• Journal of The Korean Association For Science Education
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• v.30 no.2
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• pp.192-205
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• 2010

We have investigated the recognition for the gifted science education program of middle school students being educated at the local center for the gifted. We developed a questionnaire that includes items for contents of the program, learning environments, participation attitude, effects of the program and improvements, and consists of it5-point Likert items and related descriptive items. 161 students at the local centers for the gifted responded to the questionnaire. The total score was 3.70 on a 5-point Likert scale. The score of effects of the program was highest, learning environments was the lowest. Most of the students referred that the participation of the programs help their schoolwork because of schoolwork preparations & review, learning the process of the solving problem and principle. On the contrary, difficult contents and long lesson hours interrupted their schoolwork. Students recognized that the programs are mainly composed of students' self-activities and the role of teachers is subsidiary. The programs have a good effect on them to increase interest in science and creative thinking. It is necessary that the program be improved in lesson hours, contents of the program, school facilities, and full service.

• Journal of Digital Contents Society
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• v.5 no.1
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• pp.35-40
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• 2004

Today`s education is in the 7th education curriculum. But, there is nothing that can be used in the classroom as a tool for education supplement. Easylab is a GUI-programing tool for students who not good at using computers. EasyLab is used in the classroom as a kind of tool to give a rise to ingenuity and creation which need at present education curriculum. When use it, first, learners think of programming-ideas, then program through icon-based software-EasyLab. After programing, the leaner can see the result directly thorough the programing code which are delivered by EasyRobot. So, leaner can study and discuss with the robot`s result. If, the result is incorrect, the robot will do a feedback as a kind of rule. One of the EasyLab`s specific property is that consisted icon-based flow-chart model. And leaner can practice with the robot that have input and output sense.

• The Journal of Korean Association of Computer Education
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• v.17 no.3
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• pp.65-74
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• 2014

The purposes of this study were to analyze the mobile learning usages of adult learners and how their perceptions of the mobile learning affects their learning achievements in a cyber-university. 1,118 online adult learners who enrolled in a cyber-university in Korea were involved in this study and the data for their demographic information, mobile learning usages, the perceptions of mobile learning(self-efficacy for mobile learning, perceived ease of use, perceived usefulness, and learning satisfaction) and the learning achievement were collected. The main findings of this study were as follows. First, the subjects in this study showed higher participation rates in the mobile learning with recently introduced mobile devices compared to the results of previous studies. They also showed the need of more learning materials and video streamed lectures. Second, the higher-aged subjects showed relatively higher levels of perception of mobile learning compared to the lower-aged group. Third, the effects of the subjects' perceptions of mobile learning to their learning achievement seem to be limited. It was recommended to enhance the quality of the mobile learning especially considering the relationships between the perceived usefulness and the learning achievement.

• The Journal of Korean Association of Computer Education
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• v.9 no.6
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• pp.41-51
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• 2006

Educators have recognized the usefulness of the e-BBS(electronic-Bulletin Board System) as an asynchronous communication medium for collaborative learning. However, theoretical outcomes to understand the structural analysis of thc e-BBS are not adequate enough. As a consequence, we are left with inadequate supportive tools to understand complex communication phenomena and to assist teachers to guide students to educational purposes. This can cause teachers to have a laissez-faire approach using BBS as a communication medium for education due to the lack of understanding the structural and overall situation. To address this issue, this paper presents a theoretical foundation to help understand the structure of discussion activities via the e-BBS and then presents a computational model, based on the structural analysis, for the behavioral analysis of participants. The formal representation of bi-directional discussion activities is realized by devising two graphs - the reply graph and the connection graph. Various measurements and statistics for the analysis are presented in the paper. To clarify the analysis, we classify the results produced through the analysis of discussion activities and participants' behaviors.

• Journal of the Korea Institute of Building Construction
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• v.21 no.5
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• pp.397-408
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• 2021

The construction industry has the highest occupational accidents/injuries and has experienced the most fatalities among entire industries. Korean government installed surveillance camera systems at construction sites to reduce occupational accident rates. Construction safety managers are monitoring potential hazards at the sites through surveillance system; however, the human capability of monitoring surveillance system with their own eyes has critical issues. A long-time monitoring surveillance system causes high physical fatigue and has limitations in grasping all accidents in real-time. Therefore, this study aims to build a deep learning-based safety monitoring system that can obtain information on the recognition, location, identification of workers and heavy equipment in the construction sites by applying multiple object tracking with instance segmentation. To evaluate the system's performance, we utilized the Microsoft common objects in context and the multiple object tracking challenge metrics. These results prove that it is optimal for efficiently automating monitoring surveillance system task at construction sites.

• Journal of Korea Society of Industrial Information Systems
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• v.28 no.4
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• pp.1-9
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• 2023

In this paper, we propose a method to recognize the braille blocks for embedded devices in real time through deep learning. First, a deep learning model for braille block recognition is trained on a high-performance computer, and the learning model is applied to a lightweight tool to apply to an embedded device. To recognize the walking information of the braille block, an algorithm is used to determine the path using the distance from the braille block in the image. After detecting braille blocks, bollards, and crosswalks through the YOLOv8 model in the video captured by the embedded device, the walking information is recognized through the braille block path discrimination algorithm. We apply the model lightweight tool to YOLOv8 to detect braille blocks in real time. The precision of YOLOv8 model weights is lowered from the existing 32 bits to 8 bits, and the model is optimized by applying the TensorRT optimization engine. As the result of comparing the lightweight model through the proposed method with the existing model, the path recognition accuracy is 99.05%, which is almost the same as the existing model, but the recognition speed is reduced by 59% compared to the existing model, processing about 15 frames per second.

