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Record W4226329980 · doi:10.5430/wjel.v12n3p103

Communication Skills among University Students

2022· article· en· W4226329980 on OpenAlexvenueno aff
Shagufta N Ansari, Pramod Kumar, Vipin Jain, Guroo Narayan Singh

Bibliographic record

VenueWorld Journal of English Language · 2022
Typearticle
Languageen
FieldPsychology
TopicCommunication in Education and Healthcare
Canadian institutionsnot available
Fundersnot available
KeywordsFeelingCommunication skillsPsychologyClass (philosophy)Mathematics educationMedical educationQuestionnairePedagogySocial psychologyComputer scienceMedicineMathematics

Abstract

fetched live from OpenAlex

Communication skills may be defined as sharing views, emotions, feelings, etc. with others. Communicating abilities are among the general talents that are required of college learners. Participants would have been subjected to circumstances, both within and outdoors of the auditoriums, where they would have had to apply their communicating abilities, such as groups discussion and class performances, throughout their undergrad days. As a result, the purpose of this study is to look at the degree of communicative abilities amongst college graduates. A self-administered assessment was used to evaluate communicative abilities, which included 10 characteristics such as oral, written, and sociable conduct. The questionnaire's repeatability was high, with r > 0.08 for each subcomponent. According to the findings of this survey, undergraduate learners have developed strong communications abilities. The future of communication skills will be bright as schools and universities begin to educate their pupils.

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)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.014
GPT teacher head0.347
Teacher spread0.333 · 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 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

Citations9
Published2022
Admission routes1
Has abstractyes

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Same venueWorld Journal of English LanguageSame topicCommunication in Education and HealthcareFrench-language works237,207