Methodological Components Research Articles

Argumentation resource in scientific pedagogy as an object of research

Introduction. The analysis of the argumentation employed by scientists and educators in recent years reveals a tendency to adopt an uncritical attitude towards the opinions of scientific authorities, as well as distortions in the formulation of definitions and inaccuracies in both theoretical and empirical justifications of conclusions. These issues indicate attempts at methodological “interference” within the argumentative discourse in science education. Aim. The present research aims to identify the specifics of scientific argumentation in pedagogy and categorise the criteria for its compliance with the methodological framework into two parts: the formulation of “strict” and “soft” requirements. Methodology and research methods. The following research methods were employed: analysis of recordings of scientific dialogues, as well as texts from articles, monographs, and dissertations on pedagogy to assess argumentative correctness; analysis of methodological literature addressing the issues of argumentation across various fields of knowledge; and a method for dividing the field of scientific argumentation into two categories based on the characteristics of the subject of pedagogical research, including the potential for definition and the construction of theoretical frameworks. Results. The outcome of the study is the identification of the requirements for scientific arguments in pedagogy, shaped by the unique characteristics of its subject area. These requirements can be categorised into two types: “strict” requirements, which should be aspired to, and “soft” requirements, which can be described as mitigating circumstances that assist pedagogical researchers in addressing criticisms arising from comparisons between pedagogical argumentation and analogous processes in other scientific disciplines. Scientific novelty. The scientific novelty of this research lies in the justification for dividing the field of argumentation – an essential component of pedagogical methodology – into “hard” and “soft” criteria that align the arguments of scientific pedagogy with methodological norms. Practical significance of the results lies in the potential to utilise the presented material as educational content for students enrolled in pedagogical education programmes, serving as a guide for completing their final qualifying works.

Variable Teaching of Artificial Intelligence and Data Analysis Basics in Computer Science General Education Course: Integrative Approach and Key Components of Methodology

The paper prepared in the context of mainstreaming artificial intelligence (AI) school teaching describes a model of AI and data analysis variant teaching of schoolchildren in computer science class and its components based on the integrative approach. The main aim of this study is to provide scientific and teaching community with the results of a methodological research that was carried out in Institute of Mathematics and Computer Science (Moscow Pedagogical State University) to develop methodological support for teaching schoolchildren topics related to AI technologies in both basic and secondary general education organizations and basic or advanced computer science classes. The paper summarizes current experience in AI and data analysis school teaching, with an integrative approach being the main methodological approach to designing a course for schoolchildren. The paper proposes the structure and the components of a methodology of variant teaching of AI and data analysis that considers project and extracurricular activities possibilities and the requirements of the Federal State Educational Standard of Basic General Education and the Federal State Educational Standard of Secondary General Education. The paper concludes that the model that is designed in accordance with the requirements of Federal State Educational Standard and which is in a sense an “ideal” model for teaching schoolchildren AI and data analysis basics can be interpreted by educational organizations, for example, to design various learning trajectories that meet the personal needs of schoolchildren, the technical and methodological capabilities of an educational organization, and the personal character of students. Moreover, the paper emphasizes that this model for variant teaching AI and data analysis basics centered on an integrative approach is already supported with practical educational learning materials for schoolchildren (Basic General Education and Secondary General Education level) and can be used by computer science teachers in their classroom, extracurricular, and project-research activities, as well as in preparing high school students for AI and data analysis Olympiads.

Emotion Regulation Assessment: A New Perspective Using Simultaneous Electroencephalographic and Electrodermal Recordings.

Recognized as a transdiagnostic factor, emotion regulation (ER) is increasingly embedded into conceptualizations of psychopathology development and maintenance, emerging as a core component of treatment methodologies. Therefore, the incorporation of ER into various facets of affective sciences, including theoretical frameworks, experimental paradigms, assessment methods, and intervention strategies, raises new challenges, particularly regarding the measurement of ER. In the evaluation and understanding of complex, multifaceted processes like ER, the combination of different assessment methods encompassing diverse units of analysis across multiple domains encompassing cerebral, physiological, and behavioral measures can prove particularly interesting. Among these approaches, the concurrent recording of electroencephalographic (EEG) and electrodermal activity (EDA) emerges as a promising strategy, enabling a more holistic exploration of the ER process at both central and peripheral levels. This brief paper aims to explore current literature concerning the utilization of EEG and EDA in the investigation of ER and to bring arguments supporting their simultaneous recording in order to gain a better understanding of ER processes.

