• Journal of the Korea Institute of Information Security & Cryptology
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• v.15 no.4
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• pp.39-50
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• 2005

An evaluation demand and a market growth regarding evaluation and certification are increasing because the importance of information Security is gradually rising to solve the information disfunction. Therefore, it is necessary the cost-effect evaluation management of the Information Security System(ISS). In this paper, we propose the Semi-automated Evaluation Workflow Management System(Sa-EWMS) based on the Common Criteria(CC) which performs and manages evaluation work through the procedure when evaluator evaluates the Information Security System(ISS). The Sa-EWMS is solving a problem of consumption of time and effort and performing efficient evaluation, it is playing a significant role that traces workflow process of each work of the Engines and controls performance. It will be able to use useful the private evaluation enterprise which confront in an evaluation demand and a market growth.

• Journal of KIBIM
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• v.14 no.2
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• pp.25-34
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• 2024

This study proposes a new methodology to increase the flexibility and efficiency of the design data evaluation system by combining Building Information Modeling (BIM) technology in the architectural industry, OpenAI's interactive artificial intelligence, and ChatGPT. BIM technology plays an important role in digitally modeling and managing architectural information. Since architectural information is included, research and development are underway to review and evaluate BIM data according to conditions through program development. However, in the process of reviewing BIM design data, if the review criteria or evaluation criteria according to design change occur frequently, it is necessary to update the program anew. In order for designers or reviewers to apply the changed criteria, requesting a program developer will delay time. This problem was studied by using ChatGPT to modify and update the design data evaluation program code in real time. In this study, it is aimed to improve the changing standards and accuracy by enabling programming non-professionals to change the design regulations and calculation standards of the BIM evaluation program system using ChatGPT. In this study, in the BIM-based design certification automation evaluation program, a program in which the automation evaluation method is being studied based on the design certification evaluation manual was first used. In the design certification automation evaluation program, the programming non-majors checked the automation evaluation code by linking ChatGPT, and the changed calculation criteria were created and modified interactively. As a result of the evaluation, the change in the calculation standard was explained to ChatGPT and the applied result was confirmed.

• The Journal of Korean Academic Society of Nursing Education
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• v.3 no.2
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• pp.207-213
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• 1997

Basic science teaching and clinical education should be integrated whenever appropriate, and the development of skills, values, and attitudes which are emphasized to the same extent as the acquisition of knowledge in nursing. Problem-based learning provides a students-centered learning environment and encourages an inquisitive style of learning. The purpose of this paper is to review and comment the role of tutors and students on problem-based learning. The use of problem-based learning places a high demand on faculty members' time and support. The role of tutors in Problem-based learning focuses primarily on issues of developing and teaching the curriculum and on organizational implementation and institutionalization. Tutors are an integral part of course planning. Tutors serve as a constant source of feedback on student needs and concerns to the course director and constitute an informal steering committee while the course is in progress. Tutors write cases, develop student evaluation methods, recommend resources, suggest modifications in lectures and laboratories. Students have a limited amount of time available to study what is traditionally defined as the core content of nursing. But, the role of students in Problem-based learning would be active, independent learners and problem-solvers rather than passive recipients of information. Students using a deep level approach attempt to integrate what they learn with what they already know, to understand the meaning underlying the material to be learned, and to look for explanations rather than facts. Students are encouraged, with appropriate guidance, to define their own learning goals, to select appropriate experiences to achieve these goals, and to be responsible for assessing their own learning progress. Problem-based learning is more flexible and meaningful, by encouraging student interaction, and by having a better emotional climate than the conventional learning.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.12
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• pp.6387-6394
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• 2013

This study examined the relationship between the critical thinking disposition and problem solving ability as well as the influencing factors the problem solving ability in nursing students. The data was collected from 422 nursing students of 4 colleges and analyzed using the SPSS/WIN 18.0 program. The mean score of the critical thinking disposition was $3.42{\pm}0.42$ and the problem solving ability was $3.84{\pm}0.50$. A significant positive correlation was observed between the critical thinking disposition and problem solving ability. Multiple regression analysis showed that the predictors of the problem solving ability were the critical thinking disposition and interpersonal relationship. These findings suggest that there is a need to increase the critical thinking disposition and problem solving ability in nursing students. These results should be reflected in an evaluation and development of the curriculum and learning method.

