• Title/Summary/Keyword: self-learning

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Student Satisfaction Study of Clinical Skills Training in Korean Medical Education (한의학교육에서 임상술기교육의 만족도 연구)

  • Sim, Sung Bo;Kweon, Ji Hyeon;Kim, Hyung Woo;Hong, Jin Woo;Shin, Sang Woo
    • The Journal of Korean Medicine
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    • v.34 no.3
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    • pp.37-53
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    • 2013
  • Objectives: This study aimed to evaluate the 1st class and 2nd class's satisfaction with clinical skills training in the Korean medical curriculum. A questionnaire was given to clinical clerkship students of Pusan National University School of Korean Medicine. Methods: These items covered overall satisfaction with training, learning support environment, curriculum interconnection, training and guidance, and self-assessment. Results: Most 1st class and 2nd class respondents were satisfied with their learning support environment. However, satisfaction with curriculum interconnection was lower. Conclusions: The results of this study demonstrate that students have a high level of satisfaction with clinical skills training. It might be concluded that clinical skills training has been effectively implemented into the Korean medical education.

Self-organized Learning in Complexity Growing of Radial Basis Function Networks

  • Arisariyawong, Somwang;Charoenseang, Siam
    • Proceedings of the IEEK Conference
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    • 2002.07a
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    • pp.30-33
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    • 2002
  • To obtain good performance of radial basis function (RBF) neural networks, it needs very careful consideration in design. The selection of several parameters such as the number of centers and widths of the radial basis functions must be considered carefully since they critically affect the network's performance. We propose a learning algorithm for growing of complexity of RBF neural networks which is adapted automatically according to the complexity of tasks. The algorithm generates a new basis function based on the errors of network, the percentage of decreasing rate of errors and the nearest distance from input data to the center of hidden unit. The RBF's center is located at the point where the maximum of absolute interference error occurs in the input space. The width is calculated based on the standard deviation of distance between the center and inputs data. The steepest descent method is also applied for adjusting the weights, centers, and widths. To demonstrate the performance of the proposed algorithm, general problem of function estimation is evaluated. The results obtained from the simulation show that the proposed algorithm for RBF neural networks yields good performance in terms of convergence and accuracy compared with those obtained by conventional multilayer feedforward networks.

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A Study on Performance Assessment Methods by Using Fuzzy Membership Function and Fuzzy Reasoning

  • Je, Sung-kwan;Jang, Hye-Won;Shin, Bok-Suk;Kim, Cheol-Ki;Jaehyun Cho;Kim, Kwang-Baek
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 2003.09a
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    • pp.608-611
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    • 2003
  • Performance assessment was introduced to improvement of self-directed learning and method of assessment for differenced learning as the seventh educational curriculum is enforced. Performance assessment is overcoming limitation about problem solving ability and higher thinking abilities assessment that is problem of a written examination and get into the spotlight by way for quality of class and school normalization. But performance assessment has problems about possibilities of assessment fault by appraisal, fairness, reliability, and validity of grading, ambiguity of grading standard, difficulty about objectivity security etc. This study proposes fuzzy performance assessment system to solve problem of the conventional performance assessment. This paper presented an objective and reliable performance assessment method through fuzzy reasoning, design fuzzy membership function and define fuzzy rule analyzing factor that influence in each sacred ground of performance assessment to account principle subject. Also, performance assessment item divides by formation estimation and subject estimation and designed membership function in proposed performance assessment method. Performance assessment result that is worked through fuzzy performance assessment system can pare down burden about appraisal's fault and provide fair and reliable assessment result through grading that have correct standard and consistency to students.

