• Proceedings of the Korean Information Science Society Conference
• /
• 2005.11b
• /
• pp.829-831
• /
• 2005

본 연구에서는 전기회로 시뮬레이터를 사용하여 학습자 스스로가 회로를 직접 만들어보거나 또는 저항, 전지, 전구 값들을 변경시켜, 회로의 변화를 직접 눈으로 확인하여 전기회로의 여러 가지 기본 이론에나 원리를 쉽게 습득하도록 구현하였다. 기존에 나와 있는 코스웨어들은 대부분이 동화상을 포함하거나 또는 플래쉬로 구현되어 있었다. 때문에, 학습자는 극히 제한된 실험만이 가능하였다. 본 연구에서는 학습자가 가상의 실험기구들을 이용해서 직접 전기회로를 구현 할 수 있게 하였다. 이로 인해, 여러 가지 실험을 다양하게 설계 할 수 있어 학습의 응용력을 높일 수 있도록 하였다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 1999.11a
• /
• pp.350-355
• /
• 1999

기존 원격교육 시스템들은 주로 UNIX 기반이며 원격학습을 위한 모든 기능을 서버에서 처리하게 하였다. 따라서 대용량의 시스템이 필요하였고, 여러 강좌를 동시에 실시간으로 강의하는데는 여러가지 제한이 있었다. 본 연구에서 제안한 원격학습 시스템은 사양이 높아진 클라이언트 PC를 최대한 이용하여 서버 시스템의 크기를 줄였다. 원격강의를 할 때 강의의 개설은 메인 서버에서 이루어지게 하고, 실제 강의는 강좌를 개설한 교수 PC로 서버 기능을 전환하여 실시간 강의를 진행할 수 있도록 하였다. 이러한 방법은 서버에 집중되는 부하를 줄이고 실시간으로 동시에 여러 과목의 강의나 다양한 원격토론 학습이 가능하다. 또한, 원활한 강의 및 토론을 위해서 클라이언트 프로그램에 강의에 필요한 기능들을 최대한 포함시켜서 네트워크간의 데이터 이동을 최소화하였다.

• Proceedings of the Korean Information Science Society Conference
• /
• 2003.04a
• /
• pp.866-868
• /
• 2003

학생들의 학습 과정을 관찰하거나 학생들이 산출해 낸 자료를 통해 평가하는 방식인 수행평가는 학습과정 중의 학생 행동 및 반응을 관찰하고 평가하는데 소요되는 업무와 시간 부담으로 교사 주도의 평가방법과 학습 결과로서의 평가 방법을 많이 사용하게 라고 있다. 이에 인터넷을 이용한 수행평가가 이루어지고 있으나 학생의 평가 참여가 이루어지지 못하고 평가 방법의 부분적 사용 등 제한점을 가지고 있다. 본 논문에서는 PHP와 Mysql을 이용하여, 학생의 평가 참여 및 학습 과정 중의 수행평가를 지원하고 교사가 효과적으로 관리할 수 있는 웹 기반의 수행평가 시스템을 설계 및 구현하였다. 이러한 웹 기반 수행평가 시스템을 활용할 경우, 학생들의 평가력 문제해결력 등외 고등사고 능력과 전인적 발달을 도모하고. 교사의 업무와 시간 부담을 줄일 수 있어 다양한 수행평가를 확대 적용한 수 있을 것으로 기대된다.

• The Journal of the Korea Contents Association
• /
• v.14 no.4
• /
• pp.435-444
• /
• 2014

As vocabulary acquisition has become one of the emerging key issues in the foreign language education field, interest in vocabulary learning strategies (VLS) has also increased. However, little has been done to investigate the vocabulary learning strategies of young learners. Therefore, this study attempts to investigate VLS use in elementary school English language textbooks. A total of three fifth grade English textbooks and teachers' guidebooks were chosen and analyzed with the vocabulary learning strategies taxonomy suggested by Scbmitt (1997). The researcher identified there were only a limited number of vocabulary learning strategies in the textbooks and most of them were consolidation strategies. It was concluded that a variety of VLS should be introduced in multiple ways in consideration of learner preference, styles, culture and level of English proficiency. Some implications for the teaching and learning of vocabulary for EFL instruction amongst young learners are discussed.

• The KIPS Transactions:PartA
• /
• v.10A no.4
• /
• pp.375-380
• /
• 2003

Although vocabulary is one of the most important aspects in learning English, it is not dealt with as extensively as the grammar and reading comprehension in the classes due to time limitation. Furthermore, it is also dealt with in only a limited way at most of the English learning web sites compared to the other aspects such as grammar and reading comprehension. In this study. a web-based learning system for English vocabulary which allows a student to study the vocabulary before or after the classes by herself in order to supplement the English classes provided at school. Especially, it allows the students to learn the vocabulary within the context of sentences. It also provides an efficient structure for a repeated study of vocabulary that is new or difficult to the student.

