• International Journal of Computer Science & Network Security
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• v.22 no.12
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• pp.139-145
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• 2022

The study aimed to build a proposed program for training Social Studies teachers in the light of electronic functional competencies, the researcher used the experimental method with a quasi-experimental design, the study sample consisted of (37) Social studies teachers in Ismailia. A proposed program in the light of electronic functional competencies. A measure of awareness of the dimensions and components of electronic feasibility. The study concluded several results: There is a statistically significant difference at the level of (a ≤0.01) between the average scores of the teachers of the research group in the pre and post measurements of the measure of awareness of the dimensions and components of electronic functional competencies in favor of the teachers scores in the post-measurement. Training Social studies teachers on the functional electronic competencies necessary for them to keep up with educational developments.

• Proceedings of the Korea Contents Association Conference
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• 2006.11a
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• pp.90-94
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• 2006

The research about social network for analyzing human relationship has been steadily worked due to the importance in the social science field. It is also important that analyzing the relationship between researchers in the academic and research fields. Especially, the network by joint research or citation between researchers is useful to evaluating projects or making policy on academic and research fields. This paper describes a method that generates two kinds of researcher networks showing co-authorship and citation relationship between researchers based on national R&D reference information ontology. We infer pair of researchers in co-authorship or citation relationship by SPARQL query from the ontology which is composed of research outcomes and their participating researchers in RDF triples. By postprocessing, we construct researcher network which links researchers in co-authorship and citation relationship.

• Journal of Research and Publication Ethics
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• v.4 no.2
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• pp.19-25
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• 2023

Purpose: This research article aim is to critically examine the ethical principles that govern research publication in social sciences and to identify and analyze the everyday ethical challenges social science researchers face during the publication process. Also, the research explores the factors contributing to ethical violations in social science research publication. Research design, data, and methodology: The present research has conducted comprehensive literature analysis and the authors of this research has figured out total 24 significant prior studies in the current literature dataset for the literature review and finding section. The procedure of data obtaining included the elimination process to screen dissertation papers, conference papers, and internet sources. Results: Previous The sociologies, given their emphasis on the human way of behaving and interactions, demand heightened ethical considerations due to the potential impact of research findings on individuals and society. Therefore, understanding and upholding ethical standards are essential for researchers at all career stages. Conclusions: In order to retain the integrity, legitimacy, and societal influence of research findings, ethical issues are crucial and the necessity for flexible and comprehensive ethical frameworks is highlighted by the rapid evolution of research methodology, digital platforms, and interdisciplinary collaborations, adding new dimensions of ethical complexity.

• Journal of Korean Academy of Nursing
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• v.29 no.1
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• pp.84-96
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• 1999

This study was conducted to identity the degree of burden and social support perceived by mothers of nephrotic syndrome patients. Also, relations between burden and social support were investigated to provide basis data for their family health and nursing intervention. The study subjects were mothers of nephrotic syndrome patients whose children were hospitalized in 2 Pediatric wards of University Hospital in Seoul and 1 in Pusan from Jun. 1, 1998 to Jun. 30, 1998. Burden measurement Instrument for this study was designed by the researcher and its basis in one developed by Montgomery et al.(1985) and the reliability was .78. Also. P.R.Q. Part I, II by Brandt and Weinert(1981) was used as social support measurement instrument and the reliability .71. The data analysis was done by SPSS, t-test, ANOVA Pearson correlation. The result were as follows. 1. Burden felt by mothers shows an average value of 60.82 (Maximum 86, Standard deviation 1.244). 2. Of the mother characteristics, the score of burden was high in case of no religion and low income. Of the patient characteristics, the score burden ranked as high MCNS, doing oral therapy, injection therapy at the same time and negative perceived patients condition. 3. The mean score of support was 77.54(Maximum 96, Standard deviation 1.096). 4. The main supporters were husband (the highest), brother, sister, health speciality and the subject expressed the highest satisfaction toward supporters in chronic disease. 5. Of the patient characteristics, the higher age group and the elder group showed high support. Also, positive perceived patient's condition, high support. 6. The relationship between burden and social support is not significant. In conclusion to the above study, the researcher suggests. 1. The Qualitative research to investigate influential factors on burden of family of nephrotic syndrome patients is needed.

• Genomics & Informatics
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• v.18 no.2
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• pp.16.1-16.5
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• 2020

There has been a dramatic increase in the popularity of utilizing social media data for research purposes within the biomedical community. In PubMed alone, there have been nearly 2,500 publication entries since 2014 that deal with analyzing social media data from Twitter and Reddit. However, the vast majority of those works do not share their code or data for replicating their studies. With minimal exceptions, the few that do, place the burden on the researcher to figure out how to fetch the data, how to best format their data, and how to create automatic and manual annotations on the acquired data. In order to address this pressing issue, we introduce the Social Media Mining Toolkit (SMMT), a suite of tools aimed to encapsulate the cumbersome details of acquiring, preprocessing, annotating and standardizing social media data. The purpose of our toolkit is for researchers to focus on answering research questions, and not the technical aspects of using social media data. By using a standard toolkit, researchers will be able to acquire, use, and release data in a consistent way that is transparent for everybody using the toolkit, hence, simplifying research reproducibility and accessibility in the social media domain.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.8
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• pp.241-249
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• 2021

