• The Journal of the Korea Contents Association
• /
• v.21 no.12
• /
• pp.182-189
• /
• 2021

A study was conducted to identify the general characteristics of some dental hygiene students and to identify the factors affecting the achievement goal orientation and academic achievement according to the teaching method selection for increase the academic achievement of the subject in the special education environment caused by the COVID-19. In the second semester of 2020, a survey was conducted on 122 students of G University's dental hygiene department located in Gwangju, and the general characteristics and achievement goal orientation were surveyed. Academic achievement has used the midterm and final exam scores and the collected data were analyzed using Kruskal-Wallis test, Mann-Whitney U test, Pearson's correlation test, Multiple Linear Regrission. According to the general characteristics, there was a significant difference in subject understanding, subject interest, and subject satisfaction, and learning satisfaction showed a strong correlation with the completion goal tendency. There was a significant difference in academic achievement according to the class choice, and the factor that influenced the academic achievement was the case that the teaching method was chosen face-to-face. Therefore, in order to improve learners' academic achievement, it is necessary to increase the proportion of face-to-face classes and to establish an effective lesson plan that can increase the degree of subject understanding, subject interest, and subject satisfaction.

• Electronics and Telecommunications Trends
• /
• v.37 no.2
• /
• pp.42-52
• /
• 2022

Intra- and inter- datacenter data traffic is rapidly increasing due to the spread of smart devices, cloud computing, and non-face-to-face services. Recently, 400-Gbps optical transceivers based on 100-Gbps/channel have been released primarily by major overseas companies. Various solutions for next-generation datacenter interconnect are being proposed by international standardization and multiple source agreement groups. Following this trend, ETRI has developed a 400-Gbps optical transmission/reception engine using 100-Gbps/channel light sources and photodetectors as well as a silica-based AWG. In the future, technologies of optical devices and components for intra-datacenter communication are expected to be developed based on a data rate of 200-Gbps/channel. Thus, 1.6-Tbps class optical transceivers will be released.

• Journal of the Korea Society of Computer and Information
• /
• v.28 no.3
• /
• pp.91-100
• /
• 2023

This study is a case study comparing and examining the effects of non-face-to-face(NFTF) classes in the 2021-2 semester and face-to-face(FTF) classes in the 2022-2 semester on learning immersion, learning stress, and learning satisfaction. The learning immersion and learning satisfaction of 240 students were analyzed in NFTF and FTF classes of department S of C junior college where the same textbook, same subject, and same professor were taught. For data processing, SPSS Ver. 23.0 was used. The data is used to measure reliability by Cronbach's α, t-test, Pearson's correlation coefficient, and multiple regression analysis. The results of this study are as follows. First, learners' learning immersion was higher in FTF than NFTF classes among engineering major subjects. Second, it was found that there was a difference in learning stress according to the types of FTF and NFTF classes in engineering major subjects. Third, it was found that there were differences in practice content, communication, and task performance of sub-factors of learning satisfaction according to FTF and NFTF class types in engineering major subjects. In conclusion, it was found that FTF classes had a more positive effect on learning immersion and satisfaction, and NFTF classes had a more negative effect on learning stress.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.26 no.5
• /
• pp.779-785
• /
• 2022

Study analyzes whether the 3D CAD class using the flipped learning-based PBL is effective in acquiring professional knowledge and nurturing talent. A Flipped Learning-based PBL class was implemented for 3rd grade students of Robot and Automation Engineering Major, Dong-Eui University, and a survey was conducted on satisfaction and effectiveness. The students seemed to be generally satisfied with the class, and the flipped learning-based PBL appeared to be effective in improving the competency required by companies. In particular, it is hoped that it will contribute to the use of video education in practical subjects in the future by proving that practical classes can be operated effectively even in non-face-to-face learning. Moreover, this study is an important indicator for future research and will be used as a quantitative indicator for class improvement.

• Journal of Korean Home Economics Education Association
• /
• v.33 no.3
• /
• pp.65-84
• /
• 2021

In this study, a program was developed and implemented for middle school students in the 'Healthy Family Relations' of the home economics based on design thinking process. The purpose was to investigate whether a significant difference is displayed in terms of empathy ability improvement among middle school students. For this purpose, a "Wise 'stay-at-home' life" program comprised of five class sessions was developed based on design thinking process. The program was implemented to male and female students in the second year of middle school, and students' empathy ability was examined by a pre- and post-test comparison. As a result, the developed program was found to have generated a significant improvement in cognitive empathy among middle school students. In addition, the students' satisfaction with the class was generally positive. In particular, many students mentioned that they were interested in activities such as 'empathizing through Instagram' and 'creating a sub-character'. However, there also was an opinion that the lesson activities were difficult to complete due to the lack of time and restrictions on cooperative activities due to COVID-19. In this research, we developed a program that can be used in both face-to-face and non-face-to-face situations in order to flexibly deal with situations where the learning environment changes due to COVID-19. And this research is significant particularly in that it confirmed that home economics have a positive influence on improving middle school students' empathy ability, particularly the cognitive factor of empathy.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.26 no.6
• /
• pp.922-929
• /
• 2022

