• The Journal of the Korea Contents Association
• /
• v.6 no.11
• /
• pp.249-259
• /
• 2006

E-learning objects should be appropriately described and classified using standard metadata for facilitating the processes of e-learning resource description, discovery and reuse. These metadata need to be published in a registry to reduce duplication of effort and enhance semantic interoperability. This paper describes how standard ebXML registries can be used for annotating, storing, discovering and retrieving e-learning object metadata. For semantic annotation of e-learning objects, IEEE LOM is adopted as the metadata ontology. In order to support the e-learning metadata ontology in interoperable ebXML registries, a mapping scheme between LOM and ebXML information model is proposed. The usefulness of standard ebXML registries for sharing e-learning metadata is demonstrated by prototyping an e-learning registry called ebRR4LOM based on the scheme.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.22 no.8
• /
• pp.1061-1067
• /
• 2018

In the $4^{th}$ industrial revolution of the latest, the development of the technique in the software field decides the success or failure of a country. With the trend of it, each country makes a countless effort on the education of software. This study reconstructed a questionnaire of the type of personality and conducted a research applied to learners with the help of professionals. I observed the attitude of learners during the programming class and the influence of it on the learning ability of self-oriented learning and learning motivation. As a result of it, there came up with a significant difference (at the side of self-oriented studying and the motivation of studying) depending on the type of personality of learners. Therefore, we can look forward to increasing the effects of self-oriented learning and self motivation by applying to the merits of each type of personality.

• Korean Journal of Agricultural Science
• /
• v.49 no.3
• /
• pp.619-627
• /
• 2022

In Korea, apples and pears are among the most important agricultural products to farmers who seek to earn money as income. Generally, farmers make decisions at various stages to maximize their income but they do not always know exactly which option will be the best one. Many previous studies were conducted to solve this problem by predicting farmers' income structure, but researchers are still exploring better approaches. Currently, machine learning technology is gaining attention as one of the new approaches for farmers' income prediction. The machine learning technique is a methodology using an algorithm that can learn independently through data. As the level of computer science develops, the performance of machine learning techniques is also improving. The purpose of this study is to predict the income structure of apples and pears using the automatic machine learning solution H2O.AI and to present some implications for apple and pear farmers. The automatic machine learning solution H2O.AI can save time and effort compared to the conventional machine learning techniques such as scikit-learn, because it works automatically to find the best solution. As a result of this research, the following findings are obtained. First, apple farmers should increase their gross income to maximize their income, instead of reducing the cost of growing apples. In particular, apple farmers mainly have to increase production in order to obtain more gross income. As a second-best option, apple farmers should decrease labor and other costs. Second, pear farmers also should increase their gross income to maximize their income but they have to increase the price of pears rather than increasing the production of pears. As a second-best option, pear farmers can decrease labor and other costs.

• English Language & Literature Teaching
• /
• v.11 no.1
• /
• pp.17-36
• /
• 2005

The purpose of this study is to examine the ways in which CALL apply to enhance the motivational aspects of second language learning. Theories relevant to social, cognitive, and affective foundations of motivation are first reviewed to demonstrate the important role of motivational influences in improving learners' affect and achievements. Then, implications arising from such theories in strengthening the motivational aspects of CALL are explicated in the second part. With the spread of computer technology in language classrooms, the innovative role of CALL in the development and maintenance of intrinsic motivation can be illustrated. Specifically, CALL may provide cognitively supportive instruction geared towards improving students' performance. Also, it has been reported from the affective perspective that CALL can captivate learners' attention, promote their feelings and expectations of success, improve perceptions of control, and increase positive attributions to effort and ability. Finally, from a social learning perspective, CALL may enhance learners' self-efficacy and foster their achievement and positive affect through social interactions, proximal goal-setting, and attributional feedback. In the framework of CALL, students seem to be benefited by the immediacy and authenticity of contact with target languages and cultures made at their choices and decisions.