The aim of the research is to evaluate the impact of social media marketing (with special reference to Facebook) on the brand preference of customers with regard to smart mobile phones. Since Facebook has become very popular today and a trend has arisen to use social media as a marketing tool, the researcher intended to evaluate the impact of social media marketing on brand preference, as the findings would provide valuable insight for future businesses. Social media as measured social media visibility, social media engagement, and social media influencewas the independent variableand brand preference was the dependent variable. The convenience sampling method was used where the sample was taken from a group of people easy to contact or to reach. A sample of 186 young males and females was selected. Factor loading and factor analysis were used to analyze the data and find the most influencing factors on brand preference. Reliability analysis, validity analysis, and regression analysiswere performed to analyze the data. The R² value is 0.320 implying that 32.00% of the variance in brand preference is explained by social media influence, social media engagement, and social media visibility. The findings show thatsocial media visibility, social media engagement, and social media influencehave a positive impact on brand preference.

• International Journal of Computer Science & Network Security
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• v.22 no.5
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• pp.327-329
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• 2022

Education is affected by technical and scientific developments. Progress in one of these areas leads give way to new educational methods and strategies. One of these advanced learning modes is what has been conventionally termed as Micro-learning (ML). It has emerged in educational technology as a result of advances in information technology as well as advances in research in memory, brain, and social-cognitive processes.In this paper, the researcher discusses micro-learning in terms of its concepts, tools, and associated concepts, advantages and disadvantages.

• Journal of Korean Library and Information Science Society
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• v.24
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• pp.107-161
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• 1996

This study aims at introducing 'ethnography' which is one of the most representative qualitative research methods into Library and Information Science research in Korea.. Ethnography, derived from anthropology, helps researchers to understand the whole and deep aspect of the research object. That is because the researcher puts himself into the life-world of the research object and observes it for a long time. Ethnography can be used as an alternative method to quantitative research methods. Until now, Library and Information Science research in Korea has used quantitative research methods in almost every case. From the 1980s so-called 'scientific methods' using hypotheses testing, have provided the major premise for research methodology in Library and Information Science of Korea. And the researchers have seen their research object(Korean Libraries) not in the native perspective but largely in the western(especially American) perspective. There is a need in Korea for more culturally relative research. So the desirability of introducing ethnography and other qualitative research methods into Library and Information Science research in Korea can be summarized as follows : I. Ethnography and other qualitative methods are needed for the researchers to overcome the limitation of quantitative methods which have formed the main methodological paradigm in Library and Information Science research in Korea. While those quantitative scientific methods can be a n.0, pplied to the social sciences, they are not adequate for the social sciences. It is because the research objects of the social sciences are human and social phenomena. II. It is needed that Library and Information Science research in Korea pay more attention to the speciality of Korean libraries. To do researches based on the viewpoint of cultural-relativism, researchers should consider the cultural context of Korean libraries. During the past years researchers in other social science fields in Korea, especially sociology and pedagogy, have gradually a n.0, pplied the methods of ethnography to their fields. These social scientists have attempted to escape from ethnocentrism, a problem which has greatly influenced past and present research methods. To get a holistic and in-depth understanding of Korean libraries on the present stage, and to solve their problems radically, it seems imperative that Library and Information Science research in Korea pay more attention to qualitative research methods such as ethnography.

• Communications for Statistical Applications and Methods
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• v.4 no.3
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• pp.637-644
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• 1997

Sometimes, the first principal component may come logically from the established knowledge and premises. For example, for the high school students' test scores of Korean, English, Mathematics, Social Study, and Science, it is natural to define the first principal component as the average of all subject scores. In such cases, we need to respect both the background knowledge and the data exploration. The aim of this study is to find the remaining components in principal component analysis of multivariate data when the first principal component is defined a priori by the researcher. Moreover, we study related matrix decomposition and their application to the graphical display.

• Journal of Information Science Theory and Practice
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• v.10 no.spc
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• pp.12-24
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• 2022

This study attempted to investigate changes in collaboration structure for each stage of national Research and Development (R&D) in the artificial intelligence (AI) field through analysis of a co-author network for papers written under national R&D projects. For this, author information was extracted from national R&D outcomes in AI from 2014 to 2019. For such R&D outcomes, NTIS (National Science & Technology Information Service) information from the KISTI (Korea Institute of Science and Technology Information) was utilized. In research collaboration in AI, power function structure, in which research efforts are led by some influential researchers, is found. In other words, less than 30 percent is linked to the largest cluster, and a segmented network pattern in which small groups are primarily developed is observed. This means a large research group with high connectivity and a small group are connected with each other, and a sporadic link is found. However, the largest cluster grew larger and denser over time, which means that as research became more intensified, new researchers joined a mainstream network, expanding a scope of collaboration. Such research intensification has expanded the scale of a collaborative researcher group and increased the number of large studies. Instead of maintaining conventional collaborative relationships, in addition, the number of new researchers has risen, forming new relationships over time.