• Journal of Educational Research in Mathematics
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• v.27 no.3
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• pp.391-410
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• 2017

This study aims to analyze mathematically gifted students' characteristics of generalization and justification for a given mathematical task and induce didactical implications for individual teaching methods by students' learning styles. To do this, we identified the learning styles of three mathematically gifted 6th graders and observed their processes in solving a given problem. Paper-pencil environment as well as dynamic geometrical environment using Geogebra were provided for three students respectively. We collected and analyzed qualitatively the research data such as the students' activity sheets, the students' records in Geogebra, our observation reports about the processes of generalization and justification, and the records of interview. The results of analysis show that the types of the students' generalization are various while the level of their justifications is identical. Futhermore, their preference of learning environment is also distinguished. Based on the results of analysis, we induced some implications for individual teaching for mathematically gifted students by learning styles.

• Journal of Elementary Mathematics Education in Korea
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• v.14 no.2
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• pp.217-239
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• 2010

This study is to understanding characteristics of Mathematical gifted children by comparing and analyzing of the learning strategies between gifted children and average students. The result of this study is as below. First, the mathematical gifted children's application ability on the cognitive meta-cognitive strategies and learning resources management strategies was higher than average students. Second, in case of learning resources management strategies between gender, male mathematical gifted students's t-test showed higher than female gifted students. Also, in case of average students, male student's t-test for the learning motive was higher than average female students. Third, mathematical gifted children are positive correlation among the learning motive, self-efficacy, cognitive meta-cognitive strategies, and learning resources management strategies. And in case of average student, it had a positive correlation among the learning motive, self-efficacy, and cognitive meta-cognitive strategies. But there is no correlation between learning strategies and cognitive meta-cognitive strategies.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.12 no.3
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• pp.201-207
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• 2012

A RAM-based neural network is a weightless neural network based on binary neural network(BNN) which is efficient neural network with a one-shot learning. RAM-based neural network has multiful information bits and store counts of training in BNN. Supervised learning based on the RAM-based neural network has the excellent performance in pattern recognition but in pattern categorization with unsupervised learning as unsuitable. In this paper, we propose a unsupervised learning algorithm in the RAM-based neural network to perform pattern categorization. By the proposed unsupervised learning algorithm, RAM-based neural network create categories depending on the input pattern by itself. Therefore, RAM-based neural network for supervised learning and unsupervised learning should proof of all possible complex models. The training data for experiments provided by the MNIST offline handwritten digits which is consist of 0 to 9 multi-pattern.

• Journal of KIISE
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• v.43 no.2
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• pp.269-274
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• 2016

Named entity recognition is a process which extracts named entities in sentences and determines categories of the named entities. Previous studies on named entity recognition have primarily been used for supervised learning. For supervised learning, a large training corpus manually annotated with named entity categories is needed, and it is a time-consuming and labor-intensive job to manually construct a large training corpus. We propose a semi-supervised learning method to minimize the cost needed for training corpus construction and to rapidly enhance the performance of named entity recognition. The proposed method uses distance supervision for the construction of the initial training corpus. It can then effectively remove noise sentences in the initial training corpus through the use of an active bagging method, an ensemble method of bagging and active learning. In the experiments, the proposed method improved the F1-score of named entity recognition from 67.36% to 76.42% after active bagging for 15 times.

• 한국정보교육학회:학술대회논문집
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• 2004.08a
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• pp.668-676
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• 2004

미술영역 중 서예영역은 7차 교육과정으로 개편되면서 $3{\sim}5$학년 각 8시간, 6학년 6시간으로 한 단원씩 배당되어 6차에 비해 시간수가 11% 감소되었다. 그로 인하여 각 단계별 학습내용을 체계적으로 학습할 시간이 부족하며, 지도할 자료 부족과 자료제작의 어려움, 또한 학생 개인 수준 차이로 서예지도에 많은 어려움이 있다. 이러한 문제를 해결하고자 본 논문에서는 초등 미술과 서예영역의 교육과정을 분석하여 각 학년별 교과 내용의 효과적인 필법 자료를 단계별로 학습의 흐름에 맞추어 투입할 수 있도록 다양한 멀티미디어 자료들을 본 학습 자료와 심화 학습 자료를 재구성하거나 개발하여 적용하는 초등학생을 위한 웹 기반 서예교육 시스템을 설계하고자 한다. 이를 통해 서예 지도를 위한 교사들의 자료 준비와 부족에 대한 부담감이 줄고, 학생 개인차를 고려하여 자료를 투입할 수 있어 자기 학습력 신장을 엿볼 수 있으며, 학생 스스로도 서예에 대한 흥미도가 높아져 향상된 작품을 볼 수 있을 것이다.