THE CONSOLIDATION OF AN ORGANIZATION'S SOCIAL CAPITAL: THE MODEL ANALYSIS

The issues of an organization's social capital are significantly relevant in the rapidly changing world. The study was conducted with the aim of validating the Components of an organization's Social Capital methodology and studying the complex of relationships between various components of social capital, which together constitute its consolidated form. An important task is also the analysis of the model of an organization's consolidated social capital in relation to other related constructs, such as organisational loyalty, reputation and trust. The study involved 300 participants, residents of Russia, working in organisations of various professional orientations. After studying the structure of obtained correlations, three factors were identified - Reputation, Trust and Commitment, explaining 74% of the variance in the respondents’ answers. The findings of the study can be used to improve the effectiveness of socio-psychological support for the consolidation of social capital in organisations.

Predicted Increase in Gold Price Every Year with Impact on Economic Factors

The purpose of this study is to develop a predictive model to predict the trend of the emas price over time and to investigate how this affects important economic variables. As a popular commodity that is regarded as a safe refuge for investments, changes in the price of emas can have a significant impact on a number of economic indicators, such as inflation, consumer spending, and investment decisions. Compiling historical data on emas prices, macroeconomic variables, and other related topics is a component of research methodology. Regression analysis and ARIMA modeling are two methods of deret waktu analysis that can be used to create an andal model of problems. The model's predictive accuracy is then determined by using appropriate statistical metrics. This study's findings provide new and important information about the factors influencing changes in the price of emas and how they affect the economy as a whole. The model that is being used can be used by investors, financial institutions, and policymakers to predict gold price movements and make informed decisions to mitigate risks and capitalize on opportunities. The implications of this research extend all the way to the emas market since it increases our understanding of the close relationship between commodity prices and economic dynamics. The knowledge gained can help create more comprehensive investment and economic policies, which will eventually affect the stability of the economy and economic growth.

Оценка профессиональной педагогической подготовки в контексте принципа инклюзии в Беларуси

<p>The results of an empirical study of a comprehensive assessment of the professional training of future teachers of various specialties (preschool educators, primary school teachers, subject teachers, psychology teachers, social educators, speech pathologists) at higher education institutions in the Republic of Belarus are presented. The complexity of the assessment is ensured by the study of all components of professional teacher training (educational conditions, educational process, educational results) and the representativeness of the multi-subject groups of respondents (vice-rectors for academic affairs of institutions of higher education, teaching staff, graduate students and undergraduates). In order to obtain the research results, there were used author's checklists, 4 types of questionnaires correlated with the marker system (marker 1 – "educational conditions", marker 2 – "educational process", marker 3 – "educational results"), criteria, indicators. The study involved 8242 respondents, including the authority (10 vice-rectors for academic affairs), the teaching staff (1131 people), future teacher students of various specialties (7101 people). Mathematical and statistical data processing included the usee of Pearson's χ2 criterion (STATISTICA statistical package version 10.0). The study allowed us to see an important problem – "deficits" in the quality of university teaching staff training (especially its methodological component) that enables to solve problems of forming professional competencies in future teachers. The assessment of professional teacher training made it possible to determine the vectors of improvement of organizational and pedagogical conditions, content and methodological support of higher teacher-training education in the context of the implementation of the principle of inclusion, new methodological approaches to improving the quality of differentiated professional teacher training and to create a basis for making a number of managerial decisions.</p>

Methodological standards in the design and reporting of pilot and feasibility studies in emergency medicine literature: a systematic review

ObjectivePilot and feasibility studies are intended to ensure that subsequent randomised controlled trials (RCTs) are feasible, economical and rigorous, especially in a challenging research environment such as emergency medicine (EM)....

Network of uncertainties: Network meta-analyses often does not mention key methodological components.

Network of uncertainties: Network meta-analyses often does not mention key methodological components.

