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Record W4390055602 · doi:10.53555/sfs.v10i1.1888

Breaking Barriers: Fostering Effective Technical Communication Training Across Corporate And Academic Sectors

2023· article· en· W4390055602 on OpenAlexvenueno aff
Kunal Srivastava, Ashish Ranjan Sinha, Ashutosh Shukla

Bibliographic record

VenueJournal of Survey in Fisheries Sciences · 2023
Typearticle
Languageen
FieldEngineering
TopicEngineering Education and Curriculum Development
Canadian institutionsnot available
Fundersnot available
KeywordsCurriculumTechnical communicationTraining (meteorology)Public relationsWork (physics)Professional communicationTechnical writingProfessional developmentEngineering ethicsHigher educationBusinessKnowledge managementEngineeringSociologyPedagogyPolitical scienceManagementComputer science

Abstract

fetched live from OpenAlex

The present study investigates the obstacles and prospects linked to improving technical communication instruction in academic and corporate settings. The necessity for business and academic training programs to seamlessly integrate becomes critical as the demand for excellent communication skills in the professional sector rises. This study explores the current roadblocks that prevent technical communication training from moving forward and suggests ways to improve cooperation, close gaps, and provide a more seamless learning environment. Technical communication degrees offered by colleges and universities are proliferating at an astonishing rate. In-house training programs and industry-serving writing consultants have become more prevalent at the same time. The philosophical, practical, environmental, and goal distinctions are apparent: academics aim to "educate," whereas workplaces aim to "train." However, for technical communication to advance as a discipline and a professional sector, education institutions must collaborate to create curricula that are genuinely helpful to all teaching locations. Despite numerous attempts to bridge the long-standing divide between academics and practitioners in technical communication, the field has not yet come together as a cohesive group. To determine the reasons behind the breach, this study examines the field's past. The paper uses information gathered from interviews with academics and practitioners to evaluate the current state of the academic and industry environments surrounding technical communication. Beneficial curriculum would equip students to work efficiently in an organizational setting, to expedite information generation and transfer procedures within the business, and to quickly adjust to the ever-changing landscape of technical communication. Education and training can and ought to complement one another. Increasing awareness among technical communicators about what the other group does, altering the paradigm for research and faculty requirements for technical communication academics, and working together to develop more internships for students in the field of technical communication are some ways to close the gap between academics and practitioners and create an environment that is supportive of collaborative research

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.051
Threshold uncertainty score0.335

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.217
GPT teacher head0.321
Teacher spread0.105 · 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

Citations0
Published2023
Admission routes1
Has abstractyes

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