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Record W2586630093 · doi:10.5539/elt.v10n3p111

Attitudes towards Communication Skills among Engineering Students

2017· article· en· W2586630093 on OpenAlexvenueno aff
Mirjana Matea Kovač, Nina Sirković

Bibliographic record

VenueEnglish Language Teaching · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicEducation and Critical Thinking Development
Canadian institutionsnot available
Fundersnot available
KeywordsCommunication skillsPsychologyScale (ratio)Engineering educationMedical educationPopulationMathematics educationEngineeringMedicine

Abstract

fetched live from OpenAlex

Good communication skills are of utmost importance in the education of engineering students to promote not only their education, but also to prepare them for the demanding and competitive job market. The purpose of this study was to compare the attitudes towards communication skills after formal instruction between the students of engineering studies in the first and sixth semesters. Data were collected using the Communication Skills Attitude Scale (CSAS) which consisted of 14 items. The target population included 31 students of engineering studies who attended the communication skills course in the first semester, and 31 students of engineering studies who attended the same course just before completion of the undergraduate study programme. The results are in accordance with previous studies suggesting that senior and more mature students have higher positive attitudes compared to students at the beginning of their undergraduate studies. Although both groups had noticeable positive attitudes towards learning communication skills, negative attitudes should also be taken into consideration and attempt should be made to decrease or eliminate them.

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)0.002
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.665
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0010.000
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 head0.013
GPT teacher head0.359
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 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

Citations28
Published2017
Admission routes1
Has abstractyes

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