• Title/Summary/Keyword: use for learning

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A Study on the Scale Calculation of Information Support Facility of the Elementary School (초등학교 정보화 지원시설의 규모산정에 관한 연구)

  • Jo, Byeong-Seong;Lee, Ho-Chin
    • The Journal of Sustainable Design and Educational Environment Research
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    • v.4 no.4
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    • pp.25-38
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    • 2004
  • Schools have focused so far on a student-oriented education. As the roles of schools, however, have been increasingly emphasized in the information society, community-centered functions are now additionally required. Beyond simply allowing communities to utilize selected facilities, schools can conduct re-education programs for community residents and actively use their facilities for such purposes. As explained above, schools must continuously evolve to meet current needs and demands, such as by offering special classes and utilizing learning facilities in the elementary levels to promote learning in ever-changing societies. This study analyzed the functions of school facilities to communities, as well as the educational functions involved in teaching-learning processes, in light of the advent of a knowledge and information society. Through analysis, the types of information facilities in elementary schools were derived. On the basis of such derived types, systematic and reasonable methods to estimate the scope were suggested.

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Learning of multi-layer perceptrons with 8-bit data precision (8비트 데이타 정밀도를 가지는 다층퍼셉트론의 역전파 학습 알고리즘)

  • 오상훈;송윤선
    • Journal of the Korean Institute of Telematics and Electronics B
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    • v.33B no.4
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    • pp.209-216
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    • 1996
  • In this paper, we propose a learning method of multi-layer perceptrons (MLPs) with 8-bit data precision. The suggested method uses the cross-entropy cost function to remove the slope term of error signal in output layer. To decrease the possibility of overflows, we use 16-bit weighted sum results into the 8-bit data with appropriate range. In the forwared propagation, the range for bit-conversion is determined using the saturation property of sigmoid function. In the backwared propagation, the range for bit-conversion is derived using the probability density function of back-propagated signal. In a simulation study to classify hadwritten digits in the CEDAR database, our method shows similar generalization performance to the error back-propagation learning with 16-bit precision.

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Comparison of Efficiency of Learning Descriptive Statistics with Computer Software (소프트웨어를 이용한 기술통계 교육의 효과 비교)

  • 송필원
    • Journal of the Korean School Mathematics Society
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    • v.6 no.1
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    • pp.45-63
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    • 2003
  • This study is a research about the effect on achievement, retention and attitude of learning descriptive statistics with the computer software. For this study, 60 students are randomly divided two groups, one is an experimental group using software, the other one is a control group using lecture type of learning statistics. For the analysis, both groups are divided three subgroups according to mathematical ability. Also the topic "descriptive statistics" is divided by 5 subtopics. The test is divided three parts(computation, concept and application) according to knowledge type. The attitude toward statistics is investgated with questionaire and interview with both groups. The achievement test is taken after 8 class periods. The retention test were administered together six weeks after achievement test. The experimental group achieved significantly better than in concept type while the control group performed significantly better than the experimental group in computation type. With respect to the attitude toward statistics, lower ability students may have been negatively affected by the use of software.

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A study on Motor Skill Relearning (운동기능 재학습에 관한 연구)

  • Shin, Hong-Cheul
    • The Journal of Korean Physical Therapy
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    • v.1 no.1
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    • pp.47-61
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    • 1989
  • This paper presents the event approach to motor skill acquisition as a theoretical treatment of the learning and relearning of motor skill. 1) The use of norm-referenced developmental assesment tools and standardized qualitative assessment tool is an important component of infant movement evaluation. 2) The kinesthetic modality relaying movement and position imformation to the central nervous system is important for the detection and corretion of movement error. 3) The event approach treats the actor and the environment as inseparable in the acquisition of skills. 4) Motoy learning focuses almost entirely on how the skill is learned, contRolled and reTained. 5) Developmental assessment have needed an assessment of motor development. 6) A significant difference was found between articulation disorders children and motor coordination problem. 7) verbal ability is not essential for the learning of motor skills. 8) The Control of motor skills is a cognitive ability.

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A Case Study:A Learning System for Finding the Ranges of Transcendental Functions (초월함수 치역을 구하는 문제를 통한 학습시스템 모델에 관한 연구)

  • 김일곤;유석인
    • Korean Journal of Cognitive Science
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    • v.1 no.1
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    • pp.103-127
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    • 1989
  • Learning systems by using examples have been developed which include ALEX, LP, and LEX.Specially Silver's LP systems suggerts the method to use a seyuence of operators, which was applied to the worked example, to sove a symbolic equation.This paper presents the new learning system, called LRD, in which generalization and discrimination steps are suggerted to solv all the problems similar to the worked example.The system LRD is illustrated by the problem of finding the ranges of transcendentral functions and compared to LP and LEX by the problems discussed in them.

