• The Journal of Korean Association of Computer Education
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• v.3 no.2
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• pp.95-106
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• 2000

Educational programming languages help learners to easily understand and use computer system itself. They also enhance the reasoning power and the contemplative faculty of learners. However, in spite of the importance of educational programming languages in education, there has not been much research and development on them compared with general purpose programming languages. In this paper, we propose and examine a new educational programming environment TWo (Turtle World) which is designed for learners to utilize the recent information technologies. Aimed at being used as a learning and working tool for multimedia programming and processing, TWo is a web-based reflective object-oriented Hangul programming environment which provides each learner with the learning environment according to his intellectual ability to learn.

• Journal of Korean Elementary Science Education
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• v.25 no.3
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• pp.271-280
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• 2006

In this paper, an Online Scientific Inquiry Learning System was developed with the aim of improving student's scientific literacy and scientific inquiry ability. It was determined that there should be 4 distinct principles applicable to the design of the Learning system. First, it should enrich learner's motivation. Second, it should provide students with the chance for reflecting on the inquiry process. Third, it should emphasize multi-dimensional forms of interaction. Fourth, students should be able to create new information through it. The server system including the database, equation editor, reporting tool, search engine were all utilized for developing the learning system. In addition, the authors produced 24 web-based projects which were guided inquiry activities in which various inquiry abilities (reasoning, prediction, experiment design) could be developed. An Online Scientific Inquiry Learning System is not the only program which could be utilized in improving scientific inquiry abilities, but at the very least, such a system can serve as the prototype for developing an online learning system.

• Journal of The Korean Association For Science Education
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• v.15 no.1
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• pp.27-38
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• 1995

The purposes of the 'Students' Science Inquiry Experiment Tournament' which is one of the 'Students' Science Inquiry Olympic Tournaments' are; 1) cultivate students' intellectual interests, inquiry abilities, and scientific attitude dealing with students' scientific reasoning abilities, problem solving abilities, and experimental apparatuses operation abilities. 2) contribute substantiality of science education through experimental inquiry learning. 3) make the ground of basic science development of the future society by selecting excellent students who have talents for science. 4) elevate science teachers' morale by this tournament. The test items set and evaluation results of the tournament were analysed in this study. The results of this study were ; 1) the discrimination ability of the paper-and pencils test and the experiments were low because the students' scores of the items were not normally distributed and standard deviations were very small values. 2) most of the tournament participation students did not answered to the subjective type test items. 3) according to the responses of the tournament participation students, the tournament contribute to the students' interests in science. But the opinion was dominant that the tournament didn't contribute to school science education improvement.

• The KIPS Transactions:PartD
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• v.11D no.4
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• pp.929-936
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• 2004

A major limitation of available component-based platforms Is that they do not provide suitable means for describing and reasoning on the concurrent behaviour of interacting component-based system. Indeed while these platforms provide convenient ways to describe the typed signatures of components, e.g. like CORBA's IDL, they offer a quite low-level support to describe the concurrent behaviour of component. The ability to describe and verify the concurrent behaviour of interacting components is key aspect In the development of large component-based software system. This study propose a component interface specification using process algebra and configuration's role which allows one to prove correctness of software architecture generated at design level as well as to define compatibility relations by our evolution rule and $\pi$-graph. Also, we shown on an appropriateness of a specification techniques and definitions proposed in this paper by case-study.

• Journal of the Korean Institute of Intelligent Systems
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• v.14 no.6
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• pp.764-770
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• 2004

This paper presents a hybrid data mining mechanism to extract expert knowledge from historical data and extend expert systems' reasoning capabilities by using fuzzy neural network (FNN)-based learning & rule extraction algorithm. Our hybrid data mining mechanism is based on association rule extraction mechanism, FNN learning and fuzzy rule extraction algorithm. Most of traditional data mining mechanisms are depended ()n association rule extraction algorithm. However, the basic association rule-based data mining systems has not the learning ability. Therefore, there is a problem to extend the knowledge base adaptively. In addition, sequential patterns of association rules can`t represent the complicate fuzzy logic in real-world. To resolve these problems, we suggest the hybrid data mining mechanism based on association rule-based data mining, FNN learning and fuzzy rule extraction algorithm. Our hybrid data mining mechanism is consisted of four phases. First, we use general association rule mining mechanism to develop an initial rule base. Then, in the second phase, we adopt the FNN learning algorithm to extract the hidden relationships or patterns embedded in the historical data. Third, after the learning of FNN, the fuzzy rule extraction algorithm will be used to extract the implicit knowledge from the FNN. Fourth, we will combine the association rules (initial rule base) and fuzzy rules. Implementation results show that the hybrid data mining mechanism can reflect both association rule-based knowledge extraction and FNN-based knowledge extension.

