Evolution Of Research Interests Research Articles

A Bibliometric Review of Sustainable Agriculture in Rural Development

This bibliometric review investigates the scholarly landscape of sustainable agriculture in the context of rural development, spanning from 1986 to 2024. With a comprehensive analysis of 980 publications, the study examines key themes, influential works, and emerging trends in the field. Through bibliometric techniques such as co-citation analysis and network visualization, the research identifies clusters of research topics, including technological advancements, social dimensions, economic impacts, and environmental considerations. Notable contributions by influential authors are highlighted, shedding light on critical issues such as rural livelihoods, participatory approaches, and alternative food networks. Furthermore, the study provides insights into the evolution of research interests over time, revealing emerging areas for future exploration. The findings contribute to a deeper understanding of sustainable agriculture's role in rural development and offer valuable insights for policymakers, practitioners, and researchers seeking to promote sustainable practices and enhance rural well-being.

A Bibliometric Analysis of Research on ChatGPT in Education

ChatGPT has become a prominent tool for fostering personalized and interactive learning with the advancements in AI technology. This study analyzes 212 academic research articles indexed in the Scopus database as of July 2023. It maps the trajectory of educational studies on ChatGPT, identifying primary themes, influential authors, and contributing institutions. By employing bibliometric indicators and network analysis, the study explores collaboration patterns, citation trends, and the evolution of research interests. The findings show the exponential growth of interest in leveraging ChatGPT for educational purposes and provide insights into the specific educational domains and contexts that have garnered the most attention. Furthermore, the study reveals the collaborative dynamics and intellectual foundations shaping the field by examining co-authorship and citation networks. This bibliometric analysis contributes to a comprehensive understanding of the current state of ChatGPT research in education, offering researchers and practitioners valuable insights into evolving trends and potential future directions for this innovative aspect of AI and learning.

Cyber-physical development of technopolises under conditions of digitalisation and intelligentisation of industry

The article reflects the results of a multidimensional study aimed at analyzing the established models and concepts of technopolises, focusing on their cyber-physical development in the light of modern technological and socio-economic changes. Technopolises are recognised as some of the largest and potentially most important projects in the world. The aim of the research was to systematise and analyse existing models of technopolis development, and to identify the key factors influencing the efficiency and innovation activity of these zones in the context of digitalisation and intellectualisation of industry. The evolution of research interest in the technopolis concept was analysed. The systematization of definitions and theoretical approaches to the concept of technopolis was carried out. The echeloned concept of technopolis is presented on the basis of the cognitive triad of economic, technological and urban planning aspects. The empirical typology of clusters is built, their differences from science cities and technoparks are shown. Technopolises are proposed to be considered from the position of their inclusion in the object component of innovation-industrial ecosystems along with clusters, parks and zones. The limitations of the technopolis concept are highlighted. The analysis of the current state and prospects of technopolises development in the Russian Federation as locomotives of innovation activity in the conditions of industry digitalisation is carried out. The model of cyber-physical technopolis based on intellectual spaces integrating the latest achievements in the field of information technologies and managerial innovations is proposed. The proposed model implies the creation of synergetic interaction between physical and digital elements of the industrial environment, which can serve as a stimulus for the leapfrog development of technopolises and the entire innovation-industrial ecosystem of the country. The development of models for assessing the economic contribution of cyber-physical technopolises at the macro- and micro-levels may become a direction for further research.

Вопрос, оставшийся без ответа (Уроки Эдуарда Борисовича Абдуллина)

The article describes the author’s personal perception of his Teacher, one of the best representatives of the Russian musical and pedagogical science, Eduard Borisovich Abdullin, as a person, a musician-teacher, and a scientist. Among the personal and professional qualities of E. B. Abdullin, the author, speaking about the “magic of personality”, notes his passion for his profession, his ability to “infect” others with it, his highest level of morality, his creative degree of “being” in the musical and educational environment, his ability to bring particular problems of the educational process to a fundamentally different level – the level of creativity and scientific analysis. The author considers his meeting with Eduard Borisovich to be his main life lesson and the answer to the question: “What should a musician-teacher be like?” As one of the essential principles of the scientific school by E. B. Abdullin, the author considers the “principle of questioning”. This principle is associated with the questions that everyone asks, first of all, to himself when solving various problems encountered in the educational process. In the School by E. B. Abdullin, multi-level “questions – answers”, “questions – problems”, “questions – reflections” characterize the semantic content of almost all components of the music teaching profession. This paradigm, according to the author, is consistent with the Dialogic way of teaching in antiquity – the guiding questions prepared by the Teacher stimulate the cognitive activity of the student and necessarily lead to the understanding of knowledge due to his personal capabilities. This model maximizes the student’s personality and unique creative and reflexive development. In the section “Evolution of research interests”, the author briefly outlines the problems of his own PhD and doctoral theses, completed under the supervision of E. B. Abdullin, as well as some dissertation materials of his students, who continue the traditions of the scientific School “Methodology of music education pedagogy”.

Explore with caution: mapping the evolution of scientific interest in physics

In the book The Essential Tension (1979) Thomas Kuhn described the conflict between tradition and innovation in scientific research—i.e., the desire to explore new promising areas, counterposed to the need to capitalize on the work done in the past. While it is probable that along their careers many scientists felt this tension, only few works have tried to quantify it. Here, we address this question by analyzing a large-scale dataset, containing all the papers published by the American Physical Society (APS) in 26 years, which allows for a better understanding of scientists’ careers evolution in Physics. We employ the Physics and Astronomy Classification Scheme (PACS) present in each paper to map the scientific interests of 103,246 authors and their evolution along the years. Our results indeed confirm the existence of the “essential tension” with scientists balancing between exploring the boundaries of their area and exploiting previous work. In particular, we found that although the majority of physicists change the topics of their research, they stay within the same broader area thus exploring with caution new scientific endeavors. Furthermore, we quantify the flows of authors moving between different subfields and pinpoint which areas are more likely to attract or donate researchers to the other ones. Overall, our results depict a very distinctive portrait of the evolution of research interests in Physics and can help in designing specific policies for the future.

Evolving Coauthorship Modeling and Prediction via Time-Aware Paired Choice Analysis

Coauthorship prediction is challenging yet important for academic collaboration and novel research topics discovery. The challenges lie in the dynamics of social or organizational relationships, changing preferences of suitable collaborators, and the evolution of research interests or topics. However, most current approaches and systems developed so far are mainly based on past coauthorships from a static viewpoint and do not capture the above evolving characteristics in coauthoring. Accordingly, this paper proposes a time-aware approach to capture the evolving coauthorships from online academic databases in terms of capturing the dynamics of social relationships and research interests. In particular, in order to understand the underlying factors influencing researchers to make choices of coauthors, we incorporate choice modeling based on utility theory. More specifically, our model conducts a series of pairwise choices over a poset induced by a utility function so as to learn the preference over all candidate coauthors. To complete the model inference, a gradient-based algorithm is devised to efficiently learn the model parameters for large-scale data. Finally, extensive experiments conducted on a real-world dataset show that our approach consistently outperforms other state-of-the-art methods.