Science Talent Research Articles

Merevolusi Pendidikan dengan Kecerdasan Buatan Chatbots: Meningkatkan Pembelajaran dan Penilaian

This study explores the integration of AI chatbots in education to enhance learning and assessment. Focusing on their implementation in classroom teaching and small-scale scientific inquiry activities, the research aims to improve interactions between teachers and students by introducing new learning topics, methods, and providing feedback. The study involved 18 participants 11 fifth-grade and 7 sixth-grade students from a university-run science talent program. Findings highlight benefits such as increased engagement, personalized learning experiences, and automated assessment capabilities. Examples from language learning, mental health support, and academic advising illustrate chatbots' versatility in education. Overall, AI chatbots have the potential to transform education by offering tailored learning experiences, enhancing student engagement, and facilitating efficient assessment. The study suggests further exploration of chatbots' role in promoting student initiative within scientific inquiry learning.

Prospects of the Application of Data Science in the Financial Field

The application of data science in the financial field has become an important trend in the financial industry. This article reviews the current application status of data science in the financial field, including application scenarios in risk management, credit assessment, market forecasting, etc. Through the analysis of existing research, this article summarizes the benefits brought by data science in the financial field, such as improving decision-making efficiency, reducing risks, optimizing customer experience, etc. In addition, this article also looks forward to the future development trends of data science in the financial field, including the application prospects of new technologies such as machine learning and deep neural networks in the financial field. Finally, this article calls on financial institutions to strengthen the training and technical investment in data science talents to adapt to the new trends in the development of financial technology and achieve digital transformation and innovative development in the financial industry. This article provides a relatively comprehensive introduction to the application of data science in multiple financial fields, reflecting the integration of mathematics, finance, computer science, and other disciplines. Most of the literature on academic websites starts from a specific aspect and introduces a certain field in depth. Although it is quite specific, it lacks an overall perspective.

Construction and Practice of New Pattern of Interdisciplinary Graduation Design for BIM Applied Talents in Water Supply and Sewerage Science and Engineering—Taking Nanyang Normal University as an example

Construction and Practice of New Pattern of Interdisciplinary Graduation Design for BIM Applied Talents in Water Supply and Sewerage Science and Engineering—Taking Nanyang Normal University as an example

Editorial: Emerging talents in water science: water and critical zone 2021/22

Editorial: Emerging talents in water science: water and critical zone 2021/22

A Call for Volunteers to Confront What We Do Not Know About Tipping Points – The Next Biggest Challenge for Climate Science

Climate scientists, especially those with earth and environmental experience, have been extremely successful in expanding the scope of detection and attribution (D&A) analyses of “know uncertainties) about climate variables that include much more than increases in temperature and some changes in precipitation patterns. They have been favored in those endeavores by some well supported and widely accepted laws of physics with which to anchor their models. Today in the first quarter of 2024, though, they cannot rest on their laurels. A new more difficult task awaits their collective and integrated attention. They need to collectively confront the prospects of large and dangerous tipping points about which, to be honest, we know very little. Our understanding of how, when, and where those thresholds lie and why they even exist is woefully inadequate to support the clamor in many locations for near-term abating and adapting actions supported by enough knowledge to make society confident that their proposed actions will actually work. We need another large concerted research effort, perhaps mimicking their D&A work but perhaps not, designed to advance knowledge in the same was as before in less time than before without accepted fundamental laws of physics as before; they are now confronting “known unknowns” without clear quantification of the inherent uncertainties. This effort will confront two profound budget constraints – limited and vulnerable funding to cover the expense without interruption and a large influx of new and motivated science talent to fill the human capital gap (the current crop of scientists already have too much to do with too little funding). Fundamentally, this perspective piece is a plea designed to motivate the next cohort of climate scientists to pick up the mantle with the promise of support, colleagueship, respect, recognition, mentoring, and life-long friendships.

