• Title/Summary/Keyword: self-knowledge learning

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A Study on the Educational Effect of the History of Fashion and Costume through a Comparison of General Lecture and IC-PBL(Industry-coupled Problem-based Learning) (일반 수업과 IC-PBL 적용 수업의 비교를 통한 패션복 식사의 교육 효과 연구)

  • Jung, Yeonyi;Lee, Youngjae
    • Journal of Fashion Business
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    • v.25 no.2
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    • pp.98-109
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    • 2021
  • The purpose of this study was to present the case of class operation by paralleling a general instructor's lecture class and a IC-PBL class in a fashion design major course and comparing the educational effects. The teaching model of this study was designed to improve the ability to use the knowledge gained in accordance with the needs of the industrial field and to develop an independent learning ability. It will provide meaningful data. This study measured and considered the qualitative items of self-efficacy and changes in class perception through interviews and questionnaires completed by the learners after experiencing each general class and IC-PBL class. The results of this study are, first, that in the History of Fashion and Costume class, the general teaching method and the IC-PBL teaching method were applied in parallel to design a class, and a method case was presented. Second, as a result of comparing the educational effects of the two teaching methods through a student questionnaire, IC-PBL was more effective in improving learning attitude, learning achievement and self-efficacy. In addition, after the IC-PBL class on History of Fashion and Costume, the students' negative perception of team activities improved, and the students' cooperative ability and creativity improved.

A Personal Agent for Combining the Home Appliance Services and Its Learning Mechanism

  • Takeda, Yuji;Sakamaki, Kazumi;Ootsu, Kanemitsu;Yokota, Takashi;Baba, Takanobu
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 2003.09a
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    • pp.74-77
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    • 2003
  • In this paper, we propose a new personal agent for generating the combinational services from using history of appliances in the home network environment. In such environment, it is required that flexible services can be provided by combining services of appliances and unskillful users can use these services without knowledge. So, it is needed to satisfy following: (1) combinational services can be suggested automatically and (2) the increase of services can be followed. Then, we propose a new personal agent that suggests combinational services by learning the lifestyle. Its learning mechanism is based on Self-Organizing Map (SOM), and can follow the increase of services. We implemented the the agent, and use history of a user for two weeks was made to learn. As the result, we confirmed that the agent can extract services related with time or location and can suggest combinational services.

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A Study of Applying Jigsaw Model to Applied Mathematics (과제분담 협동학습을 응용수학에 적용한 사례 연구)

  • Nam, Hyewon
    • Journal of Engineering Education Research
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    • v.22 no.5
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    • pp.13-19
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    • 2019
  • It is important to encourage students who are having difficulty learning mathematics and majors due to lack of basic knowledge, and encourage them to improve their academic performance by focusing on and participating in class. The purpose of this study is to confirm the applicability of the Jigsaw Method by analyzing the change of the learner's academic achievement and the attitude of the learner's mathematics by applying the Jigsaw Model. During the four weeks, the Jigsaw Model was applied to 30 experimental students and the instructor-led lectures were given to 36 students in the comparative group. As a result of the study, it was confirmed that the average of the experimental groups applying the Jigsaw model was higher than the average of the comparative group in the lecture class. The results of the survey showed that the Jigsaw Model increased class concentration and participation, helped self - directed learning, and had high learning satisfaction.

Construction and Validation of a Cognitive Presence Scale for Measuring Online Learners' Engagement

  • KANG, Myunghee;CHOI, Hyungshin
    • Educational Technology International
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    • v.10 no.1
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    • pp.41-57
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    • 2009
  • Cognitive presence, a sense of "being there" cognitively, has recently been considered as an important indicator for students' engagement in e-learning. There is, however, no widely accepted scale to measure the level of cognitive presence since most studies have put their effort to set and clarify the conceptual framework with qualitative methodology. This study reviewed existing theories on cognitive presence and related fields extensively and developed a new self-report scale for measuring the conceived level of cognitive presence. The reliability and validity of the scale was tested against 723 undergraduate students in two consecutive studies, 418 in the preliminary and 305 in the follow-up study. Three major constructs to measure the perceived level of cognitive presence were: 1) clear understanding, 2) knowledge construction, and 3) learning management. This paper reports the final results of the two independent studies.

Effects of Astronomical STEAM Program Using Co-teaching on Self-Directed Learning Attitude of Elementary Science Gifted Students (천문 STEAM 프로그램에서 코티칭의 활용이 초등과학 영재학생의 자기주도적 학습 태도에 미치는 효과)

  • Son, Jun Ho;Kim, Jonghee;Kim, Young Gon
    • Journal of the Korean earth science society
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    • v.35 no.7
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    • pp.572-584
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    • 2014
  • The purpose of this study was to find out the effects of astronomical STEAM program using co-teaching on self-directed learning attitude. For this purpose, we developed an astronomical STEAM program and applied it to elementary science gifted students. Thirty six, $5^{th}$ and $6^{th}$ grade elementary science gifted students were participated in this study in total having 16 students in experimental group and 20 students in control group. The results were described as follows. First, astronomical STEAM program using co-teaching was effective in improving self-directed learning attitude. Second, the program was effective in improving participants' openness to learning opportunities and problem-solving. Third, students were satisfied with the co-teaching that provided ample feedbacks and detailed explanations, and teachers perceived that co-teaching was helpful to overcome a lack of professional knowledge, and to solve difficulties of evaluation and preparing teaching materials for STEAM classes. With findings, we discussed implications for co-teaching of STEAM lessons to improve students' self-directed learning attitude at the end of paper.

