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Record W4226212805 · doi:10.5430/wjel.v12n3p18

Role of Communication Skills: A Review

2022· review· en· W4226212805 on OpenAlexvenueno aff
Shalini Saxena, Prachi Rastogi, Sh. Sachin Gupta, Sam Raj Nesamony

Bibliographic record

VenueWorld Journal of English Language · 2022
Typereview
Languageen
FieldSocial Sciences
TopicEducation and Critical Thinking Development
Canadian institutionsnot available
Fundersnot available
KeywordsScope (computer science)Communication skillsField (mathematics)PopulationComputer sciencePsychologyPublic relationsKnowledge managementMedical educationSociologyPolitical science

Abstract

fetched live from OpenAlex

The word “Communication” may be defined as the data by which anyone could share their views, data, emotions of any other person, place, etc. Nowadays, in many organizations, people are facing problems communicating (cannot share their views with others due to lack of communication skills.). In any field, one should be expressive so that they can share their views, data, emotions, etc., with others. This study was carried out to find out the elements that contribute to students' low performance and find solutions to improve teaching and learning of communications at the University of Education in Winneba. The purpose of the review was to highlight suggestions and recommendations on how the communication skills training might be improved. To this end, the investigator has employed interviews, observations, and documents to collect information to answer questions to be answered by this research. The study focused on all the students of the second year and communications professionals as their entire population but used the objectives. In this paper, the author discussed communication as many people cannot share their views with others due to lack of communication. The future scope of communication is wide as it is used for making others understand. It is effective, flexible anyone can understand and it is important for the functioning of any organization.

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)0.003
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.956
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.028
GPT teacher head0.374
Teacher spread0.346 · 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.

Study designNot applicable
Domainnot available
GenreReview

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

Citations3
Published2022
Admission routes1
Has abstractyes

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