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University Students’ Communication Skills as a Determinant of Academic Achievement

2020· article· en· W3040228591 on OpenAlexaboutno aff
Ashfaque Ahmad Shah, Zunaira Fatima Syeda, Sehrish Naseer

Bibliographic record

VenueSir Syed Journal of Education & Social Research (SJESR) · 2020
Typearticle
Languageen
FieldPsychology
TopicCommunication in Education and Healthcare
Canadian institutionsnot available
Fundersnot available
KeywordsCommunication skillsPsychologyMathematics educationAcademic achievementMedical educationPopulationMedicine

Abstract

fetched live from OpenAlex

This study investigates into the academic achievement of university students as determined by their communication skills. The differences in groups were measured on the basis of gender, locality, semester and program of the study. The researchers developed their research instrument by adapting from the two questionnaires. One was the research instrument used at the College of Physiotherapists of Ontario (n.d.); and the other was the “Questionnaire-Verbal Communication” (Pierrete Desrosiers, n.d.). Taking Sargodha district as the population, conveniently sampled 160 students from the University of Sargodha were surveyed through the questionnaire. The study was quantitative in nature. The findings of the study concluded that students’ communication skills yielded statistically no effect on their academic achievement. Also, the students at all levels (semesters) and in all programs were reported to have comparably equivalent level of communication skills. This is a unique study of insignificant differences at all levels and programmes; and statistically no interpretable effect of the communication skills of the students from University of Sargodha, on their academic achievement. It challenges previous research studies. It is further recommended to study the same phenomena in further detail to make decisive remark in the research literature.

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)0.001
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.386
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0020.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.170
GPT teacher head0.551
Teacher spread0.380 · 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 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

Citations8
Published2020
Admission routes1
Has abstractyes

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