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Record W4312200302 · doi:10.51706/2707-3076-2022-7-9

FOREIGN EXPERIENCE OF PROFESSIONAL TRAINING OF INFORMATION TECHNOLOGY SPECIALISTS

2022· article· en· W4312200302 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueScientific journal of Khortytsia National Academy · 2022
Typearticle
Languageen
FieldComputer Science
TopicInnovative Educational Technologies
Canadian institutionsnot available
Fundersnot available
KeywordsProfessional developmentBachelorTraining (meteorology)Medical educationInformation technologyWork (physics)Public relationsPolitical sciencePsychologyEngineeringMedicine

Abstract

fetched live from OpenAlex

article discusses the foreign experience of professional training of IT specialists. The growth in demand for professional IT specialists in the world, and in Ukraine in particular, has been noted. At the same time, it was noted that there is a shortage of professional engineering and teaching personnel, their non-compliance with world standards, which requires analysis and systematization of the experience of professional training of information technology specialists abroad. Based on the example of some leading educational institutions in Europe, Asia, Canada, and the USA, included in the Academic Ranking of World Universities (ARWU), an overview of training systems for future IT specialists was made. Theoretical generalization proved the absence of such a unified system. The peculiarities of the training of IT specialists abroad are highlighted and summarized: basic training is carried out during the first and second years of study; students can choose additional disciplines at their own discretion; specialties have a significant share of the practical training component; in the third or fourth year of study, students choose a specialization according to which they study a certain list of disciplines offered for in-depth study; while studying at the bachelor's level, students can participate in scientific research in the field of information technologies. Recommendations for improving the system of professional training of future information technology specialists in higher education institutions of Ukraine were formulated: prompt response to changes occurring in science and technology, to the demands of the labor market; focus on the formation of responsibility, leadership skills, the ability to work in a team; creation of the student's individual educational trajectory; involvement of potential employers in professional training; formation of the ability to carry out oral and written communication, to interact with colleagues and employers, to know the rules of business etiquette; combination of learning and practice.

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.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.135
Threshold uncertainty score0.394

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0000.001
Scholarly communication0.0000.002
Open science0.0020.001
Research integrity0.0000.001
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 head0.050
GPT teacher head0.334
Teacher spread0.284 · 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