Does large-scale research infrastructure affect regional knowledge innovation, and how? A case study of the National Supercomputing Center in China

Large-scale research infrastructures (LSRIs) are widely acknowledged as a crucial instrument for venturing into the uncharted territories of science and technology, as well as contributing to the well-being of society. However, only a limited number of literature have scrutinized the impact of LSRIs, founded upon a causal inference framework. Moreover, the function of LSRIs in the advancement of innovation at the regional level remains inadequately identified. Drawing on the resource-based view, this study develops a conceptual framework that links the scientific effect of LSRIs to innovation resources in order to assess their impact on knowledge innovation (KI). Taking China’s National Supercomputing Center (NSC) as a case, three major mechanism hypotheses are proposed for the impact of NSC on KI, including basic effect, network effect, and technology effect. Using panel data from 283 cities in China from 2000 to 2020, we employ a spatial difference-in-differences estimation model to examine the impact of NSC on KI. The research finds that: (1) The construction of NSC stimulates KI in local and surrounding areas. (2) The main mechanisms by which NSC promotes KI include the increase in fiscal investment and talents in science, the improvement of digital infrastructure, as well as the enhancement of urban network centrality and innovation efficiency. (3) Geographical proximity, cooperation proximity, and digitization proximity constitute the main channels of policy spillover. (4) NSC has not shown significant promotion of regional innovation convergence, and its radiation influence needs further improvement. (5) The knowledge innovation effects of NSCs manifest heterogeneity based on the distinct knowledge orientation and innovation environment, with this impact being notably pronounced in application innovation-oriented cities such as Shenzhen. The results of this study reveal the positive yet limited impact of NSC on KI and provide a reference for other economies in the areas of LSRIs, digital infrastructure, and the formulation of place-based innovation policy.

The identification of primary school students who are gifted in science

ABSTRACT Emphasizing the identification of individuals with exceptional abilities in understanding school science is of great importance. Therefore, the present study aimed to investigate students’ cognitive abilities to identify those with special talents in primary school science. The statistical population of the study included all male and female fourth-grade students in Zanjan City, Zanjan Province, Iran during the academic year 2015–2016. A total of 300 students (150 girls and 150 boys) were selected for the study. The analysis demonstrated strong correlations of 0.675, 0.681, and 0.674 between academic achievement and the combined scores of three key cognitive abilities (scientific reasoning, reading comprehension, and problem-solving) across the entire sample, as well as within the female and male subgroups. Our finding indicated a good overlap in the frequency of gifted individuals (5% of the sample) in both academic achievement and cognitive ability tests, particularly in the three mentioned components. In future research, the effect of the educational environment on the development of gifted students with low academic achievement can be studied.

Practice and Exploration of Joint Training of Inter-Disciplinary Talents in Science and Engineering

Practice and Exploration of Joint Training of Inter-Disciplinary Talents in Science and Engineering

Research on cultivating innovative practical ability of students majoring in computer science and technology under the background of integration of specialization and innovation

Based on the perspective of the integration of specialization and innovation, in order to improve students' innovative practical abilities, this paper innovates the talent cultivation mode of computer science and technology majors, proposes the "three carriers" co creation progressive talent cultivation mode, optimizes the curriculum system of specialization and innovation integration, scientific research and education projects, and scientific and technological innovation activities as carriers, and jointly cultivates students' innovative practical abilities at the hierarchical level of school enterprise and teacher-student collaboration. At the same time, from the curriculum system propose relevant strategies in terms of innovative practice platforms, diverse assessment standards for innovative talents, etc., to promote the cultivation of innovative applied talents in computer science and technology majors.

STEM as an effective pedagogical condition for the functioning of physics and mathematics classes in extracurricular education institutions

The article describes the current state of STEM as an effective pedagogical condition for the functioning of physics and mathematics classes in extracurricular education. The necessity of creating high-quality educational programs where the STEM approach plays an important role in teaching students and helps to develop talents in science, technology, engineering and mathematics is demonstrated. An example of a developed curriculum for a physics and mathematics class of extracurricular education institutions, which is designed to work with middle and high school students, is presented.

A Letter on the International Science Youth Forum: Celebrating a Community of Young Science Talents that Connects, Collaborates and Communicates

The nurturing of top young science talents remains vital in helping to mitigate current and future global challenges. Written in the form of a letter, this paper chronicles the major activities of the International Science Youth Forum, an annual event held in Singapore where top young science talents from across the world have the opportunity to interact with Nobel Laureates and other eminent scientists. Reflections of the student and educators who participated in this event are also documented, and it is hoped that their experiences can pave the way for other similar activities to be organized worldwide.

