• Title/Summary/Keyword: 수준별학습

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An Analysis of Learning Effect by Computer Programming Areas based on Leveled Intense and Supplementary Learning (심화.보충형 수준별 학습에 의한 컴퓨터 프로그래밍 영역별 학습 효과 분석)

  • Ahn, You-Jung;Kim, Kyung-Ah
    • Journal of the Korea Society of Computer and Information
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    • v.15 no.9
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    • pp.137-144
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    • 2010
  • We've run leveled intense and supplementary study groups connected with JAVA regular classes for more effective learning of computer programming. We performed the test for evaluating learning understanding degrees between before and after study to analyze learning effect for three leveled study groups and a non study group, and we also analyzed the differences of learning understanding degrees among 4 learner groups by computer programming areas. As a result, we can reach the result what programming areas are effective to be operated by intense and supplementary study groups. Those areas are the area to improve the ability of programming applying concepts through in-depth understanding of concepts, and the area of programming through mixed knowledges related each other. The study group for low-leveled learners has most improved of four groups. Low-leveled group was behind the other study groups on programming application ability, but the group was more excellent than non study group in most programming areas.

The effect of academic achievement and cooperative learning attitudes via differentiated cooperative learning in a class (학급 내 수준별 협동학습이 수학 학업성취도 및 협동학습 태도에 미치는 영향)

  • An, Jong Su
    • Journal of the Korean School Mathematics Society
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    • v.17 no.4
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    • pp.465-492
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    • 2014
  • In this study, through the analysis of the mathematics curriculum and textbooks, we produce the cooperative learning activity sheets which was appropriate instructional content for various levels. And, by using them appropriately at the levels of student learning on their own interest, we enhance academic achievement and cooperative learning attitudes. Specific for details for this study are as follows: First, through the applying a variety of the differentiated cooperative learning activity sheets and developing instruction learning, we improve the academic achievement. Second, through the making and utilizing the differentiated cooperative learning activity sheets and the interest and attitudes in mathematics, we improve the cooperative learning attitude. Third, through the levels of the subgroup cooperative learning, we improve the math learning abilities through a learner-centered. Further the purpose of this study is to bring up complementary cooperative spirit among colleagues.

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Effects on academic achievement and mathematics learning attitudes in a class using level TAI cooperative learning (학급 내 수준별 TAI 협동학습이 학습능력 및 수학 학습태도에 미치는 효과 분석)

  • An, Jong Su
    • Communications of Mathematical Education
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    • v.28 no.3
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    • pp.395-422
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    • 2014
  • In this paper, we obtain the step inteaching high school leve-based class utilizing cooperative learning lessons using level-type tutoring to improve academic achievement and mathematics attitudes. The details are as follows. First, we develop the teaching and learning model for the level-type instructional development and for the application to project work. Second, we seek to height academic achievement by applying the level-type work sheets in conjunction with cooperative learning. For this problem, we will focus on the following issues. First, how will you using level-type tutoring level TAI cooperative learning in order to improve academic achievement and develop the learning ability in mathematics? Second, how can you step utilizing TAI instructional level of cooperative learning in mathematics classes to improve mathematics learning attitudes? Third, how will you some reaction step work sheets utilizing level TAI cooperative learning of students for mathematics. Results of this study are as follows. First, in the experimental group compared to the comparison group was improved academic achievement. Second, in the experimental group compared to the comparison group learning attitudes could help. Third, the level of cooperative learning instructional model utilizing the TAI in the experimental group compared to the comparison group represents a significant response was seen.

