• The Mathematical Education
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• v.41 no.2
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• pp.189-202
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• 2002

Problem-centered learning reflects learning strategy based on constructivism. In this learning, students should find the solution in a small group discussion, and share their solutions with classmates in whole class discussion. So students participate in mathematics instruction actively and interact with other students about the strategies. We expect students would change their attitudes on mathematics and mathematical learning in these processes. In this study, we analyzed students' attitudes on mathematics and mathematical learning when they participated the problem-centered learning program. We found the change of students' attitudes to mathematics via problem-centered learning.

• Journal of Engineering Education Research
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• v.15 no.5
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• pp.54-59
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• 2012

It is reported that the constructivistic learning method (CLM) enhances the understanding of the students in the learning process, especially in engineering classes. In CLM-based classes, the students can take the initiative in the learning process, which is called the student-centered model of the learning process. This is different from the traditional learning method based on the teacher-centered model, where a teacher plays the central role in the learning process of students. The authors have applied the method of CLM to one of the Engineering classes, namely production planning and inventory control (PPIC) class for undergraduate students. The PPIC class provides multimedia-based study materials and factory visits as well as regular lecture sections to cover the whole subject of inventory control theory and practice. In the review sessions, students are divided into several groups, and question-and-answer discussions were actively carried out among these groups under the support of the teacher as a facilitator. It was observed that the student engagement in the class was very active compared to the conventional lecture-based classes. As for further support of students understanding on the subject, simulation-based materials are also under study for the class. This paper presents the review of case study of CLM-based PPIC class and discusses the feasibility of simulation-based study materials for further improvement of the class.

• The Journal of the Korea Contents Association
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• v.18 no.4
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• pp.128-137
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• 2018

This study aims to investigate how learning materials are used in an outstanding English class and to analyze learning materials and their use in primary English classroom activities. To this end, An Analytic Scheme of Learning Materials Use (ASLMU) is used to quantify utilization patterns of learning materials. The findings are: Learning materials are most actively used in the development period, followed by introduction and consolidation. The teacher's rate of using learning materials is much higher than student's, and the rate of using materials for whole students is higher than the rate of using materials for an individual or groups. It requires developing learning materials toward more a student-centered class because the teacher's occupancy of the learning materials is fourfold compared to the student's occupancy. Also, non-language materials are used more than language materials, and English materials are used more than Korean materials. Most of the materials are used to present a question and explain. The findings of the study are expected to suggest features of learning materials in an outstanding English class and application method of learning materials to primary English teachers.

• Journal of Fisheries and Marine Sciences Education
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• v.25 no.4
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• pp.878-890
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• 2013

The purpose of this study is to apply the PEOE class model that can enhance students' scientific creative problem-solving ability and self-directed learning ability in the middle school science subject and analyze the effects of it on students' long- and short-term retention, scientific creative problem-solving ability, and self-directed learning characteristics. And the paper has gained the following results: First, according to the result of analysis through the pre-test, post-test, and delay test to examine the effects of PEOE-based class on learners' long- and short-term retention, it is found to be statistically significant in the significant level of .05. In other words, the class using PEOE influences learners' short-term retention significantly, but it is even more effective in transmitting the concept that students acquire into their long-term memory. Second, according to the result of analysis through the pre-test and post-test to examine the effects of PEOE-based class on learners' scientific creative problem-solving ability, it is found to be statistically significant in the significant level of .05 in general. However, 'elaboration' and 'originality', the subfactors of scientific creative problem-solving ability, do not indicate significant effects. Third, according to the result of analysis through the pre-test and post-test to examine the effects of PEOE-based class on learners' self-directed learning characteristics, it is found to be statistically significant in the significant level of .05 as a whole. However, 'openness' and 'future-oriented self-understanding', the subfactors of self-directed learning characteristics, do not exert significant effects. Based on the above study results, it can be concluded that PEOE-based class is more effective for learners' academic achievement in science, scientific creative problem-solving ability, and self-directed learning characteristics than lecture-method instruction regarding the middle school science unit of 'The Properties of Air and Weather Change'.

• Journal of the Korean Society of Earth Science Education
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• v.10 no.2
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• pp.91-103
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• 2017

This study has developed the earth science class model based on flipped learning and analyzed the effects of that model at the elementary pre-teachers' science classes. The model of this study, the material which was consists of all contents and information about classes was offered to learners before science class as a substitute for preceding homework at general flipped learning. In science class, the knowledges which were recorded in materials were explained directly to learners by instructor for 20minutes. So the learners resolved some inquiry questions in materials through mutual debate collaboration with learners in small group. After inquiry questions' resolving, the learner among small group makes a presentation in front of the whole class. At the same time, the instructor evaluated learning action of all small groups' learners during the classes as process evaluation. The final evaluation results of semester were obtained scores of the small group in 14 classes and the achievements of individual portfolio as final exam. The learners were very positive perception to this science class model, why it is helped to concentrate on the class, extended debating and thinking ability. Consequently, the class model of this study is useful to applicate the earth science classes.

