• Title/Summary/Keyword: Subjective learning

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Development of Mobile-application based Cognitive Training Program for Cancer Survivors with Cognitive Complaints (암 환자를 위한 앱 기반의 인지건강훈련 프로그램의 개발)

  • Oh, Pok Ja;Youn, Jung-Hae;Kim, Ji Hyun
    • Korean Journal of Adult Nursing
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    • v.29 no.3
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    • pp.266-277
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    • 2017
  • Purpose: The purpose of this study was to design a mobile-application of a cognitive training program for people who have chemo-related cognitive complaints. Methods: The program was developed based on the network-based instructional system design proposed by Jung. The program consisted of several tasks centered on four cognitive domains: learning, memory, working memory, and attention. For memory learning, a target-image and all its elements (color, position, and number) were presented on the screen that had to be recognized among a number of distractor-figures. In working memory training, the previous learned target-figure according to the level of difficulty had to be remembered among many different figures. In attention training named "Find the same figure," two identical symbols in a grid-pattern filled with different images were presented on the screen, and these had to be simultaneously touched. In attention training named "Find the different figure," a different symbol in a grid pattern filled with same figures had to be selected. This program was developed to train for a minimum of 20 min/day, four days/week for six weeks. Results: This cognitive training revealed statistically significant improvement in subjective cognitive impairments (t=3.88, p=.006) at six weeks in eight cancer survivors. Conclusion: This cognitive training program is expected to offer individualized training opportunities for improving cognitive function and further research is needed to test the effect in various settings.

A study of subjective oral health actual condition in elementary school teachers, Daegu area (치기공과와 치위생과 학생의 특성과 전공학습 인지도)

  • Song, Kyung-Hee;Bae, Bong-Jin
    • Journal of Korean society of Dental Hygiene
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    • v.9 no.3
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    • pp.522-535
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    • 2009
  • Surveying perception of majors to students of Department of dental technology 433(48.3%) and Department of dental hygiene 463(51.7%), and their sex rates 272 (30.4%) for males and 624 (69.6%) for females, 896 examines in total, have let us to know the level of student's perception of their majors and now able to adjust the level of major's lectures and maximize the ability to study has brought these conclusions. 1. Although the hometowns of students had similar rates between large and small cities disregarding their departments, the type of highschool had differences for the academic highschool graduators were the most. Also, CSAT was the highest than other specialized types when entering. 2. Self selection considering employment percentage was the highest for the student's choice of selecting department of dental hygiene and dental technology. 3. For the satisfaction of school and education systems, "satisfied" and "normal" were as high as 74% in both department of dental hygiene and dental technology for school satisfaction, and 75%, 74% for satisfaction of environment from the two departments. 4. As for the satisfaction of department and environment, department of dental hygiene and dental technology both answered "satisfied" and "normal" the most, but in satisfaction of companions, they have shown relatively high satisfaction by answering "very satisfied" and "satisfied". 5. Difficulties of majors relating to the perception of learning, department of dental technology and dental hygiene both answered too much to memorize and hard to understand. 6. Department of dental technology's try for majors relating to the level of perception of learning have shown that they have high understandings in proportion to how much they try but for department of dental hygiene has shown not much differences. 7. Department of dental hygiene had higher stress than department of dental technology in studying majors and there were both some differences statistically.

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Analysis and Identification of Students' Threshold Concepts in High School Chemistry (학습경험을 바탕으로 학생들이 제시하는 고등학교 화학교과 내의 어려운 개념과 문지방개념 분석연구)

  • Park, Eun Jung
    • Journal of the Korean Chemical Society
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    • v.58 no.1
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    • pp.126-129
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    • 2014
  • Concerning the difficulty of learning science and reduced interest in science, the authors of this study searched for potential threshold concepts which are portals or gateways in the field of science (particularly chemistry). The nature of these concepts and how to overcome their troublesomeness were further questioned. For this study, 239 high school students completed chemistry II provided information about what difficult concepts and potential threshold concepts in high school chemistry are and how they affect learning chemistry. In particular, the mastery experience of the threshold concepts was explored in detail. Two, "mole and atomic structure" were selected as threshold concepts in chemistry. Not only as important but also as threshold, this study emphasized the importance of the two concepts in terms of features characterizing them as threshold concepts. In particular, the features objectify subjective experiences of students and provide information describing the scientific meaning and distinctive nature of threshold concepts in science. Along with the data from teachers, this study shows the integrative feature as key criteria for students to make meaningful understanding of the two threshold concepts.

