• Computers and Concrete
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• 제33권4호
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• pp.409-423
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• 2024

Using an extensive database, a sensitivity analysis across fifteen machine learning (ML) classifiers was conducted to evaluate the impact of various data manipulation techniques, evaluation metrics, and explainability tools. The results of this sensitivity analysis reveal that the examined models can achieve an accuracy ranging from 72-93% in predicting the fire-induced spalling of concrete and denote the light gradient boosting machine, extreme gradient boosting, and random forest algorithms as the best-performing models. Among such models, the six key factors influencing spalling were maximum exposure temperature, heating rate, compressive strength of concrete, moisture content, silica fume content, and the quantity of polypropylene fiber. Our analysis also documents some conflicting results observed with the deep learning model. As such, this study highlights the necessity of selecting suitable models and carefully evaluating the presence of possible outcome biases.

• 한국산학기술학회논문지
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• 제21권8호
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• pp.557-562
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• 2020

코로나19로 인해서 비대면 강의환경에서 온라인 학습이 교육환경의 주요 학습기법으로 채택되고 있다. 온라인 학습패턴이 학업성적에 어떤 영향을 미치는지에 관한 연구가 부족하여, 본 연구에서는 학습자들의 온라인 동영상 학습횟수와 시간을 주요 요소로 두고, 매 학습에 대한 형성 평가와 함께 중간고사 기말고사를 바탕으로 학습효과의 상관관계를 분석하였다. 분석 대상은 대학에서 예체능 학부 학생들이 가장 어려워하는 교양 과목 중 컴퓨터 프로그래밍 교과목을 분석하였다. 실제 학생들의 사례를 분석한 결과 매주 실시한 형성 평가와 학습회수, 학습 시간과는 상관관계가 없는 것으로 나타났고, 중간고사와 기말고사와는 평소 학습회수(r=.39 p<0.05)와 학습 시간(r=.42 p<0.05)이 상관관계가 있는 것으로 나타났다. 강의 진행 과정에서 SMS 문자, 게시판, 메일 등의 요소는 모든 학생이 접하지 못하여 제외하였으므로, 앞으로는 좀 더 다양한 요인을 고려하여 비대면 강의환경에서의 학습자 패턴을 분석하고 연구한다면 학습자들의 요구와 학습효과를 향상할 수 있을 것이다.

• 영재교육연구
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• 제27권1호
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• pp.17-35
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• 2017

이 연구는 대학부설 과학영재교육원의 교육프로그램에 제시된 학습목표를 Bloom의 신교육목표분류체계와 언어네트워크분석 방법을 통해 분석하고 결과를 비교함으로써 학습목표를 분석할 때 언어네트워크분석 방법의 적용 가능성을 알아보기 위한 것이다. 이를 위하여 27개 대학부설과학영재교육원의 교육프로그램 중 과학 분야 169개 주제에 제시된 702개의 학습목표를 분석대상으로 선정하여 Bloom의 신교육목표 분류체계에 따라 분류하고 코딩한 후 각 학습목표 사이의 구조적 특성을 알아보기 위해 언어네트워크분석을 사용하였다. 분석 결과로 나타난 주요 특성은 다음과 같다. 첫째, 주제 별로 사용된 학습목표의 특성을 살펴본 결과 초등은 약 3개, 중등은 약 6개의 서로 다른 범주의 학습목표가 사용되고 있었다. 둘째, 연구방법과 학교 급에 관계없이 지식차원의 사실적 지식, 개념적 지식과 인지과정 차원의 '기억하다', '이해하다', '창안하다'의 비중이 높게 나타났다. 셋째, 단순 통계 분석 결과로는 확인할 수 없지만 언어네트워크분석 방법을 통한 가중치에 근거하여 살펴본 결과 초등 단계는 과학적 사실에 대한 학습을 통해 실제실험과정에 적용해 보는 활동을 강조한 반면, 중등 단계는 이보다는 과학적 사실, 개념 자체를 이해하는 것을 더욱 강조하고 있었다. 이와 같은 결과로 볼 때 기존 단순 통계적 연구를 통해 분석한 것에 비해 보다 다양한 학습목표의 특성을 해석할 수 있는 것으로 보아 언어네트워크분석방법이 학습목표를 분석하는데 적용 가능성이 높은 것으로 판단된다.

• 한국수학교육학회지시리즈B:순수및응용수학
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• 제24권4호
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• pp.211-226
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• 2017

In this paper, machine learning models employed in various fields are discussed and applied to KOSPI200 stock index return forecasting. The results of hyperparameter analysis of the machine learning models are also reported and practical methods for each model are presented. As a result of the analysis, Support Vector Machine and Artificial Neural Network showed a better performance than k-Nearest Neighbor and Random Forest.

