• Journal of Engineering Education Research
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• v.19 no.2
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• pp.76-82
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• 2016

The purpose of this study is to identify core elements required of instruction consulting and to develop a systematic consulting procedure for successful Flipped Learning. The main contents of this study to achieve its purpose are as follows. First, core elements required of consulting are deduced by analyzing cases of instruction implemented with Flipped Learning. Second, consulting procedure is constructed based on core consulting elements of Flipped Learning. Based on the study results, the 3P process is suggested as the elements and procedure of instruction consulting for Flipped Learning. The 3P process has the following characteristics. The first stage Preparation involves guiding students to have an objective viewpoint about the lesson beginning with building a relationship with the instructor. Also, a lesson plan and source materials for lesson are selected and developed. The second stage Performance involves implementing lesson coaching oriented towards cooperative problem-solving to find better direction. The last stage Post-review involves introspection necessary for continuous quality improvement of lessons. The validity of the instruction consulting elements for Flipped Learning applied to deduce the aforementioned results has been verified after specialist review and field application.

• Korean Journal of Childcare and Education
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• v.17 no.1
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• pp.1-18
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• 2021

Objective: The researchers aimed to explore the 'what' and the 'how' of childcare consulting. This study was focused on finding out how child care teachers perceived the process of implementing childcare consulting and their thoughts about the transformation of childcare consulting based on their participating experience. Methods: This study was based on the transverse-continuous design using qualitative research methodology. The participants were eight experienced childcare teachers that were childcare consulting in 2015 or 2020. The data were collected through in-depth interviews. Results: The main findings in exploring meanings and implications of childcare consulting were as follows. First, childcare consulting was recognized as a process of learning about changes through mutual relationships. Second, the different ways to practice childcare consulting, the formation of the learning culture of an organization to help experience collective intelligence, the process of finding various solutions through mutual communication, and the improvement of childcare teachers' professional capabilities while reflecting the current times and context were all investigated. Conclusion/Implications: Given the findings of the study, the importance of childcare consulting, and the ways to establish its systems were discussed.

• (The) Korean Journal of Educational Psychology
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• v.32 no.1
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• pp.1-27
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• 2018

The proposes of this study were to develop the learning consulting model based on creative problem solving and to verify the effects of its implementation. The model was developed based on ADDIE program developing model. In the analysis stage, literature review and needs survey were conducted for data collection on learning consulting at universities including the literature in related fields. Specific areas needed in the learning consulting model were selected from the results of this collected data. During the design and development stage, the learning consulting processes were established. These constituted the learning consulting model developed and it had been based on the Creative Problem Solving. To verify the validity of the learning consulting model based on the creative problem solving, a pilot study was implemented. The model was completed content a validity verification process performed by experts through focus group interviews. The aim this final model is to improve the self-directed learning ability and creative problem solving capacity of the university students. The study results showed that mean scores on self-directed learning ability of the experimental group increased significantly compared to the control group. Based on these findings, the learning consulting model seemed very effective in improving the university students' self-directed learning ability, as well as their creative problem solving capacity. Based on the results of this study, implications and limitations of the final model and its implementation were discussed.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.45 no.4
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• pp.86-98
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• 2022

Recently, many studies have been conducted to improve quality by applying machine learning models to semiconductor manufacturing process data. However, in the semiconductor manufacturing process, the ratio of good products is much higher than that of defective products, so the problem of data imbalance is serious in terms of machine learning. In addition, since the number of features of data used in machine learning is very large, it is very important to perform machine learning by extracting only important features from among them to increase accuracy and utilization. This study proposes an anomaly detection methodology that can learn excellently despite data imbalance and high-dimensional characteristics of semiconductor process data. The anomaly detection methodology applies the LIME algorithm after applying the SMOTE method and the RFECV method. The proposed methodology analyzes the classification result of the anomaly classification model, detects the cause of the anomaly, and derives a semiconductor process requiring action. The proposed methodology confirmed applicability and feasibility through application of cases.

