• Journal of the Korean Society of Earth Science Education
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• v.13 no.2
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• pp.175-185
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• 2020

The purpose of this study is to investigate the usages and problems of distance science learning and learner behavior analysis. This study established an Sixteen-weeks period of experimental treatment from March to June 2020, and the students who participated in the study formed a research group of 128 students in 2nd grade of their advanced classes who are attending the second semester of B university of education and taking courses in 'teaching research 1'. B university of education is singleness class that doesn't have compare group, so this study is constituted only study group. The results of the study were as follows. First, The students who took science learning remotely liked using the university's LMS system. Second, it was not efficient for the faculty member's scientific data presentation to operate smoothly in the online system. Third, it is necessary to set various educational platforms as a standardized platform. Looking at the pros and cons of various platforms may vary depending on the suitability of education, but if the LMS system, which is a professional teaching support method, is upgraded to meet the needs of learners, the satisfaction of higher instructors and learners will be higher.

• School Mathematics
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• v.16 no.3
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• pp.567-584
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• 2014

Recently professional development of teaching competence is emphasized for mathematics teachers. It is necessary to teaching experience in pre-service mathematics teacher for development of teaching competence. It need to systematic self-reflection and improvement in instruction performance for development of teaching competence of pre-service mathematics teacher. That is, Theory of teaching practice for reflect thinking and practical knowledge of teaching and systemic guidance on theory and practice of teaching practice. Therefore, the aim of this study is to develop an component and application procedure of Teaching and Learning portfolio for improvement teaching component of pre-service mathematics teacher. It is effective in improving teaching component of pre-service mathematics teacher after make Teaching and Learning portfolio for improvement teaching component.

• Journal of the Korean Society for information Management
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• v.23 no.2
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• pp.207-227
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• 2006

This study aims to examine online students' informal information seeking behavior during their loaming process and online loaming environments to support their informal information needs. The participants of the study were 29 online students in the Professional Development Studies of Rutgers University. Data was collected by the questionnaire and was analyzed with content analysis and descriptive statistics. This study focuses on when and why online students need human interaction to solve their learning problems and how they communicate with others to meet their informal information needs. Moreover, how online students think about their personal communication opportunities and the functions of their online learning system to support their loaming problems is also examined. Finally, online students suggest the ways to effectively support personal communication needed during learning process in online teaming systems. Based on the findings of this study, a few considerations are suggested in conclusions.

• Journal of the Institute of Convergence Signal Processing
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• v.20 no.3
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• pp.132-137
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• 2019

The amount of data generated from medical images is increasingly exceeding the limits of professional visual analysis, and the need for automated medical image analysis is increasing. For this reason, this study evaluated the classification and accuracy according to the presence or absence of tumor using Inception V3 deep learning model, using MRI medical images showing normal and tumor findings. As a result, the accuracy of the deep learning model was 90% for the training data set and 86% for the validation data set. The loss rate was 0.56 for the training data set and 1.28 for the validation data set. In future studies, it is necessary to secure the data of publicly available medical images to improve the performance of the deep learning model and to ensure the reliability of the evaluation, and to implement modeling by improving the accuracy of labeling through labeling classification.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.6
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• pp.922-929
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• 2022

This study analyzes the effect of CAE class using PBL on professional knowledge acquisition and competency enhancement. The PBL class was applied to 3rd grade students of Dong-Eui University's Department of Automotive Engineering, and a one-year course, and a survey was conducted on satisfaction and effectiveness in the first and second semesters, respectively. With a significant difference in the survey for each semester, satisfaction in the second semester was found to be high, and satisfaction with non-face-to-face information exchange and team activities was high. In addition, it was evaluated to have a positive effect on the improvement of individual competency such as knowledge of subject, command-led learning, problem-solving ability, and communication. This study has educational implications in that it can be used as a quantitative indicator for class improvement and can be used as basic data for course operation.

• Journal of the Korean Society of Industry Convergence
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• v.27 no.2_2
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• pp.425-435
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• 2024

The purpose of this study was to identify factors influencing learning satisfaction of nursing students in online non-face-to-face classes during COVID-19 pandemic. 138 undergraduate nursing students were recruited from C nursing colleges of C city in Gyungnam. Data was collected using a self-reported online-questionnaire from 5 January to 18 January, 2022. Collected data were analyzed by SPSS/WIN 27.0 program using descriptive statistics, t-test, ANOVA, Pearson's correlation coefficient, and multiple regression. Factor influencing learning satisfaction among undergraduate nursing students on online non-face-to-face classes during COVID-19 pandemic were teaching presence(presence of teacher)(𝛽=.43, p<.001), instructional quality(content qualities)(𝛽=.41, p<.001), Satisfaction of nursing major(satisfaction)(𝛽=.13, p<.001). instructional quality(interface)(𝛽=.12, p=.036), which explained about 85.3% of total variance(F=192.78, p<.001). Therefore, in order to improve class satisfaction in online non-face-to-face classes, it is necessary to operate classes that prioritize the presence of teacher so that learners can recognize and trust the presence of teacher by passionately professional performing. And, among instructional quality, we should be strengthen the usefulness of learning materials, content factors related to tests and assignments, and strive to improve satisfaction of nursing major. In addition, it is necessary to prepare and operate classes that fully consider the interface factors related to the manual composition and system convenience for online classes among the quality factors of classes.

