• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.4
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• pp.154-160
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• 2018

This thesis aims to develop PBL (Problem-Based-Learning) problems. Its goal is for some groups of students to creative their own problems and to confirm the effectiveness of PBL as they apply it to AI (Artificial Intelligence) in engineering schools. Modern industrial society needs competent people who have abilities in cooperative learning, self-controlled learning, united knowledge application, and creative problem-solving. Universities need to offer their students the opportunity to improve their problem-solving and cooperative learning abilities in order to train the competent people that society demands. PBL activity is an appropriate learning method for the accomplishment of these goals. The study subjects are 37 sophomore students in H University who are studying 'AI'. Five PBL problems were submitted to the class over a period of 15 weeks. The students wrote and submitted a reflective journal after they finished each PBL activity. In addition, they filled out a class evaluation form to assess the performances of each member when the $5^{th}$ PBL problem activity was accomplished. The study shows that the students experienced the effectiveness of PBL in many fields, such as the comprehension of the studied contents (86.48%), comprehension of cooperative learning (94.59%), authentic experience (75.67%), problem-solving skills (89.18%), presentation skills (97.29%), creativity improvement (81.08%), knowledge acquisition ability (86.48%), communication ability (97.29%), united knowledge application (78.37%), self-directed study ability (86.48%) and confidence (97.29%). Through these methods, the students were able to realize that PBL learning activities play an important role in their learning. These methods prepare and enhance their ability to think creatively, work systematically and speak confidently as they learn to become competitive engineers equipped with the knowledge and skills that modern industrial society demands.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.8
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• pp.250-263
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• 2019

This study was conducted to develop an online education program for visiting health nurses on National Health Examination. The study period was from November 2016 to December 2017. The program was developed in stages using rapid prototyping methodology. 1) Learners' needs were identified through literature review and focus group interviews (FGIs) with visiting health nurses and stake-holders in the field. 2) The contents of the education program including counseling strategies regarding the heath of visiting health nurses were developed. 3) Online education materials were developed and piloted amongst learners. 4) The contents of educational programs were classified into eight learning modules, and online education drafts were pilot tested. 5) Based on feedback from learners, this program was revised and a web-based continuing education program for community nurses was developed. These education programs effectively assisted nurses with counseling regarding health examinations during visiting health nursing care. Therefore, the online continuing education program may be a very effective educational approach to improving nurses competency.

• Proceedings of the Korean Statistical Society Conference
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• 2004.11a
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• pp.219-225
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• 2004

코호넨(T. Kohonen)의 자기조직화지도(Self-Organizing Map; SOM)은 저차원 그리드 공간에 고차원 다변량 자료를 축약하여 시각적으로 나타내는 비지도 학습법의 일종으로 최근 들어 통계 분석자들이 많은 관심을 가지고 있는 분야이다. 그러나 SOM은 개체공간의 연속형으로 표현되는 개체를 저차원 그리드공간에 승자노드에 비연속적으로 표현한다는 단점을 지니고 있다. 본 논문에서는 SOM을 통계적 목적으로 사용하기 위해 요구되는 그리드공간에 개체를 연속적으로 표현하는 방법들을 제안하고 활용 예를 제시하고자 한다

• Proceedings of the KAIS Fall Conference
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• 2001.05a
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• pp.261-264
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• 2001

반도체 생산현장에서의 생산성 향상과 집약적 기술의 보유는 장비 도입과 잉여 기술자 또는 숙련기술자를 교육하는 과정을 요구한다. 본 연구에서는 (주)옵토텍과 산학협동의 일환으로 장비의 교육과 관련하여 교육 소요시간을 줄이고, 주요 구동 Procedure를 매개로 하는 구동 인력의 기술력 향상과 구동 안전성을 도모하기 위하여 PCB Automatic Die Bonder(AD809-06, ASM)의 지능형 구동 학습전문화 시스템을 구축하려는 것이다.

• Proceedings of the Korea Multimedia Society Conference
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• 2004.05a
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• pp.724-728
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• 2004

디지털화된 새로운 패러다임(paradigm)은 교수 미디어에 있어서도 많은 변화를 가져오고 있다. 과거의 일방적 지식전달방식에서 탈피하여 피교육자 스스로 선택적으로 강의를 찾아다니면서 본인의 능력에 맞도록 수업을 할 수 있으며, 각종 e-Learning 컨텐츠의 활용은 물론 피드백이 가능한 커뮤니케이션을 요구하게 되었다. 본 연구에서는 디자인 기술 분야의 교과목에서 도입중인 e-Learning을 중심으로 고려되어야 할 사항 및 효율적인 학습방법과 그 활성화 방안의 한 가지를 제시하였다.

