• Title/Summary/Keyword: learning material

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The Effects of Generative Concept Map on Science Learning Achievement and Cognitive Load

  • OH, Suna;KIM, Yeonsoon
    • Educational Technology International
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    • v.17 no.2
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    • pp.253-271
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    • 2016
  • This study investigated the effect of generative concept maps according to learning achievements and cognitive load. A total of 78 students in the first grade of middle school participated in this study. Before the experimental treatment was implemented, students had to fill out a questionnaire assessing prior knowledge. The study was designed where all the students were presented the same learning contents regarding photosynthesis; however, the two experimental groups were provided with different concept map methods: a learner-generative concept map (GCM) and an instructor-provided concept map (PCM). GCM students were asked to make a concept map by themselves in small groups while they are reading material. PCM students were instructed to study in small groups in order to read the material; however, they were provided a concept map developed by their teacher. The control group (CG) had the teacher present the learning contents in traditional lecture format with no accompanying concept map. The results show that there were significant differences in the achievements among the groups. CG showed higher achievement than both the experimental groups. There was also a significant difference in cognitive load. Although the GCM group did not obtain higher achievement than the other groups, the GCM group showed higher mental effort and lower physical fatigue than the other groups. The GCM group might have invested more effort to find and connect ideas when drawing their concept map with peers which is unlike the conditions for the PCM group and CG. In conclusion, we should consider applying GCM in teaching and learning design in order to increase learning achievement and decrease extraneous cognitive load.

Study on the Pad Wear Profile Based on the Conditioner Swing Using Deep Learning for CMP Pad Conditioning (CMP 패드 컨디셔닝에서 딥러닝을 활용한 컨디셔너 스윙에 따른 패드 마모 프로파일에 관한 연구)

  • Byeonghun Park;Haeseong Hwang;Hyunseop Lee
    • Tribology and Lubricants
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    • v.40 no.2
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    • pp.67-70
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    • 2024
  • Chemical mechanical planarization (CMP) is an essential process for ensuring high integration when manufacturing semiconductor devices. CMP mainly requires the use of polyurethane-based polishing pads as an ultraprecise process to achieve mechanical material removal and the required chemical reactions. A diamond disk performs pad conditioning to remove processing residues on the pad surface and maintain sufficient surface roughness during CMP. However, the diamond grits attached to the disk cause uneven wear of the pad, leading to the poor uniformity of material removal during CMP. This study investigates the pad wear rate profile according to the swing motion of the conditioner during swing-arm-type CMP conditioning using deep learning. During conditioning, the motion of the swing arm is independently controlled in eight zones of the same pad radius. The experiment includes six swingmotion conditions to obtain actual data on the pad wear rate profile, and deep learning learns the pad wear rate profile obtained in the experiment. The absolute average error rate between the experimental values and learning results is 0.01%. This finding confirms that the experimental results can be well represented by learning. Pad wear rate profile prediction using the learning results reveals good agreement between the predicted and experimental values.

An Application of Web-Based Learning Focused on Environment Education of Elementary School Science (초등학교 과학과 환경교육을 위한 웹기반 학습의 적용)

