• Asian Journal of Innovation and Policy
• /
• v.11 no.1
• /
• pp.87-109
• /
• 2022

The study attempts to examine the system-building activities of scientific institutions in developing the Molecular Diagnostic (MDs) Innovation System in India. Scientific Institutions are the precursor of any technological development with their capabilities in generating new ideas. MDs are advanced and accurate diagnostic technology with considerable scope to serve the diagnostic needs and requirements of the healthcare system. We adopted a System framework and analyzed the development of MDs in terms of the Technological Innovation System (TIS) functions, and the systematic challenges are assessed through the System Failure Framework (SFF). Based on the secondary and primary survey of prominent science base actors, the study finds that the role of government is crucial for facilitating technological development within a science base through the mobilization of resources. In India, the MDs technological development gained significant momentum over the last decade with the development of specialized human resources and dedicated research institutes. However, we do find that the innovative capabilities in attaining need-based TIS are sub-optimal owning to the specific diagnostic needs of highly burdened diseases in the society. The system analysis reveals that the TIS functions are underperforming because of the absence of a well-defined funding mechanism and goal-oriented targeted policy regime of the government. Since MDs have a transformative effect on the present healthcare system, we argue that the government has to address the system-based challenges and issues for developing a need-based technological innovation system for MDs in the country.

• Journal of The Korean Association For Science Education
• /
• v.42 no.1
• /
• pp.33-49
• /
• 2022

This study aims to explore, using both quantitative and qualitative data analyzing the structural relationship between creative process and product, the types of elementary students' scientific creativity. For this, 105 fifth-graders responded to a scientific creativity test that assesses creative process and product, and four students who scored the highest were interviewed. In the interview, they were asked about the cognitive process they used in generating the creative product. Then, correlation analysis and structural equation modeling were used, along with the interview data, to type the students. The main findings of the study are as follows. First, the structural equation modeling of creative process and product gave satisfactory results in absolute and incremental fit indexes. Second, among the three components of creative process - knowledge, inquiry skill-observation, and creative thinking skills -, only creative thinking skills had significant effects on creative product. Third, divergent thinking skills had the strongest correlation with the creative product, followed by convergent thinking skills. Associational thinking skills did not have significant correlation. Fourth, elementary students' scientific creativity could be categorized into Creative Type, Useful Type, Original Type, and Non-creative Type, based on their creative product. The Non-creative Type could be further classified into Common Type, Repetitive Type, Non-response Type, Irrelevant Type, and Abstract Type. Fifth, most students used either knowledge or observation in their creative process, making them either Knowledge-oriented Type or Observation-oriented Type. In addition, there were DT Type, DT-CT Type, and DT-CT-AT Type among the students, based on the kinds of creative thinking skills they mainly used in the process. This study provides implications for educators and researchers in scientific creativity education.

• Journal of Science Education
• /
• v.37 no.2
• /
• pp.323-337
• /
• 2013

The purpose of this study was to analyze the scientific reasoning ability during open-inquiry activities of science-gifted 2nd middle school students. Open-inquiry activity is similar to process of scientists' science knowledge generation. Identifying and analyzing the scientific reasoning process and the scientific reasoning ability during open-inquiry activities of science-gifted students, will be able to provide implications for future research. CSRI Matrix(Dolan & Grady, 2010) was used to analyze the complexity of the scientific reasoning ability. The higher degree of complexity of the scientific reasoning is similar to process of scientists' science knowledge generation. The results showed that each process of the open-inquiry activities were distributed by various steps of complexity of the scientific reasoning. Particularly, 'The generating questions' and 'Connecting data to the research question' were 'most complex' step in all teams. On the other side, 'Posing preliminary hypotheses', 'Selecting dependent and independent variables', 'Considering the limitations or flaws of their experiments' were low steps in most teams. And 'Communicating and defending findings' was distributed by most various steps of complexity of the scientific reasoning.

