• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2019.05a
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• pp.334-337
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• 2019

In this study, we built the data collection system to learn user's habit data by deep learning and to create an indoor environment according to the situation. The system consists of a data collection server and several sensor nodes, which creates the environment according to the data collected. We used Google Inception v3 network to analyze the photographs and hand-designed second DNN (Deep Neural Network) to infer behaviors. As a result of the DNN learning, we gained 98.4% of Testing Accuracy. Through this results, we were be able to prove that DNN is capable of extrapolating the situation.

• Proceedings of the Korean Society of Computer Information Conference
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• 2023.07a
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• pp.703-704
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• 2023

학교폭력은 교육 환경에서 심각한 문제이다. 피해자에게 심리적 고통과 육체적 상해를 입히고 학교 내 안전과 안정성을 위협한다. 이에 많은 교육기관과 정부 기관이 학교폭력 예방과 대처를 위한 다양한 방안을 제시하고 있지만, 여전히 어려운 문제이다. 최근에는 인공지능 기술을 활용하여 학교폭력 방지와 대처에 관한 연구가 이루어지고 있다. 본 연구에서는 YOLOv5(You Only Look Once version 5) 딥러닝 알고리즘을 활용하여 학교 내부에서 발생하는 폭력 행위를 실시간으로 탐지하는 모델을 제안한다. 이 모델은 CCTV와 같은 영상 데이터를 입력으로 받아들여 학교 내부에서 발생하는 폭력 행위를 실시간으로 식별하는 것을 목표로 한다.

• Journal of the Korean Society for Library and Information Science
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• v.38 no.4
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• pp.85-104
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• 2004

This study is supposed to the way to add and enlarge the elements related to educational domain in metadata of school library information system (DLS) by using the concept of learning object which the education information service agencies have adapted. This study is to propose the methods which can be accessed according to the units of learning content in order that they can be applied to the teaching and learning situations, and describe and index the total traits of interior data elements included in the information resources. Thus, the metadata of the existing DLS through the additional elements : , , and was made to access the information resources according to the teaching and learning situations and to accept the concept of interior learning units by means of the element.

• Journal of Science Education
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• v.43 no.2
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• pp.227-238
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• 2019

In this study, we investigated the perception of elementary school students on inquiry activities and collaborative problem-solving ability in data-based scientific inquiry. For this purpose, 20 data-based scientific inquiry classes were conducted in 26 elementary school students in Gyeongnam City. After selecting the inquiry problem, students conducted an inquiry process to collect data using digital inquiry instruments. The following results were obtained through questionnaires and interviews after the classes: First, students perceived the step on 'inquiry design and execution' as the most useful in the data-based scientific inquiry. Second, students perceived that their scientific ability and cooperation improved through data-based scientific inquiry, with the selection of inquiry problems being the most difficult. Third, students perceived positively the improvement of cooperative problem-solving ability. From the above results, it was found that data-based scientific inquiry is necessary to improve the elementary school students' scientific inquiry ability and cooperative problem-solving ability. Based on this research, we hope that the development and research of various inquiry activities will provide opportunities for inquiry that can cultivate various abilities needed for students living in the future.

• Journal of the Korean School Mathematics Society
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• v.21 no.4
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• pp.377-400
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• 2018

With the rapid industrialization and the advent of the era of the Fourth Industrial Revolution, the importance of character education is on the rise. The purpose of this study is to develop the Instructional model that can make the school classroom as a democratic learning community based on general classes and naturally realize the character education in addition to the other subject-matter education. A draft of the instructional model was implemented to confirm that the factors of the character education in mathematics could be improved. The toughness index was measured by using the Character Scale for School Mathematics(CSSM) before and after implementation. Based on the results of the measurement, we completed a P (personal) instruction model and a S (social) instruction model that can enhance the factors of the character education in mathematics based on the democratic learning community through the advisory committee.

