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Record W2986776366 · doi:10.5539/mas.v13n12p30

A Proposed Educational Role for Jordanian Universities to Integrate Education into Sustainable Development in the Educational Learning Process

2019· article· en· W2986776366 on OpenAlexvenueno aff
Maram Fuad Abu Al Nadi

Bibliographic record

VenueModern Applied Science · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicSocioeconomic Development in MENA
Canadian institutionsnot available
Fundersnot available
KeywordsChristian ministrySustainable developmentProcess (computing)Rank (graph theory)Higher educationMathematics educationEducation for sustainable developmentMedical educationPolitical scienceSociologyPsychologyComputer scienceMathematicsMedicine

Abstract

fetched live from OpenAlex

This study well shed some light on a proposed role for Jordanian universities to integrate education on sustainable development in the educational learning process, the study used the descriptive method, and a questionnaire of (30) terms has been set. The validity of the tool was verified. 300 faculty members from Jordanian official universities namely: Jordan, Yarmouk and Mutata University, were randomly selected. The study concluded the following results: -The opinion of the faculty members of Jordanian universities on the idea of integrating education with sustainable development in the educational process was moderate. - The study showed differences in statistical semantics, depending on the type of the faculty, academic rank and gender, where these indications favored the scientific colleges, professorship rank and female sex. - The study hopes that the Ministry of Higher Education will take the concept of sustainable development in the educational process to enhance cooperation between universities and public and private institutions in society, in order to develop new and innovative disciplines that meet the needs of the new stage.

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)0.012
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.012
Threshold uncertainty score0.063

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0120.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0050.004
Scholarly communication0.0080.005
Open science0.0020.005
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0070.001

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 head0.007
GPT teacher head0.293
Teacher spread0.286 · 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 designTheoretical or conceptual
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
Published2019
Admission routes1
Has abstractyes

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