• The Journal of Korean Academic Society of Nursing Education
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• v.18 no.2
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• pp.197-205
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• 2012

Purpose: This study aimed to demonstrate correlations among self-regulated learning, attention control and Yangseng, to clarify any differences depending on general characteristics and ultimately to understand factors affecting self-regulated learning of undergraduates. Methods: Data were collected for a month from April 1st, 2011. A total of 438 undergraduate nursing students of two universities in Chungbuk and Chungnam were surveyed by using a questionnaire about self-regulated learning, attention control and Yangseng. Results: Self-regulated learning of the subjects showed statistically significant correlations with their attention control (r=.302, p=.001) and Yangseng (r=.292, p=.001). In addition, self-regulated learning could be explained by attention control (${\beta}$=3.648, p=.001), Yangseng (${\beta}$=3.645, p=.001), perceived academic achievement levels (${\beta}$=.124, p=.018), or eating breakfast (${\beta}$=.102, p=.027). In the model, the variables explained self-regulated learning by 19.0%. Conclusion: Nursing instructors should encourage undergraduate nursing students to enhance their attention control so that they can improve their self-regulated learning abilities, which will eventually develop their problem solving skills. In addition, it was shown that self-regulated learning correlates with yangseng including eating a regular breakfast. Maintaining a desirable lifestyle is also essential for students to succeed in self-regulated learning.

• Journal of the Korea Society of Computer and Information
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• v.18 no.10
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• pp.235-243
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• 2013

This study deals with the methods of improving about effects of Teaching-Learning Activities Based Smart learning on Learning Attitudes and the Attention of Students with Intellectual Disorders. Analysis method of the data in this study included comparison pre-and post test among the two groups( experimental group and control group) first, indicated that the experimental group showed that significantly greater improvement in the Learning Attitudes. Seconds, As for the attention of the two groups, the experimental group maintained their attention at relatively similar levels throughout the study period, while the attention of the control group had shortened toward the end of the study. These results suggest that the Teaching-Learning Activities Based Smart learning through authoring tool was highly effective in improving mentally with Intellectual Disorders' Learning Attitudes and attention.

• Journal of The Korean Society of Integrative Medicine
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• v.7 no.4
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• pp.23-32
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• 2019

Purpose : The purpose of this study was to evaluate the effects of multi-sensory treatment programs on attention and learning in ADHD children. Methods : The program was provided for 50 minutes twice a week for a total of 12 times over 6 weeks. The FAIR concentration test was used to identify the children's concentration of attention before and after the intervention. The children's learning ability was evaluated using K-ABC. Results : When attention was evaluated using FAIR, there was a significant increase in all dependencies of performance value (P), quality value (Q), and continuity value (C) (p>.05). In addition, when learning ability was evaluated using K-ABC, learning ability in general increased significantly (p>.05). The multi-sensory play therapy program had a positive effect on the children's attention and learning ability and thus it is a positive intervention method for children with ADHD. Conclusion : In addition to providing challenging activities, the program showed that it was possible to elicit the children's interest by engaging a variety of senses at the same time. This is believed to have motivated them internally to engage actively in the program.

• Journal of Gifted/Talented Education
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• v.20 no.3
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• pp.967-984
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• 2010

This study purposed to examine the effects of the Feuerstein's cognitive mediated learning for gifted children on attention control and attention shift. For the study, 40 gifted students were chosen from the 3rd graders in elementary schools and divided into test and control groups using K-WISC-III and Torrance Tests of Creative Thinking. The mediated learning program that is targeted to improve the executive functions of gifted children has used the tools of Organization of Dots, Analytic Perception and Comparisons among Feuerstein's Instrumental Enrichment(FIE). According to the results of this study, a significant improvement has been observed in selective attention, self-control, sustained attention, and attention shift through cognitive mediated learning. Therefore, it has been proven that the cognitive mediated learning is effective in reducing gifted children's problematic behaviors that are caused by a lack of attention control and attention shift and improving their cognitive functions and potentials.

• English Language & Literature Teaching
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• v.17 no.2
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• pp.247-270
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• 2011

The purpose of this study is to investigate the effects of multimedia-assisted language learning on vocabulary learning and attention for elementary school students who are ADHD-prone. Among thirty-three students attending a private English academy in Daegu, four students who were prone to develop ADHD were chosen for this study. They were observed in a multimedia-assisted language learning class for four months and they were given a series of tests designed to measure their attention period and vocabulary ability. The results of the study are as follows. First, studying English by using multimedia was effective in improving the attention of those children prone to develop ADHD. Second, studying English through multimedia was effective in improving their vocabulary ability. Based on the findings, some pedagogical suggestions have been made for further study.