• Journal of the Korean earth science society
• /
• v.32 no.1
• /
• pp.124-139
• /
• 2011

This study was to explore epistemological features presented in texts of exhibit panels in the science museum located in Gyeonggi Province. Out-of-school or daily experiences allow more properly and potentially students to form informative science image, because the understandings of scientific epistemology were constructed tacitly through various experiences over a long period of time. The target for this study was panel texts of exhibits in a science museum as an of out-of-school context. The analytical framework was adopted from epistemological frameworks by Ryder et al. (1999). The research results were explored in the categories of relationship between scientific knowledge claims and the data, the nature of lines of scientific enquiry, and social dimension of science. It revealed that one exhibit might reflect the characteristics of one epistemological position: relating one data to one knowledge claim; generating knowledge claim from scientists' individual interests or from discipline's internal epistemology; scientists working as a community or an institution. Findings suggested that the exhibits of a science museum including panel texts and medium need to reflect the wide ranges of scientific epistemology.

• Journal of The Korean Association For Science Education
• /
• v.28 no.6
• /
• pp.565-578
• /
• 2008

The purpose of this study is to search for the factors that influence students' understanding of the nature of science through the experience of the cognitive processes of authentic open inquiries. The freshmen of a science high school practiced authentic open inquiries reflecting epistemological characteristics of authentic science. The case study was conducted with four focus students who were successful or unsuccessful at learning the nature of science during the authentic open inquiry activity. Questions that the focus students asked during the inquiries as well as students' answers to pre- and post-VNOS (C type) were analysed, and then elaborated in the semi-structured interview. The findings suggest that open inquiry activities provide the inquiry contexts that help science high school students to understand the nature of science, and that the characteristics of students' cognition influence the understanding of the nature of science. For instance, designing experiments with their own research questions had an influence on the students' understanding about the scientific methods and the diversity of research types, and drawing conclusions from their own data made students experience scientific reasoning. In addition, the experience of collecting anomalous data helped students to understand the role of inferences in generating scientific knowledge and the creative nature of scientific knowledge. In this inquiry context, the reflective thinking that came from proactive discussion among students, made students think about the validity of the designing experiments and interpreting data, and helped them to understand the uncertain nature of reasoning and the diverse nature of scientific methods. Moreover, divergent thinking linked to analogical thinking helped students to understand the creative nature of science.

• Korean journal of communication and information
• /
• v.48
• /
• pp.25-45
• /
• 2009

The convergence of broadcasting & telecommunication is not a reality by itself, but recognized as a reality by the discourse which defines and explains it. It is the premise from which this article aims at studying how the discourse on the broadcasting-telecommunication convergence is formed, practised and transformed. This study compares the case of France with the case of Korea in order to show how the same discourse can engender different consequences and evolve in a different way in different socio-political situations. The discourse of the convergence was born as a scientific knowledge in the reports of the European Commission and OECD, and accepted as an important object generating social debates. Then, the discourse faces the resistance of pre-existent discourses in France, while it spreads without clash in South Korea. The French discourse results in a horizontal regulation of contents and networks, while the Korean discourse creates a unique regulator for both traditionally distinguished sectors. Finally, unlike France, the scientific discourse of the convergence in South Korea is transformed into even a political, imaginary or utopian discourse.

• Journal of Science Education
• /
• v.33 no.2
• /
• pp.173-183
• /
• 2009

We aimed to examine difference between the brain activation pattern based upon hypothesis-generating and hypothesis-understanding among the pre-service teachers not majoring in biology, the pre-service teachers majoring in biology and the biologists using fMRI. We have designed two sets of task paradigm on the biological phenomena: hypothesis-generating and hypothesis-understanding and thirty six healthy participants (twelve participants per group) performed the tasks. The result was showed that 1) there were significant differences of brain activation patterns in hypothesis-generating on the biological phenomena among three groups, 2) the left middle frontal gyrus in the part of DLPFC region was play an important roles of hypothesis-generating and make a significant differences among three groups. The superior ability of biologists were based upon the activation of middle frontal gyrus which has secondary integration of abstract information, and 3) there were no significant differences of brain activation patterns in hypothesis-understanding on the biological phenomena among three groups. These findings provided that scientist might be skillful in generating a new scientific knowledge.

