• Title/Summary/Keyword: Learning Theory

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Knowledge Structure Analysis System for Critical Learning Pathway (결정적 학습 경로를 위한 지식 구조 분석 시스템)

  • Lee, Sanghoon;Moon, Seung-jin
    • Journal of Internet Computing and Services
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    • v.16 no.6
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    • pp.39-46
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    • 2015
  • Knowledge space theory is a theory that provides a guidelines for human learners' possible education decisions and has been used in various educational environment. However, traditional methodologies using the knowledge space theory have always depended on handwork system and it is necessary to learn programming language such as Visual Basic and R, causing time consuming situations. In order to overcome those issues on the environment of education we propose a new Knowledge Structure Analysis System that not just analyzes learners' knowledge structures automatically but to provide critical learning path for the learners based on knowledge space theory. Proposed system is implemented by using rApache generating critical learning path computing Chi-square value. This provides an automatic way of analyzing knowledge structure in learners' knowledge space and shows systematic reviews for the knowledge space.

The Design and Implementation of Multilevel Web Course are for Underrachivers 'Mutiplication Table

  • Kim, Nam-Hee;No, Bong-Nam
    • 한국데이터정보과학회:학술대회논문집
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    • 2006.11a
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    • pp.9-20
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    • 2006
  • Even though there are lots of learning theory and learning Instruments today, it is still difficult to teach the children individually taking their learning ability into consideration. In this case lower level children may be discouraged and cannot catch up the next course. The purpose of this paper is to design and develop webb-based courseware on arithmetics for the disabled children and apply the program to the class field. This program is very useful for the left-behind children because it enables the repetitive and visible learning.

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A Classroom Design Plan based on the Biophilic-Design (바이오필릭 디자인 기반 교실 디자인 설계)

  • Choi, Joo-Young;Park, Sung-Jun
    • Journal of the Korean Institute of Educational Facilities
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    • v.26 no.3
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    • pp.15-23
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    • 2019
  • This study aims to suggest a Biophilic classroom design of high school to obtain attention restoration for students. The learning space for youth in the modern society is composed of dry artificial structures. This space is considered to be a space that can not relieve stress caused by learning. "The Attention Restoration Theory" is divided into "Directed Attention" of humans, which is the cause of fatigue and stress, and "Involuntary Attention" as a solution to it. "Involuntary Attention" takes place in a rest state and helps the brain recover when exposed to nature. And the core of "Biophilic-Design Theory" is that humans can recover physical and mental conditions when exposed to nature. The purpose of this study is to apply "The Biophilic-Design Theory" that emphasizes the importance of exposure to nature to the educational space and plan the space where the 'Attention Restoration' can be achieved. The research method is as follows. First, we review previous studies related to "The Biophilic-Design Theory" and "The Attention Restoration Theory". Second, we analyze the application examples of "The Biophilic-Design Theory" and "The Attention Restoration Theory" in domestic and foreign educational spaces. Third, the concept of educational space is set up based on the elements derived from previous studies. Finally, we propose the planning direction of classroom design based on Biophilic-Design. The following conclusions were drawn. First, The creation of the education space to restore the learner's attention requires a visual space plan that utilizes natural elements such as natural light, artificial light, plants, and natural materials that can directly experience nature. Second, the direction in which students in the classroom can be "The Attention Restoration Theory" should consider the use of indirect natural elements that bring the surrounding natural landscape into the interior. This study will be used as the baseline data for the spatial design and planning of education facilities based on Biophilic-Design.

The Effect of 4M Learning Cycle Teaching Model based on the Integrated Mental Model Theory: Focusing on Learning Circular Motion of High School Students (통합적 정신모형 이론에 기반한 4M 순환학습 수업모형의 효과: 고등학생의 원운동 관련 기초 개념과 정신모형의 발달 측면에서)

  • Park, Ji-Yeon;Lee, Gyoung-Ho
    • Journal of The Korean Association For Science Education
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    • v.28 no.4
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    • pp.302-315
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    • 2008
  • Circular motion has been one of the most difficult concepts for students to understand. To facilitate for students to form scientific mental models about circular motion, this study developed 4M learning cycle teaching model based on the integrated mental model theory and strategies. For this study, fifty-three eleventh graders at a technical high school in Inchon were taught for 3 class hours. We conducted tests of basic physics concept and mental model of circular motion before, after, and two months after instruction. In results, we found that there were statistically significant improvement in the test of basic physics concept and mental model related with circular motion after instruction. Especially, this teaching model affected learning effectiveness of Correctness and Coherence of mental model.

