• 한국컴퓨터정보학회논문지
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• 제29권4호
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• pp.31-38
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• 2024

본 연구는 온라인 원격교육에서 코딩 교육 활성화를 위해, 생성형 AI 기반의 학습 지원 도구개발에 필요한 하이퍼 파라미터 설정을 제안한다. 연구를 위해 세 가지 다른 학습 맥락에 따라 하이퍼 파라미터를 설정할 수 있는 실험 도구를 구현하고, 실험 도구를 통해 생성형 AI의 응답 품질을 평가하였다. 생성형 AI 자체의 기본 하이퍼 파라미터 설정을 유지한 실험은 대조군으로, 연구에서 설정한 하이퍼 파라미터를 사용한 실험은 실험군으로 하였다. 실험 결과, 첫 번째 학습맥락인 "학습 지원"에서는 실험군과 대조군 사이의 유의한 차이가 관찰되지 않았으나, 두 번째와 세 번째 학습 맥락인 "코드생성"과 "주석생성"에서는 실험군의 평가점수 평균이 대조군보다 각각 11.6% 포인트, 23% 포인트 높은 것으로 나타났다. 또한, system content에 응답이 학습 동기에 미칠 수 있는 영향을 제시하면 학습 정서를 고려한 응답이 생성되는 것이 관찰되었다.

• 산업경영시스템학회지
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• 제44권3호
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• pp.117-124
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• 2021

The development of IOT technology and artificial intelligence technology is promoting the smartization of manufacturing system. In this study, data extracted from acceleration sensor and current sensor were obtained through experiments in the cutting process of SKD11, which is widely used as a material for special mold steel, and the amount of tool wear and product surface roughness were measured. SVR (Support Vector Regression) is applied to predict the roughness of the product surface in real time using the obtained data. SVR, a machine learning technique, is widely used for linear and non-linear prediction using the concept of kernel. In particular, by applying GSVQR (Generalized Support Vector Quantile Regression), overestimation, underestimation, and neutral estimation of product surface roughness are performed and compared. Furthermore, surface roughness is predicted using the linear kernel and the RBF kernel. In terms of accuracy, the results of the RBF kernel are better than those of the linear kernel. Since it is difficult to predict the amount of tool wear in real time, the product surface roughness is predicted with acceleration and current data excluding the amount of tool wear. In terms of accuracy, the results of excluding the amount of tool wear were not significantly different from those including the amount of tool wear.

• Spatial Information Research
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• 제23권3호
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• pp.123-132
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• 2015

2009년 제7차 개정 교육과정부터 자율과 창의 교육을 중심으로 현장체험학습을 하도록 권장하고 있으며, 현장체험학습의 중요도와 관심이 증가하고 있다. 현장학습의 중요성이 증가하면서 관련 앱의 출시가 증가하고 현장체험학습 지원을 위한 다양한 연구가 진행되고 있다. 본 연구는 현장체험학습의 특징과 사용자 요구사항 분석을 바탕으로 현장체험학습을 지원하기 위한 저작도구의 개념을 정의하고, 개념적 설계를 진행하였다. 현장체험학습 저작도구는 사전, 현장, 사후단계 활동을 지원할 수 있어야 하며, 위치기반의 체험활동 저작이 가능하고, 역사, 과학, 지리 등 현장학습이 이루어지는 교과의 특성을 반영한 저작기능이 요구된다. 특히 현장체험활동 이후 탐구활동 결과물들이 재활용될 수 있는 구조로 설계되어야 함을 확인하였고, 이를 바탕으로 개념적인 설계를 진행하였다.

• Journal of the Korean Statistical Society
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• 제36권3호
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• pp.367-372
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• 2007

Classification as a tool to extract information from data plays an important role in science and engineering. Among various classification methodologies, support vector machine has recently seen significant developments. The central problem this paper addresses is the accuracy of support vector machine. In particular, we are interested in the situations where fast rates of convergence to the Bayes risk can be achieved by support vector machine. Through learning examples, we illustrate that support vector machine may yield fast rates if the space spanned by an adopted kernel is sufficiently large.

• 한국기계가공학회지
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• 제20권9호
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• pp.90-96
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• 2021

As real-time data of factories can be collected using various sensors, the adaptation of intelligent unmanned processing systems is spreading via the establishment of smart factories. In intelligent unmanned processing systems, data are collected in real time using sensors. The equipment is controlled by predicting future situations using the collected data. Particularly, a technology for the prediction of tool wear and for determining the exact timing of tool replacement is needed to prevent defected or unprocessed products due to tool breakage or tool wear. Directly measuring the tool wear in real time is difficult during the cutting process in milling. Therefore, tool wear should be predicted indirectly by analyzing the cutting load of the main spindle, current, vibration, noise, etc. In this study, data from the current and acceleration sensors; displacement data along the X, Y, and Z axes; tool wear value, and shape change data observed using Newroview were collected from the high-speed, two-edge, flat-end mill machining process of SKD11 steel. The support vector machine technique (machine learning technique) was applied to predict the amount of tool wear using the aforementioned data. Additionally, the prediction accuracies of all kernels were compared.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2000년도 하계종합학술대회 논문집(3)
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• pp.63-66
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• 2000