Methodological model for teaching residents of foreign language professional communication based on an integrated approach

Importance. The widespread use of foreign language education in non-linguistic universities is due to a number of factors that determine the development of professional activity in various industries. Medicine and healthcare are among the key areas of human activity that require regular updating of knowledge and improvement of professional skills of a specialist in the context of scientific and technological progress. Medical professionals are required to keep abreast of the latest achievements of science and technology, to study new methods of diagnosis, treatment and prevention of diseases in order to provide patients with better medical care. Using the example of the COVID-19 pandemic, the world community realized that the emergence of such threats requires rapid response and cooperation between various countries and organizations. Only through the experience of interaction between scientists and medical professionals from different countries, it was possible to jointly normalize the epidemiological situation around the world. The World Health Organization has played a key role in coordinating international efforts to combat coronavirus infection by providing all the necessary information in foreign languages, mainly English and French. In view of this, there is a social demand in the labor market for medical workers who speak English perfectly, and in higher educational institutions there is a demand for language courses from students of residency. The main purpose of the study is to develop a methodological model for teaching residents of foreign language professional communication based on an integrated approach.Research Methods. To achieve the main goal, theoretical and empirical research methods are applied, which make it possible to study and analyze existing theories and concepts on the topic of developing a methodological model for teaching residents of foreign language professional co mmunication based on an integrated approach. Based on the analysis of the academic literature on the research topic, the regularities of the construction of the methodological model, its functions and component composition are revealed. Modeling of the educational process makes it possible to create an effective methodological model for teaching residents of foreign language professional communication based on an integrated approach.Results and Discussion. The conducted research makes it possible to identify the didactic functions of the methodological model: 1) orienting; 2) regulatory; 3) formative; 4) controlling. Based on the identified didactic functions, a methodological model for teaching residents of foreign la nguage professional communication based on an integrated approach is developed, which is structurally presented in the form of five consecutive blocks: 1) prerequisites; 2) goal setting block; 3) content block; 4) operational and activity block; 5) evaluation and performance block.Conclusion. The developed methodological model for teaching residents of foreign language professional communication based on an integrated approach allows creating a simulation of the educational process in order to identify the strengths and weaknesses of the proposed teaching met hodology. The obtained research results are supposed to be used in the methods of foreign language teaching in medical universities in the training of residents.

Focusing on the educational environment for harmonic child development

The study aims to enlighten the need for a focusing towards some psychological aspects of a child`s functioning in a pluralistic, pulsating, and flexible educational environment. It reveals resources for its harmonious development through a model of its construction. It is based on the synergistic effect between sustainable transversal skills and variables, according to socio-economic conditions and key competences. The synergy integrates in the model the personality, communicative, sociocultural, methodological, emotional, practical, and physical components. This is achieved through the psychological aspects of the two levels of education of suggestopedic communicative framework - the level of conscious activity and the level of the unconscious psychological reactivity of the learner. Its utilization provides transforming pedagogy into an art and the teacher into a creator.

Cold plasma at various voltage, gas flow rate, and time assisted extraction of blue pea flower: Quantitative UPLC-ESI/MS/MS analysis of bioactive compounds, phenolics, and anthocyanin content

Butterfly pea (Clitoria ternatea) is a rich source of anthocyanins and has gained popularity as an herbal tea. However, conventional thermal processing could degrade its thermolabile bioactive components, necessitating alternative non-thermal processing to promote its commercial applications in the food industry. This study aims to assess the effects of sample preparation (powder vs. aqueous solution) and cold plasma treatment conditions (applied voltages, treatment times, and gas flow rates) on the extractability and stability of bioactive compounds in butterfly pea flowers. Quantitative analysis using liquid chromatography-tandem mass spectrometry was performed to assess the yield, bioactive compounds, and chemical composition of the extracts. Besides, response surface methodology and principal component analysis (PCA) were employed to elucidate the impact of experimental variables on extract characteristics. Results indicated significant concentrations of delphinidin, cyanidin, and their derivatives in all extracts. Aqueous samples treated at higher voltages and for longer durations exhibited increased total anthocyanin (+92 % for 5 min at 180 V) and phenolic content (+32 % for 3 min at 100 V). PCA revealed strong correlations between independent variables and extracts' biochemical properties, highlighting the importance of optimizing treatment parameters. Furthermore, anthocyanins with increased side chains were observed to be more resistant to degradation under plasma carrier gas flow rate and plasma processing. Powder samples experienced more significant degradation when treated with plasma due to increased free radical generation. These findings elucidated the interaction between plasma and the plant matrix, demonstrating the potential of cold plasma technology for enhancing extraction in an eco-friendly manner and promoting more sustainable food production.

