• Journal of The Korean Association of Information Education
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• v.19 no.1
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• pp.149-158
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• 2015

Programming education plays a very effective role in comprehensively learning problem analysis ability, logical thinking ability, procedural problem solving method, and imaginary problem solving method. Until recently, however, it is not applied to the elementary and the middle school in Korea, which is very different from the other IT centerd countries such as the U.S., etc., where coding class is actively implemented. Fortunately, Korean government recognized this reality and decided to implement programming education as a regular subject in the elementary school from 2017. In this situation, many researchers' programming education model research is urgently required for the students to learn in the elementary and the middle school. This research developed and suggested 17 sessions of programing education model connected with scratch language and sensor board, which is hardware, to be applied to the class of the 5th and 6th graders. As the result of implementing the joint class of 5th and 6th graders during the after-school class based on programming education process suggested to verify the suitability for elementary school programing education, satisfactory achievement was attained by the assessed students. The researcher plans to develop an optimum model proper for the elementary school students' intellectual capacity by more improving programming education model.

• Journal of the Optical Society of Korea
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• v.16 no.2
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• pp.115-120
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• 2012

In this paper, we present a method to automatically quantify the three-dimensional (3D) volume of red blood cells (RBCs) using off-axis digital holographic microscopy. The RBCs digital holograms are recorded via a CCD camera using an off-axis interferometry setup. The RBCs' phase image is reconstructed from the recorded off-axis digital hologram by a computational reconstruction algorithm. The watershed segmentation algorithm is applied to the reconstructed phase image to remove background parts and obtain clear targets in the phase image with many single RBCs. After segmenting the reconstructed RBCs' phase image, all single RBCs are extracted, and the 3D volume of each single RBC is then measured with the surface area and the phase values of the corresponding RBC. In order to demonstrate the feasibility of the proposed method to automatically calculate the 3D volume of RBC, two typical shapes of RBCs, i.e., stomatocyte/discocyte, are tested via experiments. Statistical distributions of 3D volume for each class of RBC are generated by using our algorithm. Statistical hypothesis testing is conducted to investigate the difference between the statistical distributions for the two typical shapes of RBCs. Our experimental results illustrate that our study opens the possibility of automated quantitative analysis of 3D volume in various types of RBCs.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.17 no.12
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• pp.3383-3397
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• 2023

Scene graphs serve as semantic abstractions of images and play a crucial role in enhancing visual comprehension and reasoning. However, the performance of Scene Graph Generation is often compromised when working with biased data in real-world situations. While many existing systems focus on a single stage of learning for both feature extraction and classification, some employ Class-Balancing strategies, such as Re-weighting, Data Resampling, and Transfer Learning from head to tail. In this paper, we propose a novel approach that decouples the feature extraction and classification phases of the scene graph generation process. For feature extraction, we leverage a transformer-based architecture and design an adaptive calibration function specifically for predicate classification. This function enables us to dynamically adjust the classification scores for each predicate category. Additionally, we introduce a Distribution Alignment technique that effectively balances the class distribution after the feature extraction phase reaches a stable state, thereby facilitating the retraining of the classification head. Importantly, our Distribution Alignment strategy is model-independent and does not require additional supervision, making it applicable to a wide range of SGG models. Using the scene graph diagnostic toolkit on Visual Genome and several popular models, we achieved significant improvements over the previous state-of-the-art methods with our model. Compared to the TDE model, our model improved mR@100 by 70.5% for PredCls, by 84.0% for SGCls, and by 97.6% for SGDet tasks.

• Journal of The Korean Association of Information Education
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• v.21 no.1
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• pp.23-31
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• 2017

This research targeted some content of curriculum of the 2nd semester of the 6th grade to search a method for algorithm realization and digital programing of the regular curriculum. This research analyzed the effect of programing study on the elementary school students by analyzing the survey and teachers' evaluation result after programing utilized with some curriculum along with scratch and sensor board after conducting a class on 6th graders. As the result, interest and participation of programing study appeared higher, respectively 9.37% and 7.53% when sensor board, the hardware, rather than merely utilizing scratch while programing study. Also, understanding of class displayed 7.53% higher. Achievement evaluation that evaluated effective completion of programing, also, was analyzed effective, since it is available for a wide algorithm realization.

• The Journal of Korean Association of Computer Education
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• v.7 no.6
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• pp.107-116
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• 2004

The purpose of the present study was to identify how and how much teachers utilize ICT in their instruction and to analyze teachers' perception about the environmental factors to promote ICT implementation after their participation in a teacher training for Project-Based Learning (PBL) with ICT. The results showed that there was a significant change in the application of PBL into classroom and the class preparation before and after the training. Lack of time to prepare the instruction using ICT was identified as the most important reason not to utilize ICT in their classroom. While teachers perceived time and rewards among the environmental factors were lack, dissatisfaction with status quo, incentives, knowledge and skill, participation and leadership were perceived as being present in their school.

