• Journal of KIISE:Software and Applications
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• v.37 no.2
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• pp.129-136
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• 2010

In this paper, we present an Example-based Dialogue System for English conversation tutoring. It aims to provide intelligent one-to-one English conversation tutoring instead of old fashioned language education with static multimedia materials. This system can understand poor expressions of students and it enables green hands to engage in a dialogue in spite of their poor linguistic ability, which gives students interesting motivation to learn a foreign language. And this system also has educational functionalities to improve the linguistic ability. To achieve these goals, we have developed a statistical natural language understanding module for understanding poor expressions and an example-based dialogue manager with high domain scalability and several effective tutoring methods.

• Journal of the Korean Applied Science and Technology
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• v.41 no.3
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• pp.771-783
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• 2024

The analysis of beauty major students' acceptance intentions for digital new technologies revealed that subjective norms and self-efficacy significantly impact ease of use as mediating variables, and willingness to innovate and self-efficacy significantly impact usefulness as mediating variables. However, willingness to innovate did not significantly impact ease of use, and subjective norms did not significantly impact usefulness. Ease of use and usefulness significantly impacted acceptance attitude, and acceptance attitude significantly impacted acceptance intention. These results suggest that while beauty major students recognize the positive necessity of new technology application in the beauty field, they may feel somewhat burdened by learning and utilizing new technologies. Learners' fear of applying new technologies could result in a reluctance to take courses necessary for understanding and acquiring digital new technologies. To address this, it is necessary to analyze the basic knowledge level of digital technology among beauty major students and develop lower-level related courses and programs to help them easily understand digital new technologies.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.3
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• pp.468-478
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• 2018

The goal of this study is to propose a new directivity for business training based on an analysis of the learner's satisfaction, the cause of the learning effect and the cause of reenrollment in smart learning courses. The data from 878 learners of 11 companies was analyzed by ANOVA and multiple regression analysis and the following results were obtained. First of all, the satisfaction of studying by smart learning showed various results depending on the motivation, process and contents of studying. According to the results, high rates of satisfaction were observed when the people take an active part in studying, as reflected in the frequency and time of studying. Also, when the learning contents were presented in an animated manner, the satisfaction of the students was increased. Second, the motivation of the students to participate in the smart learning and study process was reflected in the frequency, time and quality of their studies, thus confirming the learning effect. Lastly, the satisfaction and effectiveness of studying by smart learning are the causes of reenrollment. Based on the analysis results, it was concluded that the corporation's support and proper compensation are needed to increase the rate of satisfaction and the effectiveness of smart learning from the corporation's perspective. Also, from the viewpoint of the smart learning system operators, it is necessary to find ways of developing the learning contents.

• Proceedings of the Korean Society of Computer Information Conference
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• 2017.07a
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• pp.203-206
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• 2017

교육부에 따르면 초등학교에서의 프로그래밍 영역 교육 목표는 간단한 프로그래밍의 체험과 문제의 이해이다. 체험적 성격을 가진 프로그래밍 교육은 학습자의 프로그래밍에 대한 학습 동기를 유발시켜야 하며, 이는 중 고등학교에서 프로그래밍을 통해 문제를 해결하는 밑바탕이 된다. 이를 통해 학습자들은 프로그래밍에 대한 학습을 지속하고자 하는 생각을 가질 것이며, 이를 위해서는 실제적으로 학습지속의향을 향상시키는 콘텐츠들의 개발이 필요하다. 따라서 본 논문에서는 초등학생이 프로그래밍 학습을 하고 이를 지속하고자 하는 의도를 얼마나 가지는지를 측정하는 프로그래밍 학습지속의향 검사 도구를 제안하였으며, 그 타당성과 신뢰도를 검증하였다.

• Proceedings of the Korea Multimedia Society Conference
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• 2003.11b
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• pp.839-843
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• 2003

듣고 발화하는 과정을 통해 언어를 재구성해가는 건청아동과는 달리 청각장애 아동은 청력의 상실로 인해 언어습득의 선천적 매커니즘이 작용될 수 없으며 이는 청각장애아동의 언어능력향상을 위한 웹기반언어학습이 의도적으로 구성되어야 항을 의미한다. 동작이나 상황을 나타내는 말을 동적으로 구현하여 사물 및 행동에 대한 관찰력을 증진시키고 주도적으로 상황언어를 익힐 수 있도록 유도하는 시스템 구성이 필요하며 대체사고 전략을 활용하고 얼굴표정과 반대어와 대비어를 강조해야 함이 웹기반 언어학습을 통한 청각장애아동의 문법적 오류를 감소시키는 효과적 방법임을 이 논문을 통해 제안하고자 한다.

