• Title/Summary/Keyword: class analysis

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Exploration of Critical Reflection through Home Economics Pre-service Teacher's Instruction Experience (가정과예비교사의 수업경험을 통한 비판적 반성에 관한 탐구)

  • Yang, Ji Sun
    • Human Ecology Research
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    • v.56 no.3
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    • pp.301-315
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    • 2018
  • This study explores the critical reflection process experienced by home economics preservice teachers during practicum. Data were collected in a critical analysis of class, practicum review, and journals written by sixteen preservice teachers. Text material were composed of 188 transcripts on A4 paper and 36 page of mini-notes. The collected data were analyzed by a thematic coding method in qualitative research and proceeded in the order of three steps of transference, coding, and subject discovery. The emerging themes were: 1) Observing class 2) Practicing class 3) Growth of class practice 4) Reflecting class. First, the observing class was an exploration process through the viewing of daily classes that involved the process of recognizing the classroom situation and various classroom contexts. Second, the practicing class was to strengthen the consideration of the class to form a relationship that could lead to learning in educational situations. Third, the growth of class practice was intended to recognize the orientation of the subject matter with pedagogical content knowledge. Four, the reflecting class was the process of experiencing practice with a continuous understanding of the class, class reflection, and changing the perspective from the current status. There is a part where critical reflection is difficult to be promoted deeply during 4 weeks; however, there was a possibility of a reflection practice that could promote achievement through the experience of a practicing class.

A Case Study of Operating the Computer Programming Subject based on the Flipped Learning Model

  • Kim, Young-Sang
    • Journal of the Korea Society of Computer and Information
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    • v.21 no.7
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    • pp.93-100
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    • 2016
  • This paper shows what kind of influence the learning motivation factors have on the effectiveness of Flipped Learning Model through the case of operating a JAVA programming subject. The Flipped Learning Approach consisting of Before Class, Before or At Start of Class, and In Class provides the students with learning motivation as well as satisfies Keller's ARCS(Attention, Relevance, Confidence, Satisfaction) to keep them studying steadily. This research conducts the operation of Flipped Learning and gets Exploratory Factor Analysis and Reliability Analysis from the result of the course experience questionnaire at the end of the class. Given this survey result, Flipped Learning approach improves the learners' satisfaction in class and the effectiveness in the fields of understanding learning context more than does the previous lecture-based learning approach by pacing learning procedure and conducting self-directed learning.

A Study on the Effectiveness of Smart Education Based on Learning Ability

  • Song, JeongBeom
    • Journal of the Korea Society of Computer and Information
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    • v.21 no.9
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    • pp.165-176
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    • 2016
  • This study developed the learning ability-based smart education program. The effectiveness of the developed materials was investigated using the quantitative-qualitative mixed method, and the process and results of the investigation are as follows. The quantitative investigation was conducted using the non-equivalent pretest-posttest design, in which the smart education method was applied to the experimental group, while the conventional education method was applied to the control group to analyze students' creative problem-solving potential, task concentration, and the variables required for the learning activity. The results showed significantly higher performance in the experimental group over the control group. Regarding data collection in the qualitative investigation, an analysis of the class from the instructor and class consultation logs from the class analyst were collected; the comments on the experience of each class period were collected from students. The results of the analysis of the data suggest that the perception of smart education improved for the instructor, class analyst, and learners as the course progressed.

Analysis of 'Better Class' Characteristics and Patterns from College Lecture Evaluation by Longitudinal Big Data

  • Nam, Min-Woo;Cho, Eun-Soon
    • International Journal of Contents
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    • v.15 no.3
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    • pp.7-12
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    • 2019
  • The purpose of this study was to analyze characteristics and patterns of 'better class' by using the longitudinal text mining big data analysis technique from subjective lecture evaluation comments. First, this study classified upper 30% classes to deduce certain characteristics and patterns from every five-year subjective text data for 10 years. A total of 47,177courses (100%) from spring semester 2005 to fall semester 2014 were analyzed from a university at a metropolitan city in the mid area of South Korea. This study extracted meaningful words such as good, course, professor, appreciation, lecture, interesting, useful, know, easy, improvement, progress, teaching material, passion, and concern from the order of frequency 2005-2009. The other set of words were class, appreciation, professor, good, course, interesting, understanding, useful, help, student, effort, thinking, not difficult, explanation, lecture, hard, pleasant, easy, study, examination, like, various, fun, and knowledge 2010-2014. This study suggests that the characteristics and patterns of 'better class' at college, should be analyzed according to different academic code such as liberal arts, fine arts, social science, engineering, math and science, and etc.

The Relationship between Sport Confidence, Exercise Passion and Re-Participation Intention of Collegiate Students Participating in the Snow Ski-Class (교양스키수업에 참가하는 대학생들의 스포츠자신감과 운동열정 및 재 참여의도의 관계)

  • Chang, Ik-Young;Ahn, Chan-Woo
    • Journal of Digital Convergence
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    • v.14 no.5
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    • pp.473-483
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    • 2016
  • This study examines the relationship between sport confidence, exercise passion and re-participation intention of collegiate students participating in snow-ski class. The subjects for this study were 416 collegiate students who signed up for snow-ski class as a university curriculum. The reliability and validity test of the questionnaire were conducted by using SPSS & AMOS Window 18.0 program; the results of descriptive analysis, factor analysis, correlation analysis, structural equation model are as follows; First, sport confidence of collegiate students in ski-class affects their exercise passion. Second, sport confidence of collegiate students in ski-class has influence on their re-participation intention. Third, collegiate students' exercise passion in ski-class affects their re-participation intention. Lastly there is a causal relationship between sport confidence, exercise passion and re-participation intention of collegiate students in the snow-ski class.

