• Title/Summary/Keyword: learning consulting model

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Development and Implementation Effect of a Learning Consulting Model Based on Creative Problem Solving for University Students (대학생을 위한 창의적 문제해결 기반 학습컨설팅 모형 개발 및 적용효과)

  • Jung, Se Young;Kim, Jungsub
    • (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.

The Development and Effects of a Preventative Learning Consultation Program for University Underachievers (학습부진 대학생을 위한 예방적 학습컨설팅 프로그램 개발과 효과)

  • Yune, So-Jung
    • Journal of Fisheries and Marine Sciences Education
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    • v.25 no.3
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    • pp.643-660
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    • 2013
  • The numbers of learning underachievers in college are gradually increasing. As a result, the need for extracurricular programs to increase learning in college is also growing. The purpose of this study was to analyze factors of learning difficulty and develop a model of learning consulting for college underachievers. This study also aimed to evaluate this model's validity. Using both 56 subscription forms of college underachievers and three sets of focus group interviews at B university, we found that students had difficulties in goal and career setting, management of grades and tests, learning methods, time management, failure overcome ability, lack of learning habit sustaining power and learning motivation, and so on. We developed a model of learning consulting for college underachievers based on these factors and applied the model to evaluate it's validity, testing it on 31 underachievers currently enrolled in college, five times every week. Let we say in conclusion that this model of learning consulting had positive effects on changing college underachiever's character, emotion, motivation, and behavior towards learning.

Development of flipped learning course model based on instructor coaching (교수자 코칭에 기반한 대학의 플립러닝강좌 개발 모델)

  • Kim, EunHee;Byun, HoSeung
    • The Journal of Korean Association of Computer Education
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    • v.21 no.4
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    • pp.39-52
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    • 2018
  • There has been a lot of interest in flipped learning, but lacked practical research to support the faculty developing flipped learning courses in higher education institutions. The purpose of this study is to develop a consulting model for developing a flipped learning course that can be practically used by institutions such as center for teaching and learning that support faculty teaching to improve the quality of instruction. A 'Coaching based on flip learning course development consulting model' was derived through literature review and expert feedback. The 8-step model is as follows: 1) survey of class development, 2) course orientation, 3) flipped learning, 4) expert class analysis, 5) flipped learning coaching, 6) flipped learning operation, 7) instructor reflection, and 8) feedback and revision. Based on the results of this study, it is possible to provide professional and practical guide systematically, and also help to improve quality of lesson.

The Importance of Knowledge Produced in the Management Consulting Sector -A Perspective Analysis related to the research field of Strategy-as-Practice

  • da Costa, Renato Lopes;Antonio, Nelson Santos
    • East Asian Journal of Business Economics (EAJBE)
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    • v.2 no.3
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    • pp.1-17
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    • 2014
  • Although management consulting activities have obtained a considerable growth in terms of economic significance in recent years, these results have not been duly followed by a greater number of conceptual and empirical research in this area. In order to fight the lack of studies on the actual work of management consultants, this article aims at answer some questions that remain open. Is management consulting an intensive and specialized knowledge activity? Are there knowledge and learning key success factors in this area? Are consultants the real experts and the true practitioners of strategy as practice? The results of the empirical analysis in the form of semi-structured interviews and questionnaires given to management consultants and SME managers in Portugal shows that management consulting is founded on a knowledge-intensive base, although consultants cannot be called strategy practitioners as many authors call them. This is illustrated by the Portuguese model of determinants that constitute the management consulting industry presented in this article, which means this proposition is a new direction in strategic thinking in what the field's research strategy-as-practice concerns.

Developing a Model for Predicting Success of Machine Learning based Health Consulting (머신러닝 기반 건강컨설팅 성공여부 예측모형 개발)

  • Lee, Sang Ho;Song, Tae-Min
    • Journal of Information Technology Services
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    • v.17 no.1
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    • pp.91-103
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    • 2018
  • This study developed a prediction model using machine learning technology and predicted the success of health consulting by using life log data generated through u-Health service. The model index of the Random Forest model was the highest using. As a result of analyzing the Random Forest model, blood pressure was the most influential factor in the success or failure of metabolic syndrome in the subjects of u-Health service, followed by triglycerides, body weight, blood sugar, high cholesterol, and medication appear. muscular, basal metabolic rate and high-density lipoprotein cholesterol were increased; waist circumference, Blood sugar and triglyceride were decreased. Further, biometrics and health behavior improved. After nine months of u-health services, the number of subjects with four or more factors for metabolic syndrome decreased by 28.6%; 3.7% of regular drinkers stopped drinking; 23.2% of subjects who rarely exercised began to exercise twice a week or more; and 20.0% of smokers stopped smoking. If the predictive model developed in this study is linked with CBR, it can be used as case study data of CBR with high probability of success in the prediction model to improve the compliance of the subject and to improve the qualitative effect of counseling for the improvement of the metabolic syndrome.

