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Record W2951695915 · doi:10.32370/ia_2019_02_19

Traditional and Modern Methods of Painting on the Plener of Students of Art Education

2019· article· en· W2951695915 on OpenAlexvenueno aff
Peter Naguliak, Vadim Rudoy

Bibliographic record

VenueIntellectual Archive · 2019
Typearticle
Languageen
FieldEnvironmental Science
TopicDiverse Scientific Research in Ukraine
Canadian institutionsnot available
Fundersnot available
KeywordsPaintingConstructiveSet (abstract data type)Process (computing)Mathematics educationVisual arts educationThe artsPoetryOpen airTeaching methodVisual artsPerceptionArtPedagogyComputer sciencePsychologyAestheticsEpistemologyEngineeringPhilosophyLiteratureArchitectural engineering

Abstract

fetched live from OpenAlex

The article discusses the concept of plein-air painting as one of the most effective forms of the formation of diversified, creative future artists-educators, where in addition to solving common tasks, there is the possibility of including them in creative activities based on the ability to analyze and synthesize, on a comparison of proportional, constructive, tonal and color relationships in nature.Attention is drawn to the fact that the Odesa School of Fine Arts is characterized by poetic understanding and perception of nature, which influenced the rethinking of the role of etude in teaching and the development of the plein-air teaching method, and the open-air practice of students has become an integral part of the educational process.Theoretical and methodical methods of teaching painting in the open air are revealed and it is emphasized that the problem of developing and educating the creative individuality of artists-teachers in the process of teaching painting and in the open air in the complex of combining traditional and modern methods was not developed enough.It is indicated that in order to combine traditional and modern methods of teaching painting in the open air, it is correct to use the model for evaluating the artistic and creative development of the student's individuality in the learning process, which is a unity of three complementary aspects.It is determined that at the basis of the solution of the tasks set and the positive effect of the proposed methodology there is a combination of all the exercises offered at the practical classes into a complex scientifically based methodological system.It is presented that the conducted pedagogical experiment showed that successful and durable mastering of professional knowledge and the development of practical skills in painting occurs under certain conditions.The conclusion is that the main form of interaction of traditional and modern methods of teaching basic special disciplines is a full-scale production or open-air.The combination of traditional and modern methods of teaching plein-air painting suggests a complex method of correlating learning tasks for painting in the open air with other special disciplines, which makes it possible to trace and define their interaction in order to teach painting in the open air and develop students' creativity.The necessity of a complex mix of traditional and modern methods of teaching painting in the open air, contributing to the formation of the future artist -teacher, is substantiated.

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.017
Threshold uncertainty score0.056

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.005
Scholarly communication0.0040.003
Open science0.0010.005
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0170.002

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 head0.045
GPT teacher head0.325
Teacher spread0.280 · 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 designNot applicable
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
Published2019
Admission routes1
Has abstractyes

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