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Reading Comprehension Strategy Instruction in a First-Year Course: An Instructor's Self-Study

2013· article· en· W2107776065 on OpenAlexaffvenue
Cynthia Parr, Vera Woloshyn

Bibliographic record

VenueThe Canadian Journal for the Scholarship of Teaching and Learning · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicEducation and Critical Thinking Development
Canadian institutionsBrock UniversityGeorgian College
Fundersnot available
KeywordsReading comprehensionPsychologyRepertoireComprehensionContext (archaeology)PedagogyHumanitiesReading (process)LinguisticsPhilosophyArt

Abstract

fetched live from OpenAlex

The primary purpose of the study described here was to document the first author’s experiences delivering a repertoire of evidence-based comprehension strategies in context of a first-year university course. We first provide an overview of the literature related to students’ transition into the postsecondary environment, arguing for the need to engage in comprehension strategy instruction within first-year courses. We then overview the literature related to the provision of comprehension instruction to selected groups of postsecondary students. We next outline the study methodology including a description of the instructional program provided here. In an attempt to provide insights for others who may wish to provide similar instruction, we conclude by discussing emerging themes related to student learning and curriculum design as related to strategy instruction at the postsecondary level. L’objectif principal de l’étude décrite dans cet article est de documenter les premières expériences de l’auteur à présenter un répertoire de stratégies de compréhension basées sur l’évidence dans le contexte d’un cours universitaire de première année. Nous présentons tout d’abord un aperçu général de la documentation qui existe sur la transition des étudiants vers l’environnement post-secondaire en exposant le besoin de s’investir dans l’enseignement de stratégies de compréhension dans les cours de première année. Ensuite, nous exposons un aperçu de la recherche qui traite de l’enseignement de la compréhension à des groupes ciblés d’étudiants du niveau post-secondaire, puis nous énonçons la méthodologie de l’étude, y compris la description du programme d’enseignement présenté dans cet article. Pour tenter de fournir des informations à ceux qui souhaiteraient pratiquer un tel enseignement, nous concluons en discutant les nouveaux thèmes liés à l’apprentissage des étudiants et à la conception de programmes d’études qui se rapportent à l’enseignement de stratégies au niveau post-secondaire.

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)0.007
metaresearch head score (Gemma)0.001
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.080
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0070.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.002
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 head0.043
GPT teacher head0.339
Teacher spread0.296 · 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 designObservational
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

Citations16
Published2013
Admission routes2
Has abstractyes

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