• Proceedings of the Korea Society for Industrial Systems Conference
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• 2001.05a
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• pp.165-183
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• 2001

지난해부터 인터넷 분야에서 가장 확실한 수익 모델을 갖춘 사업 분야로 e-Learning 분야가 손꼽히면서 많은 온라인 교육 서비스가 우후죽순처럼 등장해 이미 1,000여 개의 서비스가 각축을 벌이고 있다. 그러나 e-Learning은 무엇보다도 학습용 컨텐츠의 품질이 그 성패를 좌우한다 할 때 한국의 온라인 학습 컨텐츠의 품질은 부실하기 이를 데 없다는 게 중론이다. 이는 S/W 공학에서 S/W 품질 보장을 위해 개발 방법론이 중요한 것으로 인식되는 것과 이를 지원하기 위한 Method II등 여러 도구들이 보급되고 있는데 비해 학습 컨텐츠는 그 중요도와 개발이 복잡하고 정교함이 요구됨에도 불구하고 개발 방법론에 대한 인식과 개발방법론을 지원하기 위한 도구가 없음에 기인하는바 크다 할 수 있겠다. 아직까지 국내에서는 MacroMedia Director나 ToolBook, Authorware등 일반적인 저작 도구나 웹 기반의 컨텐츠를 제작하는 Dreamweaver등의 HTML Editor만 있으면 컨텐츠가 만들어 질 수 있는 것으로 착각하고 있는 경우가 많다. 교육 학습용 컨텐츠의 개발 주기를 살펴보면 요구 분석->교수 설계->저작->평가->배포의 단계를 거치게 되는데 이때 학습 컨텐츠의 품질은 사실 요구 분석과 교수 설계 단계에서 결정되게 되며 이 학습 컨텐츠의 품질을 결정하는 단계에서는 IT 분야 지식보다는 오히려 교육 공학적 지식이 더욱 요구된다. 그러나 현실적으로 이 단계의 절차적 복잡성과 전문성으로 인해 거의 대부분의 학습 컨텐츠들이 제대로 개발 주기를 거치지 못하고 검증되지 않은 스토리 보드에 의한 저작 단계로 바로 돌입하고 있는 것이 한국의 실정이라 하겠다. 따라서 본 프로젝트에 의해 개발 된 교수 설계 도구는 교육/학습 컨텐츠의 품질 보증을 위한 방법론인 교육 공학의 체제적 교수 설계 이론 Model (Instructional System Design Model), 특히 그 중에서도 이 분야의 사실상의 표준 이론(de facto standard)인 Dick & Carey 교수와 Gagne 교수의 인지주의 ISD Model을 기반으로 정교한 교수 설계와 코스 맵 설계를 가능하게 함으로써 학습 컨텐츠의 품질 보증 활동을 지원 할 수 있는 도구로 개발하였다. 특히 Linux 기반에서 PHP로 개발 함으로써 Platform에 구애받지 않은 사용 환경을 구현 하였으며 향후 많은 e-Learning Platform에 교수 설계 모듈로 장착 함으로써 기존의 e-Learning Platform들의 가치를 높일 수 있는 계기가 될 것으로 생각한다.

• Journal of The Korean Association of Information Education
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• v.26 no.6
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• pp.517-532
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• 2022

As a result of the this exploratory study the main results show that the factors affecting the satisfaction of non-face-to-face class learning of graduate students in Education were social presence, perceived easy to use, and information service quality. Secondly, the factors affecting the learning persistence were perceived usefulness and social presence, but perceived usefulness's influence was relatively small. Next, it was found that the subjective satisfaction of graduate students of education did not significantly affect their intention to continue learning persistence. Lastly, learning satisfaction and learning persistence had a positive effect on the intention to recommend to others. Through the this empirical analysitics study it demonstrate the factors such as attitudes, feelings, and friendliness toward non-face-to-face online classes perceived by graduate students in Education.

• The Transactions of the Korea Information Processing Society
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• v.13 no.9
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• pp.437-443
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• 2024

Adhering to coding style guidelines is crucial for both companies and developers as it improves code readability and reduces the costs associated with testing and maintenance. However, teaching coding style in programming courses poses challenges. Setting up an environment for learning coding styles is hard, and there are no predefined coding style rules for beginners. From the learners' perspective, since adherence to coding styles does not affect their grades, they do not feel a strong need to learn them. This paper introduces a coding style checking system for an online evaluation system. The proposed system is implemented to check and evaluate coding styles in C, Java, and Python. Additionally, we applied 234 out of the 1,023 rules provided by the language-specific tools, which is 23.08%, allowing for the application of coding style rules according to the course progression. Moreover, we motivated learners to improve their coding style by adding quality scores to their basic scores. After introducing the coding style education system, the number of students scoring over 25 points on their initial submissions increased by 149.47%, from 18 students in the first week to 44 students in the sixth week. Learners used the coding style checking system to learn how to apply coding style rules and subsequently implemented their code in adherence to the specified coding styles.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.30 no.1
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• pp.74-81
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• 2007

절삭가공에서 가공조건은 가공비용의 감소와 제품 품질의 향상에 영향을 주는 주요 요인 중의 하나이다. 본 논문에서는 밀링작업을 대상으로 가공조건을 보다 효율적으로 수정하고 이를 지속적으로 향상시킬 수 있는 방법론과 이를 기반으로 개발된 작업설계시스템을 소개한다. 개발된 시스템은 (1) 표준 가공조건을 세부 공정별 요구 사항이 만족되도록 수정하고, (2) 퍼지아트맵 신경회로망 모델을 이용하여, 생성된 가공조건을 온라인(incremental) 학습한 후, (3) 보다 효율적인 새로운 가공조건이 생성되었을 때 이를 교체알고리즘이라 불리는 제안된 알고리즘을 이용하여 기존의 가공조건을 대체하는 3가지 핵심 기능으로 구성된다. 우선 새로운 방법론이 적용된 작업설계시스템의 전반적인 내용을 소개한 후, 다음으로 다양한 시뮬레이션을 통하여 제안된 방법론의 성능을 예시한다. 마지막으로 실제부품에 적용한 실행 결과를 기술하고 토의한다.