The Development and Application of Wetland Ecology Map Program for the Study through Experience at Upo Swamp (우포늪 체험 학습을 위한 습지 생태 지도 프로그램 개발 및 적용)

  • Yang, Eun-Ju;Kim, Kee-Dae
    • Hwankyungkyoyuk
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    • v.23 no.2
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    • pp.97-112
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    • 2010
  • The study aims to comprehend the effect of the wetland ecology education on the elementary school students' changes of recognition about wetland through the wetland ecology map program. In this study, the literary research, the experimental research and the survey methods were operated. Through the literary research, the environmental factors were extracted, and the writing item of ecology map was reconstructed based on the literary research, so the experimental research was operated with the wetland ecology map program. Through four areas of test items such as the information and knowledge, values and attitudes, development and conservation, behavior and participation, and the analysis of children's study results, the effect of the wetland ecology map program on changes of recognition about wetland was verified quantitatively and qualitatively. Wetland ecology map program would be able to be an educational approach which can achieve the 'personalization of environment' setting up predictable environmental improvement goals and satisfying the needs of spatial information of the appropriate regions from the holistic perspective that students themselves plan and participate beyond a one-time experience program. Production of ecological map through continuous monitoring is expected to improve the possibility of subjective environmental actions by operating self-directed learning. Based on the conclusion of this study, we would suggest the following. For wetland ecology map program to be supplemented and utilized, the basic education of wetland should be organized in regular school curriculum, ecology map program including various teaching learning methods be prepared actively, and in future studies, studies of ecosystem-wide wetland ecology map program including animals like birds and fish are necessary.

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Analyses on the Cognitive and Affective Characteristics of the Mathematically Underachievers by Descriptive tests and Interviews (서술 및 면담 평가를 통한 수학학습부진아의 인지적.정의적 특성 분석)

  • Nam, Mi-Sun;Park, Man-Goo
    • Communications of Mathematical Education
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    • v.22 no.2
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    • pp.229-252
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    • 2008
  • The purpose of this research was to make fair assessment methods which took into account characteristics of mathematically underachievers. The researchers devised an descriptive tests and interviews and applied them to the mathematics underachievers who could not reveal their achievements in the traditional assessment and then analyzed their cognitive and affective characteristics in the alternative assessments. After selecting three students by the normal assessment made of simple subjective and multiple choice questions, the cognitive and affective characteristics found in the general assessment were reflected to the descriptive tests and interviews. The descriptive tests and interviews are comprised of descriptive narrations and informal interview questions. After the assessment, the teacher and students gave feedbacks one another. All the assessment activities were recorded by a camcorder to analyze cognitive and affective characteristics of the children. Throughout the research, the following conclusions were made. The mathematics underachievers showed the characteristics which didn't appeared in the normal assessment. They showed normal abilities of problem solving and communication In the cognitive area. Also they brought in positive result in most parts in the affective area. However, the student B displayed considerable ability of mathematical thinking that is over the average level of mathematical underachievers. This implies that we can definite the mathematical underachievers differently when we use the detailed and relief assessment method instead of the traditional assessment. On the other hand, one student tended to depend on the teacher and another student overheard what the others talk during the study. This defect should be complemented by the further studies about assessment method for the mathematical underachievers. Also appropriate assessment methods should be made for applying to the various mathematical underachievers. Many studies have been concentrated on the learning for mathematical underachievers but there is little concern about the assessment for the mathematical underachievers. However it is the fundamental way to reduce the number of mathematics underachievers that we construct consistent learning methods and assessments for the mathematical underachievers.

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Visual System in Typograph education (타이포그라피 교육을 위한 Visual System 연구)

  • 박효신
    • Archives of design research
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    • v.12 no.4
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    • pp.273-282
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    • 1999
  • Typography is a subject of fundamental principle and considerable importance to the practice of design and visual language. In Typography education, we need to teach student with systematic, logic and holistic view prior to intuitive way. It must be emphasized as a foundation to all graphic design students who are familiar with digital media. despite the fact that high technology has invaded th design profession and the importance of learning how to deal with these new possibilities has grown, technological processes are not substituted nor are they excuses for not learning basic principles of Typography. Technology is merely and extension of these skills. The logic is objective and the intuition is subjective. Visual system exercises the student's ability to work objectively in thought and in method. Visual system presents the idea that logic and intuition can work together to give stronger results in problem solving than either can alone. I critically analyzed that what is system and how can we develop visual system which can be adapted to Typography education. I also have investigated visual system to find the possibility and flexibility in Typography education.