• Proceedings of the Korean Society for Bioinformatics Conference
• /
• 2003.10a
• /
• pp.1-1
• /
• 2003

It is clear that computers will play a key role in the biology of the future. Even now, it is virtually impossible to keep track of the key proteins, their names and associated gene names, physical constants(e.g. binding constants, reaction constants, etc.), and hewn physical and genetic interactions without computational assistance. In this sense, computers act as an auxiliary brain, allowing one to keep track of thousands of complex molecules and their interactions. With the advent of gene expression array technology, many experiments are simply impossible without this computer assistance. In the future, as we seek to integrate the reductionist description of life provided by genomic sequencing into complex and sophisticated models of living systems, computers will play an increasingly important role in both analyzing data and generating experimentally testable hypotheses. The future of bioinformatics is thus being driven by potent technological and scientific forces. On the technological side, new experimental technologies such as microarrays, protein arrays, high-throughput expression and three-dimensional structure determination prove rapidly increasing amounts of detailed experimental information on a genomic scale. On the computational side, faster computers, ubiquitous computing systems, high-speed networks provide a powerful but rapidly changing environment of potentially immense power. The challenges we face are enormous: How do we create stable data resources when both the science and computational technology change rapidly? How do integrate and synthesize information from many disparate subdisciplines, each with their own vocabulary and viewpoint? How do we 'liberate' the scientific literature so that it can be incorporated into electronic resources? How do we take advantage of advances in computing and networking to build the international infrastructure needed to support a complete understanding of biological systems. The seeds to the solutions of these problems exist, at least partially, today. These solutions emphasize ubiquitous high-speed computation, database interoperation, federation, and integration, and the development of research networks that capture scientific knowledge rather than just the ABCs of genomic sequence. 1 will discuss a number of these solutions, with examples from existing resources, as well as area where solutions do not currently exist with a view to defining what bioinformatics and biology will look like in the future.

• Journal of Korean Elementary Science Education
• /
• v.42 no.3
• /
• pp.434-454
• /
• 2023

This study explored the composition and attributes of modeling instructions and factors of teacher competence in elementary science classes. The study also examined educational research papers regarding modeling instruction cases in elementary schools and elementary teachers' perceptions of modeling instructions using qualitative meta-analysis, which can integrate findings from qualitative research. This investigation led to creating a small group to compose modeling instructions. Furthermore, the modeling approach was demonstrated to go through the process of generating, evaluating, and modifying the model. The attributes of modeling instructions can be divided into factors that affect modeling instructions and competence factors necessary for students participating in modeling instructions. The factors affecting modeling instructions included "small group interactions" and "time limitation in classes." The competence factors necessary for students participating in modeling instructions included "scientific knowledge," "meta-modeling knowledge," and the "ability to control emotions." The teacher competence factors in modeling instructions regarding knowledge, function, and attitude were explored. The teacher competence factors in elementary modeling instructions included "meta-modeling knowledge," "knowledge of modeling assessment," "emotional support for students," and the "awareness of modeling value." Accordingly, this study offered some recommendations for effective modeling instructions.

• Journal of Technology Innovation
• /
• v.17 no.2
• /
• pp.187-206
• /
• 2009

Korea needs to create, diffuse, and exploit scientific and technological knowledge effectively through transforming its national innovation system from imitative system to creative one. For this purpose, it is necessary for Korea to nurture creative human capital (CHC), which are the main actor of generating S&T and innovation. This paper aims at discussing the strategies of nurturing creative human capital of government-sponsored research institutes (GRIs). In this paper, we argue that the management of creative human capital is particularly important for Korean GRIs because they deals directly with scientific and technological activities. For effective management of GRIs' creative human capital, we suggest a Model for Life Cycle Management of Creative Human Capital. This model is composed of four stages: inviting well-qualified researchers, strengthening mobility of researchers, providing special certificates to excellent researchers, and effectively exploiting retired researchers. We emphasize that each stage should form and reinforce a virtuous cycle. This paper argues that GRIs' creative human capital should be nurtured as 'Inverse T-Type Manpower', who have not only deep knowledge on their own special S&T areas but also broad knowledge on related areas, based on this Life Cycle Management Model.