• Title/Summary/Keyword: use for learning

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Exploring the educational potential of metaverse for medical education (의학교육을 위한 메타버스의 교육적 가능성 탐색)

  • Hyeonmi Hong;Young Hyun Yun;Youngjon Kim
    • Journal of Medicine and Life Science
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    • v.20 no.1
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    • pp.8-14
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    • 2023
  • Interest in the metaverse is increasing as learners participate in learning with presence, improving learning motivation, and interaction. Currently, the use of metaverse in medical education remains in a test-phase of introduction within some companies, while some medical school professors are beginning to utilize it. Therefore, it is difficult to ascertain whether the metaverse has educational potential when used in medical education. This exploratory study investigates the possibility of the educational use of the metaverse. Both the educational usefulness and the examples of its educational usage in domestic and foreign medical schools are explored. As the metaverse is expected to be introduced and utilized more actively in the future, some of its advantages and limitations in medical education have been identified. In light of the vast potential of the metaverse in medical education, the method of educating and preparing medical students should be developed by preparing a new educational foundation.

Design Development of the Child-Oriented Furniture for Playing & Learning (놀이와 학습을 위한 아동용가구의 디자인방향 모색)

  • Lee, Mi-Hye;Yang, Seung-Hee
    • Journal of the Korea Furniture Society
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    • v.19 no.5
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    • pp.341-349
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    • 2008
  • This study intends to analyze the importance of design on the basis of the children' emotion, by instancing the child-oriented furniture that contributes to the healthy growing and emotion-development of children. This means the reflection of the will trying to see the main point of design for the child-oriented furniture and it's possibility from another new standpoint. It will be understood how far the furniture influences the children and for that the furniture among others for the preschool children having playing & leaning functions is taken as an object of the study. The scope of study is the child-oriented furniture having playing & learning functions that has been presented for displaying as well as for a commercial use, since 2005. The attempt to find objective factors working positively for the emotion- & behavior development of children through seeking a new design of the child-oriented furniture for playing & learning is for emphasizing the importance of the emotional function, not only the primary function of furniture, at designing the child-oriented furniture. The combination between applications of the specialized material for child education & studies, therefore, has to be handled more importantly. The child-oriented furniture for playing & leaning that stimulates a healthy growing of child not only physically, also emotionally should be constantly and more deeply specialized on child education and design aspects.

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Evaluation of ICT-Utilized Lessons on the based of CBAM model by Home Economics Teachers - on Concerns and Implementation - (CBAM 모형에 근거한 가정과 교사의 ICT 활용수업 평가 - 관심도와 실행 수준을 중심으로 -)

  • 채정현;황선경
    • Journal of Korean Home Economics Education Association
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    • v.14 no.2
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    • pp.37-52
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    • 2002
  • This study was made on the concerns and implementation of the ICT(Inormation and Communication Technology)-utilized lesson by home economics teacher. The objective of this study is to investigate the stages of concern and the level of use of the ICT-utilized lesson by home economics teachers in Kyunggi Province through the concerns based adoption model(CBAM) and to provide assistance for ICT-utilizing lesson to be efficiently adopted to home economics. This study made selected 200 schools by random sampling among 233 middle schools which have two or more home economic teachers and 21 or more classes in Kyunggi Province which has a total of 395 middle schools and mail-surveyed on 400 home economics teachers by means of questionnaire. The stages of concern. the levels of use and the types of implementation were used as instruments in this survey. The results of this study on the stages of concern. the levels of use and the type of implementation of the ICT-utilized lesson by home economics teachers in Kyunggi Province were as following: First. the highest point of the concern of home economics teachers of ICT-utilized lesson was the stage of awareness. the second highest point was the stage of management. the 3rd stage. and the stage of information. the lst stage. Second. the highest level of implementation of ICT-utilized lesson by home economics teachers was the level of mechanical use. the 3rd stage(30.4%), which followed by the level of orientation. the 1st stage(22.5%). and the level of nonuse(16.7%). the level of rountine use. the 4th stage(13.7%) the level of integration. the 5th stage(11.8%). the level of preparation 2(3.9%). and the level of renewal. the 6th stage(1.0%) Third, information search was the most in the type of ICT-use and in the course of lesson CD-ROM was used the most.. During ICT-utilized lesson. most of teachers used computer one to two hours a week mainly in the lessons of clothing life and eating life. Home economics teachers took the most training of how to use word-processor(68.6%) during computer education. and 60 teachers(66.0%) gave positive response about the effect of computer education on teacher's learning. Finally. the biggest problem with ICT-use in the teacher's learning was the long preparation time for lesson. and problem with ICT-utilized lesson was the burden of time and effort spent to buy needed materials and to recompose the existing materials for the lesson. Therefore. so as to adopt ICT-utilized lesson efficiently into school it is needed that active promotion for the lesson should be made to teachers. training teachers to raise their ability to use computer and various kinds of software should be expanded. and school authorities' financial and administrative assistance should be given for the smooth proceeding of the lesson.

