Factors of Development of the Management of the Design Education in Latvia

The author proceeds with the discussion of significant problems in design industry and education in Europe and Latvia. This research is devoted to several important aspects in the development of design education in Latvia. Design education which is mainly based on the meaning of design as an aesthetic component of products, environment or communication, includes only a narrow range of specializations in the traditional fields of design. This concept affects the structure of design education and an beliefs of the areas in which designers will be able to work. Insufficiency of public awareness and understanding of the essence of design results in limited demand of design products and services. These factors determine the contribution of design sector to the economy and well-being of the society, as well as sensitivity of the labor force to market movements. In the research, by analyzing complex situation in the design branch and design education in Latvia, the author has developed proposals for the development of design education management.

THE IMPORTANCE OF THE PARADIGM SHIFT IN THE DEVELOPMENT OF DESIGN INDUSTRY AND DESIGN EDUCATION

Literature about design development and the current situation of the essence of trends in this field allow for the defining of design as an independent branch. Analysis of design and education regulations highlights the conflict between reality and gaps that exist in European statistical standards and International Standard Classification of Education. The purpose of this study is to explore complex problems in the field of design and design education which determines the need for Paradigm Shift for further development of these branches, as well as to present proposals for definitions of key terms of design and offer proposals for a new design education classification. This research will show why, and will mark how design needs to be classified individually, and not as a part of visual arts

POSSIBILITY OF THE USAGE OF THE VISUAL RESEARCH METHODS WITHIN THE DESIGN EDUCATION

Young people are forming and will form the environment of today and tomorrow. This reinforces the necessity of the young generation’s active involvement in the promotion of positive change. This approach cannot be otherwise as systemic and impossible without research and data analysis. Visual research methods, which are self-evident in design and art, are widely used in a number of other disciplines. To achieve an objective and reliable results, they often are combined with quantitative, analytic, generative and other methods. The aim of the paper - to discuss the ways of visual research methods' use in combination with systemic design thinking approach in finding new solutions in promotion of strategies for environmental and social change. Research methods – analysis of literature and case study. The results of the research show that images can be used to document the reality and can help students in the intellectual formation of concepts and strategies

ARTIFICIAL INTELLIGENCE VS DESIGNER: THE IMPACT OF ARTIFICIAL INTELLIGENCE ON DESIGN PRACTICE

Technological advances, including the use of possibilities offered by artificial intelligence (AI), have become an area of strategic importance and a key driver of economic development. AI today has been integrated into a variety of economies, the design industry is no exception: AI is being increasingly applied in the development of design products and services. However, as technological breakthroughs rapidly shift the borders between the work tasks performed by humans and those performed by machines and algorithms, global labor markets are undergoing major transformations. This raises the question: how are these changes affecting and will continue to affect designers’ work in the future? What skill sets will be needed for designers to begin or continue working in the industry? The article aims to perform a meta-analysis, summarizing the research on the impact of AI on the designer’s professional activity and test the capabilities and results of AI-based design solutions. Research methods – theoretical – research and analysis of literature and Internet resources; empirical – case study to analyze possibilities and results of AI-based design solutions.