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Record W2943138146 · doi:10.5539/ies.v12n5p68

A Proposed Strategy for Managing Change in Value System and Knowledge Structure: A Case Study of Private University Students in Jordan

2019· article· en· W2943138146 on OpenAlexvenueno aff
Ahmad Rabee

Bibliographic record

VenueInternational Education Studies · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicSocioeconomic Development in MENA
Canadian institutionsnot available
Fundersnot available
KeywordsValue (mathematics)Sample (material)Mathematics educationHigher educationValue systemsPsychologySociologyPolitical scienceMathematicsSocial scienceStatisticsPhysics

Abstract

fetched live from OpenAlex

Every nation depends on its knowledge framework and value system in order to survive. For this reason, this study was focused on identifying a proposed strategy for managing the change in the value system and the knowledge structure of private university students in Jordan. Also, to point out the need for students to own their procedures, the sample consisted of a random sample of 279 faculty members. The results of the study showed that the highest areas of the use of faculty members in the field of educational procedures have an average of 3.25 with a class of Medium, and the students’ need for owning the measures of management changed significantly. The system of values and knowledge of the students in private universities in Jordan in the field of educational procedures have an average of 3.36. The study reached a proposed vision for building a strategy to manage the change in the value system and the knowledge structure of private university students in Jordan in an environment where students feel reassured and whereby tranquility affects their behavior, values, and attitudes.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.603
Threshold uncertainty score0.690

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.072
GPT teacher head0.416
Teacher spread0.344 · 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 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

Citations0
Published2019
Admission routes1
Has abstractyes

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