• 한국정보과학회:학술대회논문집
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• 한국정보과학회 2002년도 봄 학술발표논문집 Vol.29 No.1 (B)
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• pp.289-291
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• 2002

Host of source separation methods focus on stationary sources so higher-order statistics is necessary In this paler we consider a problem of source separation when sources are second-order nonstationary stochastic processes . We employ the natural gradient method and develop learning algorithms for both 1inear feedback and feedforward neural networks. Thus our algorithms possess equivariant property Local stabi1iffy analysis shows that separating solutions are always locally stable stationary points of the proposed algorithms, regardless of probability distributions of

• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 1993년도 Fifth International Fuzzy Systems Association World Congress 93
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• pp.1106-1108
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• 1993

This paper deals with an industrial application of a fuzzy feedback combined learning control to an industrial batch free radical polymerization reactor. As a result, the plant has reduced the batch reaction time by 50 minute and stabilized both by 40 percent reduction of the standard deviations of product qualities, such as the total solid content and the graft gum, and by 45 percent reduction of the standard deviation of the batch reaction end time.

• 대한전기학회:학술대회논문집
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• 대한전기학회 1996년도 하계학술대회 논문집 B
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• pp.1278-1280
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• 1996

In this paper, an Iterative learning control algorithm is presented for a class of non linear system which have external inputs or disturbances. The acceleration of error signal is used to update the next control signal. It is shown that the feedback gain can be deter.ined so that the overall errors are convergent.

• 간호행정학회지
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• 제18권4호
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• pp.442-451
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• 2012

Purpose: The purpose of this study was to identify effects of action learning approaches on learning outcomes of students taking nursing management courses. Methods: The questionnaire surveys were completed between March 2011 and June 2012 by 109 undergraduate seniors in the nursing department of C University. Survey data were obtained 3 times: before, in and after the study of nursing management. The course consisted of lectures and clinical practices. Learning outcomes were measured through problem solving skills, team efficacy, and class satisfaction. Collected data were analyzed using repeated measures ANOVA with the SPSS 20.0 program Results: Scores for problem solving skills (F=13.67, p<.001) and team efficacy (F=4.49, p=.012) showed statistically significant increases after the course. The scores also increased significantly after the lectures for 5 of 9 problem solving skill subscales: analysis skill, divergent thinking, decision making, assessment, feedback, and after the clinical practices for 2 subscales: divergent thinking, and execution and risk taking. Class satisfaction score also increased after both the lectures and the clinical practices. Conclusion: The findings from this study suggest that an action learning approaches for nursing management courses would be a useful teaching and learning method to achieve learning outcomes.

• 한국디지털건축인테리어학회논문집
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• 제12권3호
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• pp.67-79
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• 2012

The purpose of this study is to suggest the interior architecture design studio through the pedagogical method of educational technology for college students who lack self-directed learning. The pedagogical method has been organized to make a student-centered class based on the operation of existing architectural design studios. This teaching and learning method emphasizes the role of teachers as facilitators to help students lacking in self-directed learning in the design process, the BIM visualization to give students an expression of design project and the critics to give students an experience of working circumstances. The results of this study can be summarized as follows. First, This pedagogical model can improve the self-directed learning of students, accomplish the design process well through teamwork, and provide problem based learning (PBL) to settle obstacles that come up during the project. Second, through this model, students can improve their field design capacity by instructor, design feedback and criticism. Finally, This model can suggest new pedagogical methods for interior architectural design studios and management of student-centered studios.

• The Journal of Korean Physical Therapy
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• 제31권2호
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• pp.88-93
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• 2019

Purpose: The aim of the study was to develop a Korean version of an ICF e-Learning tool (KICF e-Learning tool). Methods: The process of translation and adaptation of the ICF e-Learning tool was followed: two translators developed the Korean versions independently, and a consensus version of the translation was then produced. An expert committee, which was composed of five experts from physiotherapy, occupational therapy, speech pathology, and social welfare, reviewed the consensus Korean version to make a beta version of the tool. A field test was conducted to determine if the Korean version of the tool was easy to understand and suitable to use in ICF learning. Feedback from the field test were used for the final adaptation of the KICF e-Learning tool. Results: One-hundred and twenty-six volunteers (40 males and 76 females) were invited to examine the KICF e-Learning tool. The participants reported various levels of ICF knowledge from none to very good. Forty-eight participants reported no knowledge of ICF. The majority of participants (n=84) reported that Korean terms or expression in the tool were easy to understand and one-hundred fourteen participants would recommend the tool to another person. The Korean cases would be helpful for a Korean audience to study the ICF using the tool. Conclusion: The KICF e-Learning tool was developed and is ready for use by the public for the consistency of ICF education. On the other hand, development of an advanced module will be needed.

