• Journal of the Korea Convergence Society
• /
• v.13 no.5
• /
• pp.401-411
• /
• 2022

The purpose of this study was to identify the convergence factors influencing learning satisfaction of nursing students in the COVID-19 pandemic after applying non-face-to-face mixed classes consisted of both real-time and non-real time distance educations. The participants were 109 nursing students who attended in a university and completed the self-report questionnaire. Data were analyzed using the SPSS 23.0 program. The results showed that the learning flow was 3.41, self-regulated learning ability was 3.75, and learning satisfaction was 3.98. Learning satisfaction showed a positive correlation with learning flow (r=.42, p<.001) and self-regulated learning ability (r=.75, p<.001). In addition, the factors influencing the learning satisfaction of the subjects of this study were self-regulated learning ability (𝛽=.662) followed by 60.6% (F=25.63, p<.001). Therefore, to enhance learning satisfaction of nursing students, it is necessary to increase their self-regulated learning abilities and to develop and apply training program considering the needs of the educational environment change in the post-COVID-19 era.

• International Journal of Precision Engineering and Manufacturing
• /
• v.3 no.1
• /
• pp.33-42
• /
• 2002

Recently, various experiments to apply reinforcement learning method to the self-learning intelligent control of continuous dynamic system have been reported in the machine learning related research community. The reports have produced mixed results of some successes and some failures, and show that the success of reinforcement learning method in application to the intelligent control of continuous control systems depends on the ability to combine proper function approximation method with temporal difference methods such as Q-learning and value iteration. One of the difficulties in using function approximation method in connection with temporal difference method is the absence of guarantee for the convergence of the algorithm. This paper provides a proof of convergence of a particular function approximation method based on \"barycentric interpolator\" which is known to be computationally more efficient than multilinear interpolation .

• Convergence Security Journal
• /
• v.5 no.2
• /
• pp.37-42
• /
• 2005

Development of Information Technology and knowledge information society transfer brought huge change of education training field. According as Ubiquitous society approaches, e-Learning will be evolving by u-Learning. This presages in other form with present that professor-learner environment may change. This study proposes and embodied administration method of various studying contents by development of Learning environment, And through operation platform analysis, proposed LMS that can do practical use of contents efficiently.

• Journal of Korea Multimedia Society
• /
• v.24 no.7
• /
• pp.890-902
• /
• 2021

Although the object detection accuracy with still images has been significantly improved with the advance of deep learning techniques, the object detection problem with video data remains as a challenging problem due to the real-time requirement and accuracy drop with occlusion. In this research, we propose a method in pig detection for video monitoring environment. First, we determine a motion, from a video data obtained from a tilted-down-view camera, based on the average size of each pig at each location with the training data, and extract key frames based on the motion information. For each key frame, we then apply YOLO, which is known to have a superior trade-off between accuracy and execution speed among many deep learning-based object detectors, in order to get pig's bounding boxes. Finally, we merge the bounding boxes between consecutive key frames in order to reduce false positive and negative cases. Based on the experiment results with a video data set obtained from a pig farm, we confirmed that the pigs could be detected with an accuracy of 97% at a processing speed of 37fps.

• Geomechanics and Engineering
• /
• v.31 no.3
• /
• pp.265-279
• /
• 2022

Tunnel convergence prediction is essential for the safe construction and design of tunnels. This study proposes five machine learning models of deep neural network (DNN), K-nearest neighbors (KNN), Gaussian process regression (GPR), support vector regression (SVR), and decision trees (DT) to predict the convergence phenomenon during or shortly after the excavation of tunnels. In this respect, a database including 650 datasets (440 for training, 110 for validation, and 100 for test) was gathered from the previously constructed tunnels. In the database, 12 effective parameters on the tunnel convergence and a target of tunnel wall convergence were considered. Both 5-fold and hold-out cross validation methods were used to analyze the predicted outcomes in the ML models. Finally, the DNN method was proposed as the most robust model. Also, to assess each parameter's contribution to the prediction problem, the backward selection method was used. The results showed that the highest and lowest impact parameters for tunnel convergence are tunnel depth and tunnel width, respectively.