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Structural Model of Evidence-Based Practice Implementation among Clinical Nurses (임상간호사의 근거기반실무 실행 구조모형)

  • Park, Hyunyoung;Jang, Keum Seong
    • Journal of Korean Academy of Nursing
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    • v.46 no.5
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    • pp.697-709
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    • 2016
  • Purpose: This study was conducted to develop and test a structural model of evidence-based practice (EBP) implementation among clinical nurses. The model was based on Melnyk and Fineout-Overholt's Advancing Research and Clinical Practice through Close Collaboration model and Rogers' Diffusion of Innovations theory. Methods: Participants were 410 nurses recruited from ten different tertiary hospitals in Korea. A structured self-report questionnaire was used to assess EBP knowledge/skills, EBP beliefs, EBP attitudes, organizational culture & readiness for EBP, dimensions of a learning organization and organizational innovativeness. Collected data were analyzed using SPSS/WINdows 20.0 and AMOS 20.0 program. Results: The modified research model provided a reasonable fit to the data. Clinical nurses' EBP knowledge/skills, EBP beliefs, and the organizational culture & readiness for EBP had statistically significant positive effects on the implementation of EBP. The impact of EBP attitudes was not significant. The dimensions of the learning organization and organizational innovativeness showed statistically significant negative effects on EBP implementation. These variables explained 32.8% of the variance of EBP implementation among clinical nurses. Conclusion: The findings suggest that not only individual nurses' knowledge/skills of and beliefs about EBP but organizational EBP culture should be strengthened to promote clinical nurses' EBP implementation.

Influencing factors on attitude, stress and satisfaction in clinical practice (교내임상실습 및 현장임상실습의 참여태도, 만족도, 스트레스에 영향을 미치는 요인)

  • Jang, Mi-Hwa;Kim, Ju-Hu
    • Journal of Korean society of Dental Hygiene
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    • v.14 no.3
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    • pp.407-415
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    • 2014
  • Objectives : The purpose of this study is to investigate the influencing factors on attitude, satisfaction and stress in clinical practice in dental hygiene students. Methods : The subjects were 304 dental hygiene students living in Suwon. The data were collected from 2012 to 2013 by a self-reported questionnaire. The data were analyzed using SPSS. Results : Clinical practice showed good results in attitude, satisfaction and stress than that in the classroom. Satisfaction in the classroom practice was proportional to clinical practice. The contents, learning management system, and the assessment tool in the classroom influenced on the dental clinical practice. As the dental clinic practice became stressful, the students tended to have negative feelings for the practice. Conclusions : In order to provide the best clinical practice contents to the dental hygiene students, it is important to prepare the best combination of the contents, learning management system, and the assessment tool in the classroom.

VR Contents Design using Tangible Interaction (Tangible Interaction을 활용한 가상현실 콘텐츠 디자인에 관한 연구)

  • 이현진
    • Archives of design research
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    • v.17 no.2
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    • pp.463-470
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    • 2004
  • This paper studied tangible interaction design of VR platform and its applications that are economic In development process and cost, flexible by contents and installation conditions, and that has business potential for consumer market. The design solution uses video based virtual world and tangible interaction by motion tracking. Our platform enables a user to monitor their action and to collaborate with other users of remote place within attractive interaction feedback. We developed two design applications, Glass Xylophone 2003 and VR Class, in our platform. Glass Xylophone 2003 provides interactive music performance and helps self practice of glass xylophone. VR Class gives more serious distance learning experience with tutoring and group collaboration. They are presented in public exhibitions and tested by exhibition visitors. They showed application potential of this design solution in interactive game, distance learning, and entertainment field.

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Reconsideration on the Affective Goals in Mathematics Education (수학 교육의 정의적 목표에 대한 재고)

  • Kim, Sun-Hee;Kim, Ki-Yoen
    • Journal of Educational Research in Mathematics
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    • v.21 no.2
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    • pp.149-163
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    • 2011
  • While the affective aspects are emphasized in the current mathematics curriculum in Korea, it is just indicated a superficial degree. Therefore in this study, based on consideration for internal representational system theories, a dynamic viewpoints of self-system processes, socio-constructivist perspectives, and motivation theories, we discuss the meaning of affective competency, the motive of mathematics learning, mathematical identity of students, social environments and affective experiences, then we suggest an affective frame in mathematical learning. Hereby, we suggest what should be considered in affect instructions and the alternative goal of mathematical education in affective aspects.

