MétaCan
Menu
Back to cohort

Using Bloom’s Taxonomy to Gauge Students’ Reading Comprehension Performance

2010· article· en· W1676350812 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueCanadian social science · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicEducational Assessment and Pedagogy
Canadian institutionsnot available
Fundersnot available
KeywordsReading comprehensionComprehensionTaxonomy (biology)PsychologyCompetence (human resources)HumanitiesReading (process)LinguisticsPhilosophySocial psychologyEcology

Abstract

fetched live from OpenAlex

Assessment is an essential part of the teaching-learning process. Students’ learning can be measured by different procedures. Despite a significant increase in test procedures, numerous issues surrounding testing of comprehension remain unresolved. This paper investigates the relationship between the level of thinking processes in comprehension questions and the students` performance. The findings indicate that the level of questions designed according to Bloom’s Taxonomy influence the students’ performance in answering comprehension questions. The findings conclude that there’s a relationship between the level of thinking processes needed and the students’ ability to answer these questions correctly. This paper provides a common base for further discussionsont the undergraduates’ competence in English Language as well as the recommendations on the techniques that could be used to handle higher order level questions. Keywords: Level of thinking process; Reading Comprehension Questions; Performance; Bloom’s Taxonomy; Multiple choice questions (MCQs) Resume: L'evaluation est une partie essentielle du processus de l'enseignement-apprentissage. L'apprentissage des eleves peut etre mesure par des procedures differentes. Malgre un accroissement significatif dans les procedures de test, de nombreuses questions concernant les tests de comprehension restent non resolues. Cet article etudie la relation entre le niveau des processus de pensee dans les questions de comprehension et de la performance des etudiants. Les resultats indiquent que le niveau de questions concues selon la taxonomie de Bloom influence sur la performance des eleves dans leurs reponses aux questions de comprehension. Les resultats concluent qu'il y a une relation entre le niveau de processus de pensee necessaire et la capacite des eleves a repondre a ces questions correctement. Ce document fournit une base commune pour des discussions plus approfondies sur la competence de l'anglais des eleves de premier cycle, ainsi que les recommandations sur les techniques qui pourraient etre utilisees pour traiter des questions d'un plus haut niveau.Mots-cles: niveau de processus de pensees; questions sur la comprehension ecrite; performance; taxonomie de Bloom; questions de choix multiple (MCQs)

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.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.838
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0030.001
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 head0.121
GPT teacher head0.423
Teacher spread0.302 · 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