• Journal of the Korean Institute of Intelligent Systems
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• v.15 no.4
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• pp.457-466
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• 2005

In this paper, we propose a wavelet neural network(WNN) based predictive control method for path tracking of mobile robots with multi-input and multi-output. In our control method, we use a WNN as a state predictor which combines the capability of artificial neural networks in learning processes and the capability of wavelet decomposition. A WNN predictor is tuned to minimize errors between the WNN outputs and the states of mobile robot using the gradient descent rule. And control signals, linear velocity and angular velocity, are calculated to minimize the predefined cost function using errors between the reference states and the predicted states. Through a computer simulation for the tracking performance according to varied track, we demonstrate the efficiency and the feasibility of our predictive control system.

• Journal of the Korea Society of Computer and Information
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• v.4 no.4
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• pp.120-125
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• 1999

This paper is a study on the cyber education center, OpenEdu, developing on internet. The conventional cyber university is allowed for ID user only, but OpenEdu is opened all internet user for open education and it has a various content. free of charge and high quality. Also. in this system, we support the various 500 contents, other efficiently services and it is a self-learning(asynchronous) distance education application(HTML, PDF. Front Page) on cyber-space using the information super highway It will make the cyber education center from new paradigm of distance education. The purpose of OPenEdu provides a async. distance education service, free of charge to obtain many various contents on internet. The future study is enhanced user interface and upgraded content quality.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.22 no.4
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• pp.115-131
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• 2011

The purpose of this study is to provide self-evaluation indicators that each school could judge on its basic conditions for the school library opening to local community. School library opening to local community is one of the significantly operational strategies to contribute to the development of the learning community. But the school library has insufficient resources and support system for their local services. According to the survey teacher librarians who have the experience for their school library opening to local community have considered of deploying teacher librarian as the most important factor. And they asserted emphatically that school library would secure personnel expenses and obtain facilities and resources to provide the stable and systematic service. Also among the school library's educational activities, reading education is considered the most suitable program for the community.

• Korean Medical Education Review
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• v.19 no.3
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• pp.134-137
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• 2017

The main points of issue with the former premedical curriculum of Seoul National University College of Medicine (SNUCM) were the absence of educational objectives, decline in student motivation caused by uniform education, students' lack of a sense of belonging, and lack of humanistic education. In accordance with these issues, there were five aspects considered for the improvement of the premedical curriculum: reform based on the newly established educational objectives that corresponds with the 6-year medical school curriculum as a whole, expansion of elective courses and the development of personalized curriculum for the improvement of students' learning motives, expansion of social sciences and humanities curriculum for the development of students' capabilities as good doctors, active participation of medical professors in premedical education, and expansion of informal education and the student support program. According to the assessment done after the implementation of the reformed curriculum, premedical students were gratified with its establishment and management of multifarious liberal arts and major subjects. In preparation of the more rigorous entrance quota of the premedical school at SNUCM, there is ongoing reform of required major subjects and establishment of new subjects in the premedical curriculum in pursuit of unity with the 6-year medical curriculum. Moreover, there is ongoing development of an e-portfolio system for the association of premedical and medical education, integration of formal and informal curriculum, and reinforcement of student observation and formative evaluation. Further discussion on the assessment and betterment of premedical curriculum is needed.

• Journal of dental hygiene science
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• v.20 no.1
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• pp.16-24
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• 2020

Background: Dental treatment has shifted to the center of the community, and the public policy of the country has expanded to support the vulnerable classes such as the disabled. The dental profession needs education regarding oral health services for persons with disabilities, and it is necessary to derive the competencies for this. Therefore, we conducted this study to derive the normative ability to understand the role of a dental hygienist in the oral health service for persons with disabilities and improvement plans for education. Methods: We conducted a qualitative analysis for deriving competencies by analyzing the data collected through in-depth interviews with experts in order to obtain abilities through practical experience. Based on the competency criterion, relevant competency in the interview response was derived using the priori method, and it was confirmed whether the derived ability matched the ability determined by the respondent. Results: The professional conduct competencies of dental hygienists, devised by the Korean Association of Dental Hygiene, consists of professional behavior, ethical decision-making, self-assessment skills, lifelong learning, and accumulated evidence. Also, core competencies of the American Dental Education Association competencies for dental hygienist classification such as ethics, responsibility for professional actions, and critical thinking skills were used as the criterion. The dental hygienist's abilities needed for oral health care for people with disabilities, especially in the detailed abilities to fulfill these social needs, were clarified. Conclusion: To activate oral health care for people with disabilities, it is necessary for dental hygienists to fulfill their appropriate roles, and for this purpose, competency-based curriculum restructuring is indispensable. A social safety net for improving the oral health of people with disabilities can be secured by improving the required skills-based education system of dental hygienists and strengthening the related infrastructure.

