• Journal of Engineering Education Research
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• v.24 no.3
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• pp.58-69
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• 2021

It is very necessary to have a creative problem-solving capacities to learn various majors and liberal arts based on the major, and to solve the bottleneck techniques led by students. In this study, the existing creative problem-solving curriculums, 'Methodology of Inventive Problem Solving' based on TRIZ, were improved and applied, and industrial bottleneck techniques were provided to students to solve these techniques. To improve the curriculum, 1) improvement of instructional objectives and learning contents, 2) improvement of evaluation methods and contents (reflecting the evaluation of instructor and students), and 3) learning satisfaction survey were conducted in the following order. As a result of the application of the improved curriculum, the level of activities for each team was improved, and when the core process was well understood, the evaluation of team activities was also excellent, but there was a tendency to focus on methods that are relatively easy to apply in the problem solving process. In the final exam (learning contents evaluation), teams with difficult understanding of the TRIZ theory or low team activities showed a relatively high trend, but the difference in level between divisions was slightly reduced.

• Journal of Engineering Education Research
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• v.26 no.3
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• pp.3-11
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• 2023

This study introduces the peer class consulting program at K-Institute of Technology aimed at improving class quality through the diagnosis of professors' teaching methods, analysis of the pros and cons, and assessment of their class management ability. To carry out the program, 641 students taking classes with the professors were surveyed on their satisfaction and learning motivation levels. The class composition was analyzed by monitoring the professor's class. The effect of the consulting was verified by comparing students' class satisfaction scores before and after consulting. Additionally, 29 professors subject to the consulting were surveyed on their satisfaction with the program. According to the results, professors subject to the consulting recognized that the teaching methods and class management strategies presented through the consulting effectively improved student satisfaction and motivation and provided an opportunity to gain confidence through the class. Furthermore, professors subject to the consulting were able to acquire knowledge, skills, and attitudes related to class management, and they perceived the program positively, stating that it allowed them to quickly adapt to the university education environment through cooperative communication with senior professors serving as consultants.

• International Journal of Computer Science & Network Security
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• v.21 no.11
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• pp.177-180
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• 2021

The theoretical and methodological provisions that allow to systematically and comprehensively study the postgraduate pedagogical education of teachers; the essence and features of postgraduate pedagogical education of teachers of diverse training institutions, providing professional and pedagogical training of this category of pedagogical personnel, have been determined; regularities, principles and conditions for the implementation of promising directions of development of the system of postgraduate pedagogical education for teachers of diverse training have been developed; developed technological support for the development of postgraduate pedagogical education for teachers of multidisciplinary training; identified and substantiated promising directions for the development of postgraduate pedagogical education for teachers of multidisciplinary training in vocational education, due to the modernization.

• Journal of Practical Engineering Education
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• v.15 no.2
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• pp.419-427
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• 2023

In this study, optimal adhesion conditions to alleviate defects caused by heat shrinkage with FDM type 3D printers with machine learning are researched. Machine learning is one of the "statistical methods of extracting the law from data" and can be classified as supervised learning, unsupervised learning and reinforcement learning. Among them, a function model for adhesion between the bed and the output is presented using supervised learning specialized for optimization, which can be expected to reduce output defects with FDM type 3D printers by deriving conditions for optimum adhesion between the bed and the output. Machine learning codes prepared using Python generate a function model that predicts the effect of operating variables on adhesion using data obtained through adhesion testing. The adhesion prediction data and verification data have been shown to be very consistent, and the potential of this method is explained by conclusions.

• Journal of the Korea Institute of Building Construction
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• v.19 no.3
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• pp.255-261
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• 2019

Poor working conditions in the construction industry have made young people reluctant to enter it, resulting in supply/demand unbalance of construction skilled worker. Currently, most construction workers in Korea acquire skills through apprenticeships. Against this background, this study aimed to identify problems in apprenticeship-based methods of technical education, and to suggest measures that could improve these methods. As a measure to improve current apprenticeship-based methods of technical education, technical education needs to be regularly provided on construction sites, and each construction company needs to issue a certificate to workers confirming their completion of technical education. It is also necessary to establish a system in which this certificate is recognized as education experience. In addition, it is recommended to form partnerships with construction technology education institutes supported by the government in order to provide construction workers with opportunities to receive new technologies and construction methods free of charge, and it is urgently necessary to establish and implement a policy to adequately support their cost of living during this period.

