• Journal of the Korean Society of Clothing and Textiles
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• v.16 no.1 s.41
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• pp.137-146
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• 1992

As a preliminary work for the interrelations between individuals' learning style and their consumer decision-making styles in purchasing apparel, its theoretical backgrounds were reviewed. Several major approaches to measuring and characterizing learning styles were theories of Hunt, Schroder, Kolb, and sproles. - Relevant literature suggests several consumer decision-making styles including Morchis' and Sproles'. Researches on the practical' implication of theoretical learning styles model in the area of consumer decision-making styles were also explored.

• The Pure and Applied Mathematics
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• v.24 no.4
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• pp.211-226
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• 2017

In this paper, machine learning models employed in various fields are discussed and applied to KOSPI200 stock index return forecasting. The results of hyperparameter analysis of the machine learning models are also reported and practical methods for each model are presented. As a result of the analysis, Support Vector Machine and Artificial Neural Network showed a better performance than k-Nearest Neighbor and Random Forest.

• Korean Journal of Clinical Pharmacy
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• v.27 no.2
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• pp.55-62
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• 2017

Experiential education is a core curriculum of pharmacy education. In experiential education, formative feedback is an integral component of learning and teaching process. Feedback is defined as information provided by a preceptor regarding student's performance based on direct observation. With effective feedback, students can have opportunities to reinforce or correct behaviors and to acquire knowledge or skills. Students highly value and appreciate feedback. They rank provision of effective feedback as one of the most important qualities of preceptors. Preceptors, however, lack an understanding of feedback or practical skills necessary for providing effective feedback. As a result in reality, the feedback provided to students can be differentially effective in improving students' learning. This article describes a theoretical understanding of feedback including definition and value, as well as types of feedback. In addition, practical aspects in providing feedback, such as contents, timing, techniques, and models, are addressed. By understanding the value of feedback and mastering various feedback skills, preceptors will promote students' learning and enhance educational outcomes of experiential education.

• Journal of the Semiconductor & Display Technology
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• v.18 no.3
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• pp.25-30
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• 2019

In this paper, we have analyzed manufacturing problems of the scaffold with pores using FDM 3D printer and PLGA. We suggested the solutions using 3SC practical TRIZ. We selected the final solution used machine learning. We reduced number of experiments using most influential factor after analysis print factors. We printed the scaffold and measured pore size. We created the regression model using python tensorflow. The print condition data of measured pore size was used as training data. We predicted the pore size of printed condition using regression model. We printed the scaffold using the predicted the print condition data. We quantitatively compare the predicted scaffold pore size data and the measured scaffold pore size data. We got satisfactory result.

• The Transactions of the Korean Institute of Electrical Engineers
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• v.43 no.5
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• pp.838-847
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• 1994

Although there is an analytical proof of modeling capability of the neural network, the convergency error in nonlinearity modeling is inevitable, since the steepest descent based practical larning algorithms do not guarantee the convergency of modeling error. Therefore, it is difficult to apply the neural network to control system in critical environments under an on-line learning scheme. Although the convergency of modeling error of a neural network is not guatranteed in the practical learning algorithms, the convergency, or boundedness of tracking error of the control system can be achieved if a proper feedback control law is combined with the neural network model to solve the problem of modeling error. In this paper, the neural network is introduced for compensating a system uncertainty to control a nonlinear dynamic system. And for suppressing inevitable modeling error of the neural network, an iterative neural network learning control algorithm is proposed as a virtual on-line realization of the Adaptive Variable Structure Controller. The efficiency of the proposed control scheme is verified from computer simulation on dynamics control of a 2 link robot manipulator.

• International Journal of Computer Science & Network Security
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• v.23 no.4
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• pp.134-138
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• 2023

The field of digital forensics requires good theoretical and practical knowledge, so practitioners should have an in-depth understanding and knowledge of both theory and practical as they need to take decisions which impacts human lives. With the demand and advancements in the realm of digital forensics, many universities around the globe are offering digital forensics programs, but there is a huge gap between the skills acquired by the student's and the market needs. This research work explores the problems faced by digital forensics programs, and provides solution to overcome the gap between the skills acquired by the student's and the market needs using Activity led learning pedagogy for digital forensics programs.

