolitical science

Abstract

fetched live from OpenAlex

Critical thinking is an important goal in higher education. Students are expected to grow in critical thinking during their higher education programme. The present study investigates the development of critical thinking in 1134 bachelor students in Flanders, Belgium. The study followed a mixed longitudinal design. Students’ critical thinking was measured by the Scipio, a test consisting of both constructed response items and forced choice items. The analyses were split up for academic and professional bachelor students. Students in both academic and professional bachelor programmes are shown to become better critical thinkers during the first two years of study, although the specific growth patterns of both programme types are different. Professional bachelor students show a large growth in the first year of higher education, but do not improve their critical thinking during the next two years. Academic bachelors on the other hand show a moderate growth in the first year and continue developing their critical thinking during the next years, leading to a higher overall growth than professional bachelor students.

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)0.003
metaresearch head score (Gemma)0.016
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.016
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0000.001
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 head0.094
GPT teacher head0.467
Teacher spread0.373 · 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 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

Citations17
Published2014
Admission routes1
Has abstractyes

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