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Using ICT in the HEIs in the Study of the Philological Sciences

  • Iryna, Kominiarska;Roman, Dubrovskyi;Inna, Volianiuk;Natalya, Yanus;Oleksandr, Hryshchenko
    • International Journal of Computer Science & Network Security
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    • v.22 no.5
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    • pp.31-38
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    • 2022
  • The article highlights the educational potential of information and communication technologies in the study of philological disciplines in higher education institutions. The study aims to analyze the didactic potential of ICT in the study of philological disciplines, as well as to check the scientific hypothesis that the use of ICT in HEIs in the study of philological disciplines will intensify and enhance the effectiveness of the learning process. To confirm the validity of the hypothesis, experimental testing was carried out and the results are illustrated in the article. The above-mentioned goal of the study determined the use of theoretical and empirical methods: analysis, synthesis, generalization, and systematization of pedagogical and scientific-methodological literature to clarify the state of research problem development and to identify pedagogical foundations on which the process of ICT use is based, comparison and prediction; questioning and testing of educational process participants to understand the effectiveness of ICT use in their training in HEIs. The research results showed positive changes in all analyzed criteria in the experimental group, which is due to the introduction of additional ICT tools into the educational process of the mentioned group. The scientific novelty of the study consists in highlighting the main characteristics and didactic functions of ICT in the learning process of philological students; in covering the classification of ICT, ICT tools, and typology of training sessions using ICT in the study of philological disciplines. In the conclusion it is summarized that the introduction of modern ICT in the educational process allows intensifying the learning process, implementation of a variety of ideas, increases the pace of classes and material assimilation, influencing the motivation for learning, increases the amount of independent work of students.

Deep Learning-based Professional Image Interpretation Using Expertise Transplant (전문성 이식을 통한 딥러닝 기반 전문 이미지 해석 방법론)

  • Kim, Taejin;Kim, Namgyu
    • Journal of Intelligence and Information Systems
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    • v.26 no.2
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    • pp.79-104
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    • 2020
  • Recently, as deep learning has attracted attention, the use of deep learning is being considered as a method for solving problems in various fields. In particular, deep learning is known to have excellent performance when applied to applying unstructured data such as text, sound and images, and many studies have proven its effectiveness. Owing to the remarkable development of text and image deep learning technology, interests in image captioning technology and its application is rapidly increasing. Image captioning is a technique that automatically generates relevant captions for a given image by handling both image comprehension and text generation simultaneously. In spite of the high entry barrier of image captioning that analysts should be able to process both image and text data, image captioning has established itself as one of the key fields in the A.I. research owing to its various applicability. In addition, many researches have been conducted to improve the performance of image captioning in various aspects. Recent researches attempt to create advanced captions that can not only describe an image accurately, but also convey the information contained in the image more sophisticatedly. Despite many recent efforts to improve the performance of image captioning, it is difficult to find any researches to interpret images from the perspective of domain experts in each field not from the perspective of the general public. Even for the same image, the part of interests may differ according to the professional field of the person who has encountered the image. Moreover, the way of interpreting and expressing the image also differs according to the level of expertise. The public tends to recognize the image from a holistic and general perspective, that is, from the perspective of identifying the image's constituent objects and their relationships. On the contrary, the domain experts tend to recognize the image by focusing on some specific elements necessary to interpret the given image based on their expertise. It implies that meaningful parts of an image are mutually different depending on viewers' perspective even for the same image. So, image captioning needs to implement this phenomenon. Therefore, in this study, we propose a method to generate captions specialized in each domain for the image by utilizing the expertise of experts in the corresponding domain. Specifically, after performing pre-training on a large amount of general data, the expertise in the field is transplanted through transfer-learning with a small amount of expertise data. However, simple adaption of transfer learning using expertise data may invoke another type of problems. Simultaneous learning with captions of various characteristics may invoke so-called 'inter-observation interference' problem, which make it difficult to perform pure learning of each characteristic point of view. For learning with vast amount of data, most of this interference is self-purified and has little impact on learning results. On the contrary, in the case of fine-tuning where learning is performed on a small amount of data, the impact of such interference on learning can be relatively large. To solve this problem, therefore, we propose a novel 'Character-Independent Transfer-learning' that performs transfer learning independently for each character. In order to confirm the feasibility of the proposed methodology, we performed experiments utilizing the results of pre-training on MSCOCO dataset which is comprised of 120,000 images and about 600,000 general captions. Additionally, according to the advice of an art therapist, about 300 pairs of 'image / expertise captions' were created, and the data was used for the experiments of expertise transplantation. As a result of the experiment, it was confirmed that the caption generated according to the proposed methodology generates captions from the perspective of implanted expertise whereas the caption generated through learning on general data contains a number of contents irrelevant to expertise interpretation. In this paper, we propose a novel approach of specialized image interpretation. To achieve this goal, we present a method to use transfer learning and generate captions specialized in the specific domain. In the future, by applying the proposed methodology to expertise transplant in various fields, we expected that many researches will be actively conducted to solve the problem of lack of expertise data and to improve performance of image captioning.