• Proceedings of the Korean Information Science Society Conference
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• 2002.04b
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• pp.223-225
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• 2002

인터넷의 급속한 성장과 함께 E-Mail은 대표적인 통신수단의 하나가 되어버렸다. 편리하다는 점을 이용해서 엄청난 양의 스팸메일이 매일같이 쏟아져 오고 , 그 문제점의 심각성에 정보통신부에서 정보통신망 이용촉진 및 정보보호 등에 관한 법률이라는 새로운 법률까지 생겨났다. 본 논문에서는 이 법률에서 요구하는 '광고'라는 문구를 걸러내는 등의 메시지 규칙을 갖는 시스템과 기존의 문서 분류에 널리 쓰이던 나이브 베이지안 분류자(Naive Baesian Classifier)를 결합한 스팸 메일 필터링 시스템(Spam-mail Fitering System)을 제안한다. 제안된 시스템에서는 사용자가 직접 규칙을 작성할 필요없이 학습한 데이터를 갖고 자동으로 스팸메일을 분류할 수가 있다. 들어온 메일은 메시지 규칙 기반 필터가 먼저 적용되고, 메세지 규칙 기반 필터에서 분류되지 않으면 나이브 베이지안 필터에서 분류된다. 실험에서는 제안된 시스템의 성능을 평가하기 위해서 메시지 규칙을 사용한 시스템 및 나이브 베이지만 분류자 시스템과 비교 평가하였다. 또한 임계치를 변경함으로써 제안된 시스템의 성능을 높일 수있도록 하였다.

• The Journal of the Korea Contents Association
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• v.10 no.10
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• pp.246-254
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• 2010

Recent changes in medical environment are based on technology such as internet. As most hospitals require the change and the adaptation of medical, medical information experts are more needed. In this study, we developed web based PBL model and applied it to the students majoring in medical information system. The developed web-PBL model focuses on learner's online learning activities to enhance collaborative learning and self-directed learning by using online learning tools. At the result of the research, We found that the students' course evaluation somewhat increased compared to the previous class and the students positively perceived on PBL model. Moreover, this study showed that using blog as a online learning tool was a good way to enhance cooperative learning.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2019.05a
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• pp.90-93
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• 2019

Recently, as SW education has been emphasized in college, interest in Computing Thinking (CT) class at the liberal level has increased. In order to effectively educate students, various methods of teaching and learning are required to reduce the burden on CT education and motivation of students. The purpose of this study is to design teaching and learning using ARCS model to improve learners' learning motivation and learning achievement in CT course as liberal arts education. In this study, the learning elements of CT were selected based on previous research on the characteristics of education in the liberal arts education of the university and analysis of the CT content. In addition, Keller 's ARCS learning motive model was selected to match the instructional tactics according to the motivational factors of Attention, Relevance, Confidence, and Satisfaction. In order to effectively teach these CT contents, detailed strategies based on the ARCS model were designed and presented weekly.

• Journal of the Korea Convergence Society
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• v.13 no.4
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• pp.63-70
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• 2022

Due to the recent changes in the education market and Corona, Consumers have moved to the tutoring and online learning markets, and the large-scale education service franchise business is reorganized into a small-scale franchise, a business model that maximizes the profit structure from a position where sales are important. Recently, a new learning balance model that can provide individualized services from teacher-centered to student-centered, motivate students is required. In this paper, we propose a new mathematical franchise model (K-MODEL) that can improve a company's profit structure while satisfying the recent education trends and consumer needs from the point of view of the franchise. K-MODEL expects franchisor and franchisees to have a stable profit structure by developing differentiated content and services, learning and operating processes, and various programs to improve learning achievement.

• Journal of the Korea Society of Computer and Information
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• v.26 no.3
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• pp.99-109
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• 2021

In recent machine learning studies, in order to consider the quality and completeness of data, derivation of non-functional requirements for data has been proposed from the viewpoint of requirements engineering. In particular, requirements engineers have defined data requirements in machine learning. In this study, data requirements were derived at the data acquisition (DAQ) stage, where data is collected and stored before data preprocessing. Through this, it is possible to express the requirements of all data required in the existing DAQ system, the presence of tasks (functions) satisfying them, and the relationship between the requirements and functions. In addition, it is possible to elicit requirements and to define the relationship, so that a software design document can be produced, and a systematic approach and direction can be established in terms of software design and maintenance. This research using existing DAQ system cases, scenarios and use cases for requirements engineering approach are created, and data requirements for each case are extracted based on them, and the relationship between requirements, functions, and goals is illustrated through goal modeling. Through the research results, it was possible to extract the non-functional requirements of the system, especially the data requirements, from the DAQ system using requirements engineering.