Generating a system of group constants for neutron-physical calculations of fast reactors based on ROSFOND-2020.2 library files

The subject of constant support development is currently becoming increasingly important in connection with the national strategy of transition to a closed nuclear fuel cycle. At the same time, the importance of the tasks of refining calculation models and minimizing methodological, statistical, and constant errors is increasing. In this connection, the idea of creating a universal system of constants describing with equal accuracy both uranium loading and loading with mixed oxide uranium-plutonium fuel and the possibility to perform on its basis both precision Monte Carlo calculations (data format – ACE) and multigroup calculations (formats – ABBN and ANISN) was laid in the basis of this work. In this paper we analyze the freely available libraries of evaluated nuclear data in order to justify the choice of source files for the formation of a new system of group constants for neutron-physical calculations of fast reactor cores, describe the process of formation of a new library of reactor constants, and verify the obtained system on computational test models of BN-800 reactor and critical systems. The process of formation of the new system of group constants included selection of initial neutron data files, updating of data tables of basic neutron cross-sections, self-shielding factors and Doppler coefficients, as well as data on fission spectra for the main fuel nuclides. The methodological component of the error for test models of the BN-800 core was evaluated. Using the ABBN-RF22 system of group constants it was possible to estimate the correction in the 299 groups calculation, which amounted to 0.3%. Previously, when using the ABBN-93 library, there was no such possibility due to the lack of continuity between the files of evaluated neutron data and the group constants used.

Geometric implicit neural representations for signed distance functions

Implicit neural representations (INRs) have emerged as a promising framework for representing signals in low-dimensional spaces. This survey reviews the existing literature on the specialized INR problem of approximating signed distance functions (SDFs) for surface scenes, using either oriented point clouds or a set of posed images. We refer to neural SDFs that incorporate differential geometry tools, such as normals and curvatures, in their loss functions as geometric INRs. The key idea behind this 3D reconstruction approach is to include additional regularization terms in the loss function, ensuring that the INR satisfies certain global properties that the function should hold — such as having unit gradient in the case of SDFs. We explore key methodological components, including the definition of INR, the construction of geometric loss functions, and sampling schemes from a differential geometry perspective. Our review highlights the significant advancements enabled by geometric INRs in surface reconstruction from oriented point clouds and posed images.

TECHNOLOGICAL SUPPORT FOR ONLINE LEARNING OF FUTURE GEOGRAPHY TEACHERS

The article determines that in the context of reforming modern geographical education, geography teachers face various challenges and problems related to the complication of access to educational services. It is proved that the use of distance learning, which is regulated by state educational documents, is an important mechanism for ensuring the continuity of the educational process. The paper notes that digital skills are an essential part of the professional competence of a geography teacher. Based on the analysis of numerous sources of scientific and pedagogical domestic and foreign literature, the author has developed and proposed his own model of components of technological conditions for the implementation of distance learning in geography, aimed at integrating new technologies. The essence of the components of the developed model is defined and substantiated. The learning management systems, video conferencing platforms and collaboration tools that belong to the software of distance learning in geography are characterised. The features of material and technical support and its components are outlined. The structure of the necessary methodological support and the problems of its development are determined. The importance of security and confidentiality as a condition for online learning is highlighted. Attention is paid to technical support and the main directions of its implementation are described. Attention is focused on the need for systematic and comprehensive compliance with certain technological conditions of distance learning, since its technical, methodological and informational components are integral parts of the online learning environment.

Learning-Based Optimisation for Integrated Problems in Intermodal Freight Transport: Preliminaries, Strategies, and State of the Art