  • 송판섭;남철우;김정길;김석중;한광래;최도성;문병찬;조명철
    • Journal of Korean Elementary Science Education
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    • v.21 no.2
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    • pp.143-157
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    • 2002
  • The aims of this study are to develop web-based learning materials for science and environmental education of elementary school. The effect of environmental education was divided into eight to measure: the awareness of using web as environmental material, the ability to use web as environmental material. the awareness of environmental problems, the satisfaction for environmental education using web, the awareness of preserving local environment, self-leading ability to learn environment, the effect of using environment homepage, and the internalization of environmental awareness. This study obtained the following results; First, as a result of post-test, the average of the test group of web-based learning was 1.29 points higher than the control group having traditional learning in the awareness of using web as environmental material, showing a statistically significant difference. Second, as a result of post-test, the average of the test group of web-based learning was 2.80 points higher than the control group in the ability to use web as environmental material, showing a statistically significant difference. Third, as a result of post-test, the average of the test group of web-based learning was 1.10 points higher than the control group in the awareness of environmental problems, showing a statistically significant difference. Fourth, as a result of post-test, the average of the test group of web-based teaming was 0.89 points higher than the control group in the satisfaction for environmental education using web, showing a statistically significant difference. Fifth, as a result of post-test, the average of the test group of web-based learning was 1.70 points higher than the control group in the self-leading ability to learn environment, showing a statistically significant difference. Sixth, as a result of post-test, the average of the test group of web-based learning was 1.21 points higher than the control group in the effect of using environment homepage, showing a statistically significant difference. Finally, as a result of post-test, the average of the test group of web-based learning was 1.39 points higher than the control group in the internalization of environmental awareness, showing a statistically significant difference. Based on these results, it is assumed that the teaching method which applied web-based teaming to science and environmental education in elementary school is a effective strategy for elementary science and on environmental education.

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Generation of optical fringe patterns using deep learning (딥러닝을 이용한 광학적 프린지 패턴의 생성)

  • Kang, Ji-Won;Kim, Dong-Wook;Seo, Young-Ho
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.24 no.12
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    • pp.1588-1594
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    • 2020
  • In this paper, we discuss a data balancing method for learning a neural network that generates digital holograms using a deep neural network (DNN). Deep neural networks are based on deep learning (DL) technology and use a generative adversarial network (GAN) series. The fringe pattern, which is the basic unit of a hologram to be created through a deep neural network, has very different data types depending on the hologram plane and the position of the object. However, because the criteria for classifying the data are not clear, an imbalance in the training data may occur. The imbalance of learning data acts as a factor of instability in learning. Therefore, it presents a method for classifying and balancing data for which the classification criteria are not clear. And it shows that learning is stabilized through this.

A study on the realization of color printed material check using Error Back-Propagation rule (오류 역전파법으로구현한 컬러 인쇄물 검사에 관한 연구)

  • 한희석;이규영
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 1998.10a
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    • pp.560-567
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    • 1998
  • This paper concerned about a imputed color printed material image in camera to decrease noise and distortion by processing median filtering with input image to identical condition. Also this paper proposed the way of compares a normal printed material with an abnormal printed material color tone with trained a learning of the error back-propagation to block classification by extracting five place from identical block(3${\times}$3) of color printed material R, G, B value. As a representative algorithm of multi-layer perceptron the error Back-propagation technique used to solve complex problems. However, the Error Back-propagation is algorithm which basically used a gradient descent method which can be converged to local minimum and the Back Propagation train include problems, and that may converge in a local minimum rather than get a global minimum. The network structure appropriate for a given problem. In this paper, a good result is obtained by improve initial condition and adjust th number of hidden layer to solve the problem of real time process, learning and train.

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A Study on the Effectiveness of e-learning video class using the online learning judgement system : Focused on the social studies classes in Elementary school (온라인 학습판단 시스템을 활용한 e-러닝 동영상 수업의 효과연구 : 초등학교 사회과 수업을 중심으로)

  • Kim, Jihyun;Jung, Jaebum;Jo, Jaechoon;Lim, Heuiseok
    • Journal of the Korea Convergence Society
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    • v.10 no.2
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    • pp.141-148
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    • 2019
  • The purpose of this study is to analyze and compare the effectiveness of elementary in e-Learning video lessons. In an elementary school where the educational videos are frequently used, the learning about video materials is important but it is difficult to judge all students by a teacher in a classroom. In order to solve the problems of the field, In the fifth-grade elementary school social studies class, learning using video material was conducted by using the online learning judgment system for the experimental group, and learning using video material was conducted by the traditional method for the controlled group. As a result of the experiment, the class using the online learning judgment system was effective in enhancing the learner 's academic achievement. It also positively influenced learners' learning satisfaction. Teachers' satisfaction was not statistically significant because of the small number of teachers. However, The mean value of the teachers' satisfaction in the experimental group was high and the deviation was small.

