• The Journal of the Korea Contents Association
• /
• v.20 no.9
• /
• pp.129-139
• /
• 2020

This study was conducted to analyze the subjective perception types of college students majoring in cooking by applying flip-learning teaching and learning methods to the subject of cooking practice to improve the educational efficiency of cooking-related classes. Also, in order to study subjective perception of small students, we tried to grasp the common structure in subjective attitude and perception using Q methodology, and the analysis resulted in four types. Type 1 (N=5): Problem solving ability effect, Type 2 (N=6): Self-directed learning effect, Type 3 (N=3): Mutual cooperation practice effect, Type 4 (N=6) ): Theory learning effect was analyzed for each unique feature type. Flip-learning is applied to cooking practice classes, which is a learner-centered education that leaves the traditional teaching method. Interest was found to have a very positive effect on learners' opinion sharing and learning outcomes. However, it was revealed that all students need to find additional solutions to problems such as the operation plan for flipped learning and the free ride evaluation method in group learning.

• Journal of the Korea Society of Computer and Information
• /
• v.23 no.6
• /
• pp.15-21
• /
• 2018

The purpose of this study is to design a Content-based Korean Class model using Flipped learning for foreign students. The class model that presents on this paper will lead the language learning through content learning, also it will be enable the student more active and to have an initiative in the class. Prior to designing a Content-based Korean Class model using Flipped learning, the concepts and educational significance and characteristics of flip learning were reviewed through previous studies. Then, It emphasizes the necessity of teaching method adapting Flipped learning to Content-based teaching method in Korean language education. It also suggests standards and principles of composition in Contents-based teaching method using Flipped learning. After designing the instructional model based on the suggested standards and principles, it presents a course of instruction about how learning methods, contents and activities should be done step by step. The Content-based Korean class model using the Flipped learning will be an alternative approach to overcome the limitations of teacher-centered teaching methods and lecture-teaching methods which are the dominant of present classroom environment.

• Journal of Korea Society of Digital Industry and Information Management
• /
• v.14 no.2
• /
• pp.69-78
• /
• 2018

When it comes to the value of modern education, teachers are required to perform the role of a helper to promote interaction between learners, the role of a manager to facilitate smooth learning, and the role of a guide who has expert knowledge in the learning contents. Therefore, this study investigated what kind of learner-centered teaching methods there are, which require teachers to perform the roles of helper, manager, and guide, and conducted a pedagogical research on coding education to explore class models for self-directed learning. Subsequently, a class model was proposed by applying the flipped learning and havruta learning to a coding class. In this study, the learner-centered education methods of flipped learning and havruta method were applied to constructing a coding class as a university general education course. The feature of this class is that it enables dynamic interaction between teachers and learners as well as active interaction between leaners in a classroom instruction. After applying the proposed method to the actual class and analyzing it, the students taught using suggested method were more positively assessed in learning interest than those taught using a traditional method. And that in academic achievement as well, suggested method was more effective.

• The Journal of the Convergence on Culture Technology
• /
• v.6 no.4
• /
• pp.767-776
• /
• 2020

GcGAN is a deep learning model to translate styles between images under geometric consistency constraint. However, GcGAN has a disadvantage that it does not properly maintain detailed content of an image, since it preserves the content of the image through limited geometric transformation such as rotation or flip. Therefore, in this study, we propose a new image-to-image translation method, MSGcGAN(Multi-Scale GcGAN), which improves this disadvantage. MSGcGAN, an extended model of GcGAN, performs style translation between images in a direction to reduce semantic distortion of images and maintain detailed content by learning multi-scale images simultaneously and extracting scale-invariant features. The experimental results showed that MSGcGAN was better than GcGAN in both quantitative and qualitative aspects, and it translated the style more naturally while maintaining the overall content of the image.

