• The Journal of the Convergence on Culture Technology
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• v.8 no.6
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• pp.207-213
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• 2022

MBTI(Myer Briggs Type Indicator) is an effective personality type test to intuitively identify and classify people's tendencies. Accordingly, there are active attempts to apply MBTI to the learning area, but research on creating new learning types using MBTI is insufficient. Therefore, this paper examines the factors that affect learning and implements new learning types MY,STI(MY, Study Type Indicator) by applying them to a machine learning algorithm that has these characteristics. Data were collected by conducting a learning type test made with Google Forms on 144 general people, and supervised learning was used during machine learning. As a result, the accuracies of MY,STI were 0.933, 0.866, 0.844, and 0.733 for each learning method, learning motivation, presence or absence of external stimulus, and learning time criteria, respectively.

• Journal of Korean Home Economics Education Association
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• v.19 no.3
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• pp.133-147
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• 2007

The purpose of this study was to identify the effect on the evaluation of a female teachers' role-performance based on appearance according to the clothing attitude of students and their parents. Based on the results of this study a female teachers' role-performance evaluation can be broken down into four ability areas: leaning guidance, living guidance, human relations, and learning management. Likewise the clothing attitudes of students and their parents can be divided into three groups, the clothing oriented group, the trend-individuality group, and the chastity oriented group. The trend-individuality group of students felt that female teachers' appearances have a significant effect on learning guidance and human relations ability while parents thought that there was little relationship or that it has a moderate effect on the role of learning guidance. Because the concerns of students and parents about female teachers' clothing has an effect on female teachers' role performance evaluation, when directing a student group with a high concern for clothing, female teachers need to be sensitive about their appearances and it's affect on learning guidance, human relations, and class management. Based on these results, students and parents felt that female teachers' appearances have an effect on their role performance according to their clothing attitudes.

• Journal of IKEEE
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• v.28 no.2
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• pp.145-149
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• 2024

Recently, research on temporal action localization has been actively conducted. In this paper, unlike existing methods, we propose two approaches for learning bidirectional information by creating reverse playback videos for fully supervised temporal action localization. One approach involves creating training data by combining reverse playback videos and forward playback videos, while the other approach involves training separate models on videos with different playback directions. Experiments were conducted on the THUMOS-14 dataset using TALLFormer. When using both reverse and forward playback videos as training data, the performance was 5.1% lower than that of the existing method. On the other hand, using a model ensemble shows a 1.9% improvement in performance.

• The Journal of Bigdata
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• v.5 no.2
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• pp.53-67
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• 2020

This study employees a supervised learning prediction model to detect nonconformity in advance of processed food manufacturing and processing businesses. The study was conducted according to the standard procedure of machine learning, such as definition of objective function, data preprocessing and feature engineering and model selection and evaluation. The dependent variable was set as the number of supervised inspection detections over the past five years from 2014 to 2018, and the objective function was to maximize the probability of detecting the nonconforming companies. The data was preprocessed by reflecting not only basic attributes such as revenues, operating duration, number of employees, but also the inspections track records and extraneous climate data. After applying the feature variable extraction method, the machine learning algorithm was applied to the data by deriving the company's risk, item risk, environmental risk, and past violation history as feature variables that affect the determination of nonconformity. The f1-score of the decision tree, one of ensemble models, was much higher than those of other models. Based on the results of this study, it is expected that the official food control for food safety management will be enhanced and geared into the data-evidence based management as well as scientific administrative system.

• Journal of the Korean earth science society
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• v.26 no.1
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• pp.9-29
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• 2005

By analyzing and integrating established geological field study instances, this study offered a new geological field excursion teaching model with several steps: unifying question raising. excursion generalization. intensive field direction, searching, primary conclusion, re-searching, group discussion. adjustment, and excursion summarizing. Then by Qualitatively assaying the responses which students showed after applying this teaching model, a concrete teaching plan was sought for earth science teachers who were planning to begin geological field excursion classes. Students evaluated very highly on the unifying question and excursion generalization because these items provided a sense of direction and an overall theme for geological excursion in advance. Also. since the students had little to none geological knowledge and field excursion experience, the intensive field direction gave them a lot of help with their field excursion activities. Students thought that coming up with a primary conclusion based on the summary of what they had observed in their activities was original. and highly valued the process of sharing different opinions in group discussions and drawing out a final conclusion. Teachers should help students develop a friendly atmosphere, by organizing group activities and continuously feedlng them with uniting questions and excursion generalization within the groups. Also they should prepare enough contents for intensive field direction and ways to get their points across. In the process, they should arrange beforehand detailed instructions for every outcome, with the intention of solving the question. Furthermore. teachers should follow carefully how conclusions are drawn. instruct students not to reach conclusions based on mere assumptions, and be aware of misconceptions students have toward geological phenomenon in advance, so that the discussion can be lead in the right direction.