• Korean Medical Education Review
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• v.8 no.1
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• pp.23-33
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• 2006

의학교육은 학생들에 대한 교육과 평가만으로 구성되지 않는다. 학생들이 그러한 교육을 모두 잘 이수하고 졸업할 수 있도록 잘 지도해 주는 것까지를 포함한다. 의학교육에 있어 이러한 지도가 필요한 이유는 의대생들의 학습과 생활에 문제가 자주 발생하기 때문이다. 이에 본 연구에서는 2005년도에 본 의과대학에서 이루어진 총104건의 상담사례를 분석하여 그 문제와 대안을 제시하였다. 나타난 문제로는 불완전한 교육과 극단적 내부경쟁, 학생들의 집단 학습적 행동, 시간 관리 및 학습방법의 문제, 불안과 우울의 문제, 열등감의 문제, 자기개발과 자기실현에서의 불안, 삶의 다양한 문제들과 가치관 형성의 어려움(이성교제, 가족관계, 학교 내 대인관계 등) 등이었다. 이에 대한 해결방안으로 다음과 같은 다섯 가지가 제안 되었다. 즉 학생들에 대한 "의대에서 공부하는 방법" 교육, 새로운 의대 학습 문화의 창출지원, 전공의 선발에 있어 다면적 평가 시스템의 도입, 상담을 담당해 주시는 교수들과 멘토(mentor)의 필요, 가치관 지향적인 의학교육의 필요이다.

• Journal of the Korean School Mathematics Society
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• v.6 no.1
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• pp.65-85
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• 2003

The purpose of this research is to increase mathematical problem solving abilities VIa STAD evaluation after completing classes. to which ST AD group study is applied, and promoting the learning accomplishments of students by developing gradual self-leading learning materials about the research project on ' How to use an hour math class efficiently\ulcorner ' For this purpose, the items below were studied. Firstly, gradual self-leading learning materials were developed and applied which were composed of textbook abstracts, basic problems, developing problems and intensive problems rather than existing textbooks. Secondly, the ST AD group study model was selected and applied which invokes competitions among small groups of which learning goals were clear. individual responsibility was important. and successive opportunities were equal. The evaluation using STAD at each end of a chapter was announced instantly using the EXCEL scoring system. Though the results of experimental classes were limited in their size. experimental time, and class selection, there were meaningful changes in the aspect of being able to heighten the accomplishment desire of students by inducing voluntary competitions among small groups without any student omitted. As the result of applying this research to my class, the ST AD group study using gradual self-leading learning materials invoked the interests of students and increased learning accomplishments via increasing problem solving abilities in mathematics. The ST AD group study was easy to use by beginning teachers, and its process was simple. It increased interactions among students and learning motives because its compensation system was open to all students. Among various studying methods for small groups. STAD group study is expected to be widely used for mathematics classes.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2009.10a
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• pp.997-1000
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• 2009

The main purpose of this research can be helpful to understand the termology(conception) of ucc and the background of ucc activation. also this ucc production can be affected to the various education effects by explaining the advantage of ucc activation.

• Proceedings of the Korea Information Processing Society Conference
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• 2023.11a
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• pp.745-747
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• 2023

여러 분야에서 인공지능 모델을 활용한 추천 방법들이 많이 사용되고 있다. 본 논문에서는 관광지의 대중적이고 정확한 추천을 위해 GPT-3 와 같은 생성 모델로 생성한 가상의 리뷰 문장을 통해 KoBERT 모델을 학습했다. 생성한 데이터를 통한 KoBERT 의 학습 정확도는 0.98, 테스트 정확도는 0.81 이고 실제 관광지별 리뷰 데이터를 활용해 관광지를 분류했다.

• The Journal of Korean Association of Computer Education
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• v.12 no.4
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• pp.23-34
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• 2009

The main purpose of this study was to develop a mobile platform that supported college students to become self-regulated learners, and to examine its effects on students' academic achievement and self-regulated learning abilities. For this purpose, a mobile platform was designed and developed through the steps of systems approach. All the sub-steps were monitored and pilot-tested. The mobile platform incorporated a number of features designed specifically for the self-regulation components, with the intention of enhancing students' academic achievement and self-regulated learning abilities. Finally, research results suggested that students were taking advantage of the mobile platform that supported students' self-regulated learning. There were statically significant differences in academic achievement according to the type of mobile platform, F(1,133)=1767.202, P<.001