• Journal of the Korean Society for information Management
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• v.39 no.3
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• pp.1-22
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• 2022

The purpose of this study is to propose a book recommendation system that can be used in school libraries. The book recommendation system applies an algorithm based on association rules using DLS lending data and is designed to provide personalized book recommendation services to school library users. For this purpose, association rules based on the Apriori algorithm and betweenness centrality analysis were applied and detailed functions such as descriptive statistics, generation of association rules, student-centered recommendation, and book-centered recommendation were materialized. Subsequently, opinions on the use of the book recommendation system were investigated through in-depth interviews with teacher librarians. As a result of the investigation, opinions on the necessity and difficulty of book recommendation, student responses, differences from existing recommendation methods, utilization methods, and improvements were confirmed and based on this, the following discussions were proposed. First, it is necessary to provide long-term lending data to understand the characteristics of each school. Second, it is necessary to discuss the data integration plan by region or school characteristics. Third, It is necessary to establish a book recommendation system provided by the Comprehensive Support System for Reading Education. Based on the contents proposed in this study, it is expected that various discussions will be made on the application of a personalization recommendation system that can be used in the school library in the future.

• Proceedings of the Korean Information Science Society Conference
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• 2002.04b
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• pp.700-702
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• 2002

학습지도안은 교사와 학습자의 학습활동을 효과적으로 진행하기 위한 조직적이고 구체적인 수업 진행 계획을 의미한다 이러한 학습지도안을 위한 시스템으로 학교현장에 보급된 '교무업무지원 시스템'의 '교수-학습' 메뉴와 웹을 통한HTML 형식과 파일 형식의 학습지도안 공유가 이루어지기도 한다. 그러나 교무업무지원 시스템은 데이터의 형태를 다양하게 할 수 없으며 공유를 할 수 없는 단점이 있다. 또한 HTML 형식과 파일을 공유하는 방법은 다른 형태의 문서로 재사용하기 어렵고 유연성이 떨어진다는 단점이 있다. 본 연구에서는 데이터와 프리젠테이션을 분리함으로써 데이터의 재사용을 높이고 하나의 데이터 소스를 이용하여 다양한 프리젠테이션을 가진 수 있는 XML을 이용한 웹기반의 학습지도안 활용 시스템을 제안한다. 이로써 XML을 이용한 학습지도안 문서의 한 번의 입력 작업으로 데이터의 변통 없이 XML의 적용만으로도, 교사와 학생의 요구에 맞는 여러 형태의 학습 자료로 활용할 수 있도록 만든다

• Advanced Industrial SCIence
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• v.3 no.1
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• pp.1-16
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• 2024

The purpose of this study is to develop a machine learning-based AI convergence class model and class design principles that can foster data literacy in high school students, and to develop detailed guidelines accordingly. We developed a machine learning-based teaching model, design principles, and detailed guidelines through research on prior literature, and applied them to 15 students at a specialized high school in Seoul. As a result of the study, students' data literacy improved statistically significantly (p<.001), so we confirmed that the model of this study has a positive effect on improving learners' data literacy, and it is expected that it will lead to related research in the future.

• Proceedings of the Korea Information Processing Society Conference
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• 2012.04a
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• pp.556-559
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• 2012

CTC(Connected Target Coverage) 문제는 주어진 전체 타겟을 관측하고 관측한 데이터를 싱크노드까지 전송하는데 관여하는 센서집합의 개수를 최대화하여 네트워크 수명을 최대화하는 문제이다. 본 논문은 확률 센싱 및 연결성 모델을 기반으로 CTC문제에 접근한다. CTC문제를 해결하기 위해 휴리스틱 알고리즘인 CWGC-PM 알고리즘을 제안하고 시뮬레이션을 통해 알고리즘이 CTC문제를 해결하기에 적합함을 보인다. 또한 확률모델이 다양한 커버리지 및 연결성 요구조건에 적용될 수 있음을 보인다.

• Proceedings of the Korea Information Processing Society Conference
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• 2011.11a
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• pp.556-559
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• 2011

CTC(Connected Target Coverage)문제는 주어진 전체 타겟을 관측하고 관측한 데이터를 싱크노드까지 전송하는데 관여하는 센서집합의 개수를 최대화하여 네트워크 수명을 최대화하는 문제이다. 본 논문은 센서가 타겟을 관측할 확률이 타겟과의 거리에 영향을 받는다고 가정하는 확률 커버리지 모델을 기반으로 CTC문제에 접근한다. CTC문제를 해결하기 위해 휴리스틱 알고리즘인 CWGC-PM 알고리즘을 제안하고 시뮬레이션을 통해 알고리즘이 CTC문제를 해결하기에 적합함을 보인다.