• 제목/요약/키워드: learning gap.

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응급외상 환자 시뮬레이션 적용 효과 (Implementation Effects of Emergency Trauma Patient Simulation)

  • 백미례
    • 한국응급구조학회지
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    • 제15권2호
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    • pp.43-54
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    • 2011
  • Purpose: The purpose of this study was to explore EMT-paramedic students' experience of simulation education and analyze the confidence before and after education, learning attitude and course evaluation. Method: Research survey was conducted on 38 EMT-paramedic students during November, 2011 and EMT-paramedic students' experience of simulation education was analyzed after applying head, spinal, and chest injury scenario. The confidence before and after education, learning attitude and course evaluation in gender were analyzed by Mann-Whitny U test and the difference of confidence before and after education was analyzed by Wilcoxon signed rank test and learning attitude & course evaluation were analyzed by evaluating frequency, percentage, mean, standard deviation by using SPSS WIN 17.0 program. Results: 1. Students experienced various advantages such as increasing interest and self-reflection on learning, critical thinking ability, and EMT-paramedic-role experience and recognition of importance of teamwork. Students also pointed out disadvantages such as gap between real situation and simulation, limit of time and equipments, and burden of demonstration. 2. The confidence between before and after education, learning attitude and course evaluation in gender were not significant different statistically. 3. Confidence mean score elevated from 5.53(before education) to 5.87(after education), but the difference in their confidence did not show significant difference statistically. 4. Total mean score in learning attitude after simulation education was 3.70 out of 5.00, which is considerably very high. 5. Total mean score in course evaluation was 3.89 with score of 3.83 in evaluation in learning environment and 3.99 in evaluation of debriefing. Conclusion: The finding of this study demonstrate that the simulation education can provide a safe and repetitive practice environment, improve problem-solving ability and critical thinking, and increase the confidence in prehospital emergency care; therefore, simulation may be the new effective EMT-paramedic education strategy.

핵심역량(4C) 증진을 위한 액티브러닝과 퍼실리테이션 융합 교육프로그램 연구 (Study on Active Learning & Facilitation Convergence Education Program for Enhancing Core Competency (4C))

  • 정유경
    • 스마트미디어저널
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    • 제8권1호
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    • pp.67-73
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    • 2019
  • 본 연구는 4차 산업혁명 시대 직업교육에 대응하기 위하여 핵심역량 중 직무능력을 향상 시킬 수 있는 액티브러닝과 퍼실리테이션(Active Learning&Facilitation) 융합 교육프로그램을 연구하였다. 연구방법으로는 '문제해결 능력'을 키워주는 Active Learning의 장점과 창의적 아이디어 발상을 위한 Facilitation의 장점을 융합하여 앱 디자인 교과목에 적용하고 학생들의 만족도 조사를 통해 교육의 효과성을 검증하였다. 모바일 환경에 익숙한 학생의 특성을 반영하여 앱 콘텐츠를 기획하고, 데이터 시각화를 위한 UI 디자인을 수행하여 S/W분야의 스킬을 강화할 수 있도록 하였다. 모든 수행과정은 팀 프로젝트(PBL)로 운영되었다. 연구결과 액티브러닝과 퍼실리테이션 융합 교육프로그램은 전문대학교육이 요구하는 foundation skills, competencies을 향상할 수 있었다. 더불어 산업현장과 대학 간 교육격차를 줄일 수 있을 것으로 기대한다.

문이과 통합형 개정 교육과정에 따른 이공계열 신입생의 고교 수학 및 과학 교과목 학습경험 분석: S 대학교를 중심으로 (Analysis of the Learning Experience of College Students According to the 2015 Revised National Curriculum)

