• International Journal of Advanced Culture Technology
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• v.11 no.1
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• pp.312-319
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• 2023

This study aims to enhance the engineering education for non-majors by incorporating the concept of Global Citizenship Education and addressing the need for education that responds to climate and ecological changes. The study uses robot programming as a tool to foster the development of global citizens. Non-majors often struggle with producing more than just motionless forms or solid productions, due to a lack of understanding of mechanisms and coding. The study proposes the use of the Convergence D-SteamRobot (DSR) to address this issue by blending humanities and engineering. This is achieved by presenting problems through books to increase empathy, integrating simple machine mechanisms, and creating prototypes to solve self-defined problems. Through this process, learners determine the SDGs topic they want to solve and learn about the simple mechanical mechanism involved in producing the prototype. The educational model provides a constructivist learning environment that emphasizes empathy and exploration, encourages peer-learning, and improves divergent thinking and problem-solving skills.

• Proceedings of the Korean Society of Computer Information Conference
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• 2022.07a
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• pp.63-66
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• 2022

본 논문에서는 분자의 특성을 정확하게 예측하기 위해 효과적인 사전학습(pretraining) 전략과 트랜스포머(Transformer) 모델을 활용한 방법을 제시한다. 딥러닝을 활용한 분자의 성능을 예측하는 연구는 그동안 레이블이 부족한 분자데이터의 특성에 의해 학습 때 사용된 데이터이외의 분자데이터에 대해 일반화 능력이 떨어지는 어려움을 겪었다. 이 논문에서 제시한 모델은 사전학습(pretraining)을 수행할 때 자기지도학습(self-supervised training)을 사용하여 부족한 레이블에 의한 문제점을 피할 수 있다. 대규모 분자 데이터셋으로부터 학습된 이 모델은 4가지 다운스트림 데이터셋에 대해 모두 우수한 성능을 보여주어 일반화 성능이 뛰어나며 효과적인 분자표현을 얻을 수 있음을 보인다.

• ETRI Journal
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• v.45 no.5
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• pp.862-873
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• 2023

Determining whether an autonomous self-driving agent is in the middle of an intersection can be extremely difficult when relying on visual input taken from a single camera. In such a problem setting, a wider range of views is essential, which drives us to use three cameras positioned in the front, left, and right of an agent for better intersection recognition. However, collecting adequate training data with three cameras poses several practical difficulties; hence, we propose using data collected from one camera to train a three-camera model, which would enable us to more easily compile a variety of training data to endow our model with improved generalizability. In this work, we provide three separate fusion methods (feature, early, and late) of combining the information from three cameras. Extensive pedestrian-view intersection classification experiments show that our feature fusion model provides an area under the curve and F1-score of 82.00 and 46.48, respectively, which considerably outperforms contemporary three- and one-camera models.

• ETRI Journal
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• v.46 no.3
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• pp.513-525
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• 2024

Deep neural networks trained on labeled medical data face major challenges owing to the economic costs of data acquisition through expensive medical imaging devices, expert labor for data annotation, and large datasets to achieve optimal model performance. The heterogeneity of diseases, such as Alzheimer's disease, further complicates deep learning because the test cases may substantially differ from the training data, possibly increasing the rate of false positives. We propose a reconstruction-based self-supervised anomaly detection model to overcome these challenges. It has a dual-subnetwork encoder that enhances feature encoding augmented by skip connections to the decoder for improving the gradient flow. The novel encoder captures local and global features to improve image reconstruction. In addition, we introduce an entropy-based image conversion method. Extensive evaluations show that the proposed model outperforms benchmark models in anomaly detection and classification using an encoder. The supervised and unsupervised models show improved performances when trained with data preprocessed using the proposed image conversion method.

• Journal of Korean Home Economics Education Association
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• v.13 no.1
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• pp.25-37
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• 2001

This study is based on education reforms related to strengthening information education in curriculums. This study develops and presents ' General Economics'Model Utilizing ICT(Information Communication & Technology) in Home Economics'which could be used as a concrete guidance and direction in teaching and learning Economics education in schools. To do so, this study reviews the necessity of adopting ICT in Home Economics instructional activities and it also reviews and analyzes previous studies of how ICT contribute to instructional activities. Such analysis was used as a theoretical basis for the Instructional Model. The Tool of ICT is a useful instructional strategy because it allows the learners'self-lead learning and Performance Assessment. Therefore the 'General Instructional Model Utilizing ICT'interprets the role of ICT tools to adequate class activities in each step of instruction which includes the conventional steps of introduction. development review and evaluation. It also develops and presents Lesson Plan that can be adopted in school education and thereby shows the possibility of practical application of the theory. This study has limits in that the Instructional Model and Lesson Plan are theoretical in nature. Therefore, in future studies it is desirable to critically review the Instructional Model an Lesson Plan and prove their applicability in real classes and the real learning effects.