• Journal of the Institute of Convergence Signal Processing
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• v.21 no.3
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• pp.107-112
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• 2020

With the importance of creative learning highly valued, the demand for education in early childhood and adolescence has been increasing in recent years, but simple memorization-oriented and classical teaching methods tend not to prove high effectiveness in terms of learner-centeredness. Students who study static at their desks for a long time do not prefer boring classical learning methods, and there is also a lack of educational methods and educational content that conforms to the convergence education trend in the actual educational field. Therefore, this study has created a system that allows students to exercise and learn at the same time through a fun and familiar approach, and implement educational content through activation of brain plasticity.

• Journal of information and communication convergence engineering
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• v.12 no.4
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• pp.263-270
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• 2014

Corner detection and feature extraction are essential aspects of computer vision problems such as object recognition and tracking. Feature detectors such as Scale Invariant Feature Transform (SIFT) yields high quality features but computationally intensive for use in real-time applications. The Features from Accelerated Segment Test (FAST) detector provides faster feature computation by extracting only corner information in recognising an object. In this paper we have analyzed the efficient object detection algorithms with respect to efficiency, quality and robustness by comparing characteristics of image detectors for corner detector and feature extractors. The simulated result shows that compared to conventional SIFT algorithm, the object recognition system based on the FAST corner detector yields increased speed and low performance degradation. The average time to find keypoints in SIFT method is about 0.116 seconds for extracting 2169 keypoints. Similarly the average time to find corner points was 0.651 seconds for detecting 1714 keypoints in FAST methods at threshold 30. Thus the FAST method detects corner points faster with better quality images for object recognition.

• The Journal of Korean Institute for Practical Engineering Education
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• v.2 no.1
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• pp.77-83
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• 2010

Effectiveness of the e-learning hands-on practice in the engineering education depends on the quality of the contents of which simulation is a part and the teaching strategy of the instructor. Instructors who develop and use the simulation-included e-learning content should employ various teaching and learning activities which would make online simulation practice effective. Thus, the strategy for the effective e-learning simulated practice in engineering courses should be known and used effectively. The aim of this paper is to classify the development methods of the simulations and the teaching and learning activities of the development types classified. The comparison of the teaching and learning activities leads to suggestion on teaching and learning strategy for effective use of the online simulation in engineering education.

• Journal of Engineering Education Research
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• v.4 no.2
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• pp.35-44
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• 2001

Recently, according to the appearance of various virtual websites using multimedia technologies for engineering education, the internet applications in engineering education have drawn much interests. But unidirectional communication, simple text/image-based webpages and tedious learning process without motivation etc. have made the lowering of educational efficiency in cyberspace. Thus, to cope with these difficulties this paper presents a web-based educational Java applets for understanding the principles or conceptions of digital logic systems. The proposed Java applets provides the improved learning methods which can enhance the interests of learners. The results of this paper can be widely used to improve the efficiency of cyberlectures in the cyber university. Several sample Java applets are illustrated to show the validity of the proposed learning method.

• Journal of Engineering Education Research
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• v.24 no.6
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• pp.40-49
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• 2021

The purpose of this study is to explore the possibility of changing students' learning styles and preferred teaching styles after applying the flipped learning method to engineering education. In order to achieve the purpose of this study, literature review and survey study were conducted. The subject of application of the flipped learning method is the 'Creative Problem Solving Methodology' class, which is one of the specialized liberal arts subjects operated for students of the college of engineering at D university in Gyeonggi-do. For the survey study, a tool adapted to the domestic conditions of Kolb's learning style test tool and Felder & Silverman's preferred teaching style test tool was used. In addition, pre- and post-tests were conducted to measure changes in the learning styles and preferred teaching styles. As a result of applying the flipped learning method for one semester, the learning style showed a tendency to change from an accommodative to a divergent learner. In addition, in the case of the preferred teaching styles, it was confirmed that there were statistically significant changes in the organization and the area of participation. Based on these findings, a proposal for a follow-up study was presented.