• Journal of Korean Clinical Nursing Research
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• v.22 no.1
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• pp.99-108
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• 2016

Purpose: This study aims to develop Tablet PC-based multimedia educational contents on the procedures from surgery preparation to recovery for hospitalized patients who are going to undergo thoracic surgery and their families. Methods: The educational contents were created based on literature review and a survey of needs in patients and their families who were admitted to a hospital in Seoul from Dec. 2013 to May 2014. The contents were developed in conjunction with a film production company. The educational materials including texts, images, sounds, and videos were developed appling the ADDIE (analysis, design, development, implementation, and evaluation) model. Results: Two multimedia educational contents were developed for the patients with coronary artery bypass graft or lung surgery. Each content consisted of six subdivisions of self-learning for 20 minutes. The developed educational contents were completed after testing content validity by 30 medical experts. Conclusion: This study recommends that the Tablet PC-based educational contents for thoracic and cardiovascular patients and their families be used in general wards and intensive care units to relieve their anxiety before surgery and reduce postoperative complications.

• Journal of Korean Home Economics Education Association
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• v.5 no.1
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• pp.143-152
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• 1993

The purposes of this study were to compare the learning effects of CAI and traditional instruction method in the Home Economics class of middle school and to examine the difference of learning effect between CAI group and traditional instruction group according to ability level. The research findings are as follows: 1.$\circled1$As a result of the post test, CAI group showed significantly higher scores on academic achievement than those of traditional instruction group(p<.05). $\circled2$As a result of the retention test, CAI group showed higher scores than those of traditional instruction group, but statistically the difference is not so significant. 2. $\circled1$Higher group in pre-test score of CAI group showed higher scores in post-test and retention test than those of traditional instruction group, but statistically the difference is not so significant. $\circled2$Lower group in pretest score of CAI group showed significantly higher academic achievements than those of traditional instruction group(p<.05). $\circled3$Higher group in IQ test score of CAI group did not show significantly higher academic achievements than those of traditional instruction group. $\circled4$Lower group in IQ test score of CAI group showed significantly higher academic achievements than those of traditional instruction group(p<.05)

• Journal of The Korean Association For Science Education
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• v.11 no.1
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• pp.37-50
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• 1991

The CAI (Computer-Assisted Instruction) system for science teaching has been increasing both in quantity and in quality during the last two decades. However, science learning by computer has not played a leading role in the science teaching process. Therefore, the purpose of this study was to analyze the effectiveness of tutorial CAI programs according to the learner's characteristics such as sex, inquiry skills, attitudes toward science subject, logical thinking skills, achievement motivation, science content achievement in science teaching. One group pretest-posttest design was used as an experimental design. The three tutorial science CAI programs were used for thirty males and females selected in grade eight. According to the analysis of CAI achievement scores the female students showed significantly higher (P<0.05) than the male students. Also, one-way analysis of variance was used to investigate the effects of interaction between sex and achievement motivation. The significant difference on the effects of interaction between sex and achievement motivation has not found. The effects of tutorial CAI between logical thinking skills, attitudes toward science subject, inquiry skills, achievement motivation, science content achievement according to upper and lower levels were investigated by using the statistical analysis of one-way ANOVA. The results indicate that tutorial CAI might provides a good opportunities for the improvement of science achievement to the lower level students of attitudes toward science subject, inquiry skills, science content achievement.

• Proceedings of the Korea Information Processing Society Conference
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• 2021.11a
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• pp.1128-1131
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• 2021

COVID-19로 인한 홈 쿠킹 시장 수요 증가로 사람들은 더 편리한 요리 보조 시스템을 필요로 하고 있다. 기존 요리 시스템은 휴대폰, 책을 통해 레시피를 일방적으로 제공하기 때문에 사용자가 요리과정을 중단하고 반복적으로 열람해야 한다는 한계점을 가진다. '대화형 스마트 쿠킹 서비스' 시스템은 요리 과정 전반에서 필요한 내용을 사용자와 상호작용하며 적절하게 인지하고 알려주는 인공지능 시스템이다. Google의 MediaPipe를 사용해 사용자의 관절을 인식하고 모델을 학습시켜 사용자의 요리 동작을 인식하도록 설계했으며, dialogflow를 이용한 챗봇 기능을 통해 필요한 재료, 다음 단계 등의 내용을 실시간으로 제시한다. 또한 실시간 행동 인식으로 요리과정 중 화재, 베임 사고 등의 위험 상황을 감지하여 사용자에게 정보를 전달해줌으로써 사고를 예방한다. 음성인식을 통해 시스템과 사용자 간의 쌍방향적 소통을 가능하게 했고, 음성으로 화면을 제어함으로써 요리과정에서의 불필요한 디스플레이 터치를 방지해 위생적인 요리 환경을 제공한다.