• Journal of Korea Multimedia Society
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• v.24 no.10
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• pp.1380-1390
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• 2021

The video face recognition (FR) is one of the most popular researches in the field of computer vision due to a variety of applications. In particular, research using the attention mechanism is being actively conducted. In video face recognition, attention represents where to focus on by using the input value of the whole or a specific region, or which frame to focus on when there are many frames. In this paper, we propose a novel attention based deep learning method. Main novelties of our method are (1) the use of combining two loss functions, namely weighted Softmax loss function and a Triplet loss function and (2) the feasibility of end-to-end learning which includes the feature embedding network and attention weight computation. The feature embedding network has a positive effect on the attention weight computation by using combined loss function and end-to-end learning. To demonstrate the effectiveness of our proposed method, extensive and comparative experiments have been carried out to evaluate our method on IJB-A dataset with their standard evaluation protocols. Our proposed method represented better or comparable recognition rate compared to other state-of-the-art video FR methods.

• Korean Journal of Remote Sensing
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• v.37 no.5_1
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• pp.1061-1070
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• 2021

In this manuscript, we tried to improve the performance of the FC-DenseNet by applying an attention gate for the classification of cropping areas. The attention gate module could facilitate the learning of a deep learning model and improve the performance of the model by injecting of spatial/spectral weights to each feature map. Crop classification was performed in the onion and garlic regions using a proposed deep learning model in which an attention gate was added to the skip connection part of FC-DenseNet. Training data was produced using various PlanetScope satellite imagery, and preprocessing was applied to minimize the problem of imbalanced training dataset. As a result of the crop classification, it was verified that the proposed deep learning model can more effectively classify the onion and garlic regions than existing FC-DenseNet algorithm.

• Journal of Korean society of Dental Hygiene
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• v.15 no.5
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• pp.805-811
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• 2015

Objectives: The purpose of the study is to investigate the relationship between self-efficacy and learning attitude according to smoking experience in the middle school students. Methods: A self-reported questionnaire was completed by 608 middle school students in Gyeongnam from July 1 to 23, 2013. The questionnaire consisted of general characteristics of the subjects, smoking behavior, self-efficacy, and learning attitude. The questionnaire was adapted and modified from Kang, Park, and Koh. The self-efficacy was divided into general efficacy and social efficacy. The learning attitude was divided into attention concentration, learning method, and self learning. Data were analyzed using SPSS Win 21.0 program. Results: The nonsmoking students tended to have higher general efficacy and social efficacy than the smokers (p<0.01). The nonsmokers had more attention concentration in learning attitude than the smokers (p<0.001). The learning method (p<0.001) and self learning (p<0.001) showed the same results between the two groups. The smoking experience had the negative correlation with general efficacy (r=-0.164) and social efficacy(r=-0.154). The general efficacy is positively related to social efficacy (r=0.568). The smoking experience had the negative correlation to attention concentration (r=-0.235), learning method (r=-0.211) and self learning (r=-0.148). The attention concentration was positive relation with learning method (r=0.690) and self learning(r=0.662. The learning method had positive relation to self learning (r=0.764). Conclusions: The smoking students tended to have lower self-efficacy and learning attitude, so it is necessary to implement the smoking prevention program in the middle school students.

• School Mathematics
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• v.19 no.1
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• pp.189-208
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• 2017

The purpose of this study is to capture and explain the roles that signs and attention play in the fraction learning process, through a previous study that employs Deleuze's perspective on sign and the role of attention. From this case study of elementary school students, we found that signs are a prerequisite for learning and that learning takes place as different forms of attention shifts. The various types of semiotic resources used by teachers and students have been found to play an important role in coordinating collective attention between teachers and students.

• Journal of the Institute of Convergence Signal Processing
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• v.23 no.1
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• pp.8-14
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• 2022

With the development of deep learning, super-resolution (SR) methods have tried to use deep learning mechanism, instead of using simple interpolation. SR methods using deep learning is generally based on convolutional neural networks (CNN), but recently, SR researches using attention mechanism have been actively conducted. In this paper, we propose an approach of improving SR performance using one of the attention mechanisms, non-local sparse attention (NLSA). Through experiments, we confirmed that the performance of the existing SR models, IMDN, CARN, and OISR-LF-s can be improved by using NLSA.