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Record W2994544299

The Degree of Using Alternative Assessment Strategies by the Teachers of the First Three Grades in the Tabuk Region: Survey Study

2016· article· en· W2994544299 on OpenAlexvenueno aff
Essa Joudallah Al-Harbi

Bibliographic record

VenueCanadian social science · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicStudent Assessment and Feedback
Canadian institutionsnot available
Fundersnot available
KeywordsDegree (music)Sample (material)PsychologyMathematics educationEstimationStatisticsMedical educationMathematicsMedicineManagementEconomics
DOInot available

Abstract

fetched live from OpenAlex

The main aim of this study is to find out the degree of employment of alternative assessment strategies in the first three grades’ teachers at schools in Tabuk region. The sample of the study includes (75 male teachers and 95 female teachers) the total number of the sample is 165 subjects. The instrument of the study was developed based on the alternative assessment strategies. The psychometric characteristics of the instrument of the studies were determined. The results of the study showed that the most often used strategy by teachers is the paper and pencil strategy. Then the strategy of self-correction. The least used strategy is the observation strategy. The study also showed that female and male teacher’s estimation of the degree of employment was in general about average/in the middle. This study showed that there were no significant differences in the degree of employment of alternative assessment strategies among the first three grades’ teachers due to gender or experience. Nevertheless, there are significant differences in the degree of employment of the strategy of performance, paper and pencil and communication strategies due to the grade of the students. The study recommended conducting further studies on alternative assessments studies

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.527
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0030.005
Scholarly communication0.0000.000
Open science0.0030.000
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 head0.151
GPT teacher head0.388
Teacher spread0.238 · 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; both teacher heads agree on what is shown here.

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

Citations0
Published2016
Admission routes1
Has abstractyes

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