• 한국문헌정보학회지
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• 제50권3호
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• pp.249-265
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• 2016

본 연구의 목적은 Cutter의 전개분류법 특징을 분석하는 것이다. 분류법 평가와 관련된 4가지 요소를 기준으로 전개분류법을 분석하였다. 연구 결과로 첫째, 주류 배열은 철학과 종교, 역사와 지리, 사회과학, 자연과학과 예술, 언어와 문학 순으로 배열되어 있어 그 순서가 논리적이며 진화적이다. 둘째, 기호법은 문자를 사용하는 순수기호법이며, 저자기호법을 포함시켰다. 셋째, 7개의 표로 구성되어 있으며, 제2표는 자연과학 분야가 전개되었고, 제3표부터는 전 주제 분야로 확산되었다. 넷째, 지역구분을 적용하였는데, 대륙별로 지역의 연결성을 강조하여 나열하였다.

• Educational Technology International
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• 제7권1호
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• pp.1-20
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• 2006

This paper describes practical research on the improvement of teaching and learning process by integrating Web Bulletin Board (WBB) and mobile phone. This paper addresses three topics; A) the interactive lecture with topics-based discussions using the Web Bulletin Board (WBB) as a tool for assisting discussion, B) the introduction of peer evaluation among students to develop their problem-solving and cognitive skills, C) the use of mobile phones for promoting interactive lectures, keeping class attendance, conducting assignments, and providing notices for the next class. Results indicated the following research-findings: (1) WBB plays a role in facilitating positive participation in classes. (2) In contrast to the scenario of the traditional mode of instruction (without the usage of WBB), students were able to deepen their understanding of the theme by accessing the WBB before and after classes. (3) Peer evaluation highly promoted students' motivation to learn, and was effective in cultivating meta-cognition through modeling. (4) Mobile phone was identified as a highly effective tool for keeping class attendance, realizing interactive classes by generating discussions, and managing assignments and homework.

• Journal of Information Processing Systems
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• 제13권4호
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• pp.778-804
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• 2017

Software today has become an inseparable part of our life. In order to achieve the ever demanding needs of customers, it has to rapidly evolve and include a number of changes. In this paper, our aim is to study the relationship of object oriented metrics with change proneness attribute of a class. Prediction models based on this study can help us in identifying change prone classes of a software. We can then focus our efforts on these change prone classes during testing to yield a better quality software. Previously, researchers have used statistical methods for predicting change prone classes. But machine learning methods are rarely used for identification of change prone classes. In our study, we evaluate and compare the performances of ten machine learning methods with the statistical method. This evaluation is based on two open source software systems developed in Java language. We also validated the developed prediction models using other software data set in the same domain (3D modelling). The performance of the predicted models was evaluated using receiver operating characteristic analysis. The results indicate that the machine learning methods are at par with the statistical method for prediction of change prone classes. Another analysis showed that the models constructed for a software can also be used to predict change prone nature of classes of another software in the same domain. This study would help developers in performing effective regression testing at low cost and effort. It will also help the developers to design an effective model that results in less change prone classes, hence better maintenance.

• 한국가정과교육학회지
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• 제12권2호
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• pp.65-79
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• 2000

The purpose of this study was to suggest the most effective method of group formation necessary fro the cooperative learning of the home economics in the middle school. For this purpose, 12 classes students in the 3rd grade of a middle school in Inchon City have been divided as 3 groups: 4 classes were consisted of the groups by the records, 4 classes by close friend. and 4 classes by lot. The STAD method of the cooperative learning methods has been evenly introduced to all 12 classes for 10 hours in 10 weeks. After those sessions. some questionnaires asking . and were collected from all students, Data, which were analyzed by the method of group formation for male and female students groups, showed following results: 1. The most effective group forming method was the group consisted by lot. This group was more effective than the group by close or the group by records. 2. While male students were influenced by the group forming method in the cooperative learning. female students were not. 3. More activity of the groups resulted more effects of the cooperative learning and made more positive attitude to the study of the home economics, and thus. teachers should care for the activity of each to make the students cooperative and to activate in the class.

• 대한전자공학회논문지TC
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• 제40권10호
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• pp.59-66
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• 2003

본 논문에서는 다수 트래픽 클래스들에게 최소 대역폭을 보장해 줄 수 있는 광버스트스위칭 (Optical Burst Switching, OBS) 기법을 제안한다. 현재까지 제안되었던 QoS (Quality of Service) 관련 OBS 기법들은 클래스간 차별화는 가능하였으나 여러 클래스들이 존재하는 경우 하위 우선순위의 트래픽 클래스는 상급 클래스와 충돌로 최소 대역폭을 보장해 주진 못 하였다. 본 논문에서는 클래스별로 데이터 채널의 일정 시간구간을 할당하여, 최소한 그 영역에서는 최상급 클래스보다도 높은 우선순위를 부여하여 최소 대역폭을 보장받도록 하였다. 이런 동작을 효율적으로 가능하게 하기 위해서 새로운 버스트 어셈블리 알고리즘과, 데이터 채널의 시간영역을 관리방법을 제안한다. 또한 제안된 기법의 단대단 지연시간과 성능을 시뮬레이션을 통해 검증하였다.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2019년도 학술발표회
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• pp.150-150
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• 2019

The development of prolong and severe drought can directly impact on the environment, agriculture, economics and society of country. A lot of efforts have been made across worldwide in the planning, monitoring and mitigation of drought. Currently, different drought indices such as the Palmer Drought Severity Index (PDSI), Standardized Precipitation Index (SPI), Standardized Precipitation Evapotranspiration Index (SPEI) are developed and most commonly used to monitor drought characteristics quantitatively. However, it will be very meaningful and essential to develop a more effective technique for assessment and monitoring of onset and end of drought. Therefore, in this study, the hidden Markov Bayesian classifier (MBC) was employed for the assessment of onset and end of meteorological drought classes. The results showed that the probabilities of different classes based on the MBC were quite suitable and can be employed to estimate onset and end of each class for meteorological droughts. The classification results of MBC were compared with SPI and with past studies which proved that the MBC was able to account accuracy in determining the accurate drought classes. For more performance evaluation of classification results confusion matrix was used to find accuracy and precision in predicting the classes and their results are also appropriate. The overall results indicate that the MBC was effective in predicating the onset and end of drought events and can utilized for monitoring and management of short-term drought risk.

