• Journal of Ecology and Environment
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• v.48 no.3
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• pp.214-221
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• 2024

Background: To identify and avoid predators, amphibians rely on chemical cues. Onychodactylus koreanus undergo two to three years of the larval stage in mountainous streams, where they encounter various predators. We aimed to identify the potential predators of O. koreanus larvae based on their antipredator responses to predator odors. Additionally, we examined whether the response was innate or can be strengthened by predator olfactory learning. Results: In Experiment 1, O. koreanus larvae exhibited a substantial antipredator response to Chinese minnow (Rhynchocypris oxycephalus) odor but not to Korean freshwater crayfish (Cambaroides similis) odor. In Experiment 2, O. koreanus larvae, who did not previously expose to R. oxycephalus odor, demonstrated a substantial antipredator response to it. Experiment 3 indicated that predator olfactory learning of R. oxycephalus did not enhance the antipredator response of the larvae. Conclusions: Rhynchocypris oxycephalus could prey on O. koreanus larvae, whose antipredator response to R. oxycephalus odor is innate and not enhanced by olfactory learning. Further investigation into the olfactory system of this species may provide insights into the life cycle of O. koreanus, uncovering hidden underground breeding sites and unknown breeding periods.

• Journal of the Korean Institute of Landscape Architecture
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• v.29 no.5
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• pp.51-59
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• 2001

This paper presents a design of the Dasan Children\`s Park which is located Shindang- dong, lung-gu, Seoul which has an area of about 3,678$m^2$. Objectives for the design were to make nature-friendly space, learning space, interesting play space, space for every child, adventure play space, traditional play space, sense of place, and recycle space. For the space compositions a children\`s garden, a traditional play space, and a science play space were located around the S shaped main route. Facilities relating nature, science, culture. environment and adventure play were arranged in the 3 main spaces. The Children\`s Garden is a green space for learning and playing with natural elements. It is composed of a ecological learning space, a children\`s story garden, a children\`s song road, an environmental labyrinth, and a pall space leer handicap children. The Science Play Place is a place space for learning scientific theories through plays to which scientific theories were applied. It is composed of a total play structure, a math experience playground, a \"Keojunggi\" play space, a sound reflecting experience space, arid an infant playground. The Traditional Play Madang(space) is a space for traditional plays. It is composed of a traditional play pattern, a sun dial, and a floor fountain. The Recycle Road is a dragon shaped road fort learning about resource recycling and conservation. It is composed of a dragon head, body, tail space and a dragon bead(cint mani).int mani).

• Journal of Korea Game Society
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• v.8 no.4
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• pp.3-16
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• 2008

This study tried to look into various linguistic elements of MMORPG and suggested teaching methods to be applied in teaching and learning English. To support this idea, diverse attributes of CALL applications were investigated and suggested suitable position of MMORPG in technological stream of CALL. After that, focusing on 'Goonzu Global', the linguistic environment of MMORPG was considered. Based on aforementioned results, this study proposed an effective method to utilize MMORPG in teaching English adopting three teaching methods; collaborative method, task-based learning and problem-based learning.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.6
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• pp.573-578
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• 2019

This paper applied to the Korean Lesson using PBL(Problem-Based Learning) based on Google Classroom for Mongolians. Recently, Mongolians trying to learn Korean because of Korean wave. This study aims to develop the online problem-based learning model as a way to develop the creative problem-solving ability of Mongolians who want to learn Korean. We applied 3 problems for 9 weeks. This study shows that the participants experienced the effectiveness of Google Classroom and PBL in many ways, 93% of the participants reported that Google Classroom and PBL helped them to learn Korean easily and interesting distance learning model, 90% of the participants prefer to explore Googlish programs and online learning, 85% of them said that increased interaction others in online environment easily. 100% of them said that thankful for learning Korean with Online tutor anytime on Google Classroom. Truly, 86% of them said PBL was hard to generate and understand it because very new instruction for them and working with team in online learning environment. The study showed that members of Korean Lesson experienced various effects such as understanding of learning contents, understanding of cooperative learning, practical experience, creative problem solving ability, presentation skill, communication ability, self - directed learning ability, self - confidence through Google Classroom based PBL.

• Journal of the Korean earth science society
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• v.23 no.8
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• pp.666-675
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• 2002

The purpose of this study was to develop the level-defferentiated Web Based Instruction(WBI) program, to examine its effects on the science achievement self-directed learning characteristics, and the students’ perceptions on the WBI learning. For this purpose, the advanced and complementary WBI program of level-differentiated curriculum was developed to adapt to class fields and examine instruction facilitating efficiency. Designed and developed the WBI program make it possible to teach students according to the level-differentiated learning for the chapter, ‘weather and climate’ in high school science curriculum. The results of this study are as follows: First, level-differentiated WBI was effective to encourage self-concept, learning eagerness, future-oriented self-apprehension, creativity, self-assessment of the student’s self-directed teaming characteristics. There was no interaction effect of treatment and students’ learning ability at the self-directed learning characteristics. Second, the scores of science achievement of WBI group were significantly higher than those of conventional lecture group. There was interaction effect of treatment and students’ learning ability. However level-differentiated WBI has no effect on openness, initiative, responsibility of the student’s self-directed learning characteristics. There was interaction effect of treatment and students’ learning ability at the science achievement, Third, in the perception questionnaire of WBI teaming, many students showed the WBI teaming was good in terms of causing interaction between learners and web based learning materials including various images and animations. However there are several students who showed learning difficulties. For example they wonder which part is more important and what order is proper to study in hypertext environment.