The Effect of an Instruction Using Analog Systematically in Middle School Science Class (중학교 과학 수업에서 비유물을 체계적으로 사용한 수업의 효과)

  • Noh, Tae-Hee;Kwon, Hyeok-Soon;Lee, Seon-Uk
    • Journal of The Korean Association For Science Education
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    • v.17 no.3
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    • pp.323-332
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    • 1997
  • In order to use analog more systematically in science class, an instructional model was designed on the basis of analogical reasoning processes (encoding, inference, mapping, application, and response) in the Sternberg's component process theory. The model has five phases (introducing target context, cue retrieval of analog context, mapping similarity and drawing target concept, application, and elaboration), and the instructional effects of using the model upon students' comprehension of science concepts and motivation level of learning were investigated. The treatment and control groups (1 class each) were selected from 8th-grade classes and taught about chemical change and chemical reaction for the period of 10 class hours. The treatment group was taught with the materials based on the model, while the control group was taught in traditional instruction without using analog. Before the instructions, modified versions of the Patterns of Adaptive Learning Survey and the Group Assessment of Logical Thinking were administered, and their scores were used as covariates for students' conceptions and motivational level of learning, respectively. Analogical reasoning ability test was also administered, and its score was used as a blocking variable. After the instructions, students' conceptions were measured by a researcher-made science conception test, and their motivational level of learning was measured by a modified version of the Instructional Materials Motivation Scale. The results indicated that the adjusted mean score of the conception test for the treatment group was significantly higher than that of the control group at .01 level of significance. No significant interaction between the instruction and the analogical reasoning ability was found. Although the motivational level of learning for the treatment group was higher than that for the control group, the difference was found to be statistically insignificant. Educational implications are discussed.

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Training Method for Enhancing Classification Accuracy of Kuzushiji-MNIST/49 using Deep Learning based on CNN (CNN기반 딥러닝을 이용한 Kuzushiji-MNIST/49 분류의 정확도 향상을 위한 학습 방안)

  • Park, Byung-Seo;Lee, Sungyoung;Seo, Young-Ho
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.24 no.3
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    • pp.355-363
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    • 2020
  • In this paper, we propose a deep learning training method for accurately classifying Kuzushiji-MNIST and Kuzushiji-49 datasets for ancient and medieval Japanese characters. We analyze the latest convolutional neural network networks through experiments to select the most suitable network, and then use the networks to select the number of training to classify Kuzushiji-MNIST and Kuzushiji-49 datasets. In addition, the training is conducted with high accuracy by applying learning methods such as Mixup and Random Erase. As a result of the training, the accuracy of the proposed method can be shown to be high by 99.75% for MNIST, 99.07% for Kuzushiji-MNIST, and 97.56% for Kuzushiji-49. Through this deep learning-based technology, it is thought to provide a good research base for various researchers who study East Asian and Western history, literature, and culture.