Intermodal freight transport (IFT) requires a large number of optimisation measures to ensure its attractiveness. This involves numerous control decisions on different time scales, making integrated optimisation with traditional methods almost unfeasible. Recently, a new trend in optimisation science has emerged: the application of Deep Learning (DL) to combinatorial problems. Neural combinatorial optimisation (NCO) enables real-time decision-making under uncertainties by considering rich context information—a crucial factor for seamless synchronisation, optimisation, and, consequently, for the competitiveness of IFT. The objective of this study is twofold. First, we systematically analyse and identify the key actors, operations, and optimisation problems in IFT and categorise them into six major classes. Second, we collect and structure the key methodological components of the NCO framework, including DL models, training algorithms, design strategies, and review the current State of the Art with a focus on NCO and hybrid DL models. Through this synthesis, we integrate the latest research efforts from three closely related fields: optimisation, transport planning, and NCO. Finally, we critically discuss and outline methodological design patterns and derive potential opportunities and obstacles for learning-based frameworks for integrated optimisation problems. Together, these efforts aim to enable a better integration of advanced DL techniques into transport logistics. We hope that this will help researchers and practitioners in related fields to expand their intuition and foster the development of intelligent decision-making systems and algorithms for tomorrow’s transport systems.

RADIAN – A tool for generating synthetic spatial data for use in teaching and learning

ABSTRACT We describe a Python-based software tool called RADIAN (RAnDom spatIal dAta geNerator) developed with the purpose of generating simple synthetic spatial datasets. These datasets can be used in many contexts such as teaching and learning of GIS, testing of spatial algorithms, testing and visualization approaches. This paper provides a motivation for the need for a tool such as RADIAN along with a survey of other similar approaches. The methodological component of how RADIAN generates synthetic spatial datasets is described. We describe experimental results from the comparison of RADIAN with QGIS, which is the most closely comparable tool available at the time of writing. Finally, we provide some conclusions on the impact and potential of RADIAN with some interesting avenues for future work and development. RADIAN is available as open-source software.

Методологічні засади стратегічного управління розвитком виноградарсько-виноробного комплексу

Developing a sector-specific strategic management methodology is critical, as it allows us to consider the specific conditions of each industry, including its economic, environmental, and technological features. Such an approach ensures that strategies are adapted to real challenges and opportunities, increasing decision-making efficiency and the industry’s competitiveness in a dynamic environment. An industry’s strategic management methodology is a set of conceptual approaches, principles, methods, and tools used to develop, implement, and control strategic decisions at the level of a particular sector of the economy. The article aims to substantiate the existing methodological approaches to strategic management at different levels and improve the methodological support for the management strategy of the viticulture and wine industry. The classification of strategic management methods is analysed. The differentiation of strategic management levels and their methodological components in the focus of the viticulture and wine industry as an integral part of the agro-industrial complex is theoretically substantiated. The methodological approach to the formation of an adaptive strategy for the management of the viticulture and wine complex has been improved based on an organic combination of SWOT-analysis, PEST-analysis, industry life cycle model, product-market model, VRIO-analysis and the modified Porter’s Five Forces model. It is proved that the integral efficiency of the improved methodological approach is manifested in the ability to ensure systematic consistency of strategic decisions with the dynamics of the external environment and internal resources. The organic combination of SWOT-analysis, PEST-analysis, industry life cycle model, product-market model, VRIO-analysis and modified Porter’s Five Forces model allows for a comprehensive assessment of market risks, identification of competitive advantages, and optimization of resource allocation. This approach increases the adaptability and resilience of industry, which contributes to achieving long-term strategic goals and economic efficiency. Keywords: methodology, viticulture and wine industry, strategy, strategic management, agro-industrial complex, strategic management methodology, adaptive strategy, method.

Grouping research proposals with funding agency requirements: A contextualized language model and constrained K-means clustering approach

As the volume of research proposals increases and the interdisciplinary nature of research fields exacerbates the complexity of manual proposal grouping, the grouping of research proposals becomes increasingly vital in funding agencies’ evaluation procedures. Although previous ontology- and word embedding-based approaches have made valuable contributions to the advancement of research proposal grouping, their practical utility has been limited due to a lack of consideration of funding agencies’ requirements. This study proposes a systematic approach for grouping research proposals that aligns with three common requirements: size, cannot-link, and must-link constraints. The proposed approach utilizes KLUE-RoBERTa for proposal vectorization and constrained K-means clustering for proposal grouping with size constraints. We introduce a proposal pre-partitioning and a proposal vector centralization to simultaneously consider the cannot- and must-link constraints in grouping proposals. An empirical analysis of 3,665 proposals submitted to the National Research Foundation of Korea demonstrates the effectiveness and practicality of the proposed approach. Additionally, we conduct a comparative analysis of various combinations of methodological components to optimize this approach. The proposed approach is considered a valuable complementary tool for grouping proposals, enhancing the overall efficiency and effectiveness of the proposal evaluation system.