• Physical Therapy Rehabilitation Science
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• v.13 no.1
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• pp.18-25
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• 2024

Objective: This study is a single-group pre-post experimental study to determine the effects of simulation-based practice education on nursing students' self-efficacy, performance confidence, and educational satisfaction. Design: Single-group pre-post experimental studies Methods: This study was conducted from September 1, 2023 to November 30, 2023 for nursing undergraduate students in a simulation based practical education program. The subjects were provided with learning materials about an acute myocardial infarction case with chest pain for preliminary learning. After that, they were divided into teams of 6 people and asked to do self-study for 2 hours per team, twice a week, before conducting simulation practice. For the simulation based practical education, the participants were divided into 9 teams of 6 people each, and each team had 10 minutes for orientation, 15 minutes for scenario operation, and 50 minutes for debriefing. Results: After the simulation based practical education, self-efficacy increased statistically significantly from a mean of 3.51 before training to a mean of 3.80 after training (t=-2.12, p=0.038). However, there was no significant difference in performance confidence. There was a significant positive correlation between self-efficacy and performance confidence (r=0.62, p<0.001) and training satisfaction (r=0.67, p<0.001) after the simulation based practical education. Self-confidence was also significantly correlated with educational satisfaction (r=0.76, p<0.001). Conclusions: The results of this study showed that utilizing simulation-based practical education can increase nursing students' self-efficacy, which positively affects their performance confidence and educational satisfaction. Therefore, simulation-based practical education is an effective nursing education method that can improve nursing students' practical skills.

• The Journal of Korean Institute for Practical Engineering Education
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• v.4 no.2
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• pp.46-52
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• 2012

In this study, middle school students, from 1st to 3rd grade, who already completed section of the 'force and motion' are targets. Based on the survey of the students following conclusions are obtained using by 'before and after' of repetition learning. First, through the pre-test results and measured the degree of concept, repetition learning was found to be effective. Second, through the post-survey after repetition learning science concerning was increased rather than before learning. Improved confidence through the repetition learning effect should contribute learning effect.

• Educational Technology International
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• v.22 no.2
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• pp.169-197
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• 2021

Learning agility as high potentials is drawing attention as a competency for leading an uncertain future society. The present study aims to determine the factors of learning agility in higher education context for future society. To address this goal, Major factors related to learning agility were derived through literature review and statistically verified. For statistical analysis, the nationwide data were collected from 1,000 undergraduate students in South Korea by National Youth Policy Institute. The participants asked to answer 29 items of learning agility questionnaires (LAQ). The collected data were analyzed by descriptive statistical analysis, exploratory factor analysis, and confirmatory factor analysis. As a result, learning agility items were verified normality and reliability. Learning agility was identified seven factors; challenging mind, learning responsibility, reflecting experience, intellectual curiosity, systemic thinking, change adaptability, and logical thinking. Also, the structural model fit of the seven factors of learning agility was also confirmed to be good. Based on the findings of the present study, empirical, theoretical, and practical contributions were presented, and suggestions for further research were proposed in detail.

• International Journal of Internet, Broadcasting and Communication
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• v.15 no.1
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• pp.8-12
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• 2023

With the recent expansion of online lectures, studies on their effectiveness and their influencing factors have increased. This study examines the factors affecting the satisfaction of online classes, considering the utilization and importance of online lectures, which have greatly increased in recent years. Based on the review of previous studies, this study identified learning presence, self-efficacy, and learning immersion as factors affecting the satisfaction of online classes, and suggested hypotheses that explain the relationship between these factors, and empirically reviewed the hypotheses. As a result of the study, it was found that learning presence and self-efficacy had a positive effect on learning immersion, and learning immersion had a positive effect on learning satisfaction. Based on the research results, some practical implications for improving the satisfaction of online classes were suggested.