• Journal of Practical Engineering Education
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• v.10 no.2
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• pp.113-118
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• 2018

The most important thing in vocational education and training is to enhance students' interest and understanding of the whole process of the production site. In this paper, we present a case on the implementation of tele-operation robot hand by learning factory based technology convergence education. It also suggests some points to be taken when applying the learning factory in the future curriculum. In order to implement the tele-operation robot hand, it is necessary to support the compulsory subjects of university level courses in domestic curriculum such as mechanic design, motor control, local communication implementation, sensing and feedback control. The educational research presented in this paper guides the students with the skills they need and understands the skills through self-study and practice, and implements the final products. This study will be useful as a base data when introducing the training process of training factory in the future.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.6
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• pp.140-146
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• 2021

This study examined the effects of childcare teachers' job satisfaction and the professional learning environment on their turnover intention. The study sample consisted of 625 childcare teachers in the S, I, and G area of Korea. Childcare teachers completed a self-administered questionnaire, and the data were analyzed using a t-test, Pearson correlation, and multiple linear regression analysis. The main findings were as follows. First, the level of turnover intention was varied by the type of childcare facility. Childcare teachers working in national and public facilities had a lower turnover intention than the facilities of private and homes. Second, the childcare teacher's job satisfaction, professional learning environment, and turnover intention were closely correlated regardless of the type of childcare facility. Third, the childcare teacher's job satisfaction and professional learning environment were significant predictors of the turnover intention. Therefore, policymakers need to address these issues.

• The Journal of Bigdata
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• v.5 no.2
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• pp.155-170
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• 2020

The purpose of this study was to apply machine learning techniques (Decision Tree, Random Forest, XGBoost) to data from the 4th~6th year of the Seoul Education Longitudinal Study to find the factors predicting the career maturity of middle school students in Seoul city. In order to evaluate the machine learning application result, the performance of the model according to the indicators was checked. In addition, the model was analyzed using the XGBoostExplainer package, and R and R Studio tools were used for this study. As a result, there was a slight difference in the ranking of variable importance by each model, but the rankings were high in 'Achievement goal awareness', 'Creativity', 'Self-concept', 'Relationship with parents and children', and 'Resilience'. In addition, using the XGBoostExplainer package, it was found that the factors that protect and deteriorate career maturity by panel and 'Achievement goal awareness' is the top priority factor for predicting career maturity. Based on the results of this study, it was suggested that a comparative study of machine learning and variable selection methods and a comparative study of each cohort of the Seoul Education Termination Study should be conducted.

• Journal of Industrial Convergence
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• v.19 no.1
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• pp.27-32
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• 2021

Novel Engineering(NE) is integrated learning model to figure out problems in a book and solve them with creative engineering process. NE has been performed on offline until now. We have to research blended learning projects for COVID-19 outbreak. In this paper, we are going to explore that blended NE is effective to creative problem solving ability. The results showed that blended NE is highly effective to all of four sub-elements; self conviction & independence, diffusion thinking, critical thinking and motivational element. This means that blended novel engineering class is effective to competence-centered class proposed in 2015 revised curriculum. We hope that the research is spread and settled into our school.

• The Journal of the Korea Contents Association
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• v.21 no.7
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• pp.500-509
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• 2021

The purpose of this study is to find out the effect and possibility of instructional design conducted by integrating writing education and community service activities based on service learning. Service learning is a teaching method that encourages students to improve learning and self-development through experience by applying the knowledge they have learned in college to the real life of the community. After the course was operated, the effectiveness of the teaching method investigated and analyzed for the participating university students, beneficiaries of service, and staffs of service organization. As a result of the study, meaningful results in cognitive, affective, and social aspects were presented for university students, and positive effects and high satisfaction were confirmed for beneficiaries of service and staffs. As a teaching methord that considers the growth and development of students from various angles. the quantitative and qualitative performance analysis and research of service learning should be conducted continuously.