• International Journal of Advanced Culture Technology
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• 제10권2호
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• pp.62-68
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• 2022

Evaluation as learning is important for the learner competency test, and the applicable method is studied. Assessment is the role of diagnosing the current learner's status and facilitating learning through appropriate feedback. The system is insufficient to enable process-oriented evaluation in small educational institute. Focusing on becoming familiar with the AI through experience can end up simply learning how to use the tools or just playing with them rather than achieving ultimate goals of AI education. In a previous study, the experience way of AI education with PLAY model was proposed, but the assessment stage is insufficient. In this paper, we propose ELAS (Experiential K-12 AI education Learning Assessment System) for small educational institute. In order to apply the Assessment factor in in this system, the AI-factor is selected by researching the goals of the current SW education and AI education. The proposed system consists of 4 modules as Assessment-factor agent, Self-assessment agent, Question-bank agent and Assessment -analysis agent. Self-assessment learning is a powerful mechanism for improving learning for students. ELAS is extended with the experiential way of AI education model of previous study, and the teacher designs the assessment through the ELAS system. ELAS enables teachers of small institutes to automate analysis and manage data accumulation following their learning purpose. With this, it is possible to adjust the learning difficulty in curriculum design to make better for your purpose.

• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 1993년도 Fifth International Fuzzy Systems Association World Congress 93
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• pp.993-996
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• 1993

This paper addresses the structure and its associated learning algorithms of a feedforward multi-layered connectionist network, which has distributed learning abilities, for realizing the basic elements and functions of a traditional fuzzy logic controller. The proposed neural-network-based fuzzy logic control system (NN-FLCS) can be contrasted with the traditional fuzzy logic control system in their network structure and learning ability. An on-line supervised structure/parameter learning algorithm dynamic learning algorithm can find proper fuzzy logic rules, membership functions, and the size of output fuzzy partitions simultaneously. Next, a Reinforcement Neural-Network-Based Fuzzy Logic Control System (RNN-FLCS) is proposed which consists of two closely integrated Neural-Network-Based Fuzzy Logic Controllers (NN-FLCS) for solving various reinforcement learning problems in fuzzy logic systems. One NN-FLC functions as a fuzzy predictor and the other as a fuzzy controller. As ociated with the proposed RNN-FLCS is the reinforcement structure/parameter learning algorithm which dynamically determines the proper network size, connections, and parameters of the RNN-FLCS through an external reinforcement signal. Furthermore, learning can proceed even in the period without any external reinforcement feedback.

• 공학교육연구
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• 제27권4호
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• pp.3-11
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• 2024

This study classified domestic and international systems by type, presenting their key features and examples, with the aim of outlining future directions for system development and research. AI-based learning assistance systems can be categorized into instructional-learning evaluation types and academic recommendation types, depending on their purpose. Instructional-learning evaluation types measure learners' levels through initial diagnostic assessments, provide customized learning, and offer adaptive feedback visualized based on learners' misconceptions identified through learning data. Academic recommendation types provide personalized academic pathways and a variety of information and functions to assist with overall school life, based on the big data held by schools. Based on these characteristics, future system development should clearly define the development purpose from the planning stage, considering data ethics and stability, and should not only approach from a technological perspective but also sufficiently reflect educational contexts.

• 인터넷정보학회논문지
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• 제10권3호
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• pp.159-172
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• 2009

본 연구는 학습자의 측면에서 대학 e-러닝 콘텐츠의 질에 영향을 미치는 요인을 밝히고, 대학 e-러닝 콘텐츠의 질을 향상시키기 위한 구체적인 방안을 모색해 보는 데 있다. 이를 위한 구체적인 연구문제들은 다음과 같다: 1) 대학 e-러닝 콘텐츠의 질에 영향을 미치는 요인은 무엇이며, 각 요인에 대한 학습자의 인식(중요도 만족도)은 어떠한가? 2) 대학 e-러닝 콘텐츠의 질에 영향을 미치는 요인별 중요도와 만족도 사이에는 차이가 있는가? 3) 대학 e-러닝 콘텐츠의 질을 향상시키기 위한 구체적인 방안은 무엇인가? 연구대상은 대학에서 e-러닝 강좌를 수강한 경험이 있는 수도권 지역 대학생 543명이었으며, 조사도구는 선행 연구를 토대로 개발된 38개의 문항으로 구성된 설문지를 사용하였다. 자료 분석을 위해 요인분석과 대응표본 t-검증이 사용되었다. 연구 결과, 학습자의 측면에서 본 대학 e-러닝 콘텐츠의 질에 영향을 미치는 요인은 교수전략, 학습내용, 사용성, 평가/피드백, 인터페이스의 다섯 가지로 나타났으며, 모든 요인에서 중요도와 만족도 간에 통계적으로 유의미한 차이가 있었다. 또한 요인별 중요도-만족도 매트릭스 분석 결과, 1) 학습내용은 최소한 현 상태를 지속적으로 유지해야 할 요인으로, 2) 사용성, 교수 전략, 평가/피드백은 상대적으로 중요성은 떨어지지만 여전히 만족도를 높여야 할 요인으로, 그리고 3) 인터페이스는 중요하지만 만족도가 낮아 만족도를 높이기 위한 방안이 시급히 강구되어야 할 요인으로 나타났다. 이러한 연구결과에 기초하여 학습자의 측면에서 대학 e-러닝 콘텐츠의 질을 향상시키기 위한 몇 가지 시사점을 제시하였다.