• International Journal of Advanced Culture Technology
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• v.9 no.4
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• pp.162-168
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• 2021

This is a group pretest-posttest design study that aim to evaluate the effect of problem-based learning using flipped learning to self leadership, nursing leadership, and confidence of nursing students. The subjects were 87 4th nursing students who took nursing management from March 15 to April 26, 2021. A questionnaire was used to measure self leadership, nursing leadership, and confidence. The measurement of self leadership is a 5-point Likert scale that employs a questionnaire. Flipped learning uploaded a 5-8 minute lecture video, and the subjects learned on learning management system, using smart device. PBL teaching was developed about personal growth, cooperation, nursing excellence, creative problem solving, influence. As a result of the study, self leadership was significantly improved after education than before education(t=-6.27, p<.001). Nursing leadership and confidence were significantly changed before and after education(t=-16.10, p<.001; t=-2.37, p<.001). According to the results of this study, the PBL teaching method using flipped learning is an effective teaching and learning strategy for improving leadership, and confidence. In future studies, it will be necessary to develope and verify specific teaching and learning methods by applying nursing experts in consideration of the type of leadership.

• Smart Media Journal
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• v.8 no.1
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• pp.74-81
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• 2019

Recently, machine learning technology has had a significant impact on society, particularly in the medical, manufacturing, marketing, finance, broadcasting, and agricultural aspects of human lives. In this paper, we study how to apply machine learning techniques to foods, which have the greatest influence on the human survival. In the field of Smart Farm, which integrates the Internet of Things (IoT) technology into agriculture, we focus on optimizing the crop growth environment by monitoring the growth environment in real time. KT Smart Farm Solution 2.0 has adopted machine learning to optimize temperature and humidity in the greenhouse. Most existing smart farm businesses mainly focus on controlling the growth environment and improving productivity. On the other hand, in this study, we are studying how to apply machine learning with respect to harvest time so that we will be able to harvest fruits of the highest quality and ship them at an excellent cost. In order to apply machine learning techniques to the field of smart farms, it is important to acquire abundant voluminous data. Therefore, to apply accurate machine learning technology, it is necessary to continuously collect large data. Therefore, the color, value, internal temperature, and moisture of greenhouse-grown fruits are collected and secured in real time using color, weight, and temperature/humidity sensors. The proposed FPSML provides an architecture that can be used repeatedly for a similar fruit crop. It allows for a more accurate harvest time as massive data is accumulated continuously.

• Journal of the Semiconductor & Display Technology
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• v.20 no.3
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• pp.131-135
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• 2021

Numbers of studies related to optimization of design of organic light emitting diodes(OLED) through machine learning are increasing. We propose the generative method of the image to assess the performance of the device combining with machine learning technique. Principle parameter regarding dark spot growth mechanism of the OLED can be the key factor to determine the long-time performance. Captured images from actual device and randomly generated images at specific time and initial pinhole state are fed into the deep neural network system. The simulation reinforced by the machine learning technique can predict the device parameters accurately and faster. Similarly, the inverse design using multiple layer perceptron(MLP) system can infer the initial degradation factors at manufacturing with given device parameter to feedback the design of manufacturing process.

• The Journal of the Korea Contents Association
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• v.18 no.11
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• pp.393-405
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• 2018

Problem-Based Learning (PBL) is a student-centered pedagogy that integrates nursing knowledge, skills, and attitudes into clinical nursing practice. This pilot aims to apply a PBL module on preschoolers' growth and development in the nursing curriculum. This quantitative study was performed to develop a PBL module following Dick and Carye's program development process (planning, development, application, and evaluation phases), and to evaluate its effects using structured questionnaires among sophomore nursing students. These students formed teams of four or five people each and spent 40 minutes participating in the PBL module. Data were analyzed using descriptive statistics, t-tests, and content analysis. Metacognition level increased significantly. There was no significant difference in team efficacy between pre-test and post-test. Post-test learning satisfaction was high. Students reported obtaining knowledge and problem-solving ability with respect to preschoolers' growth and development and were satisfied with teamwork. This finding offers fundamental knowledge concerning the application of a PBL module in nursing curricula.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.14 no.5
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• pp.2101-2121
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• 2020