Methodological components, structure and quality assessment tools for evidence summaries: a scoping review.

The objective of this review was to identify and map the available information related to the definition, structure, and core methodological components of evidence summaries, as well as to identify any indicators of quality. Evidence summaries offer a practical solution to overcoming some of the barriers present in evidence-based health care, such as lack of access to evidence at the point of care, and the knowledge and expertise to evaluate the quality and translate the evidence into clinical decision-making. However, lack of transparency in reporting and inconsistencies in the methodology of evidence summary development have previously been cited and pose problems for end-users (eg, clinicians, policymakers). Any English-language resource that described the methodological development or appraisal of an evidence summary was included. PubMed, Embase, and CINAHL (EBSCOhost) were systematically searched in November 2019, with no limits on the search. The search was updated in June 2021 and January 2023. Gray literature searches and pearling of references of included sources were also conducted at the same time as the database searches. All resources (ie, articles, papers, books, dissertations, reports, and websites) were eligible for inclusion in the review if they evaluated or described the development or appraisal of an evidence summary methodology within a point-of-care context and were published in English. Literature reviews (eg, systematic reviews, rapid reviews), including summaries of evidence on interventions or health care activities that either measure effects, a phenomena of interest, or where the objective was the development, description or evaluation of methods without a clear point-of-care target, were excluded from the review. A total of 76 resources (n=56 articles from databases and n=20 reports from gray literature sources) were included in the review. The most common type/name included critically appraised topic (n=18) and evidence summary (n=17). A total of 25 resources provided a definition of an evidence summary: commonalities included a clinical question; a structured, systematic literature search; a description of literature selection; and appraisal of evidence. Of these 25, 16 included descriptors such as brief, concise, rapid, short, succinct and snapshot. The reported methodological components closely reflected the definition results, with the most reported methodological components being a systematic, multi-database search, and critical appraisal. Evidence summary examples were mostly presented as narrative summaries and usually included a reference list, background or clinical context, and recommendations or implications for practice or policy. Four quality assessment tools and a systematic review of tools were included. The findings of this study highlight the wide variability in the definition, language, methodological components and structure used for point-of-care resources that met our definition of an evidence summary. This scoping review is one of the first steps aimed at improving the credibility and transparency of evidence summaries in evidence-based health care, with further research required to standardize the definitions and methodologies associated with point-of-care resources and accepted tools for quality assessment. A Chinese-language version of the abstract of this review is available at http://links.lww.com/SRX/A59, studies ineligible following full-text review http://links.lww.com/SRX/A60.

Designing and Developing an Interactive Syllabus for e-Business Training as Part of Design-Based Research

A syllabus is an arrangement of subjects and a plan for a course of study. It enables visualization of the big picture of the course structure. Syllabi play various valuable functions, including providing information about the communication mechanism between the teacher and students, a planning tool for instructors, a course plan for learners, a source for learning materials or additional readings, a guide that learners can use in their learning both in-class and out-of-class, and it can also serve as a contract or written agreement between learners and instructors or their institutions about learning outcomes. Education today is more interactive, and courses are increasingly multimedia-rich; therefore, syllabi need to be interactive as well. In designing and developing an interactive syllabus for Smart Training for Arabic-speaking Residents on Technology START e-Business Training, learners can visualize the structure of training, search its contents, access frequently asked questions, and explore additional resources. This paper discusses the best strategies used to design START e-Business Training's interactive syllabus and the tools employed to develop it, as a core component of the design-based research DBR methodology. The paper also outlines some challenges in developing an interactive multimedia-rich syllabus, especially with accessibility features, and proposes solutions to overcome these challenges from the perspectives of educators and learning designers. Additionally, the paper explores the iterative process of feedback incorporation and continuous improvement essential to maintaining the syllabus's relevance and effectiveness. By leveraging advanced technological tools and user-centric design principles, the interactive syllabus aims to enhance learner engagement and support diverse learning needs. The discussion includes an evaluation of the pedagogical impacts of the interactive syllabus and its potential to serve as a model for future educational design projects. Furthermore, the implications for broader application in various educational contexts are considered, highlighting the importance of adaptability and innovation in modern educational practices.