• International Journal of Computer Science & Network Security
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• v.23 no.7
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• pp.39-48
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• 2023

Breast cancer screening makes extensive utilization of mammography. Even so, there has been a lot of debate with regards to this application's starting age as well as screening interval. The deep learning technique of transfer learning is employed for transferring the knowledge learnt from the source tasks to the target tasks. For the resolution of real-world problems, deep neural networks have demonstrated superior performance in comparison with the standard machine learning algorithms. The architecture of the deep neural networks has to be defined by taking into account the problem domain knowledge. Normally, this technique will consume a lot of time as well as computational resources. This work evaluated the efficacy of the deep learning neural network like Visual Geometry Group Network (VGG Net) Residual Network (Res Net), as well as inception network for classifying the mammograms. This work proposed optimization of ResNet with Teaching Learning Based Optimization (TLBO) algorithm's in order to predict breast cancers by means of mammogram images. The proposed TLBO-ResNet, an optimized ResNet with faster convergence ability when compared with other evolutionary methods for mammogram classification.

• Journal of the Korea Convergence Society
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• v.8 no.10
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• pp.225-230
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• 2017

This Study is a qualitative study for new suggestion on accounting teaching. Through this study, I expect accounting professional would take in new accounting circumstance (IFRS ; International Financial Accounting Standards) and make a decision on very complex business cases rationally. It has be n proved that closed teaching skil can not cultivate global talented person who is adaptable to IFRS, the international environment. Also, we look forward to establishing an accounting education that is sufficiently controversial among learners, rather than traditional rote education.

• International Journal of Internet, Broadcasting and Communication
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• v.12 no.4
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• pp.232-237
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• 2020

Given the recent pace of development and expansion of Artificial Intelligence (AI) technology, the influence and ripple effects of AI technology on the whole of our lives will be very large and spread rapidly. The National Artificial Intelligence R&D Strategy, published in 2019, emphasizes the importance of artificial intelligence education for K-12 students. It also mentions STEM education, AI convergence curriculum, and budget for supporting the development of teaching materials and tools. However, it is necessary to create a new type of curriculum at a time when artificial intelligence curriculum has never existed before. With many attempts and discussions going very fast in all countries on almost the same starting line. Also, there is no suitable professor for K-12 students, and it is difficult to make K-12 students understand the concept of AI. In particular, it is difficult to teach elementary school students through professional programming in AI education. It is also difficult to learn tools that can teach AI concepts. In this paper, we propose an educational model for elementary school students to improve their understanding of AI through play or experience. This an experiential education model that combineds exploratory learning and discovery learning using multi-intelligence and the PLAY teaching-learning model to undertand the importance of data training or data required for AI education. This educational model is designed to learn how a computer that knows only binary numbers through UA recognizes images. Through code.org, students were trained to learn AI robots and configured to understand data bias like play. In addition, by learning images directly on a computer through TeachableMachine, a tool capable of supervised learning, to understand the concept of dataset, learning process, and accuracy, and proposed the process of AI inference.

• Journal of the Korea Convergence Society
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• v.6 no.1
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• pp.23-28
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• 2015

Teaching programming skills is not only required for computer related departments but through the area of engineering and natural science. Moreover recently teaching programming skill is emphasized in software education for primary schools and secondary schools. Since programming ability is considered an essencial element of national competitiveness, we need programming learning system which alleviates the difficulty. We implemented Blockly webc Programming Convergent Learning System which is based on the graphic tools called Blockly by Google. Inside system problem sets for the programming beginners are embedded in the system. These problem sets are gone under more than 20 years verification and these problem sets may be used to help beginning programmers escape novice coder in short time. Blockly webc Programming Convergent Learning System together with already developed Simple Visual Language2 Programming Learning System is expected to play an important role as a programming learning system for the beginners.

• Convergence Security Journal
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• v.13 no.2
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• pp.101-109
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• 2013

Problem Based Learning(PBL) is one of effective teaching-learning strategy for enhancing military students' motivation, comparing with the other study method. After monitoring military student classes, we conclude that PBL can enhance the effectiveness of learning in War history case study education and finds merits; PBL assists students to play a more active role in the class, induces students to solve problems independently, and makes the learning military situation real case study. The case study is common in social sciences and life sciences. Case studies may be descriptive or explanatory. It is good for War history education. The demerit of PBL is a costly method as students should spend more time and institutions should provide more manpower and materials. This study suggests that more empirical researches on alternative teaching methods, including PBL, to a lecture in War history education.

