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Record W2944196246 · doi:10.5430/ijhe.v8n3p57

The Application of Critical Thinking in Accounting Education: A Literature Review

2018· review· en· W2944196246 on OpenAlexvenueno aff
Nurul Ezhawati Abdul Latif, Faizal Mohamed Yusuf, Nurazrin Mat Tarmezi, Siti Zalika Rosly, Zairul Nurshazana Zainuddin

Bibliographic record

VenueInternational Journal of Higher Education · 2018
Typereview
Languageen
FieldSocial Sciences
TopicEducation and Critical Thinking Development
Canadian institutionsnot available
Fundersnot available
KeywordsCritical thinkingAutonomySystematic processProcess (computing)Graduation (instrument)Quality (philosophy)PsychologyCritical systems thinkingDispositionEngineering ethicsProfessional developmentAction (physics)PedagogySociologyEpistemologyComputer scienceSocial psychologyPolitical scienceEngineeringWork in process

Abstract

fetched live from OpenAlex

Critical Thinking is the mental process of analysing or evaluating information. The review of literature reveals that higher education, in particular is now placing an emphasis upon exposing matriculates to the concept of critical thinking and challenging them to develop those skills and dispositions necessary for improving the quality of their lives. The aim of critical thinking is to promote independent thinking, personal autonomy and reasoned judgment in thought and action. This involves two related dimensions: the ability to reason well and the disposition to do so. A structured critical thinking approach was created to train professional students for their professional market-ready development and thus becoming part of comprehensive professional training for students upon graduation. It is also an area which would pave the way for further research in one of the most critical area of human development. The purpose of this paper is to demonstrate the model based on the literatures done by previous researchers thus highlighting the importance of critical thinking in professional accounting education.

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)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.888
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.033
GPT teacher head0.465
Teacher spread0.432 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations32
Published2018
Admission routes1
Has abstractyes

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