This study analyzes the effect of CAE class using PBL on professional knowledge acquisition and competency enhancement. The PBL class was applied to 3rd grade students of Dong-Eui University's Department of Automotive Engineering, and a one-year course, and a survey was conducted on satisfaction and effectiveness in the first and second semesters, respectively. With a significant difference in the survey for each semester, satisfaction in the second semester was found to be high, and satisfaction with non-face-to-face information exchange and team activities was high. In addition, it was evaluated to have a positive effect on the improvement of individual competency such as knowledge of subject, command-led learning, problem-solving ability, and communication. This study has educational implications in that it can be used as a quantitative indicator for class improvement and can be used as basic data for course operation.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.15 no.3
• /
• pp.1100-1118
• /
• 2021

In a wide range of ML applications, the training data contains privacy-sensitive information that should be kept secure. Training the ML systems by privacy-sensitive data makes the ML model inherent to the data. As the structure of the model has been fine-tuned by training data, the model can be abused for accessing the data by the estimation in a reverse process called model inversion attack (MIA). Although, MIA has been applied to shallow neural network models of recognizers in literature and its threat in privacy violation has been approved, in the case of a deep learning (DL) model, its efficiency was under question. It was due to the complexity of a DL model structure, big number of DL model parameters, the huge size of training data, big number of registered users to a DL model and thereof big number of class labels. This research work first analyses the possibility of MIA on a deep learning model of a recognition system, namely a face recognizer. Second, despite the conventional MIA under the white box scenario of having partial access to the users' non-sensitive information in addition to the model structure, the MIA is implemented on a deep face recognition system by just having the model structure and parameters but not any user information. In this aspect, it is under a semi-white box scenario or in other words a gray-box scenario. The experimental results in targeting five registered users of a CNN-based face recognition system approve the possibility of regeneration of users' face images even for a deep model by MIA under a gray box scenario. Although, for some images the evaluation recognition score is low and the generated images are not easily recognizable, but for some other images the score is high and facial features of the targeted identities are observable. The objective and subjective evaluations demonstrate that privacy cyber-attack by MIA on a deep recognition system not only is feasible but also is a serious threat with increasing alert state in the future as there is considerable potential for integration more advanced ML techniques to MIA.

• The Journal of the Convergence on Culture Technology
• /
• v.8 no.5
• /
• pp.279-284
• /
• 2022

As a study of the blended learning method on design education through the blended learning method, I would like to propose that more advanced learner-led customized design education is possible. Understanding in face-to-face classes and advantages in non-face-to-face classes can be supplemented in an appropriate way in remote classes. Advanced artificial intelligence and big data technology can provide personalized and subdivided learning materials and effective learning methods tailored to learners' levels and interests based on quantified data in design classes. In this paper, it was proposed to maximize the efficiency of the class by applying a method that exceeds the limitations of time and space through the proposal of the A La Carte model (A La Carte). It is a remote class that can be heard anytime, anywhere, and it is also possible to bridge the educational quality and educational gap provided to students living in underprivileged areas. As the goal of fostering creative convergence-type future talents, it is changing with a rapid technological development speed. It is necessary to adapt to the change in learning methods in line with this. An analysis of the infographic virtual space design and construction process through the A La Carte model (A La Carte) proposal was presented. Rather than simply acquiring knowledge, it is expected that knowledge can be sorted, distinguished, learned, and easily reborn with its own knowledge.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2021.10a
• /
• pp.478-481
• /
• 2021

With the transition to non-face-to-face classes due to the outbreak of COVID-19, education at school sites is moving in a different direction from traditional lecture-style classes. Accordingly, several online platforms have emerged, and our education is in a transitional period of class change. As a result, after a survey of the currently used online platform, where various contrasts clearly exist, compared with the report before the outbreak of COVID-19, students' perception of ICT usage ability in terms of affective, psychic, and value perception changes want to check

• Journal of the Korean Society of Radiology
• /
• v.17 no.7
• /
• pp.1109-1114
• /
• 2023

This study investigated the effects of utilizing 3D printed teaching aids on academic achievement and learning motivation in a non-face-to-face learning environment during the COVID-19 pandemic. The study was divided into an experimental and a comparison group that applied traditional lecture-based teaching and self-directed learning using 3D printed teaching aids and videos. The results of the study showed that the experimental group using 3D printed brain puzzles improved their academic performance compared to the comparison group using traditional lectures. This may be due to the fact that visual and experiential learning helped students to acquire knowledge on their own. The brain puzzles provided an interesting learning experience for the students, and their overall satisfaction with the class was also positive. These results indicate that teaching with teaching aids can increase students' motivation to learn and improve their academic performance. Therefore, the active introduction of 3D printed teaching aids in the non-face-to-face learning environment caused by COVID-19 is expected to improve the quality of education through innovation in learner-centered teaching methods.