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Record W2791245005 · doi:10.5430/wje.v8n1p111

Effects of Analytical and Holistic Scoring Patterns on Scorer Reliability in Biology Essay Tests

2018· article· en· W2791245005 on OpenAlexvenueno aff
Casmir N. Ebuoh

Bibliographic record

VenueWorld Journal of Education · 2018
Typearticle
Languageen
FieldComputer Science
TopicDigital Imaging for Blood Diseases
Canadian institutionsnot available
Fundersnot available
KeywordsPearson product-moment correlation coefficientReliability (semiconductor)Test (biology)Data collectionMoment (physics)Scoring systemMathematics educationBiologyPsychologyStatisticsMedicineMathematicsInternal medicineEcology

Abstract

fetched live from OpenAlex

Literature revealed that the patterns/methods of scoring essay tests had been criticized for not being reliable and thisunreliability is more likely to be more in internal examinations than in the external examinations. The purpose of thisstudy is to find out the effects of analytical and holistic scoring patterns on scorer reliability in biology essay tests inEnugu Education Zone of Enugu State. Post-test only control group design was used. All the 212 Biology teachersfrom the thirty one secondary schools in Enugu Education Zone of Enugu State were used. The researcher constructedBiology essay test (BET) with scoring guide on biology essay tests (SGBET) for data collection. The research questionwas answered using Pearson’s Product moment correlation coefficient (r). The hypothesis was tested using t-test. Theresults showed that the use of the holistic scoring pattern was found to be the most reliable followed by analyticalscoring pattern. Recommendations were made based on the findings of the study.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.058
Threshold uncertainty score0.221

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.017
GPT teacher head0.333
Teacher spread0.316 · 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 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

Citations2
Published2018
Admission routes1
Has abstractyes

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