Analysis of Brain Activation on the Self-Regulation Process in College Life Science Learning between Biology Major and Non-Major Students (생물전공 대학생과 비전공 대학생의 생명과학 학습에서 자기조절 과정의 두뇌 활성 분석)

  • Su-Min Lee;Sang-Hee Park;Seung-Hyuk Kwon;Yong-Ju Kwon
    • Journal of Science Education
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    • v.46 no.3
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    • pp.255-265
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    • 2022
  • The purpose of this study is to analyze and compare brain activation that appears in the self-regulation process of biology major and non-major college students in life science learning. The self-regulation task implemented a life science learning situation with the concept of biological classification. The brain activation of college students was measured and analyzed by fNIRS. In the assimilation process, bilateral FP and left DLPFC show significant activation, and the two groups show a difference in the left OFC activation related to motivation and reward. In the conflict process, the left DLPFC shows significantly lower activation in common, and the two groups show a difference in activation between BA 46, which is related to recent memory, and BA 47, which is related to long-term memory. In the accommodation process, a significantly high activation was found in right DLPFC in common, and the two groups show a difference in activation between right DLPFC and right FP. These areas are in the right frontal lobe area and are related to the understanding of life science knowledge. As a result of this study, it can be seen that the brain activation patterns of biology major and non-major college students are different in the self-regulation process. In addition, we will propose additional neurological studies on self-regulation and present systems and learning strategies that can be constructed in school settings.

A Case Study on the Application of Visual merchandising (PBL) for Shop Manager (샵매니저를 위한 비주얼 머천다이징 수업에의 문제중심학습 (PBL) 적용 사례 연구)

  • Lee, Jisoo;Lee, Yoonjung;Noh, Hyekyun
    • Human Ecology Research
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    • v.56 no.1
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    • pp.71-84
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    • 2018
  • This study presents a case of a visual merchandising course adopting a problem-based learning (PBL) model, as a part of shop manager training program for high school students. Various vocational training classes are actively developed for vocational high schools, yet programs in the home economics area are relatively lacking. In particular, education programs for shop manager training are urgently required due to the high demand of this job in the fashion industry. The PBL model, which reflects constructionist learning theory, is considered for this visual merchandising course in order to help develop the ability of students to creatively apply their knowledge on real-world problems through self-driven learning. For the purpose of job analysis, two problem areas were identified through interviews conducted with shop managers who work for apparel shops in department stores. Based on the results of the interviews, professors and high school teachers developed two PBL instructional modules. The developed module courses were implemented with 2 classes of vocational high school students. The learning outcome was examined through the analysis of a student survey and reflection journals. It was apparent that the PBL courses effectively attracted the interests of learners in vocational training and improved their understanding of the contents as well as cooperation skills. The results of this study indicate that implementing the PBL model for the training of store managers can contribute to the vocational training programs for high school students.

Nursing Students' Experiences on Team-Based Learning (팀 기반 학습을 수강한 간호대학생의 경험)

  • Kim, Hyeonah
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.19 no.9
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    • pp.30-41
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    • 2018
  • This phenomenological study aims to explore Nursing Students' Experiences who have experienced team-based learning (TBL). The purpose of this study is to contribute to fostering professional nurses required in the clinical field by improving the learning outcomes by applying the TBL classes. The study participants were seven students of the nursing department who took TBL classes in adult nursing classes. The data were collected through participating observations and in-depth interviews, and analyzed using Colaizzi's phenomenological methods. As a result of the study, nine conceptual descriptions and five theme clusters were derived. The major theme clusters for the experiences of students were 'Dedication to best results', 'Self-led learning attitudes are formed', 'Becoming a communal knowledge creator', 'Active class time', and 'Meaningless peer evaluation'. Nine conceptual descriptions were 'Doing one's best to fulfill one's role', 'Preparing for the class with the pre-learning', 'Forming confidence through pre-learning', 'Solving problems through interaction with friends', 'Becoming a mentor to each other', 'Working together to resolve issues', 'Intimacy formed', 'A lively class', and 'Peer evaluation with familiarity'. This study contributes to the improvement of the learning outcomes of the nursing students by enabling learner-centered classes and self-led learning, thereby contributing to fostering the professional nursing manpower required in the clinical field.

Tool Breakage Detection in Face Milling Using a Self Organized Neural Network (자기구성 신경회로망을 이용한 면삭밀링에서의 공구파단검출)

  • 고태조;조동우
    • Transactions of the Korean Society of Mechanical Engineers
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    • v.18 no.8
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    • pp.1939-1951
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    • 1994
  • This study introduces a new tool breakage detecting technology comprised of an unsupervised neural network combined with adaptive time series autoregressive(AR) model where parameters are estimated recursively at each sampling instant using a parameter adaptation algorithm based on an RLS(Recursive Least Square). Experiment indicates that AR parameters are good features for tool breakage, therefore it can be detected by tracking the evolution of the AR parameters during milling process. an ART 2(Adaptive Resonance Theory 2) neural network is used for clustering of tool states using these parameters and the network is capable of self organizing without supervised learning. This system operates successfully under the wide range of cutting conditions without a priori knowledge of the process, with fast monitoring time.

An Optimal Clustering using Hybrid Self Organizing Map

  • Jun, Sung-Hae
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • v.6 no.1
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    • pp.10-14
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    • 2006
  • Many clustering methods have been studied. For the most part of these methods may be needed to determine the number of clusters. But, there are few methods for determining the number of population clusters objectively. It is difficult to determine the cluster size. In general, the number of clusters is decided by subjectively prior knowledge. Because the results of clustering depend on the number of clusters, it must be determined seriously. In this paper, we propose an efficient method for determining the number of clusters using hybrid' self organizing map and new criterion for evaluating the clustering result. In the experiment, we verify our model to compare other clustering methods using the data sets from UCI machine learning repository.