Editorial: Emerging talents in water science

Editorial: Emerging talents in water science

The Role of Digital Economy in Enhancing the Sports Industry to Attain Sustainable Development

The digital economy system is an essential driving force that promotes the development of the sports industry, aligning with Sustainable Development Goals (SDGs), including Goal 9 (Industry, Innovation, and Infrastructure), Goal 8 (Decent Work and Economic Growth), and Goal 11 (Sustainable Cities and Communities). This paper aims to provide a comprehensive understanding of the roles of the digital economy in enhancing the sustainable high-quality development of the sports industry in China. This study utilizes panel data from 17 provinces in China, spanning the period from 2014 to 2020. The level of high-quality development in both China’s digital economy and sports industry is calculated using the entropy method. To examine the empirical relationship between the digital economy and the sports industry’s high-quality development, this study employs benchmark regression, mediation models, and spatial analysis and conducts robustness tests. The findings of this study indicate that the digital economy not only directly and significantly contributes to the development of the sports industry but also drives it indirectly through the transformative effects of technological innovation. This study reveals that the impacts of the digital economy on the sports industry’s high-quality development exhibit nonlinear characteristics, with an initial period of rapid growth followed by a diminishing growth rate and spatial spillover effects. By recognizing this dynamic relationship, stakeholders could better strategize and allocate resources in their efforts to achieve SDGs. To advance the development of the sports industry and contribute to the SDGs, it is crucial to accelerate the construction of digital infrastructure in China, nurture a diverse pool of talent in sports science and technology, and develop region-specific strategies that consider sustainability and inclusivity.

Talent Targeting at secondary school – Pilot Study

All students have the right to an education that is appropriate to their ability, but this is not the case in practice, either at home or internationally. Public education focuses on the middle of the Gaussian curve, and deviating from it in either direction is unfortunate, especially for students with a talent for computer science. The first step in providing the right level of education and talent management is to identify the students concerned. To support this aim, the article presents a complex approach used in business. The identification of the target group, its dynamic management, and the organization of the necessary measurements into a coherent concept form the theoretical background of an ongoing experiment.

Research on influencing factors of coal mine safety production based on integrated fuzzy DEMATEL-ISM methods

ABSTRACT The management of coalmine safety production (CMSP) has long been a topic of interest for industry and academia. The characteristics of CMSP include many influencing factors, the influence of various dimensions and the existence of hierarchical structure. In order to provide a basis for the risk identification, management, and control of CMSP, a CMSP influencing factors evaluation method based on fuzzy DEMATEL-ISM is proposed. Firstly, the influencing factors system of CMSP is established. Analyze the relationship between the five dimensions of human behaviors, environment, safety management, equipment and facilities, and science and technology. Secondly, in order to make full use of the experience and knowledge of experts, the fuzzy number is used to describe the direct and indirect relationship between the influencing factors, and the fuzzy direct influence matrix is established. In order to obtain the exact IDR matrix, the α-weighted valuation method is used to defuzzification. The direct interrelation between system factors is analyzed from the microscopic point of view, and the impact-relation map is established. Finally, in order to analyze the hierarchical structure of CMSP, ISM theory and method are used to find out the direction factors, important factors and root factors that affect CMSP, and a practical hierarchical structure model is constructed from a macro perspective. The calculation results show that basic research of safety theory and safety investment have the highest impact degree values, 2.45 and 2.32, respectively. Key technology and rules and regulations have a high impact degree, 2.71 and 2.68, respectively, belonging to important factors; The centrality value of innovation talents of science and technology is 4.58, which belongs to root factors and has a fundamental and far-reaching impact on CMSP. The research results verify the validity and applicability of the model, which shows that the model can provide a realistic analysis idea for the risk assessment and management decision-making of CMSP, and is helpful for the sustainable development of CMSP research.