Novel Algorithms for Early Cancer Diagnosis Using Transfer Learning with MobileNetV2 in Thermal Images

  • Swapna Davies;Jaison Jacob
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.18 no.3
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    • pp.570-590
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    • 2024
  • Breast cancer ranks among the most prevalent forms of malignancy and foremost cause of death by cancer worldwide. It is not preventable. Early and precise detection is the only remedy for lowering the rate of mortality and improving the probability of survival for victims. In contrast to present procedures, thermography aids in the early diagnosis of cancer and thereby saves lives. But the accuracy experiences detrimental impact by low sensitivity for small and deep tumours and the subjectivity by physicians in interpreting the images. Employing deep learning approaches for cancer detection can enhance the efficacy. This study explored the utilization of thermography in early identification of breast cancer with the use of a publicly released dataset known as the DMR-IR dataset. For this purpose, we employed a novel approach that entails the utilization of a pre-trained MobileNetV2 model and fine tuning it through transfer learning techniques. We created three models using MobileNetV2: one was a baseline transfer learning model with weights trained from ImageNet dataset, the second was a fine-tuned model with an adaptive learning rate, and the third utilized early stopping with callbacks during fine-tuning. The results showed that the proposed methods achieved average accuracy rates of 85.15%, 95.19%, and 98.69%, respectively, with various performance indicators such as precision, sensitivity and specificity also being investigated.

The Educational Idea Presenting In the SLMP's Standards (미국학교도서관기준에 나타난 SLMP의 교육적 이념)

  • Kim Hyo-Jung
    • Journal of the Korean Society for Library and Information Science
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    • v.12
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    • pp.121-147
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    • 1985
  • In the modern communicative age, the standards of the school libraries are the qualitative guarantee on the services of school libraries or school library media programs, as the guidline, the active guide, the policy documentation and criteria for the professional excellence. The standards of SLMP were revised the sixth time by the school library profession(ALA) with the members or agency of NEA in the U.S. There are the first standard was a quantitative; 'the Certain Report'(by A.L.A., 1920) appearing that the school library is the heart of the school, 2nd 1925; turning up the teaching material source and personel, 'School Libraries for today and tomorrow' (by AASL, 1945) incluseing the instructional materials and the 7th educational ideas in the quantitative feature, 'Standards for School Library Programs' (by AASL, 1960) expressing the instructional material center, communicative environment, learning and teaching laboratory, 'Standards for school media programs' (by DAVI & AASL, 1969) implicating the instructional resource, learning and teaching laboratory, the condition precedent of qualitative education for excellence, 'Standards for media programs; District/school (by AASL & AECT, 1975) containing the improving user's educational experience and personal freedom on the use of SLMP's services. Through changing the standards of SLMP in the US, We have known that the main educational idea in the standards are; (1) SLMP is the instructional force and resource for qualitative, excellence education by learning and teaching laboratory, instructional resource, communicative environment (2) SLMP is the actualizing force and resource for user's self-realization by intellectual and personal excellence, individualizing, humanizing and personalizing education.

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A Case Study on Application of Flipped Learning in Medical Humanities: Focus on Instructional Design and Learners' Perspective (의료인문학 수업의 플립 러닝 적용 사례 연구: 수업설계와 학습자 인식을 중심으로)

  • Oh, Heejin
    • Journal of Science Education
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    • v.44 no.2
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    • pp.240-258
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    • 2020
  • The advances in science technology brought about a new form of learning called flipped-learning: a combination of on-line and off-line learning. A flipped learning is a form of blended learning which has become quite popular, nowadays, in the field of education. Despite the emphasis on the importance of medical humanities in medical education program, there are no effective teaching and learning models to realize the purpose of medical humanities education. This study explores the possibility of flipped-learning to apply medical humanities classes. The class was designed based on the ADDIE model consisting of five stages, analysis - design - development - execution - evaluation. In order to do 'flipped-learning,' the instructor reconstructs the purpose of medical humanities education, instructional purpose and content, and analyzed learner. The contents of the medical humanities class were structured considering the purpose of the introduction to the medical humanities in the medical education program and the competencies that medical personnel should have in the developed health care environment. The instructor produces a video of the lecture and makes it possible to use LMS (Learning Management System) before and after classes, and conducts discussion activities so that learner-learner and learner-teacher interaction could actively occur during the class. The result of applying medical humanities lesson as flipped learning is as follows: First, it can realize the essence of medical humanities education. Second, it contributes to strengthening the competencies of health care provider. Third, flip learning can be used as a new teaching strategy for medical humanities education. The result of this study is expected to suggest new ways of introduction to teaching method in the traditional medical humanities class and contribute to the practice of designing and doing flipped learning of medical humanities class in the future.