• Korean Journal of Childcare and Education
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• v.12 no.4
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• pp.23-40
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• 2016

The purposes of this study were 1) to examine the differences in job stress, teacher efficacy, emotion-focused coping strategies and depression of teachers in early childhood education and care according to their demographic backgrounds, 2) to investigate the influences of these variables on depression. 586 teachers in ECEC answered the questionnaires and the collected data were analyzed through frequence, percentages, Pearson's correlations, One-Way ANOVA, Bonferroni post hoc test, and stepwise regression using SPSS 21.0. The findings are as follows. First, job stress was significantly different according to ECEC teachers' ages and types of centers they were employed at teacher efficacy was significantly different according to their ages and education levels, emotion-focused coping strategies and depression were respectively significantly different according to ages, types of centers and education levels. Second, ECEC teachers' depression was influenced by undercontrolled expressionof emotion-focused coping strategies, home connection and promotion of positive learning environment of teacher efficacy, undercontrolled thinkingof emotion-focused coping strategies and work overload and job stress in order. These results imply that a support system and a policy should be established for ECEC teachers to express and understand their emotions in a positive way and related information should be provided to them through workshops.

• Journal of Industrial Convergence
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• v.17 no.3
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• pp.39-49
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• 2019

This study, as a study on building platforms for smart campus ecosystem, took an approach that reflected the needs of various stakeholders of smart campus, and focused on functions to help them strengthen their competitiveness and advance into society by focusing on the learning of the most important university student users, college life, and social connection. First, we looked at the theories related to smart campus construction through prior research, and next, through domestic and international environmental analysis and trend analysis, we designed and presented a target model for e-portfolio focusing on core competency development and support system for Industry-Academic Cooperation, and proposed the main point for continuous smart campus development model.

• Journal of the Korea Convergence Society
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• v.12 no.10
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• pp.365-372
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• 2021

The purpose of this study was to examine the statements characteristics of the pressure ulcer nursing record by natural langage processing and assess the prediction accuracy for each pressure ulcer stage. Nursing records related to pressure ulcer were analyzed using descriptive statistics, and word cloud generators (http://wordcloud.kr) were used to examine the characteristics of words in the pressure ulcer prevention nursing records. The accuracy ratio for the pressure ulcer stage was calculated using deep learning. As a result of the study, the second stage and the deep tissue injury suspected were 23.1% and 23.0%, respectively, and the most frequent key words were erythema, blisters, bark, area, and size. The stages with high prediction accuracy were in the order of stage 0, deep tissue injury suspected, and stage 2. These results suggest that it can be developed as a clinical decision support system available to practice for nurses at the pressure ulcer prevention care.

• KIPS Transactions on Software and Data Engineering
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• v.10 no.11
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• pp.529-534
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• 2021

Computing thinking is regarded as one of the important skills required in the 21st century, and many countries have introduced and implemented computing thinking training courses. Among computational thinking education methods, educational game-based methods increase student participation and motivation, and increase access to computational thinking. Autothinking is an educational game developed for the purpose of providing computational thinking education to learners. It is an adaptive system that dynamically provides feedback to learners and automatically adjusts the difficulty according to the learner's computational thinking ability. However, because the game was designed based on rules, it cannot intelligently consider the computational thinking of learners or give feedback. In this study, game data collected through Autothikning is introduced, and game score prediction that reflects computational thinking is performed in order to increase the adaptability of the game by using it. To solve this problem, a comparative study was conducted on linear regression, decision tree, random forest, and support vector machine algorithms, which are most commonly used in regression problems. As a result of the study, the linear regression method showed the best performance in predicting game scores.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.12
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• pp.3836-3854
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• 2022

The student group division is benefit for universities to do the student management based on the group profile. With the widespread use of student smart cards on campus, especially where students living in campus residence halls, students' daily activities on campus are recorded with information such as smart card swiping time and location. Therefore, it is feasible to depict the students with the daily activity data and accordingly group students based on objective measuring from their campus behavior with some regular student attributions collected in the management system. However, it is challenge in feature representation due to diverse forms of the student data. To effectively and comprehensively represent students' behaviors for further student group division, we proposed to adopt activity data from student smart cards and student attributes as input data with taking account of activity and attribution relationship types from different perspective. Specially, we propose a novel student group division method based on a multi-view student attribute heterogeneous information network (MSA-HIN). The network nodes in our proposed MSA-HIN represent students with their multi-dimensional attribute information. Meanwhile, the edges are constructed to characterize student different relationships, such as co-major, co-occurrence, and co-borrowing books. Based on the MSA-HIN, embedded representations of students are learned and a deep graph cluster algorithm is applied to divide students into groups. Comparative experiments have been done on a real-life campus dataset collected from a university. The experimental results demonstrate that our method can effectively reveal the variability of student attributes and relationships and accordingly achieves the best clustering results for group division.