• Journal of Korean Home Economics Education Association
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• v.22 no.3
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• pp.163-188
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• 2010

This study set out to develop and evaluate an educational program for the Clothing Life of Home Economics through the theme-based integrated approach develop integrated thinking abilities for solving everyday problems. For those purposes, it selected a couple of themes in the area of Clothing Life toward which the theme-based integrated approach could be develop and evaluate an educational program. The developed program was applied and assessed in total 28 hours of field lessons given to eighth graders attending B Middle School in Busan Metropolitan City. The analysis stage involved an exploration into programs related to an integrated approach to other subjects; the design stage identification of program types; and the development stage theme selection according to the selection criteria. The previous studies were analyzed along with the Technology and Home Economics textbooks to select a theme. two themes "Clothing Management" and "Fabrics(Materials)" were selected after discussing with the students on the Messenger and with a group of experts. Then content was organized and composed around the themes by discussing connections with other subjects. There were three evaluation; one by experts, another through preliminary lessons, and the other through field lessons. Following the research procedure, a theme-based integrated program was developed for the two selected themes. It contained total 49 and 32 learning materials for "Clothing Management" and "Fabrics(Materials)," respectively. Those learning materials were comprised of experiments and practices according to the nature of the themes. Each program consisted of the goals, learning content, content organization chart, learning activities, and evaluation; learning activities experiences, practice and experiment activities, self-directed activities and problem-solving processes; and evaluations self-evaluation, teacher evaluation, peer evaluation, portfolio, and experiment reports. The program was assessed three times. The first and second evaluation results found that the program was well compatible with the current needs, was properly organized to give lessons through integration with other subjects, and continuously maintained the students' interest. They, however, requested that there should be detailed explanations about each part of the program content. In the third evaluation done by the students during field lessons, 60% of them said that the program was fun and its content was easy to understand, that they realized a theme could be connected to several other subjects, and that the program could be applied to actual life. The educational program through the theme-based integrated approach is significant in that it is an educational program for the area of Clothing Life and tries an integrated approach. It helped the students not only gather knowledge in an integrated manner, but put it to practical uses to solve various problems they faced in actual life by creatively changing integrated knowledge. The study will be hopefully used by many teachers so that the students solve problems based on the ability of integrating various knowledges organically.

• Journal of Intelligence and Information Systems
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• v.20 no.3
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• pp.59-76
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• 2014

The revolution of smart media such as smart phone, smart TV and tablets has brought easiness for people to get contents and related information anywhere and anytime. The characteristics of the smart media have changed user behavior for watching the contents from passive attitude into active one. Video is a kind of multimedia resources and widely used to provide information effectively. People not only watch video contents, but also search for related information to specific objects appeared in the contents. However, people have to use extra views or devices to find the information because the existing video contents provide no information through the contents. Therefore, the interaction between user and media is becoming a major concern. The demand for direct interaction and instant information is much increasing. Digital media environment is no longer expected to serve as a one-way information service, which requires user to search manually on the internet finding information they need. To solve the current inconvenience, an interactive service is needed to provide the information exchange function between people and video contents, or between people themselves. Recently, many researchers have recognized the importance of the requirements for interactive services, but only few services provide interactive video within restricted functionality. Only cooking domain is chosen for an interactive cooking video query service in this research. Cooking is receiving lots of people attention continuously. By using smart media devices, user can easily watch a cooking video. One-way information nature of cooking video does not allow to interactively getting more information about the certain contents, although due to the characteristics of videos, cooking videos provide various information such as cooking scenes and explanation for each recipe step. Cooking video indeed attracts academic researches to study and solve several problems related to cooking. However, just few studies focused on interactive services in cooking video and they still not sufficient to provide the interaction with users. In this paper, an interactive cooking video query service system with linked data to provide the interaction functionalities to users. A linked recipe schema is used to handle the linked data. The linked data approach is applied to construct queries in systematic manner when user interacts with cooking videos. We add some classes, data properties, and relations to the linked recipe schema because the current version of the schema is not enough to serve user interaction. A web crawler extracts recipe information from allrecipes.com. All extracted recipe information is transformed into ontology instances by using developed instance generator. To provide a query function, hundreds of questions in cooking video web sites such as BBC food, Foodista, Fine cooking are investigated and analyzed. After the analysis of the investigated questions, we summary the questions into four categories by question generalization. For the question generalization, the questions are clustered in eleven questions. The proposed system provides an environment associating UI (User Interface) and UX (User Experience) that allow user to watch cooking videos while obtaining the necessary additional information using extra information layer. User can use the proposed interactive cooking video system at both PC and mobile environments because responsive web design is applied for the proposed system. In addition, the proposed system enables the interaction between user and video in various smart media devices by employing linked data to provide information matching with the current context. Two methods are used to evaluate the proposed system. First, through a questionnaire-based method, computer system usability is measured by comparing the proposed system with the existing web site. Second, the answer accuracy for user interaction is measured to inspect to-be-offered information. The experimental results show that the proposed system receives a favorable evaluation and provides accurate answers for user interaction.