Application of Instruction Consulting to Improve the Elementary Preservice Teachers' Professionalism for Inquiry-based Classes (초등 예비 교사들의 탐구 수업 지도 전문성 향상을 위한 수업 컨설팅의 적용)

  • Park, Jae-Keun;Noh, Suk-Goo
    • Journal of Korean Elementary Science Education
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    • v.30 no.2
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    • pp.152-161
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    • 2011
  • The purpose of this study is to diagnose difficulties and problems that the preservice teachers experience when teaching inquiry-based classes in elementary science and to improve their professionalism through prescriptive instruction consulting utilizing PDRE (preparation, diagnosis, reflective implementation, evaluation) model. The result of this study was as follows. First, preservice teachers considered themselves to be lack of scientific knowledge, but this study confirmed that the application of instruction consulting improved their understandings in scientific concepts and principles and corrected their misconceptions. Second, preservice teachers experienced difficulties in variables that might influence the results of experiments, cautions for the experiments and unexpected results of experiments, and this consulting allowed them to gain instruction ability to cope with such circumstances and solve problems effectively. Third, preservice teachers experienced difficulties in applying instructional model into their classes and preparing lesson plans, but consulting actually made limited but positive changes in their abilities. However, from a longer-term perspective, quantitative increase in their teaching opportunities, the development and distribution of example manuals, and the utilization of various class materials provided by the assistant centers for teaching and learning should be achieved side by side.

Anomaly Detection Model Based on Semi-Supervised Learning Using LIME: Focusing on Semiconductor Process (LIME을 활용한 준지도 학습 기반 이상 탐지 모델: 반도체 공정을 중심으로)

  • Kang-Min An;Ju-Eun Shin;Dong Hyun Baek
    • 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.

The Effect of Emotional Intelligence on Job Satisfaction: A Case Study of SME Management Consultants in Korea

  • KIM, Dae Kyoo;KIM, Bo Young
    • The Journal of Asian Finance, Economics and Business
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    • v.8 no.5
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    • pp.1129-1138
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    • 2021
  • SMEs are constantly demanded of changes in the rapidly-evolving business environment, which involves the fourth industrial revolution and the COVID-19 pandemic. In this period, management consulting service becomes more in demand to provide technical and strategic solutions for management problems. This study aimed to empirically analyze the direct effects of emotional intelligence on job satisfaction and the indirect effects of such parameters as learning agility and self-efficacy on job satisfaction in management consultants. On the basis of a literature review, inter-variable association was designed in the research model. Based on an online survey of those in the Korean SME management consultants, this study collected 221 questionnaires then used structural equation modeling for statistical analysis. The results reveal that emotional intelligence significantly affected job satisfaction and, also significantly positively affected learning agility and self-efficacy. In addition, a significant indirect correlation could be found between learning agility and self-efficacy. Meanwhile, if learning agility and self-efficacy mediated job satisfaction, emotional intelligence had no significant effect on job satisfaction and fully mediated learning agility and self-efficacy. It is necessary to develop an emotional intelligence education program that can help management consultants improve their emotional intelligence with the objective of giving successful management consulting services.

Development of Evaluation Model for Learning Company Participating Work-Study Parallel Program using AHP (AHP를 활용한 일학습병행 학습기업 평가모형 개발)

  • Dong-Wook Kim;Hwan Young Choi
    • Journal of Practical Engineering Education
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    • v.15 no.3
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    • pp.671-679
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    • 2023
  • This study aims to establish an evaluation model by quantifying the evaluation index as a follow-up study to the development of evaluation index for work-study parallel learning companies. An evaluation model was established by verifying the 2nd level components based on the quantitative factors of the learning company, the qualitative factors, the competency factors of the person in charge, and the competency factors of the learning workers, which are the highest-level components derived from previous study. For the evaluation of a learning company, an AHP survey was conducted with experts in charge of the company consulting to derive important factors that determine the quality of on-site education and training, and the evaluation model of the learning company was completed and grouped by calculating the weight between evaluation items proceeded. Work-study parallel program was promoted as a key policy to resolve the mismatch between industrial sites and school education and realize a competency-centered society, and as of December 2022, 16,664 companies participated in the training. Learning companies play a very important role as education and training supply organizations that conduct field training. It is expected that the support and consulting plan for each level of learning companies according to the evaluation model presented in this study will be used as basic data to improve the quality of work-study parallel program.

A Consulting Case Study on the Small Start-up through using the Business Model Canvas (소규모 창업기업의 사업진단과 컨설팅을 위한 비즈니스모델캔버스의 활용 사례연구)

  • Pyo, Won-Ji;Ha, Hwan-Ho
    • The Journal of the Korea Contents Association
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    • v.15 no.10
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    • pp.561-569
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    • 2015
  • Many start-ups have many realistic hardships in getting management diagnosis about whether their business model are properly going. For this reason, there is the need for an easy and simple method that makes it possible to conduct a strategic management through the analysis and management diagnosis of the business model. The Business Model Canvas(BMC) has been popularized as a tool to help entrepreneurs describe, design, challenge, invent and pivot their business model. This model gives a framework to describe the most important building blocks(9 blocks) of existing business. Entrepreneurs can make their own business analyses and craft their own solutions through using this model. In this study, we conducted consulting by using the BMC on the NARUATO which is a small start-up in the healthy food industry. This case study can use as a learning material for entrepreneurship education.