  • 신동주;김진호
    • 공학교육연구
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    • 제25권1호
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    • pp.3-11
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    • 2022
  • The purpose of this study is to empirically analyze the learning experiences of high school mathematics and science subjects of new students in science and engineering, and to provide basic data and respond to strengthen basic knowledge of science and engineering students in the future. The subjects of the survey were 481 freshmen in science and engineering at S University. First, as a result of analyzing the learning experiences of freshmen, the geometric subjects were significantly lower, which is the result of students' sensitive responses to transitional changes in the curriculum and SAT system after revision. In science, general elective subjects were higher than career elective subjects, and there was a deviation between science subjects, which is a result of reflecting the diversity and hierarchy of science subjects. Next, as a result of analyzing the difference in learning experience after revision compared to before the revision of the curriculum, the learning experience of Mathematics II increased significantly and the geometry decreased significantly. Both Chemistry I and II increased significantly compared to before the revision, and Earth Science I decreased significantly. This can be seen as a result of strategic choices based on obtaining grades in the CSAT and disadvantages in college entrance exams. As a result of the study, students' sensitive reactions to changes in the high school education environment were confirmed, basic mathematics and science-related courses were opened to alleviate variations in the academic ability due to elective courses, and countermeasures tailored to each university's situation.

초등학교 4학년과 저학년 수학의 비교 연구 (A comparative research between 4th-grade and lower grades in elementary mathematics)

  • 김성준
    • 한국학교수학회논문집
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    • 제10권4호
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    • pp.415-435
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    • 2007
  • 학교교육에서 학교급간, 학년 간, 영역 간 이행은 본질적인 문제이다. 이와 함께 교육내용 간의 연계성은 발달과 교육의 문제에서 그 중심에 놓여 있다. 일반적으로 초등학교 수학에서 저학년과 고학년 사이의 간격은 초등수학과 중등수학의 간격만큼이나 그 간격이 큰 것으로 알려져 있다. 본 연구는 이러한 이행과 연계성이라는 문제의식에서부터 시작하여 초등학교 저학년과 고학년 수학 사이의 연계성을 염두에 둔 비교 연구에 해당된다. 이를 위해 초등학교에서 저학년과 고학년이 구분되는 지점인 4학년 수학을 중심으로 하여 두 가지 관점에서 저학년 수학과의 비교를 시도하였다. 첫 번째는 교사와 학생들을 대상으로 한 설문조사를 통해 3, 4학년 수학 교과서에서의 영역별 내용 비교를 실시함으로써 수학을 배우고 가르치는 입장에서 어려움의 정도를 검토하였다. 두 번째는 교실 수업을 비교하는 과정으로, 1, 4학년 수학 수업을 기록하고 '수업과정분석'을 통해 저학년과 고학년에서의 수학 수업의 차이를 비교하였다. 본 연구는 이러한 두 가지 형태의 비교 작업을 통해 이후 초등학교 저학년과 고학년 수학 사이의 연계성 검토를 위한 기초 자료를 제공하는데 그 목적을 두고 있다.

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음성신호를 이용한 감성인식에서의 패턴인식 방법 (The Pattern Recognition Methods for Emotion Recognition with Speech Signal)

  • 박창현;심귀보
    • 제어로봇시스템학회논문지
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    • 제12권3호
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    • pp.284-288
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    • 2006
  • In this paper, we apply several pattern recognition algorithms to emotion recognition system with speech signal and compare the results. Firstly, we need emotional speech databases. Also, speech features for emotion recognition is determined on the database analysis step. Secondly, recognition algorithms are applied to these speech features. The algorithms we try are artificial neural network, Bayesian learning, Principal Component Analysis, LBG algorithm. Thereafter, the performance gap of these methods is presented on the experiment result section. Truly, emotion recognition technique is not mature. That is, the emotion feature selection, relevant classification method selection, all these problems are disputable. So, we wish this paper to be a reference for the disputes.

음성신호를 이용한 감성인식에서의 패턴인식 방법 (The Pattern Recognition Methods for Emotion Recognition with Speech Signal)

  • 박창현;심귀보
    • 한국지능시스템학회:학술대회논문집
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    • 한국퍼지및지능시스템학회 2006년도 춘계학술대회 학술발표 논문집 제16권 제1호
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    • pp.347-350
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    • 2006
  • In this paper, we apply several pattern recognition algorithms to emotion recognition system with speech signal and compare the results. Firstly, we need emotional speech databases. Also, speech features for emotion recognition is determined on the database analysis step. Secondly, recognition algorithms are applied to these speech features. The algorithms we try are artificial neural network, Bayesian learning, Principal Component Analysis, LBG algorithm. Thereafter, the performance gap of these methods is presented on the experiment result section. Truly, emotion recognition technique is not mature. That is, the emotion feature selection, relevant classification method selection, all these problems are disputable. So, we wish this paper to be a reference for the disputes.