• The Journal of the Korea Contents Association
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• v.10 no.9
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• pp.469-477
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• 2010

In this study, the new teaching-learning method for the students with disabilities is suggested and verified its efficiency. For this purpose, the current teaching-learning method will be examined and compared by attending Hangeul class of the computer training courses in the special schools and regular schools. In addition, for evaluation, the questionnaire survey on the existing teaching-learning method will be conducted for the students with disabilities of the special schools and after applying new teaching-learning method, the questionnaire survey will be conducted again. Through the conducted questionnaire surveys, the impact of the new teaching-learning method on the students with disabilities shall be analyzed.

• Journal of The Korean Association of Information Education
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• v.25 no.2
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• pp.355-365
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• 2021

Online teaching has become a daily routine in schools after 2020, and at the same time, the ability to design and conduct classes using smart devices and apps is becoming more important to teachers. Therefore, in this study, we tried to find out how the demonstration of classes using smart devices and apps online has an effect on the intentions of prospective teachers who want to use them in the future. To this end, classes were designed according to the design principles for improving smart education capabilities of pre-service teachers, and the classes were conducted for pre-service teachers. Afterwards, the variables included in the UTAUT model, such as Performance Expectancy, effort Expectancy, social influence, Voluntariness of Use, Behavioral Intention, and Facilitating Conditions, were measured before and after classes, respectively, and the effectiveness of the class was verified through t-test of response samples. As a result, it was confirmed that all variables except the Facilitating Conditions had a significant positive(+) effect. These results suggest that online class demonstration education can be a way for pre-service teachers to more practically adapt to the educational field where smart education is required.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.10
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• pp.6303-6309
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• 2014

In this thesis, PBL was applied to the subject for improving students' many skills that modern industrial society demands. Our engineering school developed PBL problems for PBL use, applied the problems to classes and confirmed the effectiveness of PBL. The study subjects were 63 freshman students in H University who took the 'Introduce of computer engineering'. We applied 5 PBL problems for 15 weeks. They wrote and submitted a reflective journal when they finished the every given PBL activity. In addition, they completed a class evaluation form after the activity of 5th PBL Problem ended. The study showed that the students experienced the effectiveness of PBL, such as the comprehension of the studied contents, the comprehension of the cooperative learning, authentic experience, creative problem-solving skills, presentation skills, communication ability, self-directed study ability and confidence. Some difficulties in gathering together and spending much time were also encountered. The students realized that the PBL learning activities were important methods because the students could develop into future intelligent engineers that modern industrial society demands through PBL learning activities. The main goal of an engineering school is to produce specialists with creative problem solving ability so that the effects of this study are quite promising for our engineering school.

• Journal of Practical Engineering Education
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• v.15 no.2
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• pp.439 -447
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• 2023

This paper aims to develop a map for optimized class space using ZEP among the metaverse platforms. As a research method, the classroom space was organized so that the subject of learning became a learner, and the classroom space was modified and supplemented to optimize while being applied to elementary school computer classes. The contents of the study investigated learners' prior perception of metaverse, and compared and analyzed the advantages and disadvantages of the metaverse platform. In addition, the map was designed by reflecting the results of the survey, and after applying the map to the class, necessary APIs and apps were installed to supplement it. As a result, the learner became the subject of learning in the metaverse space, freely identified the space, and actively participated in the class. In particular, we found that students who were passive offline and those who had a low participation rate due to lack of skills participated more actively. In particular, students who were passive offline or whose participation was low due to lack of skills participated more actively. If API and JavaScript programs are added to collect log data of learners for learning analysis, real-time feedback is possible for learners, and learner feedback is possible for instructors with statistical data. If this is possible, the metaverse space can fully expect the role of a learning assistant for learners and a teaching assistant for instructors.

• Journal of The Korean Association of Information Education
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• v.11 no.2
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• pp.231-241
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• 2007

With a focus on LabView language to program Lego Mindstoms Robot in afterschool class to help children develop their special ability and aptitude. The purpose of this research was to make proposal for programming learning method using a robot as an algorithm learning tool to improve creative problem solving ability. To do this, robot programming training program in the amount of 30th period and teaching aids thereof were developed, and 6th grade primary school children were taught up to 30th period, then after, they were evaluated accordingly. Results from analysis of evaluation of achievement level with a focus on outcomes according to each period revealed that learners understood most of contents of curriculum. In view of such results from evaluation, it is judged that the curriculum as well as teaching aids that devised and created have been constituted in order that school children will be able to have developed a shared understanding of their learning sufficiently, and to put it into practice easily. Through these hands-on experiences in the course of researches, researcher could have confirmed the possibility of success for robot-programming training class as new creative algorithm learning tool in the primary school curriculum.