• 공학교육연구
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• 제25권5호
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• pp.94-103
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• 2022

In this study, we examined the cases of online video classes conducted under the COVID-19 situation for 46 first-year students majoring in electrical engineering at a 3-year college in Gyeongnam. The research was carried out according to the course development process so that classes could be conducted efficiently, focusing on electromagnetism(1) course in the second semester of the first year. The online class consisted of uploading PPT recorded videos and lecture materials to the LMS and giving assignments. The contents of the study were in the scope of examining learners' perceptions through online learning contents, assignment submission, mutual feedback between instructors and learners, university-level lecture evaluation, and free opinions on online video-based electromagnetism(1) classes. As a result of the study, it was confirmed that online lecture review and problem-solving are particularly important for understanding lecture materials, and also given the nature of engineering subjects that require plenty of mathematical expressions, the detailed and immediate feedback provided by instructor enhances learners' class satisfaction and understanding. Based on these, the direction of online classes to be developed after the COVID-19 pandemic and teaching and learning methods suitable for the characteristics of subjects were discussed.

• 한국의상디자인학회지
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• 제25권3호
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• pp.41-52
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• 2023

This study developed and taught VR content to be used in clothing design and composition practice, which are practical subjects for home education students at the College of Education, and examined the learning effects on students who participated in VR experiences. First, after experiencing classes using VR content, students' perceptions of classes were examined considering participation, class level, expectations, and satisfaction through a survey. As a result of examining the experience of learning sewing machines in classes using VR content and changes in perception of classes, it was found that the class level, class expectations, and satisfaction were affected. As a result of comparative analysis of VR experiences and the perception of VR classes prior to experiencing VR content related to sewing machines developed for practical subjects, VR experiences affected class participation, class level, expectations, but satisfaction was not affected. The advantages of the VR class that students mentioned in the subjective evaluation included interest in the class, the degree of participation, the VR experience, and the use of VR. As for the disadvantages, difficulties in using the device, dizziness, frustration when using the device, and limitations of the program were mentioned.

• 한국도서관정보학회지
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• 제53권3호
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• pp.455-477
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• 2022

본 연구는 정보활용교육의 주요 토픽과 사서교사 역량 강화를 위해 실시되고 있는 교원능력개발 평가지표의 비교·분석을 통해서 사서교사가 적절한 요소를 통해 평가가 이루어지고 있는지 분석하였다. 이를 위해 1995년부터 2022년 5월까지 문헌정보학 분야 4대 학술지에서 출판된 정보활용교육 관련 논문들을 수집하여 LDA 토픽모델링을 실시하였다. 토픽모델링 결과 20개의 토픽 중 정보활용교육(T10)이 12.0%로 가장 활발하게 논의되고 있음을 알 수 있으며, 도서관 활용수업(T2) 10.4%, 이용자 서비스(T3) 8.8%가 그다음 순으로 나타났다. 반면 독서토론(T7) 3.3%, 독서교육(T19) 2.9%, 인력 관리(T13) 2.1%, 사서교사 직무 만족도(T17) 2.1% 등은 정보활용교육 토픽모델링에서 저조한 토픽들로 나타났다. 또한 학교도서관 사서교사의 수업모형개발(T1)과 교육과정 개발(T20)은 사서교사가 협업수업과 정보활용교육을 진행함에 있어서 필수적으로 수행하는 과정임에도 불구하고 현행 교원능력개발 평가지표에는 고유한 평가지표로 반영되어 있지 않는 것으로 나타났다. 이에 본 연구에서는 교원능력개발평가 사서교사 평가지표 '교육 및 수업 지원' 요소에 '수업모형 및 교육과정 개발'을 추가 평가지표로 제안하였다.

• 한국학교수학회논문집
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• 제13권3호
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• pp.357-379
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• 2010

고교 평준화 정책 이후 교육의 수월성이 소홀히 된다는 이유로 수준별 수업의 실시 방법에 대한 많은 연구들이 있었다. 수준별 수업 이후 수준별 평가에 대한 도입이 2008년 교육과학기술부에서 발표되었고, 이는 학생들이 수준에 맞는 평가를 받는 것을 말한다. 본 연구는 Cotton의 평가가 갖추어야 할 원칙을 참고하여 Gipps의 시험의 영향에 대한 연구 결과를 강조하여 본 연구의 형성평가 문항의 구성기준을 세웠으며 이 기준에 맞게 수준별 평가 문항을 구성하였다. 번져 본 연구는 MacGregor의 대수를 보는 관점과 Foucault의 관점에서 본 수학 수업과 Foucault의 시험에 대한 생각을 이론적 토대로 하여 행렬 단원의 학습 내용을 산술과 구조를 강조하여 도입하였으며 그 후, 학생들의 질문을 받아 학생들의 관심과 수준을 반영하여 수준별 평가 문항을 구성하였다, 그런 다음, 우리는 본 연구에서 설정한 형성평가 문항 기준에 맞추어 평가 문항을 적절하게 수정하였고 그 결과를 분석하였다.