The Scientific Journal of Rezeknes Augstskola
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THINKING STYLES INVENTORY ADAPTATION AND STANDARDIZATION IN LATVIAN
Thinking styles are defined as consistent individual differences in preferred ways of organizing and processing information and experience, thus bridging the gap between personality traits and cognitive processes, meaning, it is more important to understand what abilities people prefer to develop and use, rather than what abilities they have. Thinking styles remain an ongoing area of research in education and psychology, providing insights into students’ experiences and informing educational practices. Latvia still faces a shortage of validated and standardized tests, thus to determine thinking styles, a questionnaire titled “Thinking Style Inventory – Revised II” was selected. This research is a part of a much wider study, which is based on the idea that nowadays the use of the internet and technology form and develop young people’s habits of mind that have not yet been explored. Based on this idea, a research project was established whose overall goal is to discover the impact of young people’s (age 16-25) internet use patterns on cognitive functioning (The impact of internet usage patterns on the development of youth’s cognitive styles, No.: lzp-2021/1-0357). The goal of the specific stage of the study and thus this article is to adapt and standardize the Thinking Style Inventory–Revised II in Latvian. To reach the goal, the questionnaire underwent back and forth translation, then was piloted (n=30), checked for internal consistency, thus concluding the first stage of adaptation. For standardization (n=2169) factoranalysis, discrimination indexes and norms were determined. The results show an overall good internal consistency and the factoranalysis shows similar structure to the original questionnaire. The obtained results indicate that Thinking Style Inventory – Revised II Latvian version can be successfully used to determine thinking styles in Latvia.
MEANING OF SPORT MONITORING AND ITS DEVELOPMENT TENDENCIES
The earliest research on analytics in sports dates back to 1912 with the work by Hugh Fullerton on the correlation between baseball player hits, throws, and catching techniques, and success in the game. Nowadays with equally high technological and financial availability, the efficiency of the training process becomes more relevant. A well-organized and managed training process, combined with high technology and financial accessibility, will be the determining factor for successful performance. Research aim: to compare and analyse the meaning of sport monitoring and its development tendencies. Research methods: a systematic review of scientific literature was conducted, examining scientific articles available in the ScienceDirect and Google Scholar electronic databases (publishing date 2014-2024) using the following keywords: "monitoring", "sport monitoring”, “performance monitoring”, and “coaching monitoring". As a result of the study, the use of the term \u27monitoring\u27 in the context of the sport environment was clarified. The meaning and function of monitoring involves continuous systematic data collection based on selected criteria, with its most essential function being the ability to instantly inform involved parties about the characteristics of the performance process. Monitoring in sports is primarily applied in terms of athlete and team performance analytics. However, it is equally important to continuously and systematically observe the activities of coaches with the aim of providing feedback for improvement.
LEARNING LOSSES AMONG STUDENTS OF GENERAL SECONDARY SCHOOLS IN UKRAINE AS A CONSEQUENCE OF UNPREDICTABLE GLOBAL CHALLENGES: CHALLENGES AND PERSPECTIVES
In the context of a full-scale war in Ukraine launched by Russia on February 24, 2022, Ukraine’s educational system in general and the system of general secondary education in particular faced previously unforeseen challenges in organising educational process under martial law. These challenges lead to the emergence of previously unpredictable problems in the system of general secondary education that require systemic and purposeful solutions. One of these problems is directly related to learning losses among students of general secondary education and the search for effective ways of compensating for these learning losses. And although learning losses have become an objective reality at all levels of education, this issue is especially true in general secondary education institutions, as school-age children are the most vulnerable in the context of the tragic events taking place in Ukraine due to the war. Taking into account the fact that this topic has not been systematically studied in the scientific literature, the present paper is aimed at identifying war-related learning losses based on the experience of Ukrainian general secondary school teachers. The data collection instrument includes a questionnaire developed by the authors of this paper and the research sample includes 352 general secondary school teachers
JOB SHADOWING AS A METHOD IN FURTHER EDUCATION