• Journal of Digital Convergence
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• v.13 no.9
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• pp.29-37
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• 2015

This study investigated the effectiveness of the learning community for the development of convergence on self-directed learning and problem-solving. One hundred ninety-nine university students participated in the study. In specific, one hundred twenty-three among them participated learning community program at the center for teaching and learning for nine weeks while the others were are not as a control group. Pre-post survey with 62 items was conducted regarding self-directed learning(35 items) and problem-solving(27 items). To analyze the data statistically, ANCOVA(Analysis of Covariate) was used. As results, university students in learning community program showed significant difference in all areas of the survey. In other words, university students in learning community program improved self-directed learning and problem solving more than those who were in the control group. Suggestions and ideas of further studies were discussed.

• International journal of advanced smart convergence
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• v.9 no.2
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• pp.28-37
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• 2020

We conducted a comprehensive review on the previous research on r-Learning. By reviewing 843 previous studies about r-Learning published from 2004 to 2015, this study investigated 1) the trend of research on r-Learning over time, 2) the characteristics of targeted students in r-Learning, 3) the educational activities implemented for r-Learning, and 4) the types of educational robots used for r-Learning. The study found that the research on r-Learning has rapidly and steadily increased and the types of educational activities and educational robots has been diversified. Relying on the findings of this review, this study suggests 1) ensuring growth in both the quality and the quantity of research on r-Learning, 2) broadening the target student population of r-Learning beyond the age-limited boundaries, 3) enhancing educational activities of r-Learning, and 4) recognizing the necessity for systematic and clear concepts of types of educational robots.

• Journal of Digital Convergence
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• v.18 no.4
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• pp.67-74
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• 2020

The purpose of this study has developed a teaching and learning informatization indicator that provides the basis for utilizing or disseminating the beneficial teaching and learning informatization environment promoted by each university. The research method analyzes various informatization indicators developed by KERIS from 2002 to 2015 and recent environment such as Edutech, future education report, teaching and learning field report, and reflects them in indicator development. The development of the third indicator was completed by dividing it into Input, Process, Output stages by reflecting expert opinions in the first and second indicators. As a result, the core words of the university's teaching-learning informatization infrastructure building, sharing of educational resources, open development and sharing, joint purchase of resources, information safety system and literacy education, current status grasping, and resource utilization were derived. In the future, I will fill out the questionnaire to supplement the question through a pilot test and to grasp the current status of teaching and learning informatization in the entire university.

• International journal of advanced smart convergence
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• v.11 no.2
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• pp.194-204
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• 2022

This study is a one-group pretest-posttest design to evaluate the effect of problem-based learning (PBL) for patient safety on self-leadership, patient safety competencies, and reflective thinking of nursing students. The research was conducted from March 2 to April 15, 2022, in which 57 nursing students participated. PBL for patient safety was examined in a total of 8 sessions in the order of motivation, problem identification, task performance planning, problem-solving methods, summary and solution, presentation, and evaluation. The following topics of patient safety were selected for each team: nursing records, high-alert medication, medication error and intravenous fluid regulation, blood transfusion care, fall, bedsore, infection control, and pain management. We provided feedback on the learning process and outcomes of nursing students. According to the results, self-leadership showed a statistically significant improvement in self-expectations (t=2.60, p=0.01), goal setting (t=2.84, p<0.01), self-reward (t=3.32, p<0.01), and self-criticism (t=2.32, p=0.02). Patient safety competencies showed a statistically significant improvement in patient safety knowledge (t=13.05, p<0.001) and patient safety skills (t=4.87, p<0.001) but not in reflective thinking. The results prove that PBL for patient safety is an effective teaching-learning strategy to improve self-leadership and patient safety competencies. Future studies must develop and validate specific and long-term teaching-learning methods to improve reflective thinking.

• Journal of Digital Convergence
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• v.17 no.10
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• pp.77-84
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• 2019

The purpose of this study is to examine about various barriers recognized by university faculty members while implementing PBL. By adopting the inductive content analysis, this study has analyzed the contents related with the barriers about PBL implementing in the teaching reflection reports submitted by 32 professors of B university. After the analysis, the barriers have been summarized into 5 major topics such as 'teaching beliefs,' 'classroom culture,' 'learning facilitation,' 'assessment,' 'school environment.' Results suggest: First, a study on the specific solutions for the barriers summarized by 5 major topics should be launched. Second, a teaching competency development program to resolve the barriers should be supported. Third, an innovation of physical school environment and school policy appropriate for PBL implementing should be involved. Fourth, a study on the barriers about PBL implementing should be further expanded.