• Journal of Digital Convergence
• /
• v.13 no.11
• /
• pp.71-84
• /
• 2015

The purpose of the research was to investigate the effects of the learning organization building activities on organization citizenship behavior(OCB) in business service companies providing the convergence service for the manufacturers and the moderating role of perceived organization support(POS) between the learning organization building activities and organization citizenship behavior. The data were collected from 327 employees of 31 business Service companies in metropolitan area by using structured questionnaires. Hierarchical regression technique was employed to analyze the collected data. The results showed that both of the seven learning organization building activities and POS had a positive effect on employees' OCB. Moreover, also found out the only one out of the seven learning organization building factors, namely 'Strategic Learning Leadership' had the moderate roles between learning organization building activities and OCB. Then, The results and implications of the study were discussed and the directions for future study were presented.

• Journal of the Korea Convergence Society
• /
• v.6 no.3
• /
• pp.127-134
• /
• 2015

In this paper, we design a semantic-based syllabus template including learning ontologies. A syllabus has been considered as a important blueprint of teaching in universities. However, the current syllabus has no importance in real world because most of all syllabus management systems provide simple functionalities such as, creation, modification, and retrieval. In this paper, our approach consists of definition of hierarchical structure of syllabus and semantic relationships of syllabuses, formalization of learning goals, learning activity, and learning evaluation using Bloom's taxonomy and design of learning subject ontologies for improving the usability of syllabus. We prove the correctness of our proposed methods according to implementing a real syllabus for JAVA programing course and experiments for retrieving syllabuses.

• Journal of the Korea Convergence Society
• /
• v.7 no.5
• /
• pp.155-160
• /
• 2016

The education applications for English learning have been developing consistently by utilizing the smart-phone owing to the development of internet and ICT. Smart technology based study platform, the mobile learning which enables for the students to study beyond the time and space is expected to bring forth new paradigm of education in tune with the environment change and trends. But it is found that the current applications are mostly the contents patterned for English study institution information with single channel or made for thinking study concept with only the simple language learning once they were checked. Therefore, the understanding on the English study process shall be changed and the study on the platform service is required by accessing in the viewpoint of thinking exercise learning. This study is purposed to explore the scope and strategy of mobile learning UX platform development and suggest the service model via prototype for English study.

• Journal of Convergence for Information Technology
• /
• v.9 no.2
• /
• pp.55-64
• /
• 2019

The purpose of this descriptive research is to get basic data for educational program after investigating convergent effect of psychological capital on learning satisfaction of nursing freshmen. Using SPSS 21, T-test, ANOVA, Pearson's correlation coefficient and hierarchical multiple regression of the 164 collected data were carried out. The mean scores of psychological capital and learning satisfaction were above the middle, and the 'hope' was the highest among subdomains of psychological capital. There was a positive correlation between psychological capital and learning satisfaction(r=.665, p<.001). School performance(${\beta}=.311$), school life satisfaction(${\beta}=.191$) and psychological capital(${\beta}=.522$) were the significant factors of learning satisfaction in hierarchical multiple regression(F=37.651, p=.004). The explanatory rate of variables on learning satisfaction was 57.4%. It is needed applying these results in developing learning satisfaction programs, but it isn't appropriate to generalize these results conducted on nursing freshmen in one university.

• Journal of the Korea Convergence Society
• /
• v.9 no.3
• /
• pp.173-179
• /
• 2018

The purpose of this study was to explore college students' use of learning strategies in a flipped learning class, and to examine the students' use of learning strategies in relation to their achievement levels. The participants were 33 college students who took an introduction to English education course. The study used three data collection procedures: (1) students' performance score; (2) a pre-and post-survey of student learning strategies; (3) a survey of student perception towards the flipped learning experience. Data were analyzed by using paired samples t-test and ANOVA. Results showed that the students used different learning strategies in the beginning and the end of the course, depending on their achievement levels. In particular, significant differences were found among three groups in terms of time management, concentration, selecting main idea, self-testing, and test strategies. The result indicates that learning strategies can be effectively trained and developed in the flipped learning environment with the consideration of students' levels.