The rapid growth of instructional videos repositories and their widespread use as a tool to support education have raised the need of studies to assess the quality of those educational resources and their impact on the quality of learning process that depends on them. Khan Academy (KA) repository is one of the prominent educational videos' repositories. It is famous and widely used by different types of learners, students and teachers. To better understand its characteristics and the impact of such repositories on education, we gathered a huge amount of KA data using its API and different web scraping techniques, then we analyzed them. This paper reports the first quantitative and descriptive analysis of Khan Academy repository (KA repository) of open video lessons. First, we described the structure of repository. Then, we demonstrated some analyses highlighting content-based growth and evolution. Those descriptive analyses spotted the main important findings in KA repository. Finally, we focused on users' interactions with video lessons. Those interactions consisted of questions and answers posted on videos. We developed interaction profiles for those videos based on the number of users' interactions. We conducted regression analysis and statistical tests to mine the relation between those profiles and some quality related proposed metrics. The results of analysis showed that all interaction profiles are highly affected by video length and reuse rate in different subjects. We believe that our study demonstrated in this paper provides valuable information in understanding the logic and the learning mechanism inside learning repositories, which can have major impacts on the education field in general, and particularly on the informal learning process and the instructional design process. This study can be considered as one of the first quantitative studies to shed the light on Khan Academy as an open educational resources (OER) repository. The results presented in this paper are crucial in understanding KA videos repository, its characteristics and its impact on education.

• Proceedings of the Korea Contents Association Conference
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• 2006.11a
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• pp.776-779
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• 2006

Today, It has developed actively e-learning according to web without time and place which increase of PC user with super-highway information network and various up-to-date information rapid growth. It has to provide the chance to student which will be able to practice and to think free and originative under liberal learning environment that learner can compose knowledge through various thinking by themselves. From the present paper, I would design e-learning system using TGT model of cooperative e-learning system that more effective studying through advantage of e-learning studying. I look forward to helping improvement of student's real ability as embody competitive games method by TGT model's basic theory of web-based.

• Journal of Korea Technology Innovation Society
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• v.4 no.1
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• pp.32-48
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• 2001

Many Korean companies have grown up through technology import, learning, development, innovation and export. This process is called as "the dynamic development process of technology". Among many companies which have grown up by way of this process, the Hyundai Motor Company has shown a very remarkable achievement in technological growth. In short, this paper deals with the growth of Korean companies in the view of the dynamic development process of technology. As a case study, the paper analyzes the Hyundai Motor Company.r Company.

• The Journal of the Korea Contents Association
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• v.8 no.5
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• pp.260-267
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• 2008

The portfolio provides a method which can properly evaluate the student's long term period of learning and growth, and this allows students to have practical learning through self-reflection. However, following the realities of portfolio's operation, the portfolio is being operated formally just once only for the evaluation due to the difficulty of long custody and its time-consuming process. In this paper, after grasping the overall process of learning and the result of growth, we design the 'e-portfolio' which combines both learning and evaluation in order to minimize the physical constraint factors along with operating portfolio. After operating our newly designed 'e-portfolio' based on blog in order to verify it's effect, we found the meaningful changes in student's academic achievement and the positive possibility of its application to teachers. Therefore, with the operation of our suggested 'e-portfolio', we are expecting progressed and integrated portfolio education which combines the function of the learning and the evaluation.

• Journal of Digital Convergence
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• v.15 no.4
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• pp.243-250
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• 2017

Since the global financial crisis in 2008, countries around the world have emphasized the activation of entrepreneurship and entrepreneurship as essential strategies for survival. In the case of developed countries, the United States, the European Union and China actively promote entrepreneurship and entrepreneurship. In Korea, on the other hand, the importance of entrepreneurship is emphasized by stagnating growth of companies and strengthening their competitiveness through convergence within companies or companies. The purpose of this study is to investigate the relationship between entrepreneurship and learning orientation in order to enhance competitiveness of Korean companies and to be the basis of management strategy for growth of convergence companies based on this. For the progress of this study, the convergence companies were targeted and the hypothesis was verified through the questionnaire survey through the statistical program. The results of the study showed that Innovation influenced learning orientation. Second, Initiative was found to affect learning orientation. Finally, it is shown that risk sensitivity does not affect learning orientation.

• Journal of vocational education research
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• v.37 no.6
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• pp.16-35
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• 2018

The purpose of this study is to investigate the mediating effect of 'self-esteem' between 'learning agility' and 'university life adaptation' in university students of non-metropolitan areas. The results of the empirical analysis are as follows. First, 'self-awareness' and 'growth-oriented' of learning agility was influenced on university life adaptation positively. Second, 'self-esteem' was found to have a mediating effect between learning agility and university life adaptation. The results of the above study indicated that 'self-awareness' and 'growth-oriented' of learning agility and 'self-esteem' was important factors on university life adaptation in non-metropolitan university students. Based on the above research results, the theoretical and practical implications was suggested.