• Journal of Digital Convergence
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• v.13 no.3
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• pp.11-18
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• 2015

After entering a convergence era, South Korea Government has enacted and announced the Standard Contract on the e-Learning Content Development Project, a year and eight months has passed. Nevertheless, there has been continued still the unjust and unreasonable contract practices issues raised by project owner in the e-Learning industry. This study investigated application status of the Standard Contract via FGI and questionnaires and suggested its improvement alternative. This study analyzed that the Standard Contract has not taken root at all in ordering of the e-Learning content development project and not reaped the effect. This study presented alternatives such as mandatory application of the Standard Contract, education and outreach, introduction of the monitoring system, certification system implementation, granting of additional points in the evaluation of agencies and CEO and etc. to that standard contract is settled as the government's intentions and objectives in the e-Learning industry field.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.18 no.6A
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• pp.115-127
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• 2008

The Native API is a system call which can only be accessed with the authentication of the administrator. It can be used to detect a variety of malicious codes which can only be executed with the administrator's authority. Therefore, much research is being done on detection methods using the characteristics of the Native API. Most of these researches are being done by using supervised learning methods of machine learning. However, the classification standards of Anti-Virus companies do not reflect the characteristics of the Native API. As a result the population data used in the supervised learning methods are not accurate. Therefore, more research is needed on the topic of classification standards using the Native API for detection. This paper proposes a method for re-grouping malicious codes using fuzzy clustering methods with the Native API standard. The accuracy of the proposed re-grouping method uses machine learning to compare detection rates with previous classifying methods for evaluation.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.23 no.1
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• pp.29-35
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• 2023

In this paper, we propose a SW-EDU bot, a chatbot learning model for coding education by using a chatbot system. The same scenario-based models are created on the basis of Dialogflow and Kakao i Open Builder, which are representative chatbot builders. And then a SW-EDU bot is designed and implemented by selecting the builder more appropriate to our purpose. The implemented chatbot system aims to learn effective learning methods while encouraging self-direction of users by providing learning type selection, concept learning, and problem solving by difficulty level. In order to compare the usability of chatbot builders, five indicators are selected, and based on these, a builder with a comparative advantage is selected, and SW-EDU bot is implemented based on these. Through usability evaluation, we analyze the feasibility of SW-EDU bot as a learning support tool and confirm the possibility of using it as a new coding education learning tool.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.5
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• pp.2124-2132
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• 2011

The purpose of this research is to design and develop an evaluation system with a view to improving teaching skills in the u-Campus environment. To achieve the purpose, this research analyzed various theories on the effectiveness of teaching and teaching evaluation system, extracting several evaluation factors which are to be included in the system. Based on these evaluation factors, this research developed a prototype by reflecting teaching assessment, coaching, self-reflection, portfolio, supervisor selection, user authority in sharing the portfolio and ubiquitous technology. This prototype differs from the existing evaluation methods in that it can enlarge the extent of supervisors other than professors according to their own selecting and can reduce the burden of assessment task, thus improve their teaching skills. This teaching evaluation system using portfolio and ubiquitous technology will be an innovative alternative to conventional assessment methods and will be of great help to qualitative progress in higher level education.

• The Journal of the Convergence on Culture Technology
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• v.7 no.2
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• pp.49-60
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• 2021

The purpose of this study was to examine the introduction of certification evaluation system for quality management of extracurricular program of Duksung Women's University. The research method was composed of two procedures, such as literature analysis and expert meetings. The contents of the study consisted of the accompanying conditions for the introduction of the certification evaluation system to implement the quality management of the extracurricular programs, which is operated in various ways in order to support the reinforcement of students' learning competencies at Duksung Women's University, according to a more formal level and a systematic flow. As a result of the study, the 「Regulations on the Evaluation of Extracurricular Program Certification」 is not only the main foundation for actualizing the link flow between continuous monitoring of extracurricular programs and annual performance evaluation, but also the common points for each university that is establishing the integrated management support system of comparative programs including Duksung Women's University.

• The Journal of the Korea Contents Association
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• v.21 no.10
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• pp.48-58
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• 2021

For securing technology and business competences of companies that is the engine of domestic industrial growth, government-supported policy programs for the creation of commercialization results in various forms such as 『Technology Transaction Market Vitalization』 and 『Technology Finance-based R&D Commercialization Support』 have been carried out since 2014. So far, various studies on technology valuation theories and evaluation variables have been formalized by experts from various fields, and have been utilized in the field of technology commercialization. However, Their practicality has been questioned due to the existing constraint that valuation results are assessed lower than the expectation in the evaluation sector. Even considering that the evaluation results may differ depending on factors such as the corporate situation and investment environment, it is necessary to establish a reference infrastructure to secure the objectivity and reliability of the technology valuation results. In this study, we investigate the evaluation infrastructure built by each institution and examine whether the latest artificial neural networks and deep learning technologies are applicable for performing predictive simulation of technology values based on principal variables, and predicting sales estimates and qualitative evaluation scores in order to embed onto the technology valuation system.

