• 한국콘텐츠학회논문지
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• 제14권6호
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• pp.453-465
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• 2014

본 연구는 과학과 의학 분야에서 많은 연구와 그 성과를 검증받고 있지만 사회과학과 경영분야에서 상대적으로 미흡한 연구가 진행된 문제중심학습에 대한 연구이다. 또한 본 연구에서는 외식창업관련과목에서 문제중심학습의 적용을 통해 문제해결능력에 대한 효과를 검증하고자하였다. 본 연구를 위한 문헌조사를 마친 후 외식창업관련과목을 위한 문제중심학습의 개발을 위해 교과목의 목표와 학생들의 외식창업관련 기초 지식을 점검하였다. 이후 문제의 개발과 시행에 대한 구체적이고 세밀한 부분에 대한 고려를 통해 하이브리드 형식의 문제중심학습을 진행하기로 하고 수업계획서, 문제의 생성과 적용, 평가과정에 대한 일련의 구성을 완성하였다. 교육 시행 후 학생들에게서 나타나는 문제해결능력의 향상 정도를 측정하기 위해 실험집단과 통제집단을 구분하고 이들에게 각각 문제중심학습과 일반적인 강의방식의 교육을 실시한 후 교육전과 후의 문제해결능력에 대한 변화를 측정하였다. 연구의 결과를 통해 일반적인 강의방식의 일부를 적용한 하이브리드 방식의 문제중심학습의 적용은 외식창업관련과목에서 학생들의 문제해결력을 향상시키는데 있어서 매우 효과적인 학습방법임을 선행연구들과 함께 다시 한 번 증명하였다.

• Journal of Information Technology Applications and Management
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• 제29권3호
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• pp.43-55
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• 2022

In this study, with the goal of developing a deep learning-based product recommendation model for effective matching of influencers and products, a deep learning model with a collaborative filtering model combined with generalized matrix decomposition(GMF), a collaborative filtering model based on multi-layer perceptron (MLP), and neural collaborative filtering and generalized matrix Factorization (NeuMF), a hybrid model combining GMP and MLP was developed and tested. In particular, we utilize one-class problem free boosting (OCF-B) method to solve the one-class problem that occurs when training is performed only on positive cases using implicit feedback in the deep learning-based collaborative filtering recommendation model. In relation to model selection based on overall experimental results, the MLP model showed highest performance with weighted average precision, weighted average recall, and f1 score were 0.85 in the model (n=3,000, term=15). This study is meaningful in practice as it attempted to commercialize a deep learning-based recommendation system where influencer's promotion data is being accumulated, pactical personalized recommendation service is not yet commercially applied yet.

• 실천공학교육논문지
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• 제14권1호
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• pp.91-97
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• 2022

핵심적인 미래역량(비판적 사고, 의사소통, 협업, 창의성) 개발을 위한 대표적인 교육방법으로 문제중심 학습법(PBL, problem based learning)이 주목받으며 대학에서의 적용이 확산되고 있다. PBL 수업의 중요한 특징 두 가지는 '팀원들과의 협업'과 '상호작용에 기반한 참여형, 자기주도적 학습'이다. 최근 코로나19 팬데믹이 장기화 됨에 따라 비대면 원격수업이 대학교육에서 임시방편이 아닌 필수요소가 되었고, 시공간 제약에 의해 앞서 언급한 두 가지 특징을 충족시키기 어렵다는 한계점에 부딪혔다. 본 논문에서는 기존에 H대학에서 비대면으로 운영했던 PBL 강좌 사례에 대한 한계점을 분석하고, 메타버스 가상공간에서 이루어지는 개선된 PBL 수업 방식을 상세하게 설계하였다. 제안하는 메타버스 활용 PBL 수업에서는 팀에서 진행한 연구 내용들을 담은 자료(이미지, pdf, 동영상 파일 등)를 3차원 가상공간에 갤러리 형태로 자유롭게 꾸미고 전시할 수 있어서 팀원들의 적극적인 참여를 유도할 수 있다. 또한 갤러리를 팀원들의 프로젝트 협업 공간으로 활용할 수도 있고, 최종 프리젠테이션 장소로 활용할 수도 있다. 이 수업 방식은 가능한 빠른 시일 내에 동일 PBL 수업에 적용하여 효과성을 분석하고 개선점을 도출할 것이다.

• 대한지구과학교육학회지
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• 제6권1호
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• pp.78-86
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• 2013

The purpose of this study is to analyze the effects of the Project based STEAM program on primary students' Problem solving process and creative personality. Based on the concept of project based learning and STEAM derived from a literature review, a learning program has been developed and applied to 28 elementary 4-6th students. Problem Solving Process and Creative personality tests were conducted before and after Project based STEAM program lessons. The results of this study are as follows. (1)Project-based STEAM was affected all components of problem solving process. (2) Project-based STEAM was affected all eight components of creative personality positively, (3) after using Project-based STEAM was good reaction by students. As a result, the elementary science class with Project-based STEAM had problem solving process for positive educational effect and creative personality. it means the science class with creative personality has potential possibilities and value to develop problem solving process and creative personality.