The Current Situation and Cultivation Strategies of Pupils' Interest in Science Learning—Take L School in X County as an Example

With the continuous development of information technology, science and technology have become the key to the competition of comprehensive national strength of all countries in the world, and the strength of comprehensive national strength depends on the quality and quantity of talents.How to cultivate innovative talents in science and technology has become a major challenge facing education today.In the critical period of scientific enlightenment, primary school should stimulate students' interest in scientific learning, guide students to establish good scientific learning habits, improve their scientific thinking ability and scientific learning potential, and help students generate core literacy in science.This paper analyzes the theoretical connotation of interest in science learning. Taking L School in X County as an example, it investigates and understands the current situation of pupils' interest in science learning, analyzes the existing problems, and puts forward relevant solutions to provide valuable reference for science education and teaching in primary schools.

Teaching and Talent Training Reform of Virtual Reality Course

With the rapid development of virtual reality technology, many industries have used the technology widely, and the demand for talent is multiplying. However, talent in virtual reality technology is scarce, and there are some problems in the current talent training. Because of the widespread problems in the present teaching, this paper first analyzes the three characteristics of virtual reality courses. It gives the teaching objectives of the design, application and algorithm of virtual reality talent training. Then, this paper puts forward the overall idea of training virtual reality talents in computer specialty and the teaching content planning of the course and gives the detailed prerequisite courses and follow-up courses. Finally, this paper provides the theoretical overview, knowledge points and experiments of the virtual reality courses at three levels of content organization. After years of practice, we have achieved good results in our teaching reform. Virtual reality teaching has promoted the cultivation of application-oriented talents in computer science.

Defining talent in management science: Does it really matter?

Talent management has a long scientific trajectory of interest both in organizational and academic dimensions. Over the years, the talent concept has evolved, becoming a managerial phenomenon implemented to different sectors, yet, there is a debate in the context of defining talent, with no agreement as to the semantic concept. Moreover, many publications do not even make any effort to define the talent which, however, does not prevent them from proving the existence of various relations between talent management and other economic phenomena – and this does not merely apply to the academia. Both scholars and practitioners face unfettered freedom in the formulation of what elements constitute the term of talent and its meaning, creating the subject literature, some of which vague and biased, and an extensive analysis of contemporary contribution is lacking. As a consequence, ‘t contributor_role="author"alent’ has become whatever the researcher or practitioner established it to be, creating a path towards scientific chaos. To address this gap, the author proposed an SLR and bibliometrics study of 235 articles published in 71, IF-ranked management journals, from January 1966 to July 2021. There are three objectives of this paper: to analyse definitions of talent aiming at their clarity and unambiguity, to identify trends, and to estimate the future research directions in this area. Finally, as the first attempt of this kind in the domain of science to determine whether there is a need for defining talent to achieve the research goals. As such, this is a new perspective on the existing state of knowledge and it meets the aim and scope of Argumenta Oeconomica.

Empirical Research on Data Science Talent Training and Enterprise Demand in Colleges and Universities

The advent of the information age has given rise to a huge amount of data, and it becomes crucial to use the data well and bring its value into play. How colleges and universities train data science talents to meet the huge demand of the industry is of great significance. In this paper, the demand information of data science talents from recruitment websites was crawled by a typical web scraper and then carried out pre-processing, statistical analysis, and visual display. Through fully excavating the job information and summarizing the law of enterprise demand, constructive suggestions were put forward for data science talent training in colleges and universities, providing a reference basis for talent training units to develop training programs.

A multi-case study of accelerated trajectories of science talent development: Matthew effects re-examined

Matthew effect (“the rich get richer”) has been a research topic for decades. It refers to a cumulative advantage, social or individual, in talent development as well as performance or productivity, typically unfolding longitudinally. The present study builds on a previous qualitative study as an attempt to fully understand developmental underpinnings of an accelerated science career, with a focus on developmental changes as potential explanations for the observed Matthew effects. In contrast to traditional theoretical explanations that resort to either social or individual advantages, the present study, in light of Evolving Complexity Theory (ECT), uncovered developmental changes as potentially responsible for a distinct accelerated career trajectory and the apparently unfolding Matthew effects. Implications of the findings in terms of understanding the role of evolving individuality for talent development are discussed.