• International Journal of Computer Science & Network Security
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• v.23 no.12
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• pp.225-234
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• 2023

In this era of information and communication technology (ICT), tremendous improvements have been witnessed in our daily lives. The impact of these technologies is subjective and negative or positive. For instance, ICT has brought a lot of ease and versatility in our lifestyles, on the other hand, its excessive use brings around issues related to physical and mental health etc. In this study, we are bridging these both aspects by proposing the idea of AI based mental healthcare (AIMS). In this regard, we aim to provide a platform where the patient can register to the system and take consultancy by providing their assessment by means of a chatbot. The chatbot will send the gathered information to the machine learning block. The machine learning model is already trained and predicts whether the patient needs a treatment by classifying him/her based on the assessment. This information is provided to the mental health practitioner (doctor, psychologist, psychiatrist, or therapist) as clinical decision support. Eventually, the practitioner will provide his/her suggestions to the patient via the proposed system. Additionally, the proposed system prioritizes care, support, privacy, and patient autonomy, all while using a friendly chatbot interface. By using technology like natural language processing and machine learning, the system can predict a patient's condition and recommend the right professional for further help, including in-person appointments if necessary. This not only raises awareness about mental health but also makes it easier for patients to start therapy.

• Journal of the Korea Society of Computer and Information
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• v.29 no.10
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• pp.97-104
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• 2024

This paper proposes a method for classifying the grade of stainless steel using a portable NIR(Near Infrared Ray) spectrometer and a CNN(Convolutional Neural Network) deep learning model. Traditionally, methods for classifying stainless steel grades have included chemical analysis, magnetic testing, molybdenum spot tests, and portable XRF devices. In addition, a classification method using a machine learning model with element concentration and heat treatment temperature as parameters was presented in the paper. However, these methods are limited in their application to everyday products, such as kitchenware and cookware, due to the need for reagents, specialized equipment, or reliance on professional services. To address these limitations, this paper proposes a simple method for classifying the grade of stainless steel using a NIR spectrometer and a CNN model. If the method presented in this paper is installed on a portable device as an on-device in the future, it will be possible to determine the grade of stainless steel used in the product, and to determine on-site whether a product made of low-cost material has been disguised as a high-cost product.

• Cartoon and Animation Studies
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• s.36
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• pp.217-236
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• 2014

This study is a literature analytical process for studying the drawing teaching methods considering the professional characteristics of animation and a principle analytical process for studying the perspective that when teaching methods that consider the function, learning and creative mechanisms of the brain are applied, the animation drawing ability will be effectively increased. In recent years, as an alternative discussion on the educational method of each field, study results applied with brain-based learning principles are being presented. This is not only being applied and implemented for art and drawing education but as overall educational alternatives. On the other hand, animation drawing requires artistic literacy and at the same time requires comprehensive teaching methods that can train the structural knowledge, cognitive sensation and communication method but such professional teaching methods are insufficient. Therefore, the principle of effective education is seen through the brain mechanism and the principle of demonstrating the creativity and learning by the brain is analyzed. In addition, through the fundamental relationship on the picture drawing and the function of the brain, the relationship of the drawing and the brain is identified. As a result, not only for the left brain that observes the cognitive information which can draw the structure and shapes but the right brain which is directly related to the drawing should be developed, but in order to express the creativity, teaching methods that can understand the mechanism of comprehensive brain where physical and psychological factors are expressed should be also developed. It is because the animation drawing education is teaching the methods for demonstrating the characteristics of artistic creativity required for the drawing ability. This process will not only be a foundation for identifying the difference against the previous animation drawing teaching methods, and the brain-based principles will be selected as the core strategic definition for designing the strategy and methodological model of future education.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.1
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• pp.96-102
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• 2019

This study proposes basic information to make effective environments for social welfare education, revealing the reasons why students choose the social welfare major at Konyang Cyber University. We conducted qualitative research with 41 students in the social welfare department at Konyang Cyber University. The result of this research is as follows. First, most students chose their major to get a certificate that can benefit them in the near future. Second, they chose their major as a way to achieve renown, and to enhance the quality of their lives. Third, they desired to contribute to society through their social work. Finally, individual experiences and family background were also motives. Based on the research, to improve learning outcomes in social welfare education, the necessary learning strategies are as follows. First, goal-oriented learning is necessary for students who want to get the certificate. A practical curriculum needs to contain both practical skills and professional knowledge applicable to the social work field. Second, education for students who choose the major to gain fame, and to develop their lives, requires generation-integrated education to help them review their lives and find their own meaning in life. Third, education for students who choose the major for a practical social contribution has to contain volunteer training that can lead them to be professional volunteers in society. Fourth, education for students who choose the major based on their personal experiences and their family background needs to deal with case management, which discovers the recipients who need help in society and the students who can achieve visible outcomes after all.