• Journal of The Korean Association For Science Education
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• v.42 no.1
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• pp.127-147
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• 2022

Pre-service science teacher education is important to elaborate the quality of science teaching and learning in schools. Therefore, many pre-service science teacher education researches have been done in Korea. However, almost no research has comprehensively reviewed those literatures including secondary teacher education context. This study reviewed 410 pre-service science teacher education researches in Korea, from 1995 to 2021 published by 17 journals in KCI. The trends were analyzed with respect to the number of article according to period, keyword frequency, and qualitative features. The qualitative features were coded in multiple aspects of pre-service teachers' type, major, subject-matter in research context, research approach, data type, and the number of participants. The results indicate that the number of research articles has increased by about 40 for every 5-year period. JKASE has published most articles, and the diversity of journals has increased since 2010. Keyword frequency revealed that scientific concepts, science teaching efficacy, nature of science, and other teaching and learning contexts were emphasized. In qualitative features, the most frequent pre-service type was secondary in 'general' science context. For research topic, 'pre-service teacher education program' and 'perception and cognitive domain' were the most frequent. Most of the articles have 'analyzed' the phenomena or consequence of educational issue. Most research was conducted with 11 to 30 participants. These patterns of qualitative features have differed according to period, and types of pre-service teacher. Suggestions for the future pre-service science teacher education research topic were explored, such as policy-administrative research, integrated science teacher education, teacher agency, and environmental education.

• Journal of the Computational Structural Engineering Institute of Korea
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• v.37 no.4
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• pp.225-232
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• 2024

This study focuses on the determination of the fracture mode in composite laminates using deep learning. With the increase in the use of laminated composites in numerous engineering applications, the insurance of their integrity and performance is of paramount importance. However, owing to the complex nature of these materials, the identification of fracture modes is often a tedious and time-consuming task that requires critical domain knowledge. Therefore, to alleviate these issues, this study aims to utilize modern artificial intelligence technology to automate the fractographic analysis of laminated composites. To accomplish this goal, scanning electron microscopy (SEM) images of fractured tensile test specimens are obtained from laminated composites to showcase various fracture modes. These SEM images are then categorized based on numerous fracture modes, including fiber breakage, fiber pull-out, mix-mode fracture, matrix brittle fracture, and matrix ductile fracture. Next, the collective data for all classes are divided into train, test, and validation datasets. Two state-of-the-art, deep learning-based pre-trained models, namely, DenseNet and GoogleNet, are trained to learn the discriminative features for each fracture mode. The DenseNet models shows training and testing accuracies of 94.01% and 75.49%, respectively, whereas those of the GoogleNet model are 84.55% and 54.48%, respectively. The trained deep learning models are then validated on unseen validation datasets. This validation demonstrates that the DenseNet model, owing to its deeper architecture, can extract high-quality features, resulting in 84.44% validation accuracy. This value is 36.84% higher than that of the GoogleNet model. Hence, these results affirm that the DenseNet model is effective in performing fractographic analyses of laminated composites by predicting fracture modes with high precision.