• Human Ecology Research
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• v.56 no.3
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• pp.263-282
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• 2018

This study is used to understand the characteristics of home economics teachers that could to help develop personal development in home economics teacher and home economics education. The questionnaire survey was conducted on 150 home economics teachers who belong to either the home economics teachers' study association or Korean home economics education essociation. The survey was processed with frequency analysis, standard deviations, factor analysis, independent sample t-test, and reliability analysis using SPSS 12.0 depending on the contents of the research. The study results are as follows. First, for home economics teachers' conscious teaching, they build their own identities as experts, and have a vocation and sense of duty for their job. The culture of research and investigation community to study education and to maintain collaborative relationships with teachers of home economics teachers' associations has evolved. Second, home economics teachers have the ability to analyze and manage students' demands in order to perform teaching activities, and understand individual student characteristics. They understand new study trends and curriculum, develop sources for class, use appropriate teaching and learning theories, and create students' reflective activities. In addition, they grow their learning ability as specialist and study in self-oriented ways.

• The KIPS Transactions:PartB
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• v.15B no.3
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• pp.253-258
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• 2008

Recently, game players want new game requiring more various tactics and strategies in the complex environment beyond simple and repetitive play. Various artificial intelligence techniques have been suggested to make the game characters learn within this environment, and the recent researches include the neural network and the genetic algorithm. The Genetic programming(GP) has been used in this study for learning strategy of the agent in the pursuit-evasion problem which is used widely in the game theories. The suggested GP algorithm is faster than the existing algorithm such as neural network, it can be understood instinctively, and it has high adaptability since the evolving chromosomes can be transformed to the reasoning rules.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.11 no.8
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• pp.4043-4060
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• 2017

Network Intrusion Detection (NID), an important topic in the field of information security, can be viewed as a pattern recognition problem. The existing pattern recognition methods can achieve a good performance when the number of training samples is large enough. However, modern network attacks are diverse and constantly updated, and the training samples have much smaller size. Furthermore, to improve the learning ability of SVM, the research of kernel functions mainly focus on the selection, construction and improvement of kernel functions. Nonetheless, in practice, there are no theories to solve the problem of the construction of kernel functions perfectly. In this paper, we effectively integrate the advantages of the radial basis function kernel and the polynomial kernel on the notion of the game theory and propose a novel kernel SVM algorithm with game theory for NID, called GTNID-SVM. The basic idea is to exploit the game theory in NID to get a SVM classifier with better learning ability and generalization performance. To the best of our knowledge, GTNID-SVM is the first algorithm that studies ensemble kernel function with game theory in NID. We conduct empirical studies on the DARPA dataset, and the results demonstrate that the proposed approach is feasible and more effective.

• The Korean Journal of Emergency Medical Services
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• v.25 no.3
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• pp.111-125
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• 2021

Purpose: This study aimed to analyze the impact of rapid cycle deliberate practice (RCDP) simulation education on advanced cardiac life support knowledge, confidence, satisfaction, and performance ability among paramedic students, and provide basic data on the appropriate methods of educational instruction. Methods: The 48 subjects to be instructed were divided into the traditional simulation education group and the RCDP simulation education group. Six participants were randomly assigned to each group and pre-surveyed. They were then exposed to a lecture about advanced cardiac life support related theories for 60 min and post-surveyed through questionnaires with the same learning goals and scenarios. Results: The advanced cardiac life support knowledge (t=-4.813, p=.000) and performance ability (t=-2.903, p=.006) were significantly different between the traditional simulation education and RCDP simulation education groups The results also showed a significant difference in attach monitor (z=6.857, p=.009), analyze EKG rhythm (z=11.111, p=.001), and defibrillation (z=12.632, p=.000), indicating differences in performance capabilities between the two groups. Conclusion: To improve advanced cardiac life support knowledge, performance ability, and confidence in the paramedic students who receive RCDP simulation education, simulation education methods that are appropriate for the subjects being taught, and detailed learning goals and feedback are necessary.

• Educational Technology International
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• v.13 no.1
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• pp.1-25
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• 2012

Despite the relatively short history of Social Network Sites or Services (SNS), it has quickly gained popularity with more than seven hundred million users all over the globe. The SNS emerged as one of the strongest cultural influences for the contemporary society. The SNS would provide both chances and challenges for Education. The main purpose of the article was to explore the way education react and adapt to the emergence of social network and SNS. It tried to provide major theoretical grounds that bridge education and social network. In the due process, the researchers have examined the curriculum and instructional design process of education from the perspective of disruptive and sustainable aspect of SNS technology. Consequently, four major theoretical grounds were identified and reviewed: Gibson's theory of affordance, Vygotsky's social constructivism, Rha's human visual intelligence theory, and the network theory. By investigating these theories, the educational potentials of social network and SNS were emerged. The SNS was viewed as a new medium with abundant potentials of expanding the learning space, empowering the affective aspects of learning, and facilitating the formation of group intelligence. Finally, some future implications and challenges of SNS were suggested.

