• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• 제10권5호
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• pp.233-240
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• 2015

About 500 Bizcool High School will be designated by the year of 2017. The policy of designating Bizcool will promote startup club activity among Bizcool high school Student. In particular, the startup club activities will help Bizcool high school student fixing their career path after graduation by enhancing their creativity, leadership, team spirit, and problem solving ability through understanding the concept of entrepreneurship and embodying the startup process taking real startup experience. Hence, this paper set and test hypothesis of assuming the differences with respect to entrepreneurship will and maturing career path whether they have startup club activity as presenting Bizcool high school or not. The empirical test have bee done over 274 Bizcool high school students. The result have shown that significant level of differences(Determinants and Confidence) are found between the group of having startup club activity and those of not having.

• Journal of Advanced Navigation Technology
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• 제25권5호
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• pp.409-414
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• 2021

The growing concerns on the emission of particulate matter has prompted a demand for highly reliable particulate matter forecasting. Currently, several studies on particulate matter prediction use various deep learning algorithms. In this study, we compared the predictive performances of typical neural networks used for particulate matter prediction. We used deep neural network(DNN), recurrent neural network, and long short-term memory algorithms to design an optimal predictive model on the basis of a hyperparameter search. The results of a comparative analysis of the predictive performances of the models indicate that the variation trend of the actual and predicted values generally showed a good performance. In the analysis based on the root mean square error and accuracy, the DNN-based prediction model showed a higher reliability for prediction errors compared with the other prediction models.

• Journal of Practical Engineering Education
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• 제14권1호
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• pp.11-18
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• 2022

As the need for software development manpower increases, various educational programs appear and the popularity of bootcamp style education program for software development increases. However, despite the operations and forms of bootcamp education programs are completely different from the existing software development education programs, there is a lack of research in understanding bootcamp as a software education program. Therefore, this study tried to derive the core elements of the education program through a case study on bootcamp software developer education program. After conducting interviews of 7 members who have completed a series of bootcamp software developer education program X, seven characteristics of bootcamp-type software development education program were derived: intensive theory education, sense of growth and achievement, team project-based learning, community characteristics, peer pressure, stress and fatigue due to short-term learning, and contact-free specialty. Based on the derived characteristics, the advantages and improvements of bootcamp-type education were described, and the direction of the bootcamp-type education program for software developer was discussed.

• Journal of dental hygiene science
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• 제17권4호
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• pp.368-374
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• 2017

The purpose of this study was to evaluate community dental hygiene practice education, by verifying its effect after applying project-based learning in improving the practical and social skills of learners. A 15-week project-based community dental hygiene practice course was held for 27 senior students, who took community dental hygiene practice course in the Department of Dental Hygiene, Gangneung-Wonju National University. Twenty-seven students were composed of 4 teams. Each team selected a target group for four workplaces for adult workers to apply the oral health promotion project. The project was then planned and conducted based on a survey on the health problems confronting each group, and an evaluation was carried out after 4 weeks. From the results obtained in comparing confidence in problem solving ability, project value, teamwork competency, and community dental hygienist competence before and after course, the improvement in project value and teamwork competence scores was not statistically significant, but all four areas showed positive results. After analyzing the project actuality, learning outcomes, and project satisfaction after course results, the actuality of the project was 19.30 points, the learning achievement was 45.19 points, and the satisfaction was 19.19 points, demonstrating that the aim of achieving actual performance competence and a learning performance exceeding expectations was accomplished. After conducting an interview survey with 8 students, it was found that they had learned social skills involving problem-solving abilities and confidence, and teamwork competence such as cooperation, role responsibility, creative thinking ability, and communication skills. Community dental hygienists should be able to acquire learner-level practical skills and social skills in the community dental hygiene and practical courses, according to their competencies and job needs. It is necessary to develop a project?based systematic learning module to enable the community dental hygiene practice to operate as a subject closely related to fields in other dental hygiene departments.

• Journal of Gifted/Talented Education
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• 제15권1호
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• pp.11-36
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• 2005

Cooperative teaching emerged as one of the interesting topics on curriculum administration and teaching-learning method in BSA(Busan Science Academy). The purpose of this study is to do research on social studies learning with respect to cooperative teaching, and to develop the model of cooperative teaching. The results of this study are as follows: First, We surveyed both the concept of cooperative teaching in all aspects and the methodological application on cooperative teaching. Second, We searched all teaching-learning methods in BSA in terms of cooperative teaching. Third, We studied cooperative teaching system on social studies considering current environmental factors. Forth, We performed seminar class which is constructed as one of the cooperative teaching models. The topic of seminar was 'The distortion and falsification of Koguryeo history in China'. The participants of seminar were volunteer students and social studies teachers whose subjects were geography, history, social studies, and ethics. And the participants conducted the research and cooperative learning based on teacher's subjects and subtopics. Fifth, The interactions between teacher and teacher, student and student, and teacher and student in the process of seminar preparation and publication were conducted very excitedly. Especially we found the possibility of cooperative teaching by the interaction between teachers. Finally, students developed the mind-frame to participate in social studies learning actively, and learned the method to research social affairs for themselves, and extended the eyes to approach social affairs with different opinions.

