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Record W2769664911 · doi:10.5539/mas.v11n12p68

Perceptions towards Online Counseling among University of Jordan Students

2017· article· en· W2769664911 on OpenAlexvenueno aff
Adel Tannous

Bibliographic record

VenueModern Applied Science · 2017
Typearticle
Languageen
FieldPsychology
TopicDigital Mental Health Interventions
Canadian institutionsnot available
Fundersnot available
KeywordsRespondentPerceptionPsychologyMedical educationThe InternetFace-to-faceService (business)Applied psychologyMedicineComputer scienceWorld Wide WebMarketing

Abstract

fetched live from OpenAlex

Technology and the use of internet has taken counseling service beyond the face-to-face to online counseling services. Online counseling has been available and widely used as more people are going online. Therefore this research aims to examine the perceptions of University of Jordan students toward online counseling. A sample of 210 respondents were selected to complete online questionnaire that contains two aspects of knowledge about and attitude toward online Counseling. The results of the study indicated that respondents have adequate information about the field of online counseling. However, face to face counseling was not the first preferences for most of the respondents. They have a positive attitude and a high level of preferring toward online counseling, and they believe that online counseling is an essential part of their way to deal with daily life problems. The results also indicated that social media is most effective way that help respondents to get online counseling, and it has tremendous effect on respondent's life.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.837
Threshold uncertainty score0.663

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.046
GPT teacher head0.389
Teacher spread0.343 · 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

Citations16
Published2017
Admission routes1
Has abstractyes

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