A Study on Integrating Digital Application into Foreign Language Education

  • An, Jeong-Whan;Lee, Su-Chul
    • International Journal of Contents
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    • v.12 no.1
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    • pp.54-59
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    • 2016
  • The purpose of this paper is to discover how the use of digital applications can affect students' attitudes toward positive classroom participation and performance in learning a foreign language. Participants of this study were 128 students who took a foreign language class at a high school in central Korea. To find out students' perceptions and attitudes toward the effect of using a digital application for their foreign language study, online questionnaire and focus-group interview were conducted. Our research findings revealed that these students could engage in active language learning and experience learning improvement while studying a foreign language with digital applications. The improvement was possible by creating more interactive activities and quizzes. In addition, the digital application provided students immediate feedback. It gave students and teachers various motivations beyond the traditional 'chalk and talk' format of text-only-classes. This study provides an overview of the usefulness of digital application. In addition, it provides understanding for students' perceptions and involvement using digital application in a foreign language classroom.

Photo Management Cloud Service Using Deep Learning

  • Kim, Sung-Dong;Kim, Namyun
    • International journal of advanced smart convergence
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    • v.9 no.3
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    • pp.183-191
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    • 2020
  • Today, taking photos using smartphones has become an essential element of modern people. According to these social changes, modern people need a larger storage capacity, and the number of unnecessary photos has increased. To support the storage, cloud-based photo storage services from various platforms have appeared, and many people are using the services. As the number of photos increases, it is difficult for users to find the photos they want, and it takes a lot of time to organize. In this paper, we propose a cloud-based photo management service that facilitates photo management by classifying photos and recommending unnecessary photos using deep learning. The service provides the function of tagging photos by identifying what the subject is, the function of checking for wrongly taken photos, and the function of recommending similar photos. By using the proposed service, users can easily manage photos and use storage capacity efficiently.

Efficient Portfolio Assessment Methods in Kindergarten (유치원에서의 효율적인 포트폴리오 평가 방법 연구)

  • Hwang, Yun Se;Yang, Ok Seung
    • Korean Journal of Child Studies
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    • v.22 no.1
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    • pp.191-211
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    • 2001
  • This in-depth study of portfolio method centered on efficient methods of application, including teacher education. The study was carried out in 2 public kindergartens in Taegu. The efficient portfolio assessment method was developed by revisions after successive applications, observations, and discussions with the teachers of both kindergartens. The resulting efficient portfolio method is composed of step 1: portfolio conference and planning; step 2: development of the portfolio in the process of teaching and learning; step 3: selection of the materials for the portfolio; step 4: analysis of the portfolio; and step 5: use of the portfolio method. The practical application of the portfolio assessment is included in the forms used for teachers' observations of children's play and educational interventions. Teachers' interventions include verbal interaction, presentation of materials, and participating as partners. This teaching-learning method consists of teaching and assessment by sensitive and instant responses to children's needs.

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Optimal Design of Magnetic Levitation Controller Using Advanced Teaching-Learning Based Optimization (개선된 수업-학습기반 최적화 알고리즘을 이용한 자기부상 제어기의 최적 설계)

  • Cho, Jae-Hoon;Kim, Yong-Tae
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.64 no.1
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    • pp.90-98
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    • 2015
  • In this paper, an advanced teaching-learning based optimization(TLBO) method for the magnetic levitation controller of Maglev transportation system is proposed to optimize the control performances. An attraction-type levitation system is intrinsically unstable and requires a delicate control. It is difficult to completely satisfy the desired performance through the methods using conventional methods and intelligent optimizations. In the paper, we use TLBO and clonal selection algorithm to choose the optimal control parameters for the magnetic levitation controller. To verify the proposed algorithm, we compare control performances of the proposed method with the genetic algorithm and the particle swarm optimization. The simulation results show that the proposed method is more effective than conventional methods.

Forthcoming Big Data in Smart Cities: Experiment for Machine Learning Based Happiness Estimation in Seoul City (빅데이터를 이용한 서울시 행복지수 분석 및 예측을 위한 실험 및 고찰)

  • Shin, Dongyoun;Song, Yu-Mi
    • Journal of KIBIM
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    • v.7 no.1
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    • pp.28-35
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    • 2017
  • Cities have complex system composed diverse activities. The activities in cities have complex relationship that creates diverse urban phenomena. Big Data is emerging technology in order to understand such complex network. This research aims to understand such relations by analysing the diverse city indexes. 28 indexes were collected in 25 of districts in Seoul city and analysed to find a weighted correlation. By defining the correlation values of certain years, it tries to predict the missed index values, "happiness" of each districts in other years. The result presents that the overall prediction accuracy 70.25%. However, for further discussion, the result is considered that this methods may not enough to use in practice, since the data has inconstant accuracy by different learning years.