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Record W1593425490

Is Critical Reading Indispensible to College English for General Purpose in China

2014· article· en· W1593425490 on OpenAlexvenueno aff
Hong Ma, Zhiyuan Pan

Bibliographic record

VenueCross-cultural communication · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicEducation and Critical Thinking Development
Canadian institutionsnot available
Fundersnot available
KeywordsCritical thinkingCritical readingReading (process)Mathematics educationReading comprehensionClass (philosophy)ComprehensionCritical practiceCollege EnglishPsychologyPedagogyComputer scienceSociologyLinguisticsSocial science
DOInot available

Abstract

fetched live from OpenAlex

This paper aims to depict the current situation of application of critical reading skills and strategies among the undergraduates in reading books in English in a local university in the coastal city in China. The findings turn out that critical thinking strategies are used neither automatically nor frequently among the undergraduates. The findings are complemented by data collections from classroom observations, interviews, questionnaire, reading comprehension tests and notes taken in class. In order to have a better understanding of the reasons underlying the infrequent use of critical reading skills and strategies, a qualitative study was conducted in 12 volunteers. This study also reveals that college English for general purpose has, to some extent, contributed to improvement of students’ use of critical thinking skills in reading. It is worth pointing out that the role of College English for General Purpose is not merely for imparting use of English to students but also taking on a vital role of cultivating students’ critical thinking and enhancing the application of critical thinking skills and strategies in reading. This paper has implications for college English teachers in their teaching practice for desirability of enhancing critical thinking in college students. Explicit and systematic teaching of critical thinking strategies is surely encouraged, complete with critical writing in the process of teaching College English for the General Purpose.

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)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.853
Threshold uncertainty score0.742

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
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 head0.040
GPT teacher head0.414
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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations5
Published2014
Admission routes1
Has abstractyes

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