• Journal of Digital Convergence
• /
• v.19 no.1
• /
• pp.249-260
• /
• 2021

This study is a meta-analysis study conducted to integrate and analyze the results of flip-learning studies for Korean nursing students. We searched PubMed, EMBASE, Cochrane, CINAHL, and Korean databases. Randomized controlled trials (RCTs) and Non-Randomized controlled trials (Non-RCTs) evaluating the effects of flipped learning for Korean nursing students were included. Standardized mean differences (SMDs) with 95% confidence intervals (CIs) were calculated using a random-effects meta-analysis. The entire effect size in flipped learning was big in effect size (SMD = 1.21; 95% CI = 0.84 to 1.63; I2 = 93.9; n = 23) compared to the control groups. The analysis results of subgroups according to the classification of Bloom showed that flipped learning was found to have a significant effect on psychomotor domain, cognitive domain, and affective domain. A total of 10 literature analyses, this meta-analysis showed that flipped learning on Korean nursing students is effective in psychomotor, cognitive, and affective domain than the traditional teaching method. The flip learning can be integrated into theoretical and practical nursing education to improve the academic performance of nursing students.

• The Journal of the Korea Contents Association
• /
• v.22 no.5
• /
• pp.656-666
• /
• 2022

The purpose of this study is to evaluate the effect on the grit, learning reality, and learning satisfaction for nursing students using the flipped learning teaching method. We developed a flipped learning educational program using ADDIE model for nursing students and evaluated the program effect. As a result of this study, the grit (t=-3.07, p=.003), the learning presence (t=-4.87, p<.001) and the learning satisfaction (t=-5.18, p<.001) significantly increased after flip learning method application. The Grit shown to have a significant positive correlation with learning presence (r = .47, p<.001), and learning satisfaction (r = .26, p<.005). The learning presence shown to have a significant positive correlation with learning satisfaction (r = .548, p<.001). The flipped learning teaching method may improve the grit, learning reality, and learning satisfaction. Various efforts will be needed to lay the foundation for flipped learning teaching methods in the field of nursing education in the future.

• Proceedings of the Korean Society of Broadcast Engineers Conference
• /
• 2020.11a
• /
• pp.241-243
• /
• 2020

The high computational complexity of deep learning algorithms has led to the development of specialized hardware architectures. However, soft errors (bit flip) may occur in these hardware systems due to voltage variation and high energy particles. Many error correction methods have been proposed to counter this problem. In this work, we analyze an error correction mechanism based on repetition codes and an activation function. We test this method by injecting errors into weight filters and define an ideal error rate range in which the proposed method complements the accuracy of the model in the presence of error.

• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.22 no.4
• /
• pp.171-176
• /
• 2022

CNN is a type of deep learning and is a neural network used to process images or image data. The filter traverses the image and extracts features of the image to distinguish the image. Deep learning has the characteristic that the more data, the better models can be made, and CNN uses a method of artificially increasing the amount of data by means of data augmentation such as rotation, zoom, shift, and flip to compensate for the weakness of less data. When learning CNN, we would like to check whether outline image learning is helpful in improving performance compared to conventional data augmentation techniques.

• The Journal of the Korea institute of electronic communication sciences
• /
• v.19 no.1
• /
• pp.197-208
• /
• 2024

In today's era, where internet technology and culture are advancing rapidly, the importance of systematic internet ethics education has been underscored to address the insufficient levels of internet ethics among college students. This research primarily focused on assessing the level of internet ethics among college students, who represent a significant proportion of internet users. The innovative Flip Learning teaching method and the introduction of the Wheeler Model, along with the application of frequency measurement theory, allowed us to explore ways to maximize the effectiveness of the education. It was confirmed that students who received internet ethics education demonstrated improved levels of ethics. This study concluded that significant progress has been made in systematizing and effectively promoting internet ethics education. It also proposed the need for systematic ethics education and provided future directions for improving internet ethics education.

• The Journal of Korean Association of Computer Education
• /
• v.21 no.4
• /
• pp.39-52
• /
• 2018

There has been a lot of interest in flipped learning, but lacked practical research to support the faculty developing flipped learning courses in higher education institutions. The purpose of this study is to develop a consulting model for developing a flipped learning course that can be practically used by institutions such as center for teaching and learning that support faculty teaching to improve the quality of instruction. A 'Coaching based on flip learning course development consulting model' was derived through literature review and expert feedback. The 8-step model is as follows: 1) survey of class development, 2) course orientation, 3) flipped learning, 4) expert class analysis, 5) flipped learning coaching, 6) flipped learning operation, 7) instructor reflection, and 8) feedback and revision. Based on the results of this study, it is possible to provide professional and practical guide systematically, and also help to improve quality of lesson.