• Korean Journal of Childcare and Education
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• v.17 no.2
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• pp.29-46
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• 2021

Objective: The purpose of this study is to examine young children's social experiences during COVID-19. In this study, social experiences are defined as children's social interactions and relationships, their educational experiences, and their daily life experiences in child care centers. Methods: Participants include nine child care teachers and fifteen young children. Data were collected through semi-structured interviews with individual teachers, interviews with young children, and small group storytelling activities with young children. Results: The main findings in exploring meanings and implications of childcare consulting were as follows. First, childcare consulting was recognized as a process of learning about changes through mutual relationships. Second, the different ways to practice childcare consulting, the formation of the learning culture of an organization to help experience collective intelligence, the process of finding various solutions through mutual communication, and the improvement of childcare teachers' professional capabilities while reflecting the current times and context were all investigated. Conclusion/Implications: Given the findings of the study, the importance of childcare consulting, and the ways to establish its systems were discussed.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.36 no.2
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• pp.49-55
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• 2013

When developing a product, ensuring the quality and reliability is essential. Reliability process is always underestimated compared to its importance, especially in the field of domestic medical devices. In this paper, reliability process developed for near-infrared solid microscope, based on a variety of existing practices and other product process. The following findings were obtained as research progressed. First, learning about the medical equipment needed to assure the quality and reliability standards. Second, reliability process established to design a product in the field of medical devices.

• Industrial Engineering and Management Systems
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• v.2 no.1
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• pp.45-54
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• 2003

Enterprise Resource Planning(ERP) systems offer pervasive business functionality the applications encompass virtually all aspects of the business. Understanding and managing this pervasiveness will result in a successful and productive business application platform. Because of this pervasiveness, implementations have ranged from great successes to complete failures. This article has two distinctive parts. The first proposes and discusses a systematic process based on consulting experiences of LG CNS (leading information system company in Korea) for ERP selection. Also, the second provides the key factors that are critical to the successful implementation of ERP. The second part reports the results of a study carried out to assess a number of different ERP implementations in different organizations. A case study method of investigation was used, and the experiences of five Korean manufacturing companies were documented. The critical factors in the adoption of ERP are identified as: learning from the experiences of others, appointment of a process innovator, establishment of committees and project teams, training and technical support for the users, and appropriate changes to the organizational structure and managerial responsibilities.

• The Journal of the Korea Contents Association
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• v.14 no.4
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• pp.425-434
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• 2014

This study aims to analyze school management consultants' competency from the perspective of professional and prospective consultants and to draw implications for their competency building and work. To achieve the purpose of this study, an importance survey and a retention survey of school management consultants' competency were performed. The main results are as follows: school management consultants' key competencies are concept, background and principle of school management consulting, process and method of school management consulting, contents of school management, listening and empathy, communication, problem solving, teamwork and collaboration, interpersonal skills, authenticity, commitment. Professional and prospective consultants' perception of school management consultants' competency were different, and importance and retention of prospective consultants' competency changed through the consulting experience. It is significant that the result of this study can be reflected in school management consultants' training and qualification and conform the 'learning' principle of school management consulting.

• Asia pacific journal of information systems
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• v.29 no.4
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• pp.789-816
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• 2019

Text classification is a challenging task, especially when dealing with a huge amount of text data. The performance of a classification model can be varied depending on what type of words contained in the document corpus and what type of features generated for classification. Aside from proposing a new modified version of the existing algorithm or creating a new algorithm, we attempt to modify the use of data. The classifier performance is usually affected by the quality of learning data as the classifier is built based on these training data. We assume that the data from different domains might have different characteristics of noise, which can be utilized in the process of learning the classifier. Therefore, we attempt to enhance the robustness of the classifier by injecting the heterogeneous data artificially into the learning process in order to improve the classification accuracy. Semi-supervised approach was applied for utilizing the heterogeneous data in the process of learning the document classifier. However, the performance of document classifier might be degraded by the unlabeled data. Therefore, we further proposed an algorithm to extract only the documents that contribute to the accuracy improvement of the classifier.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.4
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• pp.580-586
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• 2021

The CAT methodology is a numerical analysis technique using CAE. Recently, a methodology of applying artificial intelligence techniques to a simulation has been studied. A previous study compared the deformation results according to the injection molding process using a machine learning technique. Although MLP has excellent prediction performance, it lacks an explanation of the decision process and is like a black box. In this study, data was generated using Autodesk Moldflow 2018, an injection molding analysis software. Several Machine Learning Algorithms models were developed using RapidMiner version 9.5, a machine learning platform software, and the root mean square error was compared. The decision-tree showed better prediction performance than other machine learning techniques with the RMSE values. The classification criterion can be increased according to the Maximal Depth that determines the size of the Decision-tree, but the complexity also increases. The simulation showed that by selecting an intermediate value that satisfies the constraint based on the changed position, there was 7.7% improvement compared to the previous simulation.