Comparative study on learning models for level-based curriculum - Implementation of Visual Basic repeat statement - (수준별 교육과정을 위한 학습 모형의 비교 - Visual Basic 반복문을 중심으로 -)

  • Han, Il-Hwan;Ahn, Mi-Lee;Cha, Jae-Hyck
    • The Journal of Korean Association of Computer Education
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    • v.4 no.1
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    • pp.119-126
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    • 2001
  • In this paper, a highly effective learning model that can be applied to the 7th level-based curriculum, which will begin in high schools in the year 2002, will be proposed. Two learning models that have different perspectives on dividing the students into level groups(diagnostic evaluation model and formative evaluation model) were introduced, and teaching materials for each model were developed. After applying the teaching materials to actual classes, the achievement rate of the students was analyzed. According to the results of this research, the achievement rate of students is affected by the point of time at which they are divided into level groups, and formative evaluation proved to be the superior learning model dividing students into level groups.

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Group Learning System supporting a Customized Education (맞춤형 학습이 가능한 단체 학습 시스템 구현 방안)

  • Ahn, Eun-young
    • Proceedings of the Korea Contents Association Conference
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    • 2015.05a
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    • pp.423-424
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    • 2015
  • 본 논문은 학습 수준에 따라 개인별 또는 그룹별로 학습이 가능하도록 지원하는 단체 학습 시스템을 제안한다. 제안하는 시스템은 교수자가 학습능력과 수준의 차이에 따라 학습자를 수준별로 그룹을 임의로 설정하여 설정된 개별 학습자 혹은 학습자 그룹별로 각기 다른 학습 콘텐츠를 제공하도록 함으로써 학생들이 같은 공간, 간은 시간대에 있더라도 개인별 맞춤 학습을 진행하는 것이 가능하다. 개별 학습자 또는 학습자 그룹별로 학습을 독립적으로 진행할 수 있도록 제어함으로써 모든 학습자는 개인화된 학습 시스템을 각기 사용하는 것과 같은 효과를 누리게 된다.

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A Study on the Design and Implementation of Learner Estimation System for Leveled Learning (수준별 학습을 위한 학습자 평가시스템의 설계와 구현)

  • 박용출;피수영;정환묵
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 1998.10a
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    • pp.492-497
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    • 1998
  • 본 논문에서는 기존의 교사 주도적이고 획일화된 주입식 교육 방식의 문제점을 해결하기 위한 수준별 학습평가시스템을 제안한다. 수준별 학습을 위한 교육평가의 문항분석에 퍼지이론을 적용하여 평가문항을 수준별로 분류하고 학습자의 수준에 따라 문제를 선정하여 평가할 수 있다. 따라서 학습자의 개인차를 정확하게 파악하고 개별 학습지도를 할 수 있으므로 학습자의 능력을 향상 시킬 수 있다.

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In-Depth & Supplementary Differentiated Curriculum for Social Studies based on Cooperative Learning (협동학습에 기반한 사회과를 위한 심화·보충형 수준별 교육)

  • Chae, Jung-Bo;Kang, Oh-Han;Song, Hee-Heon
    • The Journal of Korean Association of Computer Education
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    • v.8 no.6
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    • pp.45-53
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    • 2005
  • In this paper, we propose an improved method of differentiated curriculum in social studies class that can be immediately used in the class. There are two major reasons that differentiated curriculum has not been applied to actual educational programs. One reason is the inefficient progress of differentiated curriculum derived from students' self-study based on individual projects and teacher's excessive investment of time in the development and management of individual researches. The other attribute is the difficulty in distinguishing students' academic level due to the lake of distinct criteria, because students are classified into merely two groups, in-depth group and supplementary class. To cope with these problems, we adopted a cooperative learning to enhance the educational effect of students of the similar level. Experimental results validate that the proposed method is effective in the course of social studies.

