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Record W2915819767

Investigating the Relationship between Washback and Curriculum Alignment: A Literature Review

2018· review· en· W2915819767 on OpenAlexaff
Nasreen Sultana

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2018
Typereview
Languageen
FieldSocial Sciences
TopicEducational Assessment and Pedagogy
Canadian institutionsQueen's University
Fundersnot available
KeywordsCurriculumMathematics educationPsychologyComputer sciencePedagogy
DOInot available

Abstract

fetched live from OpenAlex

Abstract: “Washback” and “curriculum alignment,” two dominant fields in education, are well researched individually but rarely are studied together. The purpose of this article is to understand the connection between these two areas and to search for an existing link between them. Scoping review has been used as a method to synthesize the existing washback and curriculum alignment studies to conduct a systematic review. This literature review illustrates that both curriculum alignment and washback studies look at classroom instruction; thus, alignment studies could be a new avenue for washback research if curriculum alignment produces the washback effect on classroom teaching and learning. This paper contributes to the existing literature of both the fields under discussion by mapping out the evidential links between them. The study concludes that by looking at the curriculum alignment and washback together we can expect richer insight of how an aligned educational system can reduce negative exam influence on classroom instruction.

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)0.006
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.608
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.002
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0030.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.563
GPT teacher head0.664
Teacher spread0.100 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations6
Published2018
Admission routes1
Has abstractyes

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