• Smart Media Journal
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• v.13 no.7
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• pp.27-35
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• 2024

Since COVID-19, the education industry has shifted many of its activities to non-face-to-face channels, and many programs are still being conducted in non-face-to-face channels during the endemic. This study aims to analyze the quality factors affecting user satisfaction of synchronous and asynchronous channels operated non-face-to-face and compare the differences between the two channels. For this purpose, we analyzed the reviews of graduate students of the same content in the synchronous and asynchronous channels at H University in Seoul, Korea. The non-face-to-face learning quality factors derived through topic modeling are educational system quality, content quality, instructor quality, and expectation confirmation, and their effects on user satisfaction were empirically analyzed through survey responses related to these quality factors. The results showed that all of the quality factors had a significant positive effect on satisfaction, and there were significant differences in satisfaction factors between the two channels. This study is significant in that it suggests that improving the content itself for synchronous channels and improving the convenience of the program operation system for asynchronous channels is effective in improving user satisfaction.

• Journal of Internet Computing and Services
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• v.9 no.3
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• pp.159-167
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• 2008

The purpose of this study is finding factors affecting the students' use of the Cyber Home Learning Service System and exploring the direction of this system. It is based on the TAM(Technology Acceptance Model) and the result of the previous studies, six external and three internal factors influencing the sue of Cyber Home Learning Service System were extracted. The participants were 201 elementary school students in Pusan. The response of the questionnaire was gathered by online survey system. To analyze the data and the hypothesis, multiple regression and factor analysis were explored. The result indicated that (a) "usefulness" and "future-intention" affected statically to the use, (b) "usefulness" to the future-intention, (c) "subjective judgement", "fun", and "ease of use" to the usefulness, (d) "self-efficiency" and "contents quality" to the ease of use.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.20 no.6
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• pp.137-144
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• 2020

As the spread of COVID-19, the demand for interactive online class is increasing. Universities are introducing various types of online classes, but many problems arise in the field. Learners complain about the quality of the lecture, and professors have difficulty in preparing and conducting online classes. This study analyzed teaching & learning situation in interactive online class and drew teacher's pain point through case studies. Also, we suggested a method to solve the problem divided into a systemic approach and an administrative approach. The stable settlement of interactive online lectures is expected to accelerate the digital transformation of universities.

• Journal of KIISE:Software and Applications
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• v.30 no.7_8
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• pp.672-680
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• 2003

A shopbot is a software agent whose goal is to maximize buyer´s satisfaction through automatically gathering the price and quality information of goods as well as the services from on-line sellers. In the response to shopbots´ activities, sellers on the Internet need the agents called pricebots that can help them maximize their own profits. In this paper we adopts Q-learning, one of the model-free reinforcement learning methods as a price-setting algorithm of pricebots. A Q-learned agent increases profitability and eliminates the cyclic price wars when compared with the agents using the myoptimal (myopically optimal) pricing strategy Q-teaming needs to select a sequence of state-action fairs for the convergence of Q-teaming. When the uniform random method in selecting state-action pairs is used, the number of accesses to the Q-tables to obtain the optimal Q-values is quite large. Therefore, it is not appropriate for universal on-line learning in a real world environment. This phenomenon occurs because the uniform random selection reflects the uncertainty of exploitation for the optimal policy. In this paper, we propose a Mixed Nonstationary Policy (MNP), which consists of both the auxiliary Markov process and the original Markov process. MNP tries to keep balance of exploration and exploitation in reinforcement learning. Our experiment results show that the Q-learning agent using MNP converges to the optimal Q-values about 2.6 time faster than the uniform random selection on the average.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.18 no.4
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• pp.899-905
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• 2014

In order for corporations and institutions to perform efficient management, they first have to infer what factors customers seek for, then continuously strive to provide them with better service. The most important element to provide better service is accurate feedback from customers; however, Korea lacks of standardized system for measuring customer satisfaction. This study suggests the analysis system for survey, which evaluates customer satisfaction efficiently. The system sets up measuring factor for each service quality, and makes it possible to perform methodically. Especially, the system introduces scoring scheme so that it evaluates quality of service or unit service and prioritizes factors those need to be improved. Furthermore, the survey is operated via mobile and online system, which can be analyzed in real time, and lets foreigners use in their own languages. Through applying the analysis system of customer satisfaction survey to students who participated in work-study program, it substantiates the effectiveness of this system.

• Journal of The Korean Association of Information Education
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• v.26 no.3
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• pp.175-186
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• 2022

This study has explored the facilitating factors affecting the learning persistence of university students and divided Emergency Remote Teaching(ERT) into two types based on its policies. The conclusions are as follows: First, perceived usefulness was the facilitating factor affecting learning persistence in Synchronous ERT. Therefore, learning persistence would improve by establishing various strategies such as exploring appropriate teaching strategies and building a stable infrastructure. Second, it was perceived usefulness, social presence, and system quality that were the facilitating factors affecting learning persistence in Asynchronous ERT. Thus, learning persistence would increase accompanied by immediate feedback, more active interaction, and so on.