• 한국정보교육학회:학술대회논문집
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• 2008.01a
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• pp.223-227
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• 2008

본 연구는 초등학생들의 사이버 가정학습의 활용 요인들을 살펴봄으로써 학생들을 위한 공교육 서비스로서의 발전 방향을 탐색하고자 하였다. 이를 위해 자료 수집 시스템을 구축하였고, 정보기술수용모형과 관련연구들을 바탕으로 사이버 가정학습의 활용에 미칠 것으로 예상되는 변인들을 추출하였다. 연구 대상은 부산지역의 초등학생 201명이었고, 온라인 설문 시스템을 활용하여 응답결과를 요인분석과 회귀분석 방법을 이용하여 분석하였다. 분석결과 (a) 에듀넷 사용에는 유용성, 미래사용의도 (b) 용이성에는 유용성, 인터넷 효능감, (c) 유용성에는 용이성, 주관적 판단, 재미가 유의미한 영향을 끼치는 것으로 나타났다.

• Proceedings of the KAIS Fall Conference
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• 2000.10a
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• pp.307-311
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• 2000

최근의 코스웨어를 위한 환경은 멀티미디어 CD타이틀 제작에서 온라인 환경으로 이동해가면서 다중의 사용자가 동시 접속하여 양질의 교육을 받을 수 있는 클라이언트/서버 구조인 인터넷 환경으로 급변하고 있다. 본 코스웨어에서는 보다 현실감 있고 동적인 구현이 되도록 3차원 가상 공간의 세계를 제공하는 스크립트 언어인 VRML 2.0을 이용하여 각기 다른 학습자가 동일한 가상 역사 공간에 동시에 접속하여 학습자의 의도대로 가상 공간을 통한 역사 학습에 참여한 수 있도록 설계하였다.

• Journal of Digital Convergence
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• v.15 no.5
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• pp.27-36
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• 2017

SNS has been emerged as an effective educational tool in college and many studies on various teaching models and methodologies have been made in order to utilize SNS in education. The purpose of this paper is to empirically investigate the effect of affecting factors of SNS on learner's attitude, intention to re-use and performance in converging college educational environment. Self-efficacy on media usage, educational expectancy, subjective norm, habit, and enjoyment were identified as affecting factors based on prior researches. An empirical analysis was attempted by survey targeting college students. The results of structural equation model using Smart PLS shows that educational expectancy, subjective norm, and enjoyment are significantly related to the learner's attitude on use of SNS in college education, but Self-efficacy on media usage and habit are not. Learner's attitude on SNS in college education was found to be significantly related to the intention to continuous use and performance. This study implicates that using SNS in university class makes learner's attitude positively and finally lead to good performance. The analysis results can provide a guideline of effective strategy for SNS utilization in college education.

• Journal of the Korea Convergence Society
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• v.11 no.7
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• pp.309-317
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• 2020

The purpose of this study was conducted in two stages for university students at K and Y universities in Gyeongsangbuk-do to examine the factors affecting their use intention to use YouTube learning contents due to any of the factors of YouTube learning contents characteristics. Based on the results of the first survey, the measurement items were organized and based on this, second survey was conducted on the use intention of YouTube learning content learners. As a result, it was found that content diversity, content simplicity, content quality, interactivity, and ease of use influenced use intention. Among them, content diversity was found to have the most influence on use intention than others. This study is expected to be used as a basic research data necessary to activate e-learning in the current university and to enhance the learning effect by researching YouTube which is a new learning trend of university students.

• Korean Journal of Cognitive Science
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• v.21 no.4
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• pp.459-480
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• 2010

A dialogue system includes various morphological analyses for recognizing a user's intention from the user's utterances. However, a user can represent various intentions via emotional states in addition to morphological expressions. Thus, a user's emotion recognition can analyze a user's intention in various manners. This paper presents a new method to automatically recognize a user's emotion for a dialogue system. For general emotions, we define nine categories using a psychological approach. For an optimal feature set, we organize a combination of sentential, a priori, and context features. Then, we employ a support vector machine (SVM) that has been widely used in various learning tasks to automatically classify a user's emotions. The experiment results show that our method has a 62.8% F-measure, 15% higher than the reference system.