• Journal of the Korean Institute of Telematics and Electronics S
• /
• v.36S no.2
• /
• pp.28-37
• /
• 1999

Differentially Responsible Adaptive Critic Learning technique is proposed for learning the control technique with multiple control inputs as in robot system using reinforcement learning. The reinforcement learning is a self-learning technique which learns the control skill based on the critic information Learning is a after a long series of control actions. The Adaptive Critic Learning (ACL) is the representative reinforcement learning structure. The ACL maximizes the learning performance using the two learning modules called the action and the critic modules which exploit the external critic value obtained seldomly. Drawback of the ACL is the fact that application of the ACL is limited to the single input system. In the proposed Differentially Responsible Action Dependant Adaptive Critic learning structure, the critic function is constructed as a function of control input elements. The responsibility of the individual control action element is computed based on the partial derivative of the critic function in terms of each control action element. The proposed learning structure has been constructed with the CMAC neural networks and some simulations have been done upon the two dimensional Cart-Role system and robot squatting problem. The simulation results are included.

• Journal of Engineering Education Research
• /
• v.11 no.2
• /
• pp.15-24
• /
• 2008

Teaching is communication between instructor and students. The learning outcomes can be enhanced by active learning of students. However, there are many obstacles to effective learning below, such as lecture notes authored by instructor, passive student participation, and paper-based homework. In this paper, we propose an effective method for enhancing learning effect through constructing learner ontologies in which knowledge discovered by students is conceptualized and organized. The learning ontology is composed of a teacher ontology and many learner ontologies. The learning ontology is used in discussion, visual presentation, and knowledge sharing between instructor and students. We used the learning ontology in two lectures in practice and learned that the learning ontology enhances learning effect through analysis of feedbacks of students.

• The Transactions of the Korea Information Processing Society
• /
• v.13 no.2
• /
• pp.76-90
• /
• 2024

Although artificial intelligence (AI) can be utilized in various domains such as smart city, healthcare, it is limited due to concerns about the exposure of personal and sensitive information. In response, the concept of distributed machine learning has emerged, wherein learning occurs locally before training a global model, mitigating the concentration of data on a central server. However, overall learning phase in a collaborative way among multiple participants poses threats to data privacy. In this paper, we systematically analyzes recent trends in privacy protection within the realm of distributed machine learning, considering factors such as the presence of a central server, distribution environment of the training datasets, and performance variations among participants. In particular, we focus on key distributed machine learning techniques, including horizontal federated learning, vertical federated learning, and swarm learning. We examine privacy protection mechanisms within these techniques and explores potential directions for future research.

• Database Research
• /
• v.34 no.3
• /
• pp.137-147
• /
• 2018

A key to a well-performing human activity recognition (HAR) system through machine learning technique is the availability of a substantial amount of labeled data. Collecting sufficient labeled data is an expensive and time-consuming task. To build a HAR system in a new environment (i.e., the target domain) with very limited labeled data, it is unfavorable to naively exploit the data or trained classifier model from the existing environment (i.e., the source domain) as it is due to the domain difference. While traditional machine learning approaches are unable to address such distribution mismatch, transfer learning approach leverages the utilization of knowledge from existing well-established source domains that help to build an accurate classifier in the target domain. In this work, we propose a transfer learning approach to create an accurate HAR classifier with very limited data through the multitask neural network. The classifier loss function minimization for source and target domain are treated as two different tasks. The knowledge transfer is performed by simultaneously minimizing the loss function of both tasks using a single neural network model. Furthermore, we utilize the unlabeled data in an unsupervised manner to help the model training. The experiment result shows that the proposed work consistently outperforms existing approaches.

• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.10 no.6
• /
• pp.287-292
• /
• 2010

The flow gradually into the Information age to the Information age has changed, leading to the development of computer and communication technology was very important for the value. Of these the most used in computer communication using the Internet, and this proportion accounts for the development of the Internet, the information was established as a means of interaction. In this paper, to improve these problems without the constraints of time and space to allow two-way interactions using web based learning system to enable Computer Architecture were learning. Learn how Computer Architecture using Camtasia the learner, without limitation of time and place of the browser through the Internet to enable real-time learning and assessment appropriate to individual learners and teaching - learning process in conjunction with individual learners can be self-directed learning will play a role in that.