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Pattern Recognition Methods for Emotion Recognition with speech signal

  • Park Chang-Hyun;Sim Kwee-Bo
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • 제6권2호
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    • pp.150-154
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    • 2006
  • In this paper, we apply several pattern recognition algorithms to emotion recognition system with speech signal and compare the results. Firstly, we need emotional speech databases. Also, speech features for emotion recognition are determined on the database analysis step. Secondly, recognition algorithms are applied to these speech features. The algorithms we try are artificial neural network, Bayesian learning, Principal Component Analysis, LBG algorithm. Thereafter, the performance gap of these methods is presented on the experiment result section.

On-line 학습 신경회로망을 이용한 열간 압연하중 예측 (Prediction for Rolling Force in Hot-rolling Mill Using On-line learning Neural Network)

  • 손준식;이덕만;김일수;최승갑
    • 한국공작기계학회논문집
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    • 제14권1호
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    • pp.52-57
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    • 2005
  • In the foe of global competition, the requirements for the continuously increasing productivity, flexibility and quality(dimensional accuracy, mechanical properties and surface properties) have imposed a mai or change on steel manufacturing industries. Indeed, one of the keys to achieve this goal is the automation of the steel-making process using AI(Artificial Intelligence) techniques. The automation of hot rolling process requires the developments of several mathematical models for simulation and quantitative description of the industrial operations involved. In this paper, an on-line training neural network for both long-term teaming and short-term teaming was developed in order to improve the prediction of rolling force in hot rolling mill. This analysis shows that the predicted rolling force is very closed to the actual rolling force, and the thickness error of the strip is considerably reduced.

스마트 지원 수업 설계에서 초등 예비교사들이 보이는 스마트 도구에 대한 인식과 활용의 차이 (Differences between Pre-service Elementary Teachers' Perceptions and Designs on Smart Tools in Developing Smart-based Lesson Materials)

  • 강은희
    • 한국초등과학교육학회지:초등과학교육
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    • 제37권1호
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    • pp.66-79
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    • 2018
  • The purpose of this study is to explore how pre-service elementary teachers perceive and use smart learning environments. For this purpose, 23 pre-service elementary teachers who took theory and practice in a science education course were asked to develop lesson materials using smart tools and make a self-report questionnaire. These data were categorized in an instructional, exploratory, and interactive approach, depending on how they guided students to access knowledge and information. As a result of the study, pre-service teachers perceived the smart tools as the exploratory and interactive learning tools to be used for students to actively search for and interact with data and knowledge. But in developing lesson materials, they usually used the smart tools for resource sharing and communication in the instructional manner. In conclusion, the gap between their perception of smart tools and lesson materials, and the educational implications will be discussed.

필요조건, 충분조건 개념의 학습과 관련한 문제들 (Didactical Issues Related to Necessary Condition and Sufficient Condition)

  • 홍진곤;공정택
    • 한국수학사학회지
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    • 제28권4호
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    • pp.191-204
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    • 2015
  • The reason of the confusion of learners about the logic concepts such as implication, necessary condition and sufficient condition can be analyzed from the point of view of history of logic, discrepancy between ordinary language and formal logic, and reification which occurs in the process of cognition of discursive object and also indicates the necessity of a research. This study analysed the difficulties related to study and implication concept and attempted to the reflection of textbook and curriculum. Not that ordinary language makes the introduction of formal language easier, but that this study discussed the possibilities ordinary language intervenes the learning of formal language. This study additionally intended to understand learning difficulties of concrete subjects, abstract subjects and the gap between primary object and discursive object by understanding the process of sagging, encapsulating and reifying.