In response to the advanced shifts within the professional era, this study underscores the novel application of job shadowing as a medium of further education. By providing an understanding of the shifting requirements for practical knowledge in career building, this research represents the various scenarios of job shadowing for advanced professional growth. This study employed a mixed-methods approach employed quantitative surveys and qualitative interviews. The responses of 63 professionals from various industries involved in job shadowing were thoroughly analysed. The responses demonstrate the significant impact of job shadowing on acquiring skills and developing career trajectories. The respondents emphasise the importance of acquiring extensive practical knowledge, obtaining precise and reliable information about various professional job positions, and increasing their confidence to the most extent. Further, job shadowing is also helpful in expanding professional networks. This approach also contributes to a broader scenario on career-building journeys. Other than these positive outcomes, challenges were also underlined. These include a limited number of opportunities and not enough knowledge of employees in this field. This study represents the shifting position of job shadowing and recommends practical suggestions for establishing its efficiency in the professional corporate world. This study provides a detailed overview of the benefits, challenges, and solutions aligned with job shadowing. The study also highlights the important role of new strategies in further education in the recent discussion
CHATGPT POTENTIAL TO SELECT TECHNOLOGY IN RAPID PROTOTYPING OF CYBER-PHYSICAL SYSTEM
It is a common task to select optimal technologies for a prototype implementation. If a prototype of a cyber-physical system is developed, it is required to select suitable components, devices and software development tools, which are compatible with each other. Traditionally, the market analysis is conducted reviewing components, searching for a trade-off combination which are optimal for the prototype implementation. That is a sufficiently time consuming process. Additionally, the market changes are relatively fast. Therefore, the search must be repeated periodically. We propose the hypothesis that ChatGPT can help in market analysis to select optimal components in the rapid prototyping tasks. To evaluate our hypothesis, each author tried to find an optimal solution considering his specialization or interest field. Based on the obtained experience, the Delphi method was applied to collect expert opinions to gain consensus, which is presented in this article
BLOCKCHAIN USAGE IN PLANT HYBRIDIZATION
The project aims to leverage blockchain technology to address the challenges faced by gardeners and botanists in tracking and managing plant hybridization data. By employing a decentralized ledger system, the project enables users to securely record and verify the genetic makeup, metadata, and ownership of hybrid plants. Through the integration of smart contracts and MetaMask authentication, users can create and claim ownership of plants, ensuring transparency, integrity, and trust in the hybridization process
APPLICATION OF CHAID DECISION TREES AND NEURAL NETWORKS METHODS IN FORECASTING THE YIELD OF CEREAL INDUSTRY COMPANIES
Within the research the most important factors affecting the grain yield and their impact indicators were considered. The application of CHAID decision trees and neural networks in forecasting aspects of the grain-growing industry was investigated. In the study, the organic agricultural companies of the Latgale region, which are engaged in grain cultivation, were selected and the harvest volumes of the companies and their influencing factors were collected. Based on the collected data, grain yield forecasting was performed using CHAID decision tree and neural network methods
STRENGHT OF FIBER CONCRETE DEPENDING ON SYNTHETIC FIBER CONCENTRATION
Concrete is one of base materials for nowadays constructions and it is important to understand its capabilities to ensure safety and longevity of construction. To enhance the properties of concrete, fibers are used. These fibers increase both tensile strength and durability, prevents cracking and extends lifespan of concrete. In this paper we will look at concrete tensile strength using scrap polymer fibers from sailing rope manufacturer.
 
GAMA GROUP ANALYSIS OF DEVELOPMENT OPPORTUNITIES
The paper analyses the business development opportunities to efficiently utilise the company\u27s increased capital by integrating a new service to meet the expectations of existing customers and attract new customers. Business development is a key factor in enabling a company to remain competitive in the market and to adapt to market changes. Business development can be done within an organisation using its own resources - by linking development to the creation of new products or services. A theoretical concept of business development and an analysis of development opportunities is presented in order to understand the company\u27s competitors, customer needs and the available resources and their use
EXPLORING REVENUE GENERATION MECHANISM IN MOBILE APPLICATIONS: AN ANALYSIS OF MONETIZATION METHODS
These days, the world is constantly changing: various innovations, digitization, and new business models are rapidly developing in every country. However, the focus is mostly on digitization, where efforts are made to eliminate physical information providers and transfer all knowledge to the electronic space. As a result, most young entrepreneurs choose to start businesses by using mobile applications, but just a few delve into how these apps can generate income. The aim of this article is to analyze seven main business strategies to generate money, which are app sales, in-app purchases, in-app advertising, subscription models, freemium model, affiliate marketing, and data monetization that individuals can employ to generate income from mobile apps. Using the method of literature source analysis, it was determined that the monetizing method from apps depends on the purpose and type of the application, making it impossible to highlight the best income generation method. Therefore, it is crucial for young entrepreneurs to recognize that understanding how programs generate income is not only beneficial in personal life but also essential for developing business skills for the future