• Journal of Korean Home Economics Education Association
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• v.34 no.1
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• pp.151-165
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• 2022

The aim of this study is to examine the effectiveness of non-face-to-face classes conducted due to the COVID-19 crisis. In order to achieve this goal, a non-face-to-face class with flipped learning was applied in one subject of clothing major held at 'S' University in Cheongju, Korea. In addition, this study tried to analyze the differences between pre- and post-non-face-to-face classes in problem analysis ability, resource/information/technology literacy, convergent thinking ability as core competencies, and overall learning satisfaction. As a result, after participating in the non-face-to-face class in which the flipped learning was applied, the students recognized that their abilities improved in the three problem-solving competency sub-areas, and their overall learning satisfaction also increased. The effectiveness of non-face-to-face classes in the field of clothing and fashion has been mainly measured in fashion design and clothing construction courses. However, based on the results of this study, it can be suggested that non-face-to-face classes in a theory-oriented lecture-type class can be effective methods for improving students' core competencies such as problem-solving skills if teaching-learning methods such as flipped learning are applied. Therefore, the results of this study will be useful data for designing differentiated non-face-to-face class strategies in a theory-oriented lecture-type class to improve the core competencies of college students.

• Journal of Engineering Education Research
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• v.13 no.6
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• pp.14-23
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• 2010

Whether the engineering department of universities employs ideal usage of e-learning or not needs to be investigated as many engineering departments diversify the use of the e-learning elements for educational purpose. Applying the teaching and learning methods and characteristics would lead to better strategies which are applied to development of contents and deployment of the e-learning courses. This study examines the characteristics and approaches of the usage of e-learning elements used by some instructors who use multimedia contents in offline teaching and learning environment. The results of this study shows that the e-learning elements assist the face-to-face course and the interactions are manifested in the classroom rather than in online setting. Lecture, hands-on-practice, simulation, and PBL(Problem-based learning) are turned out to be the major teaching and learning methods. This study signifies the need for use of various teaching and learning methods by the instructors and provision of PBL environment.

• Journal of Korean Elementary Science Education
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• v.39 no.1
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• pp.117-132
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• 2020

The purpose of this study is to investigate elementary school teachers' awareness of Artificial Intelligence (AI) and find out how to apply it in elementary science education. The survey was conducted online and involved 95 teachers working in the metropolitan area. The results of this study are as follows. First, teachers need to learn about the general characteristics of AI and how to apply it to education. Second, science classes had the highest preference for AI among elementary school subjects. Third, the preference for AI application by elementary science field was 68.4% for earth and space, 54.7% for exercise and energy, 32.6% for matter, 27.4% for life. Fourth, AI-based Science Education (AISE) teaching- learning strategies were developed based on AI characteristics and the changing perspective of elementary science education, AISE's teaching-learning strategies are five: 'automation', 'individualization', 'diversification', 'cooperation' and 'creativity' and teachers can use them in teaching design, class practice and evaluation stages. Finally, the creative problem-solving Doing Thinking Making Sharing (DTMS) model was devised to implement the creativity strategy in AISE. This model consists of four-steps teaching courses: Doing, Thinking, Making and Sharing based on the empirical learning theory. In the future, follow-up research is needed to verify the effectiveness of this model by applying it to elementary science education.

• Proceedings of the Korean Society of Computer Information Conference
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• 2021.01a
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• pp.125-126
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• 2021

본 연구는 대학교육에서 학습자 주도수업에 대표적으로 활용되는 PBL-교수학습방법을 SNS기반 온라인 플랫폼에서의 과제수행을 통해 해결하는 PBL-수업모형을 개발하는 것을 목표로 한다. 이를 위해 선행연구 및 이론탐색을 통해 PBL-수업설계에 대한 선행연구를 고찰하고, 적용 가능한 수업모형 및 교육내용을 선정하여 기초내용을 구성한 후 3인의 교육공학 전문가와 5인의 대학교수를 대상으로 FGI 인터뷰 방법을 통하여 연구결과를 도출한다. 과거 PBL-교수학습방법을 적용한 수업설계 들이 모의수행이나 발표 후 토론에 한정되었던 것에 반해 본 연구에서는 SNS기반 온라인 플랫폼에 직접 적용하는 매체제작 및 커뮤니티 활동을 포함하는 수업활동이 도출 되었으며, 실행 가능한 수업모형 개발을 위해 대상자 인터뷰와 분석을 통해 이를 위한 교수학습방법을 설정할 것이다. 본 연구를 통해 제시될 SNS기반 온라인 플랫폼을 활용한 PBL-학습모형은 이후 고등교육기관의 교수학습모형 개발을 위한 기초자료로 활용될 것이다

• Journal of Practical Engineering Education
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• v.14 no.3
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• pp.523-533
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• 2022

During the COVID-19 pandemic, the use of video classes and real-time online education has increased, but the lack of interaction between instructors and learners remains a challenging problem to be resolved. This paper designs and implements a learning support system that utilizes a digital human to improve faculty-student interaction, which plays an important role in increasing the educational effect and satisfaction of real-time online classes. In this paper, a digital human participates in a class as a virtual learner and asks questions raised by other learners through an anonymous chat system to the instructor on behalf of the learners. In addition, as a class facilitator, the digital human analyzes the lecturer's speech in real time and provides it to the learner in the form of a summary of the class, thereby facilitating faculty-student interaction. In order to confirm that the proposed system can be used in actual online real-time classes, we apply our system to Zoom classes. Experimental results show that facilitated Q&A and real-time class summaries are successfully provided through our digital human-based learning support system.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.12
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• pp.4385-4399
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• 2021

The Internet of Things (IoT) eHealth systems composed by Wireless Body Area Network (WBAN) has emerged recently. Sensor nodes are placed around or in the human body to collect physiological data. WBAN has many different applications, for instance health monitoring. Since the limitation of the size of the battery, besides speed, reliability, and accuracy; design of WBAN protocols should consider the energy efficiency and time delay. To solve these problems, this paper adopt the end-edge-cloud orchestrated network architecture and propose a transmission based on reinforcement algorithm. The priority of sensing data is classified according to certain application. System utility function is modeled according to the channel factors, the energy utility, and successful transmission conditions. The optimization problem is mapped to Q-learning model. Following this online power control protocol, the energy level of both the senor to coordinator, and coordinator to edge server can be modified according to the current channel condition. The network performance is evaluated by simulation. The results show that the proposed power control protocol has higher system energy efficiency, delivery ratio, and throughput.

