• Journal of the Korea Institute of Information and Communication Engineering
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• v.16 no.8
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• pp.1811-1816
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• 2012

Black marker cause unnatural problems between the existing various contents and marker. To solve this problem, we tested frequency of 3D objects according to the various colors and color placement. Based on this, infant's learning content system based NyARToolkit for the mobile-based augmented reality was implemented. By insert to color marker, We are solved the unnatural problems in the Implemented system. and infant can study seamlessly because concentration increases by the familiar character on the markers.

• Communications of Mathematical Education
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• v.20 no.3 s.27
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• pp.361-372
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• 2006

This study was extended as one of the properties of isosceles triangles to polygons(n-angles) by conjectures-proofs-reputations-reformations and developed teaching-learning materials which can be used in high-level classes for middle and high school students.

• 한국정보교육학회:학술대회논문집
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• 2008.01a
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• pp.115-120
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• 2008

오늘날 시대는 컴퓨터 기술과 정보통신기술의 발달로 유비쿼터스 시대와 맞물려 다양한 곳에서 정보통신기술이 활용되고 있으나 그와 더불어 많은 문제점들이 발생하고 있다. 이에 본 논문에서는 정보통신윤리교육의 필요성을 강조하고 그동안의 교육 현장에서 학생들에게 일방적으로 주입하고 전달하던 교수-학습 형식을 벗어나 학생들이 흥미를 갖고 접근할 수 있도록 정보통신윤리 관련 UCC를 학생들이 직접 제작하여 교수-학습에 활용할 수 있는 방안을 제안하였다. 이를 통해 학생들 스스로 능동적이고 자발적으로 학습에 임하여 정보화의 역기능에 적극적으로 대처할 수 있는 태도를 견지하고 올바른 정보통신윤리 의식의 실천의지를 다지며 보다 심화된 정보통신윤리 의식을 함양시킬 수 있을 것이다.

• The Journal of Korean Association of Computer Education
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• v.6 no.2
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• pp.121-135
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• 2003

This paper proposes a web-based adaptive tutoring system based on fuzzy set that provides learning materials and questions dynamically according to students' knowledge state, and gives advices for the learning after an evaluation. For this, we design a courseware knowledge structure systematically and then construct a fuzzy level set on the basis of it considering importance of learning targets, difficulty of learning materials and relation degree between learning targets and learning materials. Using the fuzzy level set, our system offers learning materials and questions to adapt to individual students. Moreover, a result of the test is evaluated with fuzzy linguistic variable. Appling the fuzzy concept to the tutoring system could naturally consider and deal with various and uncertain items of learning environment thus could offer more flexible and effective instruction-learning methods.

• Journal of The Korean Association For Science Education
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• v.24 no.2
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• pp.298-306
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• 2004

The purpose of this study was to find out the operational status for the in-depth and supplementary class of middle school described in the 7th national science curriculum. To do this 455 students of 8th grade and 71 science teachers are administered questionaries which were developed to ask about whether or not execute the in-depth and supplementary class, the frequency of the execution, the way of forming groups and the contents of teaching etc.. The operation of the in-depth and supplementary class at middle school were prevented by following factors such as too many class time of teachers, overpopulation in class, insufficiency teaching materials and so on. Therefore, to solve these problems, various approaches should be adapted such as effective teaching method, teacher training program, specialized classroom, independent teaching on the part of teacher and so on.

• Journal of KIISE
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• v.44 no.4
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• pp.399-410
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• 2017

We present a system that automatically annotates unverified Web sentences with information from credible sources. The system turns to neural theorem proving for an annotating task for cancer related Wikipedia data (1,486 propositions) with Korean National Cancer Center data (19,304 propositions). By switching the recursive module in a neural theorem prover to a word embedding module, we overcome the fundamental problem of tremendous learning time. Within the identical environment, the original neural theorem prover was estimated to spend 233.9 days of learning time. In contrast, the revised neural theorem prover took only 102.1 minutes of learning time. We demonstrated that a neural theorem prover, which encodes a proposition in a tensor, includes a classic theorem prover for exact match and enables end-to-end differentiable logic for analogous words.

• Journal of Korea Society of Industrial Information Systems
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• v.25 no.5
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• pp.23-29
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• 2020

The National Institute of Agricultural Sciences of the Rural Developement Administration (NAS, RDA) is conducting various studies on various crops, such as monitoring the cultivation environment and analyzing harvested seeds for high-throughput phenotyping. In this paper, we propose a deep learning-based rice seed segmentation method to analyze the seeds of various crops owned by the NAS. Using Mask-RCNN deep learning model, we perform the rice seed segmentation from manually taken images under specific environment (constant lighting, white background) for analyzing the seed characteristics. For this purpose, we perform the parameter tuning process of the Mask-RCNN model. By the proposed method, the results of the test on seed object detection showed that the accuracy was 82% for rice stem image and 97% for rice grain image, respectively. As a future study, we are planning to researches of more reliable seeds extraction from cluttered seed images by a deep learning-based approach and selection of high-throughput phenotype through precise data analysis such as length, width, and thickness from the detected seed objects.

• Journal of the Korean earth science society
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• v.28 no.3
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• pp.259-265
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• 2007

The purpose of this study was to examine the effects of the application time of differentiated instruction in terms of learners' science academic knowledge achievement and their attitudes toward science. The findings of the study were as follows: First, the experimental group was significantly higher than the control group (p<.05). Second, the academic knowledge achievement of high ability students of two subgroups was not different (p>.05), but the achievement of low ability students was higher in experimental group than in control group (p<.05). Third, the experimental group showed higher improvement in attitude toward science than the control group in three areas of the Test of Science Related Attitudes (TOSRA) (p<.05): 'Adaptation of Scientific Attitudes', 'Enjoyment of Science Lessons', and 'Career Interest in Science'. However, there was no significant difference between the experimental and control groups in the area of 'Attitude to Scientific Inquiry' and 'Leisure Interest in Science'.

• Journal of the Korea Society of Computer and Information
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• v.7 no.2
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• pp.59-67
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• 2002

Major Characteristic of the 7th National Curriculum in science is to provide deep and supplementary learning, depending on the level of each learner. In the level-oriented curriculum, coursewares are used to present teaching materials to various levels. In most coursewares, however, they provide their contents at a uniform level and hence it is hard to expect level-oriented learning. This paper presents learner's modeling for developing student's level-oriented dynamic tutoring system for science class , Instructional module of this system made by component unit is able to be reconstructed dynamically. Learning module is constructed using a hybrid model mixed of Overlay and Bug model. Testing module interprets diagnostic errors to be established by given differentiated weight in accordance with item's difficulty and discrimination. Through ITS student modeling, this system presents various problem solving methods reconstructed by learner's level differentiated.

• Journal of Korea Game Society
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• v.6 no.3
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• pp.33-42
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• 2006

This study is aimed to develop adventure-game style learning program for offering different levels curriculum in mathematics and figure areas in elementary schools. The 7th mathematics curriculum introduced different levels curriculum considering learners' ability, aptitude, requirement, interest so that it could improve learners' growth potential and educational efficiency. But in reality, it is quite difficult to increase educational efficiency by conducting individual learning classes according to students' ability due to the big differences among students' levels in addition to high population in each classroom. The purpose of this study is to offer different levels curriculum based on van Hiele theory and develop adventure-game style learning program to increase interests of the learners. This program can improve students' academic achievement by offering differentiated curriculums to learners who need advanced or supplementary learning materials. And it also enhances leaners' spatial-perceptual ability by offering various operating activities in figures learning.