• 정보교육학회논문지
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• 제22권3호
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• pp.325-333
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• 2018

본 연구는 플립 러닝을 활용하여 SW 융합 교육을 적용하였을 때 학생들의 학습동기를 분석한 것이다. 연구의 주요내용은 SW 교육을 기존 교과와 융합한 프로그램을 개발하고, 방법적인 측면으로 플립 러닝을 활용하였다. 초등학생들을 대상으로 교육 프로그램을 적용하였으며 사전 사후 학습동기 검사를 실시하였다. 연구 분석 결과, 플립 러닝을 활용한 SW 융합 프로그램은 학생들의 학습동기 요소에서 주의집중도, 관계향상도, 자신감이 향상되었다. 본 연구에서 개발된 SW 융합 교육 프로그램과 연구 분석 결과가 SW 교육의 발전에 도움을 주고, 교육 현장에 안착하기 위한 자료로 유용하게 활용되길 기대한다.

• 정보교육학회논문지
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• 제23권6호
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• pp.551-560
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• 2019

고도화된 정보 시대의 학습은 학습자가 컴퓨터와 인터넷을 통해 정보자원에 접근하여 정보를 자기주도적으로 습득하고 평가하는 활동이라 할 수 있다. 4차 산업혁명 기술에 기반한 온라인 학습 플랫폼의 등장은 구성주의 학습이론에 기반하여 초중등 학습자가 자기주도적으로 정보를 검색하여 학습하는 환경으로 발전하고 있다. 온라인 학습환경에서 초중등 학습자의 정보검색 능력과 자기주도학습 능력에 대한 기존 연구를 살펴보면, 변인간의 긍정적 관련성이 높은 것으로 분석되었다. 하지만, 이는 특정 교과 수업과 콘텐츠에 국한된 횡단적인 연구로 보다 확장된 형태의 종단적인 연구를 통해 정보검색 능력과 자기주도학습 능력 간의 관련성을 분석해볼 필요가 있다. 본 연구에서는 8년 동안 수집된 서울교육종단연구의 패널데이터를 활용하여 정보검색 능력과 정보검색 빈도의 종단적인 패턴에 따른 자기주도학습 능력의 차이를 밝히고자 한다.

• 한국과학교육학회지
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• 제32권8호
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• pp.1356-1366
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• 2012

As the recent demand for human resources in science, technology, engineering, and mathematics (STEM), the development of professional STEM teacher is called worldwide. It is becoming a critical need in teacher education in order to educate student teachers, and prepare pre-service and beginning teachers for high quality of teaching competency. To promote the competency for $21^{st}$ century STEM teachers, the epistemology of technological pedagogical content knowledge (TPACK) is currently considered as the essential qualities of knowledge for highly qualified teachers. The aim of this study is explore the effect of case-based learning approach on TPACK competency of pre-service STEM teachers. In order to develop the pre-service teachers' competency regarding effective integration of technologies into teaching specific content areas, a series of innovative case study teaching in science and mathematics was presented to 43 participants of pre-service physics, chemistry, biology, mathematics, and computer teachers during a course of information and communication technology (ICT) in Education at Khon Kaen University, Thailand. After finishing a case presentation, the pre-service teachers were encouraged into a forum of critical open discussion by considering the potential impact of the case and the TPACK framework. They were investigated instructional design competency of using ICT tools into student learning process and their personal beliefs about ICT in educational process both before and after. The participant's reactions and learning was evaluated by using a self-reported questionnaire and an implementation log of content-specific learning process design, respectively. Results showed a change of their beliefs and the transformation of their TPACK competency in STEM teaching. In an effort to better serve the needs of high quality STEM teachers, the results of this study illustrated that the competency of TPACK could be particularly considered as a core attributes for future STEM teachers. By the way, case-based learning approach can play an effective part in preparing and professing the TPACK competency for STEM teachers.

