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Record W119574240 · doi:10.15368/theses.2011.151

The Education Reform of TAP and Value-Added Assessment: Teacher Merit Pay that Reinvigorates Standardized Testing and Detracts from 21st Century Learning Skills

2011· dissertation· en· W119574240 on OpenAlexfundno aff
Shawn Scharer Greenelsh

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldSocial Sciences
TopicDiverse Education and Engineering Focus
Canadian institutionsnot available
FundersYork UniversityAmerican Psychological AssociationEducational Testing ServiceNational Academy of EducationAmerican Educational Research Association
KeywordsStandardized testCurriculumEnforcementNo child left behindLearning standardsGovernment (linguistics)Reform movementPolitical scienceMathematics educationPedagogyPsychologyAccountability

Abstract

fetched live from OpenAlex

In the last two decades, ignoring the bulk of educational research findings, policymakers shaped educational policy into a standardized testing movement that now dominates education. Now, to comply with No Child Left Behind, teachers and administrators shape curriculum in a way that maximizes student achievement measured by these tests. Recently, business and educational leaders initiated a reform movement to broaden curriculum, narrowed by this inadequate standardized testing movement, so that necessary 21st century learning skills can be practiced through project-based learning. The Federal Government’s enforcement of power over education created the climate that defined the current educational policy that gave birth to the standardized testing movement. In this climate, this reform to boost 21st century learning skills does not gain practical traction that results in changed policy, because it is impossible for standardized testing to assess most of these skills and this type of learning due to the limitations of bubbled-multiple choice questions. Instead of shaping policy to foster these 21st century learning skills, policymakers push another reform, through TAP (The System for Teacher and Student Advancement) and Value-Added Assessment. This reform attempts to improve instruction through teacher merit pay--a device that has failed many times in educational reform history. Unfortunately, most TAP systems use standardized tests as the only student achievement measurement, so almost all student achievement gains involving 21st century learning skills and project-based learning are not officially measured. Efforts to use portfolios and authentic assessment, the measurement tools that should be used to measure these higherlevel skills, are not supported by policymakers, because the lack of standardization requires more trust in the assessment ability of local school districts and communities. Consequently, a massive disconnect exists where standardized testing is being reinvigorated instead of de-emphasized, and this comes with the potential price of many teachers and administrators not embracing 21st century learning skills and project-based learning as much as they could if they were not bound by standardized test results. Ultimately, these two reforms that contradict each other involve larger issues of jurisdictional power over education at federal, state, and local levels, and ideological challenges to teacher job security and teacher representation.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.021
metaresearch head score (Gemma)0.060
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.021
Threshold uncertainty score0.119

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0210.060
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0040.015
Scholarly communication0.0090.011
Open science0.0010.009
Research integrity0.0080.018
Insufficient payload (model declined to judge)0.0060.002

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 head0.017
GPT teacher head0.302
Teacher spread0.284 · 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 source (direct Gemma or distilled Codex), not a consensus.

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

Citations0
Published2011
Admission routes1
Has abstractyes

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