• Journal of the Korean Society of School Health
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• v.27 no.3
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• pp.159-168
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• 2014

Purpose: The purpose of this study is to provide implications for National Curriculum design for elementary and secondary school, by analyzing social indices of students' real life based on Oliva's three types of demand for education. Three types of demand are physical, social-psychological and educational demand. Methods: This study mainly analyzed recent research data and existing studies relevant to social indices to show students' real life. Results: Three types of social indices about educational demand showed that students have many difficulties in much learning time, lacking in sleeping time and physical activities, much stress and suicide attempt. It is supposed that learning and academic achievement is the main factor to make such kind of stress. Conclusion: Health & safety education, self-esteem inspiring education, reduction of learning burden, physical activities etc are needed to be more reflected in National Curriculum design in the future.

• 한국HCI학회:학술대회논문집
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• 2006.02a
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• pp.893-901
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• 2006

The major limitation of the traditional Intelligent Tutoring Systems (ITS) is that interface is mainly focused on the cognitive factors. However, the new direction of ITS is shifting form the cognitive perspectives to the motivational perspectives reflecting the individual differences. In this study, the specific design guidelines for motivational interface of ITS are proposed to promote learner's motivation to learn during the interaction with the ITS. First, ITS should be able to reflect individual differences in cognitive abilities, interest and motivation, and ongoing changes of the interestingness and comprehensibility during learning activities. Second, it is essential for ITS to guarantee learner controllability, diverse learning activities, curiosity, self-relevance, and challenge to enhance the level of motivation and situational interest. Third, the game-like properties are also needed to maximize the motivational effect of learning with ITS.

• Journal of The Korean Association of Information Education
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• v.7 no.1
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• pp.102-112
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• 2003

In order to educate learners who cope with quickly to the information society of twenty-first century, it is required to develop ability to make a plan oneselves, solve the problem by collecting and examining information with various method. The purpose of this study is develop a constructive information searching model, present contents meet with learner's grade then help teacher and learner can search information that needed teaching and learning. In addition to it, this study enable learners to participate learning by self-directing, at the same time cope-learn throuth interaction with members, design of web-site that can be shared. exchanged new various information.

• Journal of Korean Academy of Nursing Administration
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• v.12 no.1
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• pp.41-51
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• 2006

Purpose: The purposed of this study was to develop and evaluate a Web-based for medical terminology educational program. Method: For the development of this program, the NBISD model was applied as a basic model and WBI ID Process Action model was applied. It was executed for 15 weeks along with off-line lectures. After the operation of this program to 210 nursing students, learners' responses were analyzed twice(at 5th week and 15th week). Result: The satisfaction with this program was slightly above the center point. But the structure of system and composition of design were high score. The results of the final evaluation were more positive than those of the interim one. This program have the advantage of easy accessibility and easy understandability with picture and testing. Conclusions: This study proved the importance of the suitability of learning contents and learning form in developing WBI programs and showed possibility for applying WBI to medical terminology. In order to enhance the effects of Web-based medical terminology educational program for, it is necessary to perform analytic comparison with the effect of WBI based on self-directed learning.

• Journal of The Korean Association of Information Education
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• v.9 no.3
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• pp.549-560
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• 2005

Web-based distance teacher training should focus on increasing self-directed problem solving skills of trainers by problem-based instruction(PBL). Performance assessment evaluates achievement of learning goals through the practical performance learning to solve problems in the real situation. This study proposes a web-based performance assessment model for the distance teacher training. It reflects fairness and objectiveness issues of performance assessment which elementary teachers are concerned about through the survey on distance teacher training, and relieves instructors from overload of managing and scoring performance tests. The proposed model provides problem-based learning situations, interactions between individuals and groups, and web-based cooperative evaluation and the peer evaluation.