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Record W2113460682 · doi:10.5539/ies.v4n3p80

An Investigation of Critical Reading in Reading Textbooks: A Qualitative Analysis

2011· article· en· W2113460682 on OpenAlexvenueno aff
Reza Zabihi, Mojtaba Pordel

Bibliographic record

VenueInternational Education Studies · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicEducation and Critical Thinking Development
Canadian institutionsnot available
Fundersnot available
KeywordsReading (process)Critical thinkingCritical readingCornerstoneReading motivationPanacea (medicine)PsychologyMathematics educationTask (project management)Computer scienceLinguistics

Abstract

fetched live from OpenAlex

As a technique for discovering and evaluating information within texts, critical reading might be a panacea for those learners whose voices and choices are muted and ignored. A crucial question is thus to ask whether and to what extent popular reading textbooks meet the criteria for the development of critical reading. To this end, the present article seeks to identify and investigate the presence of those items within reading textbooks which help promote critical reading. Based on the literature on critical thinking, the cornerstone of critical reading, a checklist is provided whose items are indicator of whether a particular text promotes critical reading or not. Moreover, it is recognized that autonomy and engagement are prerequisites for enhancement of critical reading and that they can be achieved through strategy instruction and task-based instruction, respectively. Three reading textbooks (Select Readings: Upper-intermediate, Active Skills for Reading: Book 4, and Mosaic Reading 2) are leveled against three criteria: Critical thinking items, the use of appropriate tasks, and strategic instruction. The results indicate that these textbooks meet the first criterion to some extent, but seriously lack the last two ones.

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)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.135
Threshold uncertainty score0.390

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.225
GPT teacher head0.541
Teacher spread0.317 · 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

Citations25
Published2011
Admission routes1
Has abstractyes

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