• 한국수학교육학회지시리즈C:초등수학교육
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• 제16권2호
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• pp.147-162
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• 2013

본 연구는 초등학교 6학년에서 남녀 차가 두드러진 문항을 추출하고, 이 문항에 대한 문제해결 과정에 대한 남녀 간 차이에 대한 심층 분석 사례 연구이다. 지난해의 기초연구에서 얻은 결과를 바탕으로 측정 영역, 확률과 통계 영역, 규칙성 영역으로 구분하여 검사문항을 개발하고, 사전검사, 사후검사, 면담을 통해 남녀 성별에 따른 특성을 분석하였다. 이 분석을 통해 초등학교 교실에서 성차를 고려한 교수-학습 전개 및 평가의 개선을 기대한다.

• 컴퓨터교육학회논문지
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• 제10권2호
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• pp.27-38
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• 2007

이 연구는 미래 e-러닝 모습에 기반을 둔 e-러닝 표준화 로드맵 개발을 목적으로 한다. 이를 위해 우선 IT 기술, 교육, 표준화 기관 전문가로 구성된 e-러닝 표준화 위원회를 구성하였고, 이 위원회는 본 연구의 진행 과정과 연구물을 검토해 주었다. 연구의 첫 단계로 국내외 e-러닝 현황과 관련 연구를 조사한 다음, 이를 바탕으로 e-러닝 시나리오를 먼저 작성하였다. e-러닝 시나리오는 탑다운 방식의 로드맵 개발 방법론을 채택하여 2015년의 초중등 교육 대학 교육, 평생 교육 세 개의 e-러닝 시나리오를 작성하였다. 두 번째 단계로는 이 시나리오를 바탕으로 현재 e-러닝 표준화 요소와의 차이 분석을 통해 e-러닝 표준화 로드맵 v2를 작성하였다. 작성된 미래 e-러닝 시나리오와 e-러닝 표준화 로드맵은 교사, 교육 전문가 등 e-러닝 수혜자들이 미래의 e-러닝을 대비하고, e-러닝 표준화를 이해하는데 큰 도움이 될 것이다.

• 창의정보문화연구
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• 제7권3호
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• pp.167-176
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• 2021

본 연구에서는 COVID-19에 따른 원격수업 현황을 조사한 연구들로부터 효과적인 원격수업을 위해 교사들에게 필요한 사항들은 분석하였다. 그 결과, 원격수업 콘텐츠 관련 지원이 필요한 것으로 나타났다. 구체적으로는 원격수업 콘텐츠 제작에 특화된 플랫폼 구축 및 콘텐츠 제작·운영 관련 교원 연수의 확충, 콘텐츠 제작 관련 저작권 제도를 개선하는 방안이 필요하다고 판단된다. 또한 원격수업은 등교수업과 체계와 특징이 다르므로 원격수업을 위한 제도적 측면의 보완도 필요하다. 원격수업에 맞는 평가 방식, 교육과정 운영 권한, 학습 관리 시스템 등에 대한 지원 필요하다고 판단된다. 아울러 원격수업을 위한 인프라 확충이 필요하며, 원격학습으로 인해 학습격차 문제가 반복되지 않도록 자기주도적 향상 프로그램 및 자기주도적 원격학습을 할 수 있는 구조 및 플랫폼도 필요한 것으로 분석되었다.

• 한국수학교육학회지시리즈A:수학교육
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• 제37권1호
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• pp.87-99
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• 1998

Mathematics education is very important in future because mathematics is the basis of every study, for example, natural and social science, etc. Our nation wide curriculum has been revised six times since 1948. In 1992, the sixth revision was enforced and we are using the revised textbook now. This study aims at helping of continuous investigation for educational curriculum and textbook, and aims at efficient teaching by preventing unnecessary repetition and excessive gap in real field by analyzing the articulation of Analytics part in school textbook from elementary to high school. This thesis consists of the followings. 1.Investigation of the principles and natures of articulation along with curriculum course and notice the articulation based on the analysing tools. 2.Importance of learning functions. 3.To get the propriety, formation of 8 judging group and classification of content materials in function chapters by the judges based on the analyzing tools. 4.Analysis of presentation method and terminologies in the first concepts, suggestion teaching method to reduce gap and help of understanding on first concepts in the study of function. As a result 'development' consists of 55.8% of the total and it is higher than 'duplication' and 'gap'. To be specific in periods, between elementary school and middle school 'development' takes 64.5% and this shows an acceptable articulation in the period. While 39.4% of 'gap' in articulation between middle school and high school looks high compared with 'gap' between the previous periods. The item suggested with the 'gap' is the 'definition of function', 'value of function', 'parallel translation', 'exponential and logarithmic function'. It is observed that these materials is suddenly appeared in high school.

