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Record W4319156547 · doi:10.31521/modecon.v35(2022)-08

Priorities of Formation of the Educational Environment: Global and Local Features

2022· article· en· W4319156547 on OpenAlexaboutno aff
Olga Vyshnevska, Тетяна Кущова

Bibliographic record

VenueModern Economics · 2022
Typearticle
Languageen
FieldComputer Science
TopicEducational Innovations and Challenges
Canadian institutionsnot available
Fundersnot available
KeywordsProcess (computing)DigitizationKnowledge managementComputer scienceInformation and Communications TechnologyField (mathematics)Psychology

Abstract

fetched live from OpenAlex

Abstract. Introduction. Modern educational opportunities allow to expand the verbal, communicative, logical and analytical abilities of the individual. Gaining additional knowledge and skills in the field of general competencies determines the ability to search, perceive, analyze, interpret, evaluate information, express opinions, understand principles, phenomena and processes, critically evaluate facts, identify possible alternatives and make decisions. Purpose. The solution can be provided by the development of the educational environment in the field of adult education through the interaction of the provider that offers and provides educational services, androgynous, which provides direct educational services and the adult learner. For the domestic educational space, the development of adult education is at an early stage and requires the implementation of common tasks by all participants in the educational environment in order to ensure the effectiveness and efficiency of the planned areas. Results. Educational programs are actively implemented and joint educational projects are implemented in the direction of formation of professional and social knowledge, skills and abilities, general educational competencies taking into account trends in information technology development, use of artificial intelligence, digitization process and media distribution. The information environment has a significant impact on the consciousness of each individual and requires the acquisition of relevant knowledge and skills in order to adapt, socialize. Such mechanisms for spreading the field of media education are aimed at increasing the level of information literacy and effective interaction between participants in the educational process. The authors investigate the essence and priorities of the formation of the educational environment in view of global processes and phenomena, individual needs of the individual in the formation of individual educational trajectory, professional and social competencies. The importance of developing general competencies for adaptation in the global society is proved. The priority directions of development of the educational environment on the experience of other countries of the world and interaction between the participants in the field of adult education are determined. The relevance of effective partnership in the implementation of interaction mechanisms is determined. The authors emphasize the need to use best practices in the field of media education and dissemination of knowledge and skills in order to develop logical and analytical skills. It is stipulated that the information environment has a significant impact on the consciousness of each individual and requires the acquisition of relevant knowledge and skills in order to adapt to the information space. Such mechanisms for the dissemination of media education are aimed at increasing the level of information literacy and effective interaction, as evidenced by the experience of the United States and Canada. Conclusions. The result is the ability to adequately use information and critically perceive information messages. The authors proved that the implementation of the tasks in the educational environment will enhance the capacity to provide general competencies that provide opportunities for critical thinking, perception and understanding of the media, logical thinking and adequate perception of information that enhances its influence and expands spheres of interaction at all levels: from local to global, from global to local).

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.002
Scholarly communication0.0040.002
Open science0.0000.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.210
Teacher spread0.196 · 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 source (direct Gemma or distilled Codex), 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".

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Citations0
Published2022
Admission routes1
Has abstractyes

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