The Study of Applications of Knowledge Space and Fuzzy Theory from the Perspective of Evaluation (평가부분에서 지식공간과 퍼지이론의 활용 방안에 관한 연구)

  • 박달원;장이채;김태균;정인철
    • Journal of the Korean School Mathematics Society
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    • v.6 no.1
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    • pp.27-43
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    • 2003
  • This paper introduces some theories that can be effectively applied for the development of teaching and learning mathematics using fuzzy theory developed by Zadeh who defined fuzzy set and knowledge space by Doignon and Falmagne. Especially, we expect that two theories mentioned above are expected to solve the situation that could not be taken care of the present evaluation method.

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Development of a Tool to Support Learning Tasks Analysis Using the Knowledge Space Theory (지식공간론을 활용한 학습과제분석 지원도구의 개발)

  • Jo, Hyeong-Cheol;Lim, Jin-Sook;Kim, Seong-Sik
    • The Journal of Korean Association of Computer Education
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    • v.7 no.1
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    • pp.129-139
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    • 2004
  • This society is rapidly changing into an information-oriented society. As such, revolutionary and efficient teaching methods are needed in school education rather than traditional methods. To be an efficient teaching lesson, teaching plans based on learners' prior knowledge are needed. The knowledge-space theory provides the methods of efficient analysis about learners' status of knowledge. This study designs and implements the support-learning tool based on the knowledge-space theory to increase the efficiency in classroom lessons through the development of various methods of analysis of learners' knowledge status.

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An Effective Method for Mathematics Teaching and Learning in Characterization High School (특성화고교에서의 효과적인 수학교육 방안)

  • Lee, Seung Hwa;Kim, Dong Hwa
    • East Asian mathematical journal
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    • v.31 no.4
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    • pp.569-585
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    • 2015
  • Many mathematics teachers in characterization high schools have been troubled to teach students because most of the students have weak interests in mathematics and they are also lack of preliminary mathematical knowledges. Currently many of mathematics teachers in such schools teach students using worksheets owing to the situation that proper textbooks for the students are not available. In this study, we referred to Chevallard's didactic transposition theory based on Brousseau's theory of didactical situations for mathematical teaching and learning. Our lessons utilizing worksheets necessarily entail encouragement of students' self-directed activities, active interactions, and checking the degree of accomplishment of the goal for each class. Through this study, we recognized that the elaborate worksheets considering students' level, follow-up auxiliary materials that help students learn new mathematical notions through simple repetition if necessary, continuous interactions in class, and students' mathematical activities in realistic situations were all very important factors for effective mathematical teaching and learning.

A Design and Implementation of Diagnosis System of Learning Misconception by Using Fuzzy Theory (퍼지 이론을 이용한 학습오인 진단 시스템 설계 및 구현)

  • Lee, Hyeon-No;Ra, Sang-Suk;Choi, Yeong-Sik
    • Journal of Digital Convergence
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    • v.4 no.2
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    • pp.143-151
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    • 2006
  • The purpose of this paper is to make a design and implementation of a diagnosis system of learning misconception of students who learn 'be' verb in the English language by using fuzzy theory. In this system, a fuzzy cognitive map exposes the fact that students' perception and misunderstanding about 'the English' language have an intertwined relationship, and diagnoses causes of misconceptions of students by using fuzzy memory associative memory. It suggests that since most existing systems of rule based expert system have had several limitations, this system will be applied to diagnose learners' misconception of learning in varieties of education areas.

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A Design and Implementation of Diagnosis System of Learning Misconception by Using Fuzzy Theory (퍼지 이론을 이용한 영어학습 진단 시스템 설계 및 구현)

  • Lee, Hyeon-No;Ra, Sang-Suk;Choe, Yeong-Sik
    • 한국디지털정책학회:학술대회논문집
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    • 2006.06a
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    • pp.451-459
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    • 2006
  • The purpose of this paper is to make a design and implementation of a diagnosis system of learning misconception of students who learn 'be' verb in the English language by using fuzzy theory. In this system, a fuzzy cognitive map exposes the fact that students' perception and misunderstanding about 'the English' language have an intertwined relationship, and diagnoses causes of misconceptions of students by using fuzzy memory associative memory. It suggests that since most existing systems of rule based expert system have had several limitations, this system will be applied to diagnose learners' misconception of learning in varieties of education areas.

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Rough Set-based Incremental Inductive Learning Algorithm Theory and Applications

  • Bang, Won-Chul;Z. Zenn Bien
    • Journal of the Korean Institute of Intelligent Systems
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    • v.11 no.7
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    • pp.666-674
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    • 2001
  • Classical methods to find a minimal set of rules based on the rough set theory are known to be ineffective in dealing with new instances added to the universe. This paper introduces an inductive learning algorithm for incrementally retrieving a minimal set of rules from a given decision table. Then, the algorithm is validated via simulations with two sets of data, in comparison with a classical non-incremental algorithm. The simulation results show that the proposed algorithm is effective in dealing with new instances, especially in practical use.

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