WBI provides new opportunities to realize the flexible learning environment based on hypermedia and to support distance learning with a diverse interaction. The instructors or learners in WBI claim to be able to resolve reluctant fluctuations such as disorientation and cognitive overload. To overcome these phenomena, a supplementary tool able to manage learning space organized by the instructor's or learner's own way and offer effective navigation techniques is presented in this paper. A learning space management and navigation tool called HyperMap dynamically represents the learning space in the form of a two-dimensional labeled graph. This HyperMap also can be used for an instruction design tool, learner's portfolio for the exchange of learning experiences. and the assessment of WBI.

• 산경연구논집
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• 제10권2호
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• pp.25-37
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• 2019

Purpose - The goal of this study is to analyze the differences in education performances between students of the government's financial support program and those who do not receive support at a local university in Korea. Research design, data, and methodology - The questionnaire used was NASEL. NASEL is considered a highly suitable survey tool for professors, courses, and performances in Korean universities. The 290 students who participated and 44 students do not participate in the financial support program were surveyed for 10 days. The characteristics of students were investigated by frequency analysis and technical statistics. The analysis of student collective characteristics used independent t and f-tests,and one-way ANOVA with IBM SPSS Statistics 22.0 for statistical purposes. Results - The p-value of the group receiving financial support and the group without financial support in active-collaborative learning is 0.167. The p-value of the economically supported group and the non-supported group of the faculty-student interaction is 0.281. The confidence coefficient of the active-collaborative learning questionnaire is 0.861. The reliability coefficient of the questionnaire for the faculty-student interaction questionnaire is 0.871. Conclusions - There are no clear differences in active-collaborative learning and faculty-student interaction between participating and non-participating students in the economic program.

• 대한한의학회지
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• 제33권4호
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• pp.60-68
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• 2012

Objectives: By grasping trends in research, technology, and general characteristics of learning support tools, this study was conducted to present a model for research on Korean Medicine (KM) to make use of information technology to support teaching and learning. The purpose is to improve the future clinical competence of medical personnel, which is directly linked to national health. Methods: With papers and patents published up to 2011 as the objects, 438 papers were extracted from "Web of Science" and 313 patents were extracted from the WIPS database (DB). Descriptive analysis and network analysis were conducted on the annual developments, academic journals, and research fields of the papers, patents searched were subjected to quantitative analysis per application year, nation, and technology, and an activity index (AI) was calculated. Results: First, research on medical learning support tools has continued to increase and is active in the fields of computer engineering, education research, and surgery. Second, the largest number of patent applications on medical learning support tools were made in the United States, South Korea, and Japan in this order, and the securement of remediation technology-centered patents, rather than basic/essential patents, seemed possible. Third, when the results of the analysis of research trends were comprehensively analyzed, international research on e-PBL- and medical simulation-centered medical learning support tools was seen to expand continuously to improve the clinical competence of medical personnel, which is directly linked to national health. Conclusions: The KM learning support tool model proposed in the present study is expected to be applicable to computer-based tests at KM schools and to be able to replace certain functions of national KM doctor license examinations once its problem DB, e-PBL, and TKM simulator have been constructed. This learning support tool will undergo a standardization process in the future.

• Educational Technology International
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• 제10권2호
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• pp.29-61
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• 2009

The purpose of this study was to design an inquiry supporting tool on wiki based collaborative learning and to investigate the effect of the inquiry supporting tool. Eight design principles were selected and more specified design strategies were made from the literatures. The first system with the first-round design principles was developed and implemented in an actual classroom. After the first field study, researcher found a few drawbacks of the system. The second system was implemented in the classroom again. Finally developed wiki-based inquiry supporting tool system is unique in that it allows instructors to design their own CSCL inquiry activities, and it has intuitive menu tabs showing inquiry learning processes.

• 컴퓨터교육학회논문지
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• 제3권1호
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• pp.23-30
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• 2000

오늘날 가상학습공동체에서 이루어지는 협동학습의 교육적 가치와 활용은 활발히 논의되고 있다. 인터넷 기반 협동학습이 성공적으로 이루어지기 위해서는 높은 수준의 상호작용 도구가 필수적이다. 본 연구에서는 기존의 네트웍 클라이언트들(News, FTP, HTTP, SMTP, 음성 문자 채팅)의 불편한 인터페이스를 개선하였으며, 이들을 통합환경에서 이용할 수 있도록 통합브라우저를 설계 구현하였다. 그리하여 인터넷 기반 협동학습과 면대면 협동학습 사이의 학습환경의 차이를 줄이고 학습효과를 높이고자 하였다.