• Journal of Society of Preventive Korean Medicine
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• v.4 no.1
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• pp.122-131
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• 2000

This dissertation is try to figure out why chestnut belongs to kidney channel, from the viewpoint of five elements theory. After studying chestnut's property, flavor, channel tropism, main cure ability, prescriptions, shape, sweet, and prohibitions, I came to the following results. 1. Property of chestnut is warm and has no toxicity, so it is less related than kidney property. 2. Flavor of chestnut is salty and sweet, so it has some relation to kidney and spleen properties. 3. Channel tropism of chestnut enters mainly into kidney channel, and then spleen and stomach channels. 4. Chestnut controls kidney function of storing the essence of life, determining the condition of bone and marrow, conduction water metabolism, affecting reasoning activity, and controls activity of nine openings of body. It also has effects on functions of spleen, intestines and stomach. 5. Prescriptions including chestnut is similar to that of human brain, it is possible to reason out that chestnut has some relation to human brain. 7. As flavor of chestnut flower is similar to that of spermatic fluid, so it has som relation to kidney property. 8. As chestnut has property of blocking qi and it causes spleen, stomach and colon system to be confused, so it is suggested that persons with weakende spleen and stomach be not allowed to take in.

• Transactions of the Korean Society of Mechanical Engineers
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• v.18 no.2
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• pp.323-338
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• 1994

This paper outlines a framework for performing intelligent sensor validation for a diagnostic expert system while reasoning under uncertainty. The emphasis is on the algorithmic preprocess technique. A companion paper focusses on heuristic post-processing. Sensor validation plays a vital role in the ability of the overall system to correctly detemine the state of a plant monitored by imperfect sensors. Especially, several theoretical developments were made in understanding uncertain sensory data in statistical aspect. Uncertain information in sensory values is represented through probability assignments on three discrete states, "high", "normal", and "low", and additional sensor confidence measures in Algorithmic Sv.Upper and lower warning limits are generated from the historical learning sets, which represents the borderlines for heat rate degradation generated in the Algorithmic SV initiates a historic data base for better reference in future use. All the information generated in the Algorithmic SV initiate a session to differentiate the sensor fault from the process fault and to make an inference on the system performance. This framework for a diagnostic expert system with sensor validation and reasonig under uncertainty applies in HEATXPRT$^{TM}$, a data-driven on-line expert system for diagnosing heat rate degradation problems in fossil power plants.

• Korean Medical Education Review
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• v.15 no.3
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• pp.120-124
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• 2013

The clinical clerkship focuses students on developing their ability to perform comprehensive diagnosis and management of patients with common undifferentiated problems by the integration of knowledge and clinical reasoning. Therefore, the clerkship evaluation system should assess their actual problem solving and professional behavior. However, concern remains that clerkship evaluations are imprecise and highly variable. This review is designed to provide faculty members with concepts, options, and a methodology to actively teach and evaluate the clinical clerkship, as well as offer encouragement and inspiration to medical students. We reviewed past and current clinical clerkship evaluations and discuss several tips to improve clinical excellence such as continuity, transparency of the evaluation process, a faculty development program, practical examination of clinical skills, implementation of a checklist for recording exposure and skills, providing prompt and constructive feedback to students, self-evaluation of professional performance, varying multi-faceted assessment combinations, being outpatient clinic-centered, and having dedicated faculty members who give students one-on-one contact with a preceptor.

• The Mathematical Education
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• v.46 no.1 s.116
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• pp.33-52
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• 2007

This study is based on the grade 3 National Diagnostic Assessment of Basic Competency(NDABC) in 2005. The purpose of this study is to analyze the results of NDABC by students' gender. It was 19,257 grade 3 students that participated in this study. The average scores are 89.41 and 88.34 for each male and female. The percentage of Below-Basic level for male students is 4.6% and for female 5.6%. The percentage of female students at Below-Basic level is increasing for 3 years. In particular, the percentage of females at Below-Basic level is higher than that of males in the content of measurement, the cognitive domain of reasoning and problem solving, and the situation of real life. The item difficulty for males is lower in fraction, polygon, and right triangle than for females. But female students need to improve the space sense and the problem solving ability in real life. As for the background of students, males think that mathematics is exciting and not difficult in comparison with what females think. And parents of mates are more concerned about children's learning than those of females.

• Journal of Educational Research in Mathematics
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• v.13 no.3
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• pp.365-382
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• 2003

This study intends to develope and apply mathematical activities for gifted students. According to the Polya's research and Krutetskii's study, mathematical activities were developed and observed. The activities were aimed at discovery of Euler's theorem through exploration of soccer ball at first. After the repeated application and reflection, the aim and the main activities were changed to the exploration of soccer ball itself and about related mathematical facts. All the students actively participated in the activities, proposed questions need to be proved, disproved by counter examples during the fourth program. Also observation, conjectures, inductive arguments played a prominent role.