• The Journal of the Korea Contents Association
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• v.21 no.12
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• pp.477-489
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• 2021

This study was conducted to confirm whether organization culture unbalance plays a role as a moderating variable on the mediation process that protean career orientation influences subjective career success through continuous learning activity. To this end, a survey was carried out on 276 office workers with more than 5 years of work experience in large companies, and the data were analyzed using SPSS 25 and Process Macro v3.5. The results showed that continuous learning activity mediates the relationship of protean career orientation affecting subjective career success, but moderating effect of organizational culture unbalance and the moderated mediation effect were not statistically significant. However, statistical significance was found on the moderating effect of organizational culture unbalance on the mediation process, that 'self-direction', protean career orientation's sub-factor, affects subjective career success and its' sub-factor 'employability', and 'career satisfaction' through continuous learning activity. The significance and limitations of our findings are also discussed.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.22 no.4
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• pp.157-163
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• 2022

Recently, with the development of automation in the industrial field, research on anomaly detection is being actively conducted. An application for anomaly detection used in factory automation is camera-based defect inspection. Vision camera inspection shows high performance and efficiency in factory automation, but it is difficult to overcome the instability of lighting and environmental conditions. Although camera inspection using deep learning can solve the problem of vision camera inspection with much higher performance, it is difficult to apply to actual industrial fields because it requires a huge amount of normal and abnormal data for learning. Therefore, in this study, we propose a network that overcomes the problem of collecting abnormal data with 72 geometric transformation deep learning methods using only normal data and adds an outlier exposure method for performance improvement. By applying and verifying this to the MVTec data set, which is a database for auto-mobile parts data and outlier detection, it is shown that it can be applied in actual industrial sites.

• The Journal of Korean Medicine
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• v.43 no.2
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• pp.27-41
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• 2022

Objectives: There should be an objective analysis on the academic competency for incorporating Computer-based Test (CBT) in the education of traditional Korean medicine (TKM). However, the Item Response Theory (IRT) for analyzing latent competency has not been introduced for its difficulty in calculation, interpretation and utilization. Methods: The current study analyzed responses of 390 students of 8 years to the herbology test with 14 items by utilizing Rasch model, and the characteristics of test and items were evaluated by using characteristic curve, information curve, difficulty, academic competency, and test score. The academic competency of the students across gender and years were presented with scale characteristic curve, Kernel density map, and Wright map, and examined based on T-test and ANOVA. Results: The estimated item, test, and ability parameters based on Rasch model provided reliable information on academic competency, and organized insights on students, test and items not available with test score calculated by the summation of item scores. The test showed acceptable validity for analyzing academic competency, but some of items revealed difficulty parameters to be modified with Wright map. The gender difference was not distinctive, however the differences between test years were obvious with Kernel density map. Conclusion: The current study analyzed the responses in the herbology test for measuring academic competency in the education of TKM using Rasch model, and structured analysis for competency-based Teaching in the e-learning era was suggested. It would provide the foundation for the learning analytics essential for self-directed learning and competency adaptive learning in TKM.

• International Journal of Computer Science & Network Security
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• v.22 no.12
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• pp.160-170
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• 2022

COVID pandemic has reshaped the world as it has been known to us and the education system is one of the most affected by it. Due to social distancing, quarantines and isolations have made it impossible for the knowledge transition to the masses using conventional methods. For cope with pandemic, the only other way available for some of the fortunate countries is the use of E-learning having somewhat the same traditional teaching method. This paper is concerned with the study of the preparedness of the learning system in some Sudanese universities due to the impact of the COVID-19 pandemic. Critical analysis has been performed to evaluate the current developing scenario, usage of the facilities available in open-source platforms, and the interaction of the universities folks with e-learning systems. The impact of such measures has been thoroughly investigated in this paper for Sudan which is already deprived of a proper education system. The investigation shows that the interact of the staff and the students with the system was acceptable where more than 85% of those enrolled to the system were interact properly and efficiently. The lecturers conducted through the platform were attended with more than 75% of the students. We also found that most of the lecturer were avoid to exam students by utilize the platform; where only 45% of the uploaded courses were conducted exams over Moodle platform. As Moodle is an open source and still need to be improved to be used for high examination credibility.

• 한국정보교육학회:학술대회논문집
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• 2021.08a
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• pp.361-368
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• 2021

Daily life such as society, economy, and culture is fundamentally changing due to COVID-19, and digital transformation based on information technology (IT) such as artificial intelligence, data, and cloud is accelerating. In this study, we focused on the metaverse, which is based on the interaction between the virtual world and the real world, and explored the possibility of using the metaverse-based platform for education. The metaverse-based platform was approached from the perspective of the online education ecosystem, which means that not only online teaching and learning activities but also holistic educational activities such as learning, communication, and empathy are performed within the metaverse. In this metaverse platform, learners can feel the presence of learning, and learning motivation and immersion can be promoted. In addition, it is possible to experience self-directed learning based on the autonomy of spatial movement. Although there are technical and ethical limitations to applying the metaverse platform, it would be preferable to focus more on the interaction between learners in the metaverse world rather than high expectations.