• 컴퓨터교육학회논문지
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• 제23권3호
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• pp.9-15
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• 2020

본 연구에서는 2015 개정 교육과정에 기초한 고등학교 정보 교과서를 분석하였다. 내용 분석법으로 교과서의 구성체계를 분석하였으며, Anderson의 교육목표 분류법에 따라 학습목표를 분석하였다. 내용 분석법을 적용한 결과, 교과서는 교과 핵심역량을 증진할 수 있도록 활동, 수준별 학습, 소그룹 학습을 포함하여 구성하였다. 학습목표를 분석한 결과, 인지과정 측면에서 이해하다(41%), 개발하다(20%), 적용하다(18%)가 높았으며, 지식의 유형 측면에서는 개념(45%)이 가장 높고, 이어서 절차(32%), 사실(12%)이 높게 나타났다. 본 연구에서는 이러한 분석 결과를 토대로 교과서의 개선 방안을 제안하였다.

• The Journal of Asian Finance, Economics and Business
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• 제5권2호
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• pp.81-94
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• 2018

The purpose of this study is to substantiate the affecting factors of informal learning outcomes for professions in various dimensions of an individual and organization. In specific, the study analyzed the effects of learning motivation, job characteristics, and a supportive learning environment which have on task-related knowledge acquisition, adapting to organization and understanding contexts, relationship formation, and improving self-development-ability. The participants of the study were 261 professionals working at four major accounting firms in South Korea. Multiple regression models were applied step by step for analysis. In this study, the informal learning of professionals working at four major accounting firms is influenced by various factors of learning motivation, job characteristics, and a supportive learning environment. The detailed analysis results were as follows. Firstly, peer-support showed the most positive effect on task-related knowledge acquisition. Secondly, for adapting to organization and understanding contexts, task autonomy showed the greatest effect. Thirdly, peer-support was found to be the most important factor for relationship formation. Fourthly, for improving self-development ability, learning goal orientation showed to be the most important factor. The various factors facilitated the professional learning by empirical identification. The study presented practical implications for creating an effective informal learning support environment.

• International Journal of Advanced Culture Technology
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• 제10권1호
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• pp.160-169
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• 2022

This qualitative study aimed to investigate ways to improve effective cooperative learning from students' perspective by understanding and analyzing the learning experiences of nursing students who participated in a collaborative problem-solving learning model. Data were collected through focus group interviews and reflection journals of six second-year nursing students from G-university in J-city who participated in a collaborative problem-solving learning model course. The interview data were analyzed and divided into 3 categories and 10 subcategories according to the six-step thematic analysis method proposed by Braun and Clarke. The results of analyzing the interviews were considered based on three areas: preparation before learning, the process of collaborating as a cooperative learning experience, and solutions and expectations after learning. The participants felt frustrated because collaborative problem-solving took more time for individual learning than traditional methods did and would not allow them to check the correct answers immediately. However, they gained new experiences by solving problems and engaging in discussions within their learning community. The participants' expectations included material that could help their learning, measures to prevent free-riders, and consideration of the learning process in evaluation factors. Although this study has sample limitations by targeting nursing students in only one region, it can be used to help operate collaborative problem-solving classes, as it reflects the real experiences and opinions of students.

• 한국항공운항학회지
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• 제30권3호
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• pp.1-9
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• 2022

In this study we conducted a research regarding the effect on learning immersion and perception of the learning environment by learning presence of students in the Department of aeronautical science and flight operation in the context of non-face-to-face lectures caused by COVID-19. The relationship between learning presence (cognitive presence, emotional presence, and social presence) and learning commitment showed a high correlation. The learning immersion was also found to increase when cognitive presence, emotional presence, and social presence increased in multiple regression analysis to find out the effects of cognitive presence, emotional presence, and social presence, which are sub-factors of learning presence. The advantage of non-face-to-face classes was to be the ease of learning, and the disadvantage of non-face-to-face classes was the most difficulty of the learning process in the content analysis of the non-face-to-face class environment.

• 지식경영연구
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• 제14권1호
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• pp.121-132
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• 2013

In education, innovative ways of teaching and learning are always under development and keep being proposed with advanced concepts since the ancient times. Student-centered learning, problem-based learning and cooperative learning have been three major trends under development in secondary education research and practice more than a decade or so. Combined with advanced information and communication technologies, these trends will greatly transform the way we teach and learn in classroom environment and may change the classroom environment itself, into a more interactive and self-centered coaching type environment. In this study, a smart environment that utilizes advanced information technology devices and network is conceptualized, accommodating requirements contained and proposed in the recent trendy pedagogies. Pedagogical cases discussed in these trends are analyzed in detail, producing requirements for such a learning and coaching environment. These requirements are modeled using unified modeling language, leading to a proposal of a basic architecture for an information system supporting this environment.

• 공학교육연구
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• 제17권6호
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• pp.20-29
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• 2014

The purpose of this study is to analyze the traits on the cognitive and affective learning style of university students. CALSIU(The Cognitive & Affective Learning Style Inventory for University School Students) by Kim, E. J. was modified for applying to university students and performed with 399 university students from three universities in Daejeon and Chungnam. Statistical analysis done in this study were ANOVA and Scheffe's test. Findings of the study are as follows : First, the students with high academic achievements have intuitive perception type, whole processing type, and deep storage & recall type. Secondly, the students with low academic achievement have strong non-academic learning type. Third, interaction attitude of affective learning styles is the important element to determine their academic achievement. The students with independent type get high academic achievements. Therefore, instructor should consider the learning styles of students, and it should be used to improve their teaching & learning strategy for better academic achievements of university students.