• 수산해양교육연구
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• 제23권1호
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• pp.105-115
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• 2011

Education is focused on how to nurture creative problem-solving skills talent in rapidly changing information society. The algorithm education of computer science is effective in improvement of students' logical thinking and problem solving capability. However, the algorithm education is very difficult to teach in elementary students level. Because it is difficult to understand abstract characteristic of algorithm. Therefore we developed educational contents based on the principle of the algorithm for improve students' logical thinking and problem-solving capability in this study. And educational contents contain interesting elements of the game. So, students will be interested in algorithm learning and participate actively through developed educational contents. Furthermore, students' creative problem-solving capability may improve through algorithm learning.

• 한국응용과학기술학회지
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• 제40권1호
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• pp.160-167
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• 2023

본 연구는 대학의 피부미용 전공교육에서 문제중심학습(PBL) 적용에 따른 학습효과를 알아보고, 피부미용 교육경쟁력을 강화할 수 있는 교수·학습방법 개발을 위한 기초자료 제공을 목적으로 하였다. 이에 본 연구는 H대학교에 개설된 피부미용 전공 교과목인 "동양요법" 수강 학생 15명을 대상으로 PBL 수업을 적용하여 실증적 교육효과 분석을 실시하였다. 그 결과 PBL 수업을 참여한 후 학습자들의 문제해결 능력과 협력적 자기효능감의 평균값이 상승하여 유의미한 차이를 보였으며, 이에 따라 PBL 교수학습법의 효과성이 확인되어 피부미용 교육 현장에서 학습자들의 문제해결 능력과 협력적 자기효능감 상승을 위한 효과적인 교수학습법으로 제안하는 바이다.

• 동의생리병리학회지
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• 제26권3호
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• pp.351-359
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• 2012

This study aims to evaluate the student satisfaction of problem-based learning(PBL) in Korean medical curriculum. A questionnaire was given to clinical clerkship students of Pusan National University School of Korean medicine. These items covered overall evaluation of module & learning environment, tutoring, individual learning, group learning and effectiveness for clinical clerkship in PBL. By most of all respondents, PBL was recognized as a more effective learning method. Most respondents were satisfied with the group learning, individual learning and effectiveness for clinical clerkship. However, satisfaction was lower for tutors and module. The results of this study demonstrated that the students had a high level of satisfaction in PBL. It might be concluded that PBL was successfully implemented into the Korean medical curriculum.

• Journal of Power Electronics
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• 제10권6호
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• pp.595-603
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• 2010

In this paper, teaching in a "switching converter (SC) design" course using problem-based learning (PBL) with dynamicbehavior- model simulation, given at Lunghwa University of Science and Technology (LHU), Taiwan, is proposed. The devised methodology encourages students to design and implement the SCs and regulate the controller's parameters in frequency domain by using 'sisitool' ('bode') in the MATLAB toolbox. The environment of PBL with converter characterization modeling and simulation reforms the learning outcome greatly and speeds up the teaching-learning process. To qualify and evaluate the learning achievements, a hands-on project cooperated with the continuous assessment approach is performed to modulate the teaching pace and learning direction in good time. Results from surveys conducted in the end of the course provided valuable opinions and suggestions for assessing and improving the learning effect of the proposed course successively. Positive feedbacks from the examinations, homework, questionnaires, and the answers to the lecturer's quizzes during class indicated that the presented pedagogy supplied more helpfulness to students in comparisons with conventional teaching paradigm, their learning accomplishments were better than expected as well.

• 한국도서관정보학회지
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• 제38권1호
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• pp.423-441
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• 2007

독서능력은 학생의 문제해결능력과 자기주도 학습능력 그리고 평생학습능력을 위한 핵심능력이며, 학습독서는 자원기반학습이나 탐구기반학습을 통해서 이루어진다. 본 연구에서는 학습독서의 한 방법으로서 통합교육과정을 제시하고 있는데, 이 방법은 교과교사와의 협력을 통해서 완성된다. 특히 본 연구에서는 통합교육과정과 협동수업을 위한 구체적인 학습모형으로서 독서기반 정보문제 해결모형을 소개한다.

• Journal of Information Processing Systems
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• 제17권4호
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• pp.721-736
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• 2021

For the mobile edge computing (MEC) system supporting dense network, a joint allocation algorithm of computing and communication resources based on reinforcement learning is proposed. The energy consumption of task execution is defined as the maximum energy consumption of each user's task execution in the system. Considering the constraints of task unloading, power allocation, transmission rate and calculation resource allocation, the problem of joint task unloading and resource allocation is modeled as a problem of maximum task execution energy consumption minimization. As a mixed integer nonlinear programming problem, it is difficult to be directly solve by traditional optimization methods. This paper uses reinforcement learning algorithm to solve this problem. Then, the Markov decision-making process and the theoretical basis of reinforcement learning are introduced to provide a theoretical basis for the algorithm simulation experiment. Based on the algorithm of reinforcement learning and joint allocation of communication resources, the joint optimization of data task unloading and power control strategy is carried out for each terminal device, and the local computing model and task unloading model are built. The simulation results show that the total task computation cost of the proposed algorithm is 5%-10% less than that of the two comparison algorithms under the same task input. At the same time, the total task computation cost of the proposed algorithm is more than 5% less than that of the two new comparison algorithms.