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Analysis of Elementary School Students' Visual Attention on the Editorial Design of 'Structure and Function of Our Body' in the 2007·2009 Revised Elementary Science Textbook (2007·2009 개정 초등 과학 교과서 '우리 몸의 구조와 기능' 단원의 편집디자인에 따른 초등학생들의 시각적 주의 분석)

  • Shin, Won-Sub
    • Journal of Korean Elementary Science Education
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    • v.36 no.4
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    • pp.428-438
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    • 2017
  • The purpose of this study is to analyze the visual attention of elementary school students according to the editorial design of the 2007 2009 revised elementary science textbook 'Structure and function of our body'. For this purpose, eye movements were collected while elementary school students were watching real textbooks wearing mobile eye tracker. The BeGaze 3.7 program of SMI company was used analyzing eye movements. Twenty-six elementary school students participated voluntarily in mobile tracking research. Elementary students learned the contents of textbook related to 'digestive organ' and 'respiratory organ' by using double reading learning strategy. The results of this study are as follows. First, as a result of pre- and post-knowledge tests, there was no statistically significant difference in learning effect between 2007 revised and 2009 revised textbook editing design. Second, elementary school students tended to give more visual attention to text than textbook illustrations. Third, the selective attention and persistent attention of elementary students showed a very strong positive correlation (.940), but the selective attention and self-control showed a strong positive correlation (.499). Fourth, students with high level of attention and low level showed high visual occupancy in text than in illustrations. Fifth, elementary school students preferred the 2009 revised science textbook to the 2007 revised.

Design and Applications of Inquiry-Style Geometry Program based on Operating Activity (조작활동 중심의 탐구형 기하 프로그램 설계 및 활용)

  • Kwon, Bo-Seob
    • The Journal of the Korea Contents Association
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    • v.8 no.7
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    • pp.103-111
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    • 2008
  • There have been a few mathematic education programs that based on operating activity considering cognitive development level of elementary student, although we can find a variety of computer-aided mathematic teaching methods for elementary school. The purpose of this paper was to examine the effect of mathematical program based on operating activity developed as teaching materials in plain figures. As results of the post-achievement test and attitude test, it was found that the math program has been improved the achievement positively. By a result that inspects mathematical learning attitude of the experiment group, it was found that variable factors such as interest, confidence, self-learning were changed significantly more important in statistics.

Multi-Radial Basis Function SVM Classifier: Design and Analysis

  • Wang, Zheng;Yang, Cheng;Oh, Sung-Kwun;Fu, Zunwei
    • Journal of Electrical Engineering and Technology
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    • v.13 no.6
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    • pp.2511-2520
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    • 2018
  • In this study, Multi-Radial Basis Function Support Vector Machine (Multi-RBF SVM) classifier is introduced based on a composite kernel function. In the proposed multi-RBF support vector machine classifier, the input space is divided into several local subsets considered for extremely nonlinear classification tasks. Each local subset is expressed as nonlinear classification subspace and mapped into feature space by using kernel function. The composite kernel function employs the dual RBF structure. By capturing the nonlinear distribution knowledge of local subsets, the training data is mapped into higher feature space, then Multi-SVM classifier is realized by using the composite kernel function through optimization procedure similar to conventional SVM classifier. The original training data set is partitioned by using some unsupervised learning methods such as clustering methods. In this study, three types of clustering method are considered such as Affinity propagation (AP), Hard C-Mean (HCM) and Iterative Self-Organizing Data Analysis Technique Algorithm (ISODATA). Experimental results on benchmark machine learning datasets show that the proposed method improves the classification performance efficiently.