• 한국전자거래학회지
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• 제27권1호
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• pp.1-13
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• 2022

인터넷, 모바일 등 네트워크 기술이 발전함에 따라 내외부 침입 및 위협으로부터 조직의 자원을 보호하기 위한 보안의 중요성이 커지고 있다. 따라서 최근에는 다양한 보안 로그 이벤트에 대하여 보안 위협 여부를 사전에 파악하고, 예방하는 이상징후 식별 알고리즘의 개발이 강조되고 있다. 과거 규칙 기반 또는 통계 학습에 기반하여 개발되어 온 보안 이상징후 식별 알고리즘은 점차 기계 학습과 딥러닝에 기반한 모델링으로 진화하고 있다. 본 연구에서는 다양한 기계 학습 분석 방법론을 활용하여 악의적 내부자 위협을 사전에 식별하는 최적 알고리즘으로 LSTM-autoencoder를 변형한 Deep-autoencoder 모형을 제안한다. 본 연구는 비지도 학습에 기반한 이상탐지 알고리즘 개발을 통해 적응형 보안의 가능성을 향상시키고, 지도 학습에 기반한 정탐 레이블링을 통해 기존 알고리즘 대비 오탐율을 감소시켰다는 점에서 학문적 의의를 갖는다.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2023년도 학술발표회
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• pp.246-246
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• 2023

Multi-purpose dams are operated accounting for both physical and socioeconomic factors. This study aims to evaluate the utility of a deep learning algorithm-based model for three multi-purpose dam operation (Seomjin River dam, Juam dam, and Juam Control dam) in Seomjin River. In this study, the Gated Recurrent Unit (GRU) algorithm is applied to predict hourly water level of the dam reservoirs over 2002-2021. The hyper-parameters are optimized by the Bayesian optimization algorithm to enhance the prediction skill of the GRU model. The GRU models are set by the following cases: single dam input - single dam output (S-S), multi-dam input - single dam output (M-S), and multi-dam input - multi-dam output (M-M). Results show that the S-S cases with the local dam information have the highest accuracy above 0.8 of NSE. Results from the M-S and M-M model cases confirm that upstream dam information can bring important information for downstream dam operation prediction. The S-S models are simulated with altered outflows (-40% to +40%) to generate the simulated water level of the dam reservoir as alternative dam operational scenarios. The alternative S-S model simulations show physically inconsistent results, indicating that our deep learning algorithm-based model is not explainable for multi-purpose dam operation patterns. To better understand this limitation, we further analyze the relationship between observed water level and outflow of each dam. Results show that complexity in outflow-water level relationship causes the limited predictability of the GRU algorithm-based model. This study highlights the importance of socioeconomic factors from hidden multi-purpose dam operation processes on not only physical processes-based modeling but also aritificial intelligence modeling.

• ETRI Journal
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• 제45권6호
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• pp.929-938
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• 2023

The detection of all the symbols transmitted simultaneously in multiuser systems using limited wireless resources is challenging. Traditional model-based methods show high performance with perfect channel state information (CSI); however, severe performance degradation will occur if perfect CSI cannot be acquired. In contrast, data-driven methods perform slightly worse than model-based methods in terms of symbol error ratio performance in perfect CSI states; however, they are also able to overcome extreme performance degradation in imperfect CSI states. This study proposes a novel deep learning-based method by improving a state-of-the-art data-driven technique called deep soft interference cancellation (DSIC). The enhanced DSIC (EDSIC) method detects multiuser symbols in a fully sequential manner and uses an efficient neural network structure to ensure high performance. Additionally, error-propagation mitigation techniques are used to ensure robustness against channel uncertainty. The EDSIC guarantees a performance that is very close to the optimal performance of the existing model-based methods in perfect CSI environments and the best performance in imperfect CSI environments.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2007년도 학술발표회 논문집
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• pp.58-66
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• 2007

