MétaCan
Menu
Back to cohort
Record W4226517335 · doi:10.5430/wjel.v12n3p149

Critical Thinking Process and Its Effect on Engineering

2022· article· en· W4226517335 on OpenAlexvenueno aff
Ram Murat Verma, Manita Devi, Sunita Bishnoi, Ravindra Komal Chand Jain

Bibliographic record

VenueWorld Journal of English Language · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicEducation and Critical Thinking Development
Canadian institutionsnot available
Fundersnot available
KeywordsArgument (complex analysis)Construct (python library)Critical thinkingProcess (computing)EpistemologyAction (physics)Point (geometry)Reflection (computer programming)Vertical thinkingCritical reflectionComputer sciencePsychologyConvergent thinkingSocial psychologyCreative thinkingPedagogyPhilosophyMathematics

Abstract

fetched live from OpenAlex

Critical thinking is the efficient and active process of synthesizing, analysing, integrating, conceptualizing, or/and evaluating knowledge produced or obtained by communication, reason, reflection, experience, or observation as a guide to action and belief. The effect of one point is determined by the reactions of others. When building arguments, highly practicing thinkers see the invalidity of their theories as a result of criticisms of others as well as possible refutations of their own. Communication, both external and internal, is a process that makes someone new while undergoing development. This technique can help to clarify the definition of critical thinking as a theoretical concept, a quantitative skill, as well as an educational objective, and therefore as a theoretical concept, a quantitative skill, and an instructional objective. We examined several perspectives and stages of critical thinking, such as observation, analysis, and communication, in this study. Critical thinking is an intellectual endeavour in which students learn to identify or construct an argument, use evidence to substantiate that argument, draw appropriate conclusions, and use knowledge to solve problems.

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)0.002
metaresearch head score (Gemma)0.006
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 score0.625
Threshold uncertainty score0.660

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.006
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)0.0010.000

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 head0.009
GPT teacher head0.309
Teacher spread0.300 · 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

Citations3
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueWorld Journal of English LanguageSame topicEducation and Critical Thinking DevelopmentFrench-language works237,207