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Record W2884790191 · doi:10.5430/ijhe.v7n4p26

Place of Critical Thinking in EFL

2018· article· en· W2884790191 on OpenAlexvenueno aff
İrfan Tosuncuoğlu

Bibliographic record

VenueInternational Journal of Higher Education · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicEducation and Critical Thinking Development
Canadian institutionsnot available
Fundersnot available
KeywordsCritical thinkingMathematics educationPerceptionProcess (computing)PsychologySystematic processField (mathematics)PedagogyComputer scienceWork in processMathematicsEngineering

Abstract

fetched live from OpenAlex

Developing the ability to think critically is vital component of real, meaningful teaching and learning. Critical thinking helps us solve problems, make decisions and reach our goals. Thinking is not a passive but an active process. If students’ critical thinking skills are activated, for example while writing, very successful results can be attained. It can be said that critical thinking can be considered in two respects: to achieve a goal and to make a decision. As for teaching, there is very little evidence that students at universities acquire the skills of critical thinking in their learning and teaching activities. In accordance with its important place of in learning and teaching periods, it has been a concept recently highlighted in the field of EFL, like in many other fields of education such as mathematics, history and geography. The skill of critical thinking plays a great role and it has been accepted as an important step in every area of teaching and learning, particularly nowadays due to developments cognition and intelligence. So, in order to understand the awareness of the students for critical thinking, an experiment was performed in the fall of AY 2017-18, with 79 students in Karabuk University, Turkey. In this study, the significance of critical thinking and result of the experiments were discussed in detail, it also shed light on the students’ perceptions of it.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.463
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 head0.028
GPT teacher head0.424
Teacher spread0.396 · 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.

Study designTheoretical or conceptual
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

Citations37
Published2018
Admission routes1
Has abstractyes

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