• 대한공업교육학회지
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• 제30권2호
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• pp.72-81
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• 2005

The purpose of this study is to do research on correlation between multiple intelligence and e-Learning strategy, which can be used to develop and strengthen e-Learning strategy. The subject was 183 college students of engineering at C university who had ever taken a lesson through e-Learning. Two items are investigated in these college students. One is whether there is a gap and any gender-related difference in multiple intelligence and e-Learning strategy, and the other is what multiple intelligences have an effect on e-Learning strategy. The e-Learning strategy developed by In-Sock Lee and the instrument by Yong-Lin Moon were used. The results of this study are as follows. First, it appeared that there was a difference between gender in musical intelligence and naturalistic intelligence. The average of musical intelligence was higher in female collegian, while the average of naturalistic intelligence was higher in male collegian. But there was no gender-related difference in using e-Learning strategy. Second, it appeared that multiple intelligence gave an explanation of self-direction intelligence up to 31.1%, expression strategy 20.35%, and information processing strategy 16.6%. The results of this study showed that logical-mathematical intelligence affected all of three e-Learning strategies. So, new curriculum which can make use of logical-mathematical intelligence needs to be developed so as to devise efficient e-Learning strategies.

• 한국IT서비스학회지
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• 제20권4호
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• pp.129-140
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• 2021

Recently, interest in AI tutors is rising as a way to bridge the educational gap in school settings. However, research confirming the effectiveness of AI tutors is lacking. The purpose of this study is to explore how effective learner characteristics and recommended item learning activities are in predicting learner's academic performance in an adaptive online learning environment. This study proposed the hypothesis that learner characteristics (prior knowledge, midterm evaluation) and recommended item learning activities (learning time, correct answer check, incorrect answer correction, satisfaction, correct answer rate) predict academic achievement. In order to verify the hypothesis, the data of 362 learners were analyzed by collecting data from the learning management system (LMS) from the perspective of learning analytics. For data analysis, regression analysis was performed using the regsubset function provided by the leaps package of the R program. The results of analyses showed that prior knowledge, midterm evaluation, correct answer confirmation, incorrect answer correction, and satisfaction had a positive effect on academic performance, but learning time had a negative effect on academic performance. On the other hand, the percentage of correct answers did not have a significant effect on academic performance. The results of this study suggest that recommended item learning activities, which mean behavioral indicators of interaction with AI tutors, are important in the learning process stage to increase academic performance in an adaptive online learning environment.

• 한국수학교육학회지시리즈D:수학교육연구
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• 제9권3호
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• pp.269-273
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• 2005

Nowadays application of modem achievements of information technologies in science, engineering and education is usual phenomenon. Application of these technologies allows easily creating new methods of learning of mathematics. More of new methods of creation of multimedia electronic manuals on high mathematics are founded to application of multimedia and communication opportunities of the computer. But application only multimedia and communication opportunities of the computer at creation of multimedia electronic manuals on high mathematics is insufficient to elimination of 'gap' between training and studying high mathematics. So, we offer a new way of the decision of this problem: creation of a multimedia electronic manual on high mathematics with built-in a mathematical environment MathCad in the national language.

• 국제학술발표논문집
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• The 9th International Conference on Construction Engineering and Project Management
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• pp.253-260
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• 2022

Existing web-based cost databases have proved invaluable for construction cost estimating. These databases have been utilized to compute approximate cost estimates using assembly rates, unit rates, and etc. These web-based databases can be used independently with traditional cost estimation methods (manual methods) or used to support BIM-based cost estimating platforms. However, these databases are rigid, costly, and require a lot of manual inputs to reflect recent trends in prices or prices relative to a construction project's location. To address this gap, this study integrated deep learning techniques with web-based price analysis to develop a database that incorporates a project's location cost estimating standards and current cost trends in generating a cost estimate. The proposed method was tested in a case study project in Lagos, Nigeria. A cost estimate was successfully generated. Comparison of the experimental results with results using current industry standards showed that the proposed method achieved a 98.16% accuracy. The results showed that the proposed method was successful in generating approximate cost estimates irrespective of project's location.

• International Journal of Computer Science & Network Security
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• 제24권3호
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• pp.71-82
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• 2024

This paper proposes a new communication system for e-learning applications to mitigate the negative impacts of COVID-19 where the online massive demands impact the current commu-nications systems infrastructures and capabilities. The proposed system utilizes high-altitude platforms (HAPs) for fast and efficient connectivity provision to bridge the communication in-frastructure gap in the current pandemic. The system model is investigated, and its performance is analyzed using adaptive antenna arrays to achieve high quality and high transmission data rates at the student premises. In addition, the single beam and multibeam HAP radio coverage scenarios are examined using tapered uniform concentric circular arrays to achieve feasible communication link requirements.

• Geomechanics and Engineering
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• 제38권3호
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• pp.231-247
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• 2024

The use of lime stabilization and geosynthetic reinforcement is a common approach to improve the performance of fine-grained soils in geotechnical applications. However, the impact of this combination on the soil-geosynthetic interaction remains unclear. This study addresses this gap by evaluating the interface efficiency and soil-geosynthetic interaction parameters of lime-stabilized clay (2%, 4%, 6%, and 8% lime content) reinforced with geotextile or geogrid using direct shear tests at various curing times (1, 7, 14, and 28 days). Additionally, machine learning algorithms (Support Vector Machine and Artificial Neural Network) were employed to predict soil shear strength. Findings revealed that lime stabilization significantly increased soil shear strength and interaction parameters, particularly at the optimal lime content (4%). Notably, stabilization improved the performance of soil-geogrid interfaces but had an adverse effect on soil-geotextile interfaces. Furthermore, machine learning algorithms effectively predicted soil shear strength, with sensitivity analysis highlighting lime percentage and geosynthetic type as the most significant influencing factors.