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Convolution Neural Network based TW3 Maximum Height Prediction System (컨볼루션 신경망 기반의 TW3 최대신장예측 시스템)

  • Park, Si-hyeon;Cho, Young-bok
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.22 no.10
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    • pp.1314-1319
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    • 2018
  • The current TW3 - based maximum height prediction technique used in KMAA(Korean Medical Academy of Auxology) is manual and subjective, and it requires a lot of time and effort in the medical treatment, while the interest in the child's growth is very high. In addition, the technique of classifying images using deep learning, especially convolutional neural networks, is used in many fields at a more accurate level than the human eyes, also there is no exception in the medical field. In this paper, we introduce a TW3 algorithm using deep learning, that uses the convolutional neural network to predict the growth level of the left hand bone, to predict the maximum height of child and youth in order to increase the reliability of predictions and improve the convenience of the doctor.

Drivers' Learning Mechanism and Route Choice Behavior for Different Traffic Conditions (교통상황에 따른 운전자의 경로선택과 학습행동에 관한 연구)

  • 도명식;석종수;김명수;최병국
    • Journal of Korean Society of Transportation
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    • v.21 no.3
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    • pp.97-106
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    • 2003
  • When a route choice is done under uncertainty, a driver has some expectation of traffic conditions that will occur according to the route chosen. This study tries to build a framework in which we can observe the learning behavior of the drivers' expectations of the travel time under nonstationary environment. In order to investigate how drivers have their subjective expectations on traffic conditions in response to public information, a numerical experiment is carried out. We found that rational expectations(RE) formation about the route travel time can be expressed by the adaptive expectation model when the travel time changes in accordance with the nonstationary process which consists of permanent shock and transient shock. Also, we found that the adaptive parameter of the model converges to the fixed value corresponding to the route conditions.

Analysis of Emotions in Broadcast News Using Convolutional Neural Networks (CNN을 활용한 방송 뉴스의 감정 분석)

  • Nam, Youngja
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.24 no.8
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    • pp.1064-1070
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    • 2020
  • In Korea, video-based news broadcasters are primarily classified into terrestrial broadcasters, general programming cable broadcasters and YouTube broadcasters. Recently, news broadcasters get subjective while targeting the desired specific audience. This violates normative expectations of impartiality and neutrality on journalism from its audience. This phenomenon may have a negative impact on audience perceptions of issues. This study examined whether broadcast news reporting conveys emotions and if so, how news broadcasters differ according to emotion type. Emotion types were classified into neutrality, happiness, sadness and anger using a convolutional neural network which is a class of deep neural networks. Results showed that news anchors or reporters tend to express their emotions during TV broadcasts regardless of broadcast systems. This study provides the first quantative investigation of emotions in broadcasting news. In addition, this study is the first deep learning-based approach to emotion analysis of broadcasting news.

ISFRNet: A Deep Three-stage Identity and Structure Feature Refinement Network for Facial Image Inpainting

  • Yan Wang;Jitae Shin
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.17 no.3
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    • pp.881-895
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    • 2023
  • Modern image inpainting techniques based on deep learning have achieved remarkable performance, and more and more people are working on repairing more complex and larger missing areas, although this is still challenging, especially for facial image inpainting. For a face image with a huge missing area, there are very few valid pixels available; however, people have an ability to imagine the complete picture in their mind according to their subjective will. It is important to simulate this capability while maintaining the identity features of the face as much as possible. To achieve this goal, we propose a three-stage network model, which we refer to as the identity and structure feature refinement network (ISFRNet). ISFRNet is based on 1) a pre-trained pSp-styleGAN model that generates an extremely realistic face image with rich structural features; 2) a shallow structured network with a small receptive field; and 3) a modified U-net with two encoders and a decoder, which has a large receptive field. We choose structural similarity index (SSIM), peak signal-to-noise ratio (PSNR), L1 Loss and learned perceptual image patch similarity (LPIPS) to evaluate our model. When the missing region is 20%-40%, the above four metric scores of our model are 28.12, 0.942, 0.015 and 0.090, respectively. When the lost area is between 40% and 60%, the metric scores are 23.31, 0.840, 0.053 and 0.177, respectively. Our inpainting network not only guarantees excellent face identity feature recovery but also exhibits state-of-the-art performance compared to other multi-stage refinement models.