• 한국정보교육학회:학술대회논문집
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• 2006.01a
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• pp.267-275
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• 2006

과학교육의 특성상 가장 효과적인 교수 방법은 직접 실험하고, 탐구, 체험 학습을 하는 것이나 시간적, 공간적 제약, 환경 여건, 비용 등을 고려해 볼 때 항상 직접 체험 학습 환경을 제공해 주기는 어렵다. 또한 '지구과학' 영역의 학습은 교실이나 실험실에서 지도하기 어려운 문제점이 있고, 학습 내용들이 본질적으로 가지고 있는 초실험적인 내용이 많아 교수 학습과정에서 많은 어려움을 겪고 있는 실정이다. 이러한 제한점이 많은 초등학교 과학과 '지구과학' 영역에 대하여 직접 탐구하고 체험할 수 있는 환경과 가까운 멀티미디어 웹 기반 코스웨어를 설계 개발하여 이러한 어려움을 보완한다면 과학 교육의 학습 효과를 더욱 높일 수 있을 것이다. 이에 본 연구에서는 과학과의 지구과학 영역 중 기상 교육을 위한 웹 코스웨어를 설계 개발하여 수업현장에 적용해보고자 한다. 본 연구에서 제시한 웹 코스웨어 학습 프로그램은 단지 디스플레이 형식의 자료에서 벗어나 여러 가지 그림, 소리, 동영상 등의 애니메이션 자료를 제시함은 물론 아동들이 직접 컴퓨터를 조작함으로써 학습목표에 보다 쉽고 재미있게 도달할 수 있도록 제작하여 과학과 교수 학습 방법의 개선을 꾀하고, 학습자들의 과학적 사고력 발달을 도모하고자 한다.

• Communications of Mathematical Education
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• v.17
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• pp.97-114
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• 2003

일선 교육 현장에서 영재를 지도함에 있어서 해결해야 할 당면 과제는 판별 도구와 학습 프로그램의 개발이다. 영재를 위한 수학 프로그램을 문제 해결형, 수학 탐구형, 과제 해결형의 3가지로 분류할 경우, 퍼즐은 문제 해결형과 수학 탐구형 프로그램의 특성을 공통적으로 갖고 있는 유형으로 수학적 지식의 통합과 연결성. 그리고 창의적 문제 해결력 신장 및 수학적 원리 ${\cdot}$ 법칙을 체험적으로 만들 수 있는 기회를 제공한다는 점에서 매우 가치있는 프로그램이다. 특히 조작퍼즐은 기존의 대수적 표현 체계로 학습하기가 힘든 관찰력이나 공간에 대한 인식과 표현력 친 공간 추론력을 기르는 데 유용하며, 게임적인 요소가 포함된 퍼즐은 지필에 의존해 왔던 수학학습에 대한 부정적인 인식을 해소하는 데 크게 기여할 것이다. 본 고에서는 수학 퍼즐의 종류 및 특성과 교육적 가치에 대해서 개괄적으로 살펴보고, 실제 프로그램 작성을 위한 정보를 제공과 영재들의 공감 감각을 기르기 위한 프로그램의 원을 이용한 수학 퍼즐의 개요를 제시한다.

• 한국정보교육학회:학술대회논문집
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• 2009.08a
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• pp.123-126
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• 2009

오늘날 학생들의 성적을 고려하는 중요한 요소로 사회적인 특성과 환경적인 특성이 매우 중요시 되고 있다. 이는 대인관계, 사회적인 관계, 학교에서의 관계 등이 중요한 요소가 되기 때문이다. 이러한 특징을 잘 표현해 주는 것으로 사상체질에 대한 분석이 있다. 우리가 알고 있는 MBTI를 이용한 분석에 대한 연구가 많이 있으나 이는 환경적인 특성과 사회적인 특성을 잘 반영하지 못하고 있다. 따라서 본 논문에서는 사상체질의 특성을 분석하여 세부적인 특징을 추출한 후 잘 알려진 MBTI의 요소와의 관계를 분석한다. 이를 통해 사상체질 분석을 통하여 추출된 내용을 MBTI의 연구된 내용에 접목시켜 학생의 학습방법을 지도할 수 있는 방안을 모색하도록 한다. 또한 사회적, 환경적 특성을 고려한 학습방법을 제시하는데 많은 도움을 줄 수 있다.

• Journal of Elementary Mathematics Education in Korea
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• v.10 no.2
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• pp.171-194
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• 2006

As it is not long since the gifted education was implemented in elementary school, it is necessary to accumulate the practical studies on the mathematically gifted education. This paper focused on enhancing creativity by providing the various and divergent thinking activities for mathematically gifted students. For this purpose, I prepared two mathematics problems, and , and let the mathematically gifted 5th grade students solve them. After that, I investigated to analyse their reactions in detail and tried to find the methods for assessing their divergent products. Finally, I found that they could pose various and meaningful calculating equations and also identify the various relations between two numbers. I expect that accumulating these kinds of practical studies will contribute to the developments of gifted education, in particular, instructions, assessments, and curriculum developments for the mathematically gifted students in elementary schools.

• Communications of Mathematical Education
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• v.8
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• pp.33-44
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• 1999

최근 수학교육에서는 의사소통이 매우 강조되고 있다. 이는 수학적 대상에 대해 학생들이 읽고, 쓰고, 서로 토론하는 기회를 가짐으로써 (1) 학생의 입장에서는 자신의 사고를 명확히 할 수 있을 뿐만 아니라 서로의 아이디어를 자극 ${\cdot}$공유함으로서 학습활동을 강화할 수 있으며, (2) 교사의 입장에서는 학생들이 생각하고 있는 것에 대한 정보를 파악함으로써 교수의 질적 개선에 기여할 수 있기 때문이다. 본고에서는 수학교육에 있어서 의사소통의 방법, 의사소통에 있어서 교사의 역할, 의사소통의 지도 방안에 대해서 개괄적으로 알아보고자 한다.