Analysis of Types and Characteristics of Self-Directed Learning of Learners in Online Software Education (온라인 소프트웨어 교육 학습자들의 자기주도학습 유형 분류 및 특징 분석)

  • Sung, Eunmo;Chae, Yoojung;Lee, Sunghye
    • The Journal of Korean Association of Computer Education
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    • v.22 no.1
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    • pp.31-46
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    • 2019
  • The purpose of this study is to analyze the self-directed learning types of software education learners and to characterize them according to each type. To do this, 429 middle school students participating in online software education at K university were surveyed and a latent class analysis to analyze self-directed learning types was conducted. As a result, the self-directed learning types of the software education learners were classified into 'highest level of self-directed learning type (class 1)', 'self learning style recognition type (class 2)', 'self learning style preference type (class 3)', and 'lack of self-directed learning type(class 4)'. Also, the level of software learning achievement according to self-directed learning type of software education learners was found to be the highest at 'highest level of self-directed learning type (class 1)' and lowest at 'self learning style preference type (class 3)'. Based on these results, we suggested the strategic implications for software education.

Performance Experiment of H-120 Class Fire Damper for Offshore (해양플랜트용 H-120 등급 방화 댐퍼의 성능 실험)

  • Park, Chang-Soo
    • Journal of the Korean Society of Industry Convergence
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    • v.20 no.5
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    • pp.425-430
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    • 2017
  • This study propose CAE analysis of fire damper and design of the damper control system. Through the design of the damper system for ANSYS-CFX heat transfer. As a result of the analysis, continuance equation of the damper control. Climate system. Finaily, We have obtained a fire damper solution by using orthogonal array. The fire damper of the set of fixture and alveolus are made by using a CAE software. Also, the optimum design offshore structures. The new H-120 class fire damper was designed. In the near future, fire resistance test was carried out to obtain class H-120 thermal insulation of fire dampers according to a hydrocarbon fire conditions. The test results showed that the insulation of the damper blade was an important factor in the fireproof performance of fire dampers concerning the coaming length minimum 500mm on the unexposed side as specified test standard.

Nonlinear Structural Analysis of E/R Longitudinal Frame of Ice Class Vessel (ICE CLASS가 적용되는 선박의 E/R longitudinal frame 비선형 구조 해석)

  • Cho, Sung-Am;Leem, Hyo-Kwan;Kim, Ho-Kyeong
    • Special Issue of the Society of Naval Architects of Korea
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    • 2006.09a
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    • pp.40-45
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    • 2006
  • For ships of ice class, finish Maritime Administration(FMA) requires brackets on intersections between longitudinal frames and the web frames within the ice-strengthened area. The main object of this paper is to verify ultimate load carrying capacity of longitudinal frame without brackets of engine room region of 74,100 DWT Product Oil Tanker. Comparative approach between proposed structures from builder (the proposed structure) and structures satisfying the Finnish-Swedish ice class rules (the rule structure) is used for the analysis.

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Fault characteristic analysis of a modularized HTS field coil-based 12 MW class SCSG (모듈화된 계자코일을 가지는 12 MW급 초전도 발전기의 고장 특성 분석)

  • Go, Byeong-Soo;Sung, Hae-Jin;Park, Minwon;Yu, In-Keun
    • Proceedings of the KIEE Conference
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    • 2015.07a
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    • pp.1108-1109
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    • 2015
  • In general, when a high-temperature superconducting (HTS) field coil breaks down, the overall field coils of a superconducting synchronous generator (SCSG) are also stopped working, because of the HTS field coils are connected in series. Therefore, the HTS field coils have to be modularized. The modularized HTS field coil is operated individually. Therefore, even if the HTS field coils are broken-down, the generator still operates under the fault conditions. But the output power and torque of the generator will be affected. This paper deals with the fault characteristics analysis of a 12 MW class SCSG with the modularized HTS field coils when the coils were broken-down. The steady-state and transient state characteristics of the modularized 12 MW class SCSG were analyzed and compared. The fault characteristics analysis results of the 12 MW class superconducting generator for the wind turbines were discussed in detail.

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Frequency Characteristics Variation of a Class I Flextensional Transducer (Class I Flextensional 변환기의 주파수 특성 변화)

  • Kang, Kook-Jin;Paik, Jong-Hoo;Lee, Young-Jin
    • Journal of the Korean Institute of Electrical and Electronic Material Engineers
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    • v.22 no.2
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    • pp.142-150
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    • 2009
  • We constructed a Class I flextensional transducer, and analyzed the variation of the resonance frequency of the transducer in relation to its structural and material variables. We used the FEM for the analysis. Total length of the transducer, thickness and material properties of the shell have large effects on the resonance frequency. While outer radius of the ceramic stack and material properties of the ceramic stack have no effect on the resonance frequency. In addition, the validation of the FE model was verified by manufacturing and comparison of the impedance analysis. Results of the present work can be utilized to design a Class I flextensional transducers of various resonance frequency.