• Journal of Engineering Education Research
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• v.15 no.5
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• pp.25-30
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• 2012

"The engineering education program for environmental intention and value creation" has been executed from 2008 to 2010 in Suzuka National College of Technology, which program was promoted as "Good Practice for Education" by Ministry of Education, Culture, Sports, Science and Technology Japan. "Eco-car project" is one of these practical ecology/environment education programs. The project's members have been learning and researching the environmental managements by the process of design, manufacturing, and assembly of solar car, highly effective fuel consumption car (Eco-run car), electric vehicle and fuel-cell car. Also this project was supported by some professional experts of the local industries and community. The students learned the actual industrial technique, the engineering management and the structure of local industries by this project. In this paper, the environmental intention engineering design education with local industry collaboration is introduced.

• Journal of dental hygiene science
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• v.23 no.4
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• pp.271-281
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• 2023

Background: This study aims to improve dental hygiene education by investigating the relationship between metacognition, learning flow, and problem-solving abilities in dental hygiene majors. Methods: A survey was conducted on 2nd to 4th-year students from dental hygiene programs, with 132 responses analyzed. Data analysis involved t-tests and ANOVA to examine the differences in metacognition, learning flow, and problem-solving abilities based on the general characteristics. Multiple regression analysis was employed to investigate the factors influencing the dependent variable, which is problem-solving abilities. The collected data were analyzed using SPSS. Results: First, when comparing metacognition, learning flow, and problem-solving abilities based on the general characteristics of the study participants, statistically significant differences were observed in common factors such as major satisfaction, subjective academic performance, GPA (grade point average), and reason for major choice (p<0.05). Second, it was found that there is a significant positive correlation between metacognition, learning flow, and problem-solving abilities in dental hygiene students (r≥0.79, p<0.05). In other words, higher levels of metacognition and learning flow were associated with better problem-solving abilities. Third, factors influencing problem-solving abilities were identified, with both metacognition and learning flow having a statistically significant positive impact. It was also noted that metacognition had a greater influence on problem-solving abilities compared to learning flow (adjusted R²=0.815, p<0.05). Conclusion: To enhance the core competency of problem-solving abilities, it is essential to improve metacognition and learning flow. To enhance metacognition and promote learning flow, strategies such as goal setting, utilizing effective learning methods, boosting self-efficacy, managing the learning environment, choosing activities that foster immersion, stress management, self-assessment and feedback integration, improving focus, and utilization a variety of learning experiences will be necessary.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.3
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• pp.853-873
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• 2021

In recent years, deep reinforcement learning (DRL) models are enjoying great interest as their success in a variety of challenging tasks. Deep Q-Network (DQN) is a widely used deep reinforcement learning model, which trains an intelligent agent that executes optimal actions while interacting with an environment. This model is well known for its ability to surpass skilled human players across many Atari 2600 games. Although DQN has achieved excellent performance in practice, there lacks a clear understanding of why the model works. In this paper, we present a visual analytics system for understanding deep Q-network in a non-blind matter. Based on the stored data generated from the training and testing process, four coordinated views are designed to expose the internal execution mechanism of DQN from different perspectives. We report the system performance and demonstrate its effectiveness through two case studies. By using our system, users can learn the relationship between states and Q-values, the function of convolutional layers, the strategies learned by DQN and the rationality of decisions made by the agent.

• Proceedings of the Korean Society of Computer Information Conference
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• 2021.01a
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• pp.301-302
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• 2021

코로나로 인해 비대면 온라인 수업으로 운영된 수업환경에서 컴퓨터공학 분야의 대표적인 실습기반 교과목인 프로그래밍 수업은 학습자들에게 온라인 수업이지만 대면 수업의 실재감을 제공하는 질적 개선 방법을 모색할 필요성이 대두되었다. 본 연구는 플립러닝에 기반 한 실시간 수업을 활용하여 실습 기반 프로그래밍 수업에서 학습자의 능동적 수업 참여를 유도하고, 교수자와 학습자, 학습자와 학습자 간의 상호작용이 원활한 수업을 통해 대면 수업 수준의 실재감을 학습자에게 제공하고 학습효과를 높이고자 하였다. 적용결과, 온라인 수업에서 플립러닝 기반 수업 설계가 실습 기반 수업에 대면수업 수준의 학습 효과 및 만족도가 있었음을 조사·분석하였다.

• Annual Conference of KIPS
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• 2024.05a
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• pp.798-800
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• 2024

현대의 머신러닝 환경에서는 특히 모바일 컴퓨팅 및 사물 인터넷(IoT)의 애플리케이션 영역에서 개인 정보를 보호하고 효율적이며 확장 가능한 모델에 대한 관심이 높아지고 있다. 본 연구는 연합 학습(FL)과 자기지도 학습(self-supervised learning)을 결합하여 이질적(heterogeneous)인 분산 자원에서 레이블이 없는 데이터를 활용하면서 사용자의 개인 정보를 보호하는 새로운 프레임워크를 소개한다. 이 프레임워크의 핵심은 SimCLR 과 같은 자기지도 학습 기법으로 학습된 공유 인코더로, 입력 데이터에서 고수준 특성을 추출하도록 설계되었다. 또한 이 구조를 통해 주석(annotation)이 없는 방대한 데이터셋을 활용하여 모델 성능을 향상시키고, 여러 개의 격리된 모델이 필요하지 않아 리소스를 크게 최적화할 수 있는 가능성을 확인했다. 본 연구를 통해 생성된 모델은 중앙 집중 방식(CL)이면서 자기지도학습으로 학습되지 않은 기존 모델과 비교하여 전체 평균 정확도가 14.488% 향상됐다.