• Journal of Internet Computing and Services
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• 제24권4호
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• pp.117-125
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• 2023

Flipped learning is an instructional approach that reverses the traditional order of in-class and after-class activities. It entails students studying course materials before attending class, and then utilizing class time for completing homework tasks. Due to collaborative support available from teachers and peers, flipped learning has gained extensive adoption in computer science and engineering courses, enabling students to effectively engage in homework assignments. Nevertheless, students are responsible for studying class materials independently, which can limit their understanding of advanced topics. We propose an approach that combines both flipped learning and the traditional method, allowing them to mutually enhance each other. In the proposed approach, students acquire foundational concepts prior to attending class, and subsequently delve into advanced topics during classroom sessions through lectures and guidance provided by the teacher. Afterward, students collaborate with their peers to solve problems that involve the application of the concepts they have learned, and exchange a variety of solutions and perspectives. We implemented the proposed approach in four computer science and engineering classes, spanning one to four semesters and observed an enhancement in students' comprehension and satisfaction levels. We anticipate implementation of the proposed approach across various computer science and engineering courses, while enhancing their overall quality.

• The Journal of Korean Association of Computer Education
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• 제4권1호
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• pp.153-160
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• 2001

Various computer-based learning programs have been developed in recent year. However, their quality has not been improved significantly. One major reason for little improvement on the quality is that most programs did not use an evaluation method to improve the quality of a programs. This paper is to introduce various evaluation methods such as evaluating a program by one expert, by a team of several experts, by a learner, by a small group of learners, by several learners and experts, by a focus group, and etc... These methods could improve the quality as well as increase the effectiveness of a programs. The effectiveness of each program will be increased by applying an appropriate evaluation method according to various factors such as time, cost. or learners.

• Proceedings of the Korean Geotechical Society Conference
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• 한국지반공학회 2002년도 봄 학술발표회 논문집
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• pp.445-452
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• 2002

In the field of civil and geotechnical engineering, students conduct a variety of soil tests to fulfill undergraduate soil mechanics course requirement. There is a range of problems in soil laboratory instruction, such as, some students not getting hands on experience of conducting tests because of inadequate number of apparatus, time constraints and inability in exciting students to seriously conduit the experiments, However when these laboratory soil tests are simulated with multimedia interaction ann visualization techniques, the students conceptual understanding of soil mechanics is enhanced. The simulation program for website teaching is a computer based instructional package intended to complement, and potentially replace, some physical testing in a real soil laboratory. The overall aim of this project is to develop an experimental simulation program toward active learning and development of critical thinking skills, including data interpretation, understanding of the precesses and influential factors, and problem solving. Therefore enable students to access website to team experimental procedure at any time or place.

• Journal of IKEEE
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• 제26권4호
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• pp.545-552
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• 2022

The number of patent application filing for a specific technology has a good relation with the technology's life cycle and future industry development on that area. So industry and governments are highly interested in forecasting the number of patent application filing in order to take appropriate preparations in advance. In this paper, a new method based on the bidirectional long short-term memory(LSTM), a kind of recurrent neural network(RNN), is proposed to improve the forecasting accuracy compared to related methods. Compared with the Bass model which is one of conventional diffusion modeling methods, the proposed method shows the 16% higher performance with the Korean patent filing data on the five selected technology areas.

• International conference on construction engineering and project management
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• The 9th International Conference on Construction Engineering and Project Management
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• pp.230-237
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• 2022

It is difficult to predict industrial accidents in the construction industry because many accident factors, such as human-related factors and environment-related factors, affect the accidents. Many studies have analyzed the severity of injuries and types of accidents; however, there were few studies on the prediction of injured body parts. This study aims to develop a classification model to predict the part of the injured body based on accident-related factors. Construction accident cases from June 2018 to July 2021 provided by the Korea Construction Safety Management Integrated Information were collected through web crawling and then preprocessed. A naïve Bayes classifier, one of the supervised learning algorithms, was employed to construct a classification model of the injured body part, which has four categories: 1) torso, 2) upper extremity, 3) head, and 4) lower extremity. The predictor variables are accident type, type of work, facility type, injury source, and activity type. As a result, the average accuracy for each injured body part was 50.4%. The accuracy of the upper extremity and lower extremity was relatively higher than the cases of the torso and head. Unlike the other classifications, such as spam mail filtering, a naïve Bayes classifier does not provide a good classification performance in construction accidents. The reasons are discussed in the study. Based on the results of this study, more detailed guidelines for construction safety management can be provided, which help establish safety measures at the construction site.