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Record W4290466006 · doi:10.5430/jct.v11n5p196

Prospects for the Development of Design Thinking of Higher Education Applicants in the Culture and Art Industry in the Context of Digitalization

2022· article· en· W4290466006 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.

venuePublished in a venue whose home country is Canada.
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

VenueJournal of Curriculum and Teaching · 2022
Typearticle
Languageen
FieldEnvironmental Science
TopicDiverse Scientific Research in Ukraine
Canadian institutionsnot available
Fundersnot available
KeywordsCreativityBachelorContext (archaeology)Design thinkingDesign educationNoveltyEngineering ethicsEngineering managementEngineeringSociologyPsychologyPolitical science

Abstract

fetched live from OpenAlex

The rapid development of science, technology, and digital multimedia has made adjustments in all areas of design. Its ramifications and forms are deeply influenced by digital media, making new demands on teaching. A renewed society regulates new modes of teaching to produce applicants capable of adapting to the development of modern society and responding to the needs of the market. The article aims to present the impact of the development of modern digital media technologies on the teaching of modern fashion design at Kyiv National University of Culture and Art and to analyze the methodological problems of design thinking. The novelty of the work is the consideration of a new mode of teaching that is suitable for digital media art design from the perspective of design thinking methodology. The result of the work is the connection between the modes of design and the development of creative projects in the perspective of the model of homogeneous synthesis of the use of design thinking methodology and digitalization. The feasibility of the methodology synthesis is revealed in the results of the experiment, which involved 30 students from three faculties of Kyiv National University of Culture and Art. The groups took a combined bachelor's and master's degree course in design engineering, aimed at developing the best final project. Students combined this course with incorporating a design thinking approach. The best project was demonstrated by the group that focused the most on the use of design thinking and creativity and was guided in the design development by one of the basic components of design thinking, empathy. Taking the perspective of incorporating design thinking into the learning process can identify the next steps that can assess a future professional's life trajectory as well as address topics such as recognition, memory, and future development perspectives.

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)0.004
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 score0.130
Threshold uncertainty score0.144

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.026
GPT teacher head0.296
Teacher spread0.271 · 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