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Record W2556656922 · doi:10.5430/jct.v5n2p119

Assessing the Degree of Possessing Study Skills by the Students of Tafila Technical University from Their Perspectives

2016· article· en· W2556656922 on OpenAlexvenueno aff
Atallah A. Al roud, Ahmad Mahmoud Thawabiah

Bibliographic record

VenueJournal of Curriculum and Teaching · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicOnline and Blended Learning
Canadian institutionsnot available
Fundersnot available
KeywordsChristian ministryDegree (music)CurriculumMedical educationPsychologyMathematics educationSample (material)Subject (documents)PopulationPedagogyMedicineSociologyDemographyLibrary sciencePolitical scienceComputer science

Abstract

fetched live from OpenAlex

The study aimed to identify the degree of possessing study skills (SS) by the students of Tafila Technical (TTU)University from their perspectives. The population of the study consisted of 5015 students in TTU for the secondsemester of the academic year 2015/2016. The sample of the study was chosen randomly from the population of thestudy with a number of 415 male and female students. The results indicated that the degree of possessing SS bystudents was mid and there are statistically significant differences attributed to the variables of gender and faculty.The researchers recommend that the Ministry of Education should take into account this important subject to beadopted in the curricula at schools. The universities should also adopt this course for students from the beginning ofjoining a university.

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)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
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 head0.021
GPT teacher head0.350
Teacher spread0.329 · 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 designQualitative
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

Citations1
Published2016
Admission routes1
Has abstractyes

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