• Asia pacific journal of information systems
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• v.33 no.4
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• pp.1171-1187
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• 2023

This study explores how an organization has successfully implemented ML-supported HR services to resolve high employee turnover problems in the IT sector. The empirical setting of the research is where contradicting institutional logics exist among technical, HR, and business groups regarding the ML model development and use of the model predictions in HR services. Institutional framework is used to identify the roles of organizational actors and the legitimacy structures in the organizational environments that can shape or constrain the ML led organizational changes. In institutional theories, technology adoption and organizational change are not only constrained by organizational context, but also fostered through organizational actors' roles and efforts to increase the legitimacy for the change. This research found that when multiple contradicting institutional logics exist, legitimizing the establishment of an enabling environment for multiple logics to reconcile and for the project to move forward is critical. Industry-wide conditions, previous experiences with the pilot ML project, forming a TFT with clearly defined roles and responsibilities, and relevant KPIs are found to legitimize the HR team and the business division to collaborate with the technical personnel to launch ML-supported HR services.

• Journal of The Korean Association For Science Education
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• v.29 no.1
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• pp.79-89
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• 2009

In this study, we explored the meaning of science education in an inclusive education setting tram the view of the epistemological approach, and discussed the principles and theories for constructing an educational program. Also, we explored the possibility of inclusive education in science education by suggesting principles for practice: accommodating science curriculum macroscopically, adapting science curriculum microscopically, considering diversity in science instruction, sharing the differences in science teaching and learning, and restructuring the assessment system in science education. We also reviewed the case on learning basic concepts in optics for the visually impaired according to the principles discussed. In conclusion, we discussed the considerations for the practice of inclusive education in science education and inferred further research problems.

• International Journal of Computer Science & Network Security
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• v.24 no.1
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• pp.127-132
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• 2024

With the rapid evolution of the Internet, the application of artificial intelligence fields is more and more extensive, and the era of AI has come. At the same time, adversarial attacks in the AI field are also frequent. Therefore, the research into adversarial attack security is extremely urgent. An increasing number of researchers are working in this field. We provide a comprehensive review of the theories and methods that enable researchers to enter the field of adversarial attack. This article is according to the "Why? → What? → How?" research line for elaboration. Firstly, we explain the significance of adversarial attack. Then, we introduce the concepts, types, and hazards of adversarial attack. Finally, we review the typical attack algorithms and defense techniques in each application area. Facing the increasingly complex neural network model, this paper focuses on the fields of image, text, and malicious code and focuses on the adversarial attack classifications and methods of these three data types, so that researchers can quickly find their own type of study. At the end of this review, we also raised some discussions and open issues and compared them with other similar reviews.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.12 no.5
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• pp.79-87
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• 2017

The previous studies of online entrepreneurship education were conducted only on the effect of education on actual entrepreneurship, but did not analyze the effectiveness of education. In this study, beyond of limits of previous studies, we investigated the effect of social presence on learning expectancy and educational satisfaction. In addition, we examined the influence of learning expectation on the relationship between social presence and educational satisfaction. For the research hypothesis test, we conducted a questionnaires survey on 189 graduate students who taken online courses related to entrepreneurship, hypothesis and questionnaires were made based on the research hypotheses precedent theories. And educational satisfaction was divided into operational satisfaction and content satisfaction. As a results of the analysis using the structural equation model, social presence has a positive effects on learning expectancy. Next, the learning expectancy has a positive effects on the operational satisfaction and the content satisfaction. Finally, when social presence affects operational satisfaction, learning expectation has a complete mediation effects and content satisfaction has a partial mediation effects. The implications of the results of this study were as follows. There was a need for a way to interacted with learners when conducted online entrepreneurial education. When increased the satisfaction level of the learning operation, it is necessary to reduced the burden of learners and raised the expectancy.

• Journal of The Korean Association For Science Education
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• v.35 no.4
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• pp.751-772
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• 2015

Valid and effective science education would require research-based decisions on multiple aspects of science education including policy decisions, science curriculum development, designing teaching resources and methods. However, this has not been the case. In order to provide a research base for science education practices and policy-making, this study reviewed research articles published in major science education research journals in South Korea in the last ten years. The analysis was focused on 8 areas including student conceptions, student thinking, inquiry, affective domain, student ideas about science, science curriculum, students' learning and classroom activity, and student learning in informal settings. General research trends found include: First, science education research conducted for the past decade focused on a certain limited topics/areas. Second, research participants were also limited to certain grade levels or types of students. Third, rather than examining developmental processes descriptive research was prevalent. Fourth, there was a lack of research on developing new areas of study or research on generation of new perspectives, theories or tools. Fifth, many studies were related to school science learning while relatively less studies were about other areas that would impact students' future. Based on the results, we suggest several implications for science curriculum development, policy development, science teaching and learning resources, and others.