• Journal of Information Processing Systems
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• v.16 no.1
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• pp.171-183
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• 2020

Capsule endoscopy is one of the increasingly demanded diagnostic methods among patients in recent years because of its ability to observe small intestine difficulties. It is often conducted for 12 to 14 hours, but significant frames constitute only 10% of whole frames. Thus, it has been designed to automatically acquire significant frames through deep learning. For example, studies to track the position of the capsule (stomach, small intestine, etc.) or to extract lesion-related information (polyps, etc.) have been conducted. However, although grouping or labeling the training images according to similar features can improve the performance of a learning model, various attributes (such as degree of wrinkles, presence of valves, etc.) are not considered in conventional approaches. Therefore, we propose a class-labeling method that can be used to design a learning model by constructing a knowledge model focused on main lesions defined in standard terminologies for capsule endoscopy (minimal standard terminology, capsule endoscopy structured terminology). This method enables the designing of a systematic learning model by labeling detailed classes through differentiation of similar characteristics.

• 중국학논총
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• no.61
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• pp.255-277
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• 2019

This paper presented a course plan based on the ideas I gained from conducting a lecture on Chinese language for students in the second semester of the Chinese language department at a four-year university. In the paper, we sought to deviate from the traditional grammar-translation teaching style and find ways for students to enjoy learning without difficulty in all areas by using the 'total language approach' such as writing, speaking, listening and reading through reading skills. Therefore, we discussed the educational significance and expression of the 'Chinese Languages' class, and introduced the class stages and methods of progress. In other words, they suggested introduction of text plots, explanation of vocabulary and grammar, presentation of original text, questions about text, arrangement of words, ordering sentences to fit the plot, and understanding the plot while looking at the picture.

• Journal of the Korean Data and Information Science Society
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• v.18 no.3
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• pp.721-733
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• 2007

The purpose of this research was to determine the effects of the functional lateralization of the brain variables related to the sex, the scientific attitude and the scientific exploration skills. The science instruction is divided in each type of the lecturing class with the experiment class. As for the degree of SMR brainwave activation in each stage are presented while accumulating the brain waves from the right, left and the whole brain waves are analyzed during the science learning activities. It is therefore reasonable to consider the science instruction types and brain lateralization to enhance the science learning effectiveness. Sensorimotor rhythm brainwave as the low Beta is represented well to show the thought process. Category quantification scores and objective scores are calculated to show the visual positioning map for the relationships of the categories by homogeneity analysis.

• The Journal of Korean Medicine Ophthalmology and Otolaryngology and Dermatology
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• v.23 no.1
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• pp.270-281
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• 2010

Objectives : The purpose of this study is to survey the needs of Oriental Medical students about the existing teaching methods and to investigate satisfaction of new teaching & learning method on the Oriental medical Ophthalmology & Otolaryngology Class. Methods : 1. The needs of Oriental medicine whole students(475 persons) were surveyed with questioning paper. 2. Oriental medical Ophthalmology & Otolaryngology were studied by new paradigm teaching method with 116 students(3rd grade, school of Oriental medicine). 3. The satisfaction of school lesson of Oriental medicine 3rd grade students(106 persons) were surveyed with questioning paper before & after applying new paradigm teaching method. Results : 1. 43% students did not know well the purpose of lessons. 2. 46.7% students answered the curriculum has a large quantity. Conclusions : 1. Students want to study with various teaching & learning methods on school lessons. 2. 72.6% students were replied the problem based learning is effective to make a diagnosis and treatment of patients in the future. 3. 58.5% students take a part positively in the conduct of Team based learning study. 4. Team based learning was effective to the interaction with professor and students.

• Journal of Information Processing Systems
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• v.13 no.5
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• pp.1345-1357
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• 2017

A prototype selection method chooses a small set of training points from a whole set of class data. As the data size increases, the selected prototypes play a significant role in covering class regions and learning a discriminate rule. This paper discusses the methods for selecting prototypes in a classification framework. We formulate a prototype selection problem into a set covering optimization problem in which the sets are composed with distance metric and predefined classes. The formulation of our problem makes us draw attention only to prototypes per class, not considering the other class points. A training point becomes a prototype by checking the number of neighbors and whether it is preselected. In this setting, we propose a greedy algorithm which chooses the most relevant points for preserving the class dominant regions. The proposed method is simple to implement, does not have parameters to adapt, and achieves better or comparable results on both artificial and real-world problems.