Developing Learning Materials of Multimedia for General Science Instruction of High School (고등학교 공통과학 학습을 위한 멀티미디어 자료 구축)

  • Kim, Jae Hyun;Lee, Hee Bok;Kim, Hyun Sub;Kim, Hee Soo;Park, Jeong Wok;Park, Hyun Ju
    • Journal of the Korean Chemical Society
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    • v.44 no.3
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    • pp.249-257
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    • 2000
  • This study was designed to develop learning materials of multimediafor general science instruction of high school.this learning material was made of HTML record for each middle unit according to the general science curriculum, and was included a variety of Ietter, graph, picture, drawing, animation, and other moving image materials. And it was composed five coursewares:Content, Dictionary, Science Story,lmage Material, and Questions.The learning material is uploaded an internet website under Science Education Research Institute of Kongju National University (http://science.kongju.ac.kr), and also is provided to a CD-ROM title.

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Development of Machine Learning Method for Selection of Machining Conditions in Machining of 3D Printed Composite Material (3D 프린팅 복합소재의 가공에서 가공 조건 선정을 위한 머신러닝 개발에 관한 연구)

  • Kim, Min-Jae;Kim, Dong-Hyeon;Lee, Choon-Man
    • Journal of the Korean Society of Manufacturing Process Engineers
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    • v.21 no.2
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    • pp.137-143
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    • 2022
  • Composite materials, being light-weight and of high mechanical strength, are increasingly used in various industries such as the aerospace, automobile, sporting-goods manufacturing, and ship-building industries. Recently, manufacturing of composite materials using 3D printers has increased. 3D-printed composite materials are made in free-form and adapted for end-use by adjusting the fiber content and orientation. However, research on the machining of 3D printed composite materials is limited. The aim of this study is to develop a machine learning method to select machining conditions for machining of 3D-printed composite materials. The composite material was composed of Onyx and carbon fibers and stacked sequentially. The experiments were performed using the following machining conditions: spindle speed, feed rate, depth of cut, and machining direction. Cutting forces of the different machining conditions were measured by milling the composite materials. PCA, a method of machine learning, was developed to select the machining conditions and will be used in subsequent experiments under various machining conditions.

Web-based System for Managing and Utilizing The Teaching Plan (웹기반 학습지도안 관리 및 활용 시스템)

  • Kim, Sun-Hee;Jung, Soon-Young
    • The Journal of Korean Association of Computer Education
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    • v.8 no.2
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    • pp.53-60
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    • 2005
  • The teaching plan is an important material for teaching and learning, and it goes through many hardships to make out it. Although these materials have been shared through web and referenced for making their teaching plan by other teachers, it has been little utilized yet in learning. In this paper, we proposed a strategy for utilizing the teaching plan as a useful material in learning and had developed the web-based system for managing and utilizing the teaching plan based on the strategy.

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A Study on School Mathematics Field Trips for Teaching & Learning Method in Mathematics Education (수학 교수·학습을 위한 '학교수학답사'의 개념 탐색)

  • Suh, Bo Euk
    • The Mathematical Education
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    • v.54 no.1
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    • pp.31-47
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    • 2015
  • School Math Field Trips(SMFT) for School Mathematics can be defined as teaching and learning activity of mathematics going into the field of Korean history, culture, science and technology. This is a literature analysis study to systemize teaching and learning method of mathematics based on literature analysis and real SMFT activity. First, SMFT was introduced to improve cognitive affective and cultural-mathematical teaching and learning method of mathematics. Second, SMFT has three purposes of cognitive, affective and cultural-mathematical. Third, to conduct mathematical education activity the direction of teaching was set. Forth, the progressing way of developing material and SMFT was researched. Fifth, developing the evaluation standard of SMFT and evaluation method was suggested.