• Journal of Korean society of Dental Hygiene
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• v.4 no.1
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• pp.119-132
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• 2004

The purpose of this study was to introduce PBL to dental hygienist education in an effort to raise a question about the inauthentic and inappropriate curriculum. PBL is one of learning methods to enhance the problem-solving ability of learners, and it's attempted to develop a PBL package focusing on dental hygienist roles to lay the foundation for producing competent and expert dental hygienists with a good problem- solving ability. The literature concerned was reviewed from November 2002 through January 2003 to determine whether or not PBL was applicable to dental-hygienist course, and that turned out to be effective for dental hygienist education. And then a PBL package was developed to train students to be knowledgeable and have a knowhow and excellent problem-solving skills. The characteristics of the PBL package could be described as follows: First, that focused on dental hygienist roles to serve the purpose of this study to remedy the current unrealistic and improper curriculum and improve the problem-solving skills of learners. Second, time factor was taken into account. In this four-week course for two credits, there are four classes a week, and it's required to take six or eight weeks to apply the PBL package, which is expected to demotivate students. Therefore, it's planned to conduct more weekly classes to make a proper progress. Third, a wide variety of teaching aids were put to use, and learner would be encouraged to be more interactive and utilize teaching aids properly, and eventually, they could have an opportunity to better express themselves. Fourth, online real-time learner discussion would be attended by this researcher. Learners would have a discussion in real time in the Internet cafe chat room, and different discussion time would be allocated to each team. This researcher would take part in each team's discussion once or more. Fifth, learners would prepare one or more journal(s) about four-hour Internet cafe learning. They have to make it twice a week at least, and it would be a good opportunity for learners to look back on themselves and their teams, and their learning effect would be greater. Specific rules were presented to help them make a successful self-examination. Sixth, there are some spaces in the lower part of objective test sheets to have students describe why they make a particular answer choice. They would be asked to depict the reason of their prior evaluation and lecture assessment especially because their responses would be important for more successful discussion and feedback. Seventh, problem-solving approach was designed to attain learning objectives, stimulate the creative thinking of learners and help them share a more systematic discussion. That would serve as a secondhand guide not to make them digress when they discuss by using information they acquire from a scenario presented in class.

• Journal of the Korea Society of Computer and Information
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• v.27 no.3
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• pp.173-182
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• 2022

In this paper, we propose a machine learning model that can prevent fraudulent transactions in advance and interpret them using the XAI approach. For the experiment, we collected a real data set of 12,258 mobile phone sales posts from Joonggonara, a major domestic online C2C resale trading platform. Characteristics of the text corresponding to the post body were extracted using Doc2vec, dimensionality was reduced through PCA, and various derived variables were created based on previous research. To mitigate the data imbalance problem in the preprocessing stage, a complex sampling method that combines oversampling and undersampling was applied. Then, various machine learning models were built to detect fraudulent postings. As a result of the analysis, LightGBM showed the best performance compared to other machine learning models. And as a result of SHAP, if the price is unreasonably low compared to the market price and if there is no indication of the transaction area, there was a high probability that it was a fraudulent post. Also, high price, no safe transaction, the more the courier transaction, and the higher the ratio of 0 in the price also led to fraud.

• Journal of Industrial Convergence
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• v.20 no.2
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• pp.45-50
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• 2022

In this study, an e-portfolio system was constructed and utilized to communicate with students, while processing the overall procedure of teaching-learning activities as data for qualitative improvement in the non-face-to-face educational environment. The e-portfolio system was designed to support the entire process of reflection from the instructor's lesson planning, regular checking of the learner's understanding during the course operation process, online communication, and support for learner-centered educational activities. Analyzing the effectiveness of the communication-based learning effect between instructors and learners using the e-portfolio in liberal arts programming classes, which may be difficult for non-major students, a significant correlation was found in problem-solving skills, and midterm and final exams. Additionally, the result of analyzing the expanded applicability of e-portfolio satisfaction demonstrated a significant correlation with the students' computational thinking ability, test results, assignments, and academic performance. It was found to have a significant effect on the improvement of computational thinking ability. If non-face-to-face education is conducted using the proposed e-portfolio system type, it will be possible to improve the quality of online education, while communicating effectively with students.

• Journal of Information Processing Systems
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• v.19 no.5
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• pp.641-651
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• 2023

Malicious hate speech and gender bias comments are common in online communities, causing social problems in our society. Gender bias and hate speech detection has been investigated. However, it is difficult because there are diverse ways to express them in words. To solve this problem, we attempted to detect malicious comments in a Korean hate speech dataset constructed in 2020. We explored bidirectional encoder representations from transformers (BERT)-based deep learning models utilizing hyperparameter tuning, data sampling, and logits ensembles with a label distribution. We evaluated our model in Kaggle competitions for gender bias, general bias, and hate speech detection. For gender bias detection, an F1-score of 0.7711 was achieved using an ensemble of the Soongsil-BERT and KcELECTRA models. The general bias task included the gender bias task, and the ensemble model achieved the best F1-score of 0.7166.