• Proceedings of the Korea Contents Association Conference
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• 2003.11a
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• pp.53-59
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• 2003

Recently, social interest are increasing to e-learning system. for realizing efficient e-teaming system, reports plagiarism inspection is the most important topic. This paper describes the methods of reports plagiarism inspection and analyzing the S/W tools to implement e-learning system.

• Journal of Korean Home Economics Education Association
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• v.32 no.4
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• pp.149-170
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• 2020

The purpose of this study was to develop and evaluate a Smart learning-based middle school home economics education plan to improve the online home economics education classes. The educational plan in this study was completed through the process of analysis, design, development, and evaluation. The results of this study are as follows. First, as a result of analyzing consumer life units in the middle school textbooks based on 2015-revised curriculum, Smart learning activities were presented in only two out of the 12 textbooks analyxed. Second, a Smart learning-based middle school home economics education plan was developed in this study with the following characteristics: the topics and contents are structured so that to help learners actively engage in the teaching and learning activities; the education plan to reflects various media and current issues that learners may be interested in; the lesson plans were structured with the premise of online classes; softwares that enable real-time discussion and collaboration are used; and the evaluation method are composed of online activities. Third, the expert evaluation scores for the educational plan and activity materials developed were 4.52 (5-point Likert scale), when averaged across subject, goal, content, teaching/learning activity, and evaluation, and the overall content validity index(CVI) was 0.95. The adequacy of execution, benefit, attractiveness, usefulness, and feasibility were highly with an average of 4.62. Based on the experts' comments, the education plan and activity materials were revised and completed. This study is meaningful in that it developed teaching and learning activities based on online classes after the COVID-19 outbreak, overcoming the limitations of offline classes. It has implications for face-to-face home economics classes due to COVID-19, as it suggests ways to blend online and offline teaching/learning activities depending on the situation.

• Digital Contents
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• no.7 s.158
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• pp.39-45
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• 2006

상반기 국내 디지털 콘텐츠 시장은 전반적으로 상승세를 이어갔지만, 분야별로는 명암이 엇갈렸다. 특히 국내DC 산업을 견인하고 있는 온라인게임의 거침없는 행보가 약간 주춤거리는 모습을 보였다. 이는 메이저 온라인게임업체들이 야심차게 선보인일부 MMORPG 대작들의 예상 밖 부진이 큰 영향을 준 것으로 보인다. 이밖에 올해 상반기 DC시장은 이통사들의 폐쇄적DRM 논란, 온라인상의 UCC 열풍, u러닝시장개화등급 변하는DC산업의 특성을 다시금 확인할 수 있었다.

• Journal of The Korean Association of Information Education
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• v.11 no.3
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• pp.379-387
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• 2007

The purpose of the study was to explore the correlation between in-degree and out-degree centrality Social Network Indices and cognitive and affective learning outcomes measures in an e-Learning environment. Results indicate both the out-degree and in-degree centrality indices are correlated with the cognitive learning outcome measures only. Further, results of the follow-up multiple regression analyses describe the cognitive learning outcome would be predicted by both the in-degree centrality (52%) and out-degree centrality (8%). A discussion is provided to interpret the results and limitations are specified.

• The Journal of Korean Association of Computer Education
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• v.23 no.2
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• pp.53-64
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• 2020

As online learning forms centered on video lectures become more common and constantly increasing, the video-based learning environment applying various educational methods is also changing and developing to enhance learning effectiveness. Learner's log data has emerged for measuring the effectiveness of education in the online learning environment, and various analysis methods of log data are important for learner's customized learning prescriptions. To this end, the study analyzed learner behavior data and predictions of achievement by machine learning in video-based learning environments. As a result, interactive behaviors such as video navigation and comment writing, and learner-led learning behaviors predicted achievement in common in each model. Based on the results, the study provided implications for the design of the video learning environment.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.13 no.5
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• pp.195-201
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• 2013

The government has invested much budget for 5years to do the Smart-education and operate digital textbook services since 2011. The private enterprises also decided to focus on constructing Smart learning system by investing much budget. If these systems are constructed nationwide and therefore can access to cyber university by using smart devices, we can reduce the information gap and study online lectures to get a grade whenever, whoever and wherever we want to. However, these convenient systems can cause serious problems like falsifying grades by hacking if security systems are weak. In this paper, we formulated cyber university which is secured in terms of security. For this, we simulated the smart-learning system which strengthened the security, considering code algorithm and encryption technique.

• Journal of Digital Convergence
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• v.17 no.9
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• pp.173-184
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• 2019

This study investigated the effects of applying the flipped classroom approach with MOOC to the college educational system. A total of six undergraduate students participated in the 10-week innovative learning setting. The participants performed online activities using the learning content from a MOOC website; this was followed by a participatory learning process in the offline classroom. The semi-structured face-to-face interviews for the six participants after the classes were completed and analyzed. The results showed that the instructional method enabled students to be highly motivated and to perform learning activities. However, there were some limitations: (1) learning was impeded due to English language issues and (2) the Korean education culture was still unfamiliar with this pedagogical method. Finally, suggestions for future research are discussed.

• Journal of Internet Computing and Services
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• v.20 no.1
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• pp.57-65
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• 2019

In the case of Domeggook B2B online shopping malls, it has a market share of over 70% with more than 2 million members and 800,000 items are sold per one day. However, since the same or similar items are stored and registered in different catalog entries, it is difficult for the buyer to search for items, and problems are also encountered in managing B2B large shopping malls. Therefore, in this study, we developed a catalog entry auto classification and recommendation system for products by using semi-supervised machine learning method based on previous huge shopping mall purchase information. Specifically, when the seller enters the item registration information in the form of natural language, KoNLPy morphological analysis process is performed, and the Naïve Bayes classification method is applied to implement a system that automatically recommends the most suitable catalog information for the article. As a result, it was possible to improve both the search speed and total sales of shopping mall by building accuracy in catalog entry efficiently.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.9 no.5
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• pp.259-271
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• 2019

The purpose of this study is to examine the potential of flip learning in Korea and to explore the possibilities of university English education. To this end, participants are sought for classes wherein general English class is taught and the researcher is in charge of teaching. 25 students of media-English class is chosen for the study. Instruments for the study include class evaluation and feedbacks, mid-term and final exams, group performative evaluation, on-line class views and participations. The findings of the study are: As students progress in flipped learning classes, their exam results significantly improved, and their performative evaluation results also improved significant across different groups. The effects are more eminent among higher levels of students, but students with mid and low level of English still improved significantly once they engage themselves in preview activity on a regular basis and self-directedly.

• Journal of Korea Society of Industrial Information Systems
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• v.27 no.2
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• pp.11-24
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• 2022

For the questions asked for LMS-based online evaluation the professor directly set exam questions, or use the automatic question-taking method according to the level of difficulty using the question bank divided by category. Among them, it is important to manage the difficulty of questions in an objective and efficient way, above all, in the automatic question-taking method according to difficulty. Because the questions presented to the evaluators may be different. In this paper, we propose an difficulty re-adjustment algorithm that considers not only the correct rate of a problem but also the time taken to solve the problem. For this, a logistic regression classification algorithm was used of machine learning, and a reference threshold was set based on the predicted probability value of the learning model and used to readjust the difficulty of each item. As a result, it was confirmed that there were many changes in the difficulty of each item that depended only on the existing correct rate. Also, as a result of performing group evaluation using the adjustment difficulty problem, it was confirmed that the average score improved in most groups compared to the difficulty problem based on the percentage of correct answers.