• The Journal of Korean Association of Computer Education
• /
• v.18 no.6
• /
• pp.81-88
• /
• 2015

Along with advent of Web 3.0 era and advanced technologies of IoT(Internet of Things), massive amounts of information are generated. Reflecting this trend, this paper developed a semi-automatic construction tool for named entity dictionary based on active learning. Our proposed method chose error candidates to verify among the preliminary results using initial trained model and re-trained the model for correctly labeled data by user. We adopt active learning approach for minimizing human effort utilized metadata features of Wikipedia. Based on experimental results using our tool, we show that 68.6% errors were automatically corrected.

• Journal of Korea Society of Industrial Information Systems
• /
• v.8 no.3
• /
• pp.42-50
• /
• 2003

E-Learning is a modern main teaching method starting from the concept of remote education. This research is aimed for proposing cyber lecture library system and designing a cyber lecture component that becomes a basis for e-Learning system Cyber lecture library is a storage system of cyber lectures that can supply high quality data to the needed developers. Component consists of 5 categories and those are text voice, image, animation, and flash. By using this system the developers can save the necessary time and effort in education development. This system also helps students. The students can access various lecture data on a given subject and select the best fit for them.

• Journal of the Korea Society of Computer and Information
• /
• v.3 no.2
• /
• pp.125-130
• /
• 1998

One of the most urgent problems facing 21 century might seem to be a preparation for an advanced education against an information society and have relation to a new information supporting system in teaching as well as leaning. Nevertheless, our educational circumstances have a lot of problems because an effective information supporting contents for teaching and leaning is insufficient. Especially, we've never been making every effort to develope educational contents providing students with a type of information and knowledge database even though the education which come into use internet has been raising a social issue. Therefore, we propose a model of learning contents for supporting www based distance learning system.

• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.18 no.1
• /
• pp.113-117
• /
• 2018

Human emotions are revealed by various factors. Words, actions, facial expressions, attire and so on. But people know how to hide their feelings. So we can not easily guess its sensitivity using one factor. We decided to pay attention to behaviors and facial expressions in order to solve these problems. Behavior and facial expression can not be easily concealed without constant effort and training. In this paper, we propose an algorithm to estimate human emotion through combination of two results by gradually learning human behavior and facial expression with little data through the deep learning method. Through this algorithm, we can more comprehensively grasp human emotions.

• Journal of The Korean Association For Science Education
• /
• v.23 no.4
• /
• pp.375-385
• /
• 2003

In an effort to provide information about the effect of Microcomputer-Based Laboratory (MBL) use in science teaching and learning on student achievement and attitudes, a review of research analyzed studies was done between 1981 and 2001, using a meta-analysis procedure. Thirty-seven published and unpublished studies were reviewed. Use of MBL was shown to be potentially effective in the following condition of class; two students, physics teaching, more than one topic, or at the college level. Appropriate research design strategies, financial support (including hardware and software), and the use of more than one instrument for assessing the effect of the MBL instruction are crucial factors for more informative research studies. While helpful in many respects, the prior research revealed a number of problems related to the use of MBL in school science teaching and learning. The prior research does not support the desired intention described in the theory-based outcomes and reveals so little about how teachers and students use MBL, how it influences their teaching and learning, and how effectively it fits into the existing science curriculum. In order to know if the integration of MBL in the existing school science is worth it or not, more careful research design and comprehensive research should be done.

• The Journal of Korean Association of Computer Education
• /
• v.9 no.6
• /
• pp.19-28
• /
• 2006

A programming language is very important subject in computer science. But it is difficult for many students to learn programming language. New pedagogical methods and techniques to help students to learn programming are needed. In this paper, we investigated the effects of Pair Programming, and we proposed a Pair programming strategy to improve programming skills. This paper examined the proposed Pair programming strategy. A empirical study showed the proposed teaching and learning strategy has positive effects on achievement and motivated strategies in programming course. Four factors - critical thinking, metacognitive reflection, effort regulation, and peer learning - have positive effects in learning strategies. The proposed Pair Programming strategy improves programming learning and motivated strategies.