• Journal of Korean Medical Ki-Gong Academy
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• v.17 no.1
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• pp.1-23
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• 2017

Objective : This paper was written to develop clinically useful education system of 'Yang-Seng Gi-Gong' based on the principles of Korean medicine by analyzing the lecture evaluation through the questionnaire Methods : We surveyed 55 students who took 'Yang-Seng Gi-Gong' lectures at Wonkwang University School of Korean Medicine in 2016. Results : 1. The degree of reflection of the learning goal was 7.0 ± 2.1 and the overall interest was high in the regression analysis of the learning goal reflectivity. The satisfaction of the practical lecture was higher than the theoretical lecture. 2. In the evaluation of difficulty level, it was evaluated that the practical training was effective and the practice of standing position was the most difficult. 3. Due to the nature of the lectures, the difference between men and women was found in several items but it was not effective. 4. Generally, we appropriately assessed the preparation and progress of the class and practice. 67% of the respondents evaluated the current class as appropriate. 5. In the survey on participation in class, there was a high degree of participation in the practical lecture and a high correlation between overall participation and participation in the practical lecture. Conclusions: It is necessary to look for ways to concentrate with interest in the lecture, focusing on the practice, and to encourage the participation of women in the practice.

• The Journal of the Korea Contents Association
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• v.17 no.11
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• pp.541-553
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• 2017

Maker education rooted on Maker Movement refers to constructivist learning approach in which students as makers participate in producing visible outcomes through self-directed inquiry and creative hands-on activities in a real life context to solve their personal or social problems. The Maker education, therefore, stresses cultivation of 'maker mindset' in the process-oriented learning environments, pursuing evaluation aspects different from those in the existing educational system. In this context, this study aimed to explore an evaluation framework for the Maker education which reflects the Maker mindset: First, a literature review was conducted to search for the evaluation framework of the maker education which consists of the category of 5 ONs (Minds-on, Hands-on, Hearts-on, Social-on, Acts-on) representing intellectual, physical, emotional, interpersonal and practical aspects, respectively; Second, a Delphi survey for content validity was carried out to confirm the adequacy of the 5 ONs category along with sub-elements for each category. Finally, this study presented the evaluation framework for the Maker education, which is expected to be used as feedback rather than a measuring tool for the process and environments of the Maker education.

• Journal of Internet Computing and Services
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• v.5 no.6
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• pp.121-128
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• 2004

This paper proposes a quality evaluation system of a handwriting string written by electronic pen. For the purpose of the system, this paper describes how to retrieve reference data from a database, how to evaluate the quality of a handwiting string using global and local features. Also, it explains how to optionally recognize a grade of a handwriting string at using global and how to diagnose stroke order at using local. The quality can be evaluated in the case of different language between reference and input by the system. Therefore, we expect that the system is very useful not only for training on handwriting but also for learning a language.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2002.11a
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• pp.491-501
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• 2002

Case-based reasoning is emerging as a leading methodology for the application of artificial intelligence. CBR is a reasoning methodology that exploits similar experienced solutions, in the form of past cases, to solve new problems. Hybrid model achieves some convergence of the wide proliferation of credit evaluation modeling. As a result, Hybrid model showed that proposed methodology classify more accurately than any of techniques individually do. It is confirmed that proposed methodology predicts significantly better than individual techniques and the other combining methodologies. The objective of the proposed approach is to determines a set of weighting values that can best formalize the match between the input case and the previously stored cases and integrates fuzzy sit concepts into the case indexing and retrieval process. The GA is used to search for the best set of weighting values that are able to promote the association consistency among the cases. The fitness value in this study is defined as the number of old cases whose solutions match the input cases solution. In order to obtain the fitness value, many procedures have to be executed beforehand. Also this study tries to transform financial values into category ones using fuzzy logic approach fur performance of credit evaluation. Fuzzy set theory allows numerical features to be converted into fuzzy terms to simplify the matching process, and allows greater flexibility in the retrieval of candidate cases. Our proposed model is to apply an intelligent system for bankruptcy prediction.