This paper introduces the new generic dynamic neuro-fuzzy local modeling system (DNFLMS) that is based on a dynamic Takagi-Sugeno (TS) type fuzzy inference system for complex dynamic hydrological modeling tasks. The proposed DNFLMS applies a local generalization principle and an one-pass training procedure by using the evolving clustering method to create and update fuzzy local models dynamically and the extended Kalman filtering learning algorithm to optimize the parameters of the consequence part of fuzzy local models. The proposed DNFLMS is applied to develop the inference model to forecast the flow of Waikoropupu Springs, located in the Takaka Valley, South Island, New Zealand, and the influence of the operation of the 32 Megawatts Cobb hydropower station on springs flow. It is demonstrated that the proposed DNFLMS is superior in terms of model accuracy, model complexity, and computational efficiency when compared with a multi-layer perceptron trained with the back propagation learning algorithm and well-known adaptive neural-fuzzy inference system, both of which adopt global generalization.

• 한국과학교육학회지
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• 제27권2호
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• pp.126-133
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• 2007

The 'Science and Technology Mania' award program is an annual nationwide award activity organized to provide teenagers with opportunities for engaging in a high-technology-based long-term project work. The task involves designing a model ship propelled by the Lorentz force (a Lorentz ship) that allows diverse approaches irreducible to one right answer, and thus adopts features of science and technology in-the-making, In this study, we attend to opportunities for learning science that the uncertain aspects of artifact-designing project provide with participants, particularly when students communicate with scientists about their design practices. We analyze oral presentation sessions of the program and articulate two findings. First, students articulate embodied knowing in the presence of scientists. Second, students enact discursive resources deployed in concrete action. We conclude that students' design practices constitute referent that communication is directed toward and therefore become resources for developing scientific discourse.

• 컴퓨터교육학회논문지
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• 제3권1호
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• pp.127-134
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• 2000

최첨단 정보통신 기술의 급속한 발전과 구성주의 학습 이론을 기반으로 등장한 원격 교육에서는 학습자가 자신의 학습 과정을 주관함으로써 자신에게 필요한 지식과 기술을 습득하는 자기주도적 학습이 이루어진다. 그러나 웹 기반 원격 교육이나 구성주의에서 학습자 중심적, 주도적 학습을 강조 했을 때 그것이 곧 교사로부터의 해방이나 자유방임적 교육을 의미하는 것은 아니다. 따라서 본 논문에서는 교사 에이전트를 활용하여 학습자를 다양한 수준별로 지도할 수 있는 원격 교육 시스템 모델을 제안하고자 한다. 제안하는 모델에서 교사 에이전트는 학습자 정보를 바탕으로 학습자 개개인의 학습 수준에 맞는 학습 모델을 생성하고 평가에 의해 학업 성취 정도를 파악하여 다음 단계로의 학습 진행 여부를 제어한다. 이를 통하여 웹기반 원격 교육이 제공하는 학습 자원이 아무 목적없이 정보 검색 자체로 활용되는 문제점을 해결하고 진정한 학습자 중심의 교육을 실현할 수 있는 기반을 마련할 수 있다.

• 디지털산업정보학회논문지
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• 제8권2호
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• pp.145-160
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• 2012

The globe-trotting trend has been converted from tourism for the simple purposes of sightseeing and enjoyment to a form of learning and practicing the more specialized contents by directly participation. Traditional cultural resources have sufficient potential as culture and tourism assets that fit this kind of trend. Therefore, building proper tourist resources for their application has become a very urgent and important matter. To make masterpiece tourism packages through combined services of traditional cultural resources, it is necessary for operators to ponder diverse methods that can be used to develop various experience programs and conserve traditional cultural properties by continuously generating profits. The major results of this research are as follows. Firstly, this study proposes plans for unified tourist information and combined services of traditional cultural resources based on ubiquitous IT. Secondly, it is ascertained that the organization of combined operational consultative groups and the improvement of operator' capability are required to execute combined services of traditional cultural resources. Thirdly, we propose business plans to generate profits in both product aspect and network aspect.