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Level-Learning System Using Keller's PSI in U-Learning Environments : Focused on Underachiever (Keller의 PSI를 활용한 u-러닝 환경의 수준별 학습 시스템 : 학습 부진아를 중심으로)

  • Kim, Yeon-Jung;Jun, Woo-Chun
    • 한국정보교육학회:학술대회논문집
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    • 2008.01a
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    • pp.263-268
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    • 2008
  • 학교의 학습 과정에 있어서 학습자 간의 학습 능력의 차이는 존재하며 이를 해결하기 위해 교육과정에서는 개별 학습과 수준별 학습을 권장한다. 유무선 인터넷을 통한 수준별 학습은 최근에 많은 연구가 되고 있는 u-러닝(Ubiquitous Learning) 환경에도 부합하며 학습자 개개인이 자신의 속도와 수준에 맞게 자기주도적으로 학습을 하기에 알맞은 방법이라 할 수 있다. 이에 본 연구에서는 학습자가 시간과 공간에 구애받지 않고 자율적으로 수준에 맞게 학습할 수 있는 수준별 학습 시스템을 설계하였다. 특히 시스템에 체계성을 더하기 위해 개별화 학습 체제 중에서 과거 많은 연구를 통해 그 효과성이 입증된 Keller의 PSI(Personal System of Instruction) 이론을 활용하여 시스템의 각 과정을 설계하였다. 본 시스템의 장점은 다음과 같다. 첫째, 학습자가 원하는 시간과 공간에서 자신의 속도에 맞게 학습할 수 있으므로 자기주도적인 학습 능력을 기를 수 있다. 둘째, 시스템 구성상 평가를 통해 일정한 기준에 미달하면 목표에 도달할 때까지 계속 학습하고 도전해야 하므로 궁극적으로 완전학습에 도달할 수 있다. 셋째, 제한된 교실 상황에서 벗어나 온라인에서의 학습 지원이 가능하므로 학습자의 개인차에 따른 수준별 학습을 관리하고 책임져야 하는 교사의 부담을 덜어준다.

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Design and Implementation of a Web Based Teaching-Learning System for Group-Level Education (수준별 교육을 위한 웹기반 교수-학습 시스템의 설계 및 구현)

  • 김명신;김희숙;정성태
    • Proceedings of the Korean Information Science Society Conference
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    • 2000.10b
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    • pp.565-567
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    • 2000
  • 최근에 들어 교육현장에서 수준별 교육의 중요성이 대두되고 있다. 그러나 적은 수의 교사로 많은 수의 학습자를 수준별로 교육하는 것은 쉽지 않은 일이다. 조별 이동이나 급간 이동으로 수준을 나누어 교육하고 있으나 변화하는 학습자의 정확한 수준 측정 및 이동이 어렵다. 또한 CAI(Computer Aided Instruction) 프로그램이 많이 보급되었지만 수업 외 시간에 학습자 스스로 반복 훈련을 통한 학습을 강조하므로 교실 수업에 적용하기는 어렵다. 따라서 본 논문에서는 이러한 문제점을 해결하기 위하여 수업시간 교사의 지도하에 웹을 기반으로한 교수-학습을 통해 각 학생들의 수준을 평가한 후 수준에 맞는 학습과 보충 및 심화학습이 이루어질 수 있는 웹기반 수준별 교수-학습 시스템을 설계하고 구현하였다.

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The Recommendation System based on Staged Clustering for Leveled Programming Education (수준별 프로그래밍 교육을 위한 단계별 클러스터링 기반 추천시스템)

  • Kim, Kyung-Ah;Moon, Nam-Mee
    • Journal of the Korea Society of Computer and Information
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    • v.15 no.8
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    • pp.51-58
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    • 2010
  • Programming education needs learning which is adjusted individual learners' level of their learning abilities. Recommendation system is one way of implementing personalized service. In this research, we propose recommendation method which learning items are recommended for individual learners' learning in web-based programming education environment by. Our proposed system for leveled programming education provides appropriate programming problems for a certain learner in his learning level and learning scope employing collaborative filtering method using learners' profile of their level and correlation profile between learning topics. As a result, it resolves a problem that providing appropriate programming problems in learner's level, and we get a result that improving leaner's programming ability. Furthermore, when we compared our proposed method and original collaborative filtering method, our proposed method provides the ways to solve the scalability which is one of the limitations in recommendation systems by improving recommendation performance and reducing analysis time.