• The Journal of Korean Academic Society of Nursing Education
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• v.3
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• pp.26-33
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• 1997

Problem-Based Learning(PBL) is at the forefront of educational reform. The acceptance of PBL as an educational approach with wide application represents a major change in thinking about educational processes and their relationships to the wider community. In 1969, PBL as a method was introduced at the Medical School of McMaster University in Hamilton, Canada. The most important advantages in PBL are acquiring knowledge that can be retrieved and applied, learning to learn(self-directed learning) and learning to analyze and solve Problems. PBL is widely used within the sector where it had its origin, namely health profession education. A generally accepted starting point in the development of a problem-based curriculum is the set of professional competencies of future graduates, which describe the typical problems professionals have to deal with. Formulating learning objectives highly depends on the format and content of the presented problems. Contrary to that, in a classic course in higher education, it is customary that teachers express objectives in a compulsory subject matter. Curricula which advocate problem-based learning generally use case studies in the form of paper cases, simulations and real patients with the intention of stimulating classroom discussion of clinical and basic science concepts within a problem-solving framework. One goal of using paper cases is to stimulate the learning of basic science within a clinical situation. Through self-directed study the students solve problems and explore the psycho-social dimensions within the cases. The general outcome based on the program evaluation research of PBL is that PBL students respond positively about the learning experience. In summary, PBL is a curriculum design and a teaching/learning strategy which simultaneously develops higher order thinking and disciplinary knowledge bases and skills by placing students in the active role of practitioners(or problem solvers) confronted with a situation(ill-structured problem) which reflects the real world.

• Journal of the Korean Society of Earth Science Education
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• v.5 no.1
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• pp.31-41
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• 2012

This study investigates the effect of ASI program on the improvement of gifted students' scientific creative problem solving skill and science learning motivation. ASI developed by reflecting the characteristics of scientific inquiry. The study was aimed at Twenty elementary gifted students from C Gifted Education Program participated in the sixteen sessions of ASI curriculum from June 2010 to October 2010. First, we found that the ASP program is effective to improve the gifted students' scientific creative problem solving skill overall. Specifically, the ASI was effective in the sub-catagories of scientific creative problem solving skills such as 'fluency', 'flexibility', 'originality', and 'appropriateness'. However, there was no significant change in the sub-category of 'reliability' and 'elaborateness' Second, we found that the ASP program is effective to improve the gifted students' sscience learning motivation overall. Specifically, the ASI was effective in the sub-catagories of science problem solving skills such as 'intrinsic motivation', 'correlation with personal goal', 'self-determination', and 'fear of evaluation'. However, there was no significant change in the sub-category of 'extrinsic motivation' and 'self-efficacy'. summary, the ASI program was shown to be effective for improving their scientific creative problem solving skill and scientific learning motivation; This study implies that the ASI curriculum would be a effective tool to help gifted students to improve their ascientific creative problem solving skill and their motivation to learn science.

• Journal of The Korean Association of Information Education
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• v.22 no.1
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• pp.151-158
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• 2018

The purpose of this study is to develop a system for predicting students' collaborative problem solving ability based on the ICT factors of PISA 2015 that affect collaborative problem solving ability. The PISA 2015 computer-based collaborative problem-solving capability evaluation included 5,581 students in Korea. As a research method, correlation analysis was used to select meaningful variables. And the collaborative problem solving ability prediction model was created by using the deep learning method. As a result of the model generation, we were able to predict collaborative problem solving ability with about 95% accuracy for the test data set. Based on this model, a collaborative problem solving ability prediction system was designed and implemented. This research is expected to provide a new perspective on applying big data and artificial intelligence in decision making for ICT input and use in education.

• The KIPS Transactions:PartA
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• v.19A no.3
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• pp.147-154
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• 2012

The higher thinking skills, such as creativity and problem-solving about a given problem, are difficult to assess and diagnose. For an accurate diagnosis of these higher thinking abilities, we need to fully observe learner's problem-solving process or learner's individual reports. However, in an online learning or virtual class environments, evaluation of learner's problem-solving process becomes more difficult to diagnose. The best way to solve this problem is through reporting by tracking learner's actions when he tries to solve a problem. In this study, we developed a module which can evaluate and diagnose student's problem-solving ability by tracking actions in MS-Office suite, which is used by students to solve a given problem. This module performs based on the learner's job history through user tracking. To evaluate the effectiveness of this diagnostic module, we conducted satisfaction survey from students who were preparing the actual MOS exams. As a result, eighty-one (81) of the participants were positive on the effectiveness of the learning system with the use of this module.

• Journal of the Ergonomics Society of Korea
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• v.26 no.2
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• pp.1-13
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• 2007

Ergonomic methods have been effectively applied to design and evaluation of functional clothing. The goals of the present study are to: (1) develop an ergonomic evaluation system for the systematic analysis of functional clothing and (2) examine the usefulness of the proposed evaluation system by applying to flame-proof clothing. Based on the survey of literature and the brainstorming of experts in clothing design and ergonomics, factors considered for clothing evaluation were selected, classified, and complemented, resulting in an ergonomic clothing evaluation system consisting of four factor categories (clothing construction, user, work and environment, and user response). Using the proposed system, a field survey and a laboratory experiment were conducted for flame-proof clothing to identify its design problems. The field survey to workers found a comprehensive set of problems on the flame-proof clothing design in terms of pattern, textile, and color. The laboratory experiment identified additional design problems using a questionnaire that was developed based on an analysis on the relationship between clothing design components and ergonomic evaluation measures. The present study showed the ergonomic evaluation system and the relationship analysis of clothing design components and ergonomic evaluation measures are of use to identify design problems of functional clothing in a comprehensive and analytic manner.

• 대한예방의학회:학술대회논문집
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• 1999.10a
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• pp.55-55
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• 1999