• Journal of Digital Convergence
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• v.18 no.1
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• pp.369-377
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• 2020

The purpose of this study is to find out the effect of e-learning quality and learner's usage motivation on e-learning satisfaction in Korea and China. In addition, by comparing and analyzing the factors influencing the satisfaction of learners between the two countries, this study aims to suggest the effective use of e-learning. This study surveyed Korean university students at Y and K universities in Gyeongsangbuk-do and Chinese university students at A university in Henan, China. As a result, for Korean university students, it is showed that learning time, learning space, learning process, usefulness, e-learning information quality, and service quality affect e-learning satisfaction. For Chinese university students, learning time, learning process and e-learning system quality, information quality, and service quality were found to affect e-learning satisfaction. Among them, service quality was an important factor influencing e-learning satisfaction in both countries, but the average score of each factor was very low. In the future, we discussed ways to improve service quality.

• Cartoon and Animation Studies
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• s.40
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• pp.443-476
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• 2015

The university e-learning classes give a major focused on practical training in the art and design field are opened such as theory classes. The cyber universities that fully gives on-line classes even open as theory classes. They speak about difficulty and limitation of operating cyber class with practice. So, many of them organize off-line special lecture at the classroom in weekend. In the reason of studying that has the constraints of time and space, the student wastage rates in cyber universities are going higher. This research focused on giving an efficient e-learning practice environment in college e-learning courses, and operated scholastic achievement test between the augmented reality(AR) based practice education and the existing classroom based practice education. The subjects of study were totally 84 people who are the freshmen of the design department in the two-year diploma course college. They were divided 3 groups which one was treated AR based practice e-learning and two others groups were existing classroom based practice. Each of the group took the same treated lecture during 7 weeks. The first of the outcome was the AR based practice e-learning was more effective than existing classroom based practice on the side of scholastic achievement. The second, the AR based practice e-learning aroused increasing in the interest in class on the side of attribute factors. The third, the AR based practice e-learning group made higher level of studying immersion than others. In consideration of this experiment was processed in the regular college academic course, the finding by this research shows AR based major practice e-learning is an alternative lecturing strategy what can be supplemented existing classroom based academic teaching methods.

• Journal of the Korea Convergence Society
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• v.10 no.10
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• pp.215-222
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• 2019

The purpose of this study is to investigate the change of students' perceptions by comparing factors affecting e-learning intention before and after e-learning experience based on longitudinal data. For this purpose, a research study was conducted targeting university students at Y and K universities in Gyeongsangbuk-do. As a result, first, the convenience of learning time, the ease of learning process, and the usefulness of e-learning had an effect on e-learning intention regardless of the learning experience. Second, the convenience of the learning space was different in the perception before and after the learning experience, and it was found to affect the intention to use after the e-learning experience. Third, college students who have experienced e-learning have shown that the ease of learning process has the most influence on their intention to use. The results of this study can provide an effective direction of e-learning activation and provide basic data for longitudinal research on e-learning learners.

• The Journal of Korean Association of Computer Education
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• v.16 no.3
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• pp.49-60
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• 2013

This study is aimed to investigate that the blended e-learning could enhance the effectiveness compared to the conventional lecture performed in classroom. At first, both the CbE(Class based E-learning) and the EbC(E-learning based Class) mode have been generated in blended e-learning operation method following the process which analyze the various studies of interest. In addition, the instruction structures of Z Type(Zigzag model) and H-Type(Ladder model) were established as proposed model. The H-Blended e-learning based on CbE mode was introduced in the Excel Spread Sheet subject which held in A University to achieve the goal of this study. Learners were categorized and belonged to either the group 1(over 50% of attendance in cyber lecture) or the group 2(the rest of them). The data analysis was performed with $x^2$-test, t -test to compare the achievement of study between groups. The t -test result showed that the academic achievement in learning with group 1 was statistically significant than the learner in group 2. The effectiveness of the blended e-learning has been proved as the logistic regression analysis showed that the rate of the attendance in the cyber lecture functioned as indicator that enable to predict the acceptance.

• 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.

• Journal of the Korea Convergence Society
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• v.12 no.2
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• pp.301-309
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• 2021

The purpose of this study is to investigate the relationship between academic stress and e-learning intentions of university students, and to determine the moderating effect on the attractiveness of alternatives. Data collection was conducted from 18 May to 22 May 2020 using 317 questionnaires. The collected data were analyzed using SmartPLS. As a result of the study, among the academic stresses of university students, stress due to class, grades, and interpersonal relationships has a relationship with the intention to use e-learning. However, the test stress did not have a significant effect on the intention to use e-learning, and the modulating effect on the attractiveness of the alternative was also not significant. This study suggests that various and attractive e-learning can be provided within the university by highlighting the importance of healthy university life and e-learning for university students.

• Journal of the Korea Convergence Society
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• v.10 no.10
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• pp.283-289
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• 2019

This study classifies the characteristics of e-learning learners into personal and psychological factors and examines how they affect the e-learning effects and intention to reuse. For this purpose, a research study was conducted targeting university students at Y and K universities in Gyeongsangbuk-do. As a result, first, the grade, self-control, concentration and self-efficacy of the learner influenced the learning effect of e-learning. Second, learner's grade, e-learning experience, self-efficacy, and learning effect were found to influence e-learning intention. Therefore, the system design and the managerial role of the instructor should be considered in order to develop various contents considering the characteristics of university students and to manage the learning process by themselves. The results of this study are expected to provide effective data for improving the learning effect of e-learning and to provide basic data on individual characteristics of e-learning learners.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2017.05a
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• pp.219-221
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• 2017

Recently, MOOC (Massive Open Online Course), which has the characteristics of open content, has been changing the paradigm of university education as it is being serviced by various universities. In addition, MOOC based e-learning service has been developed into various types. The quality management of MOOC-based e-learning services has been studied on the general factors provided by MOOC regardless of MOOC type so far. In this study, we propose a method to improve the quality management of MOOC - based e - learning service by analyzing the factors affecting the quality of e - learning service by MOOC type.

• Journal of the Korean Society of Radiology
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• v.15 no.1
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• pp.15-20
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• 2021

CT is important role in the medical field, such as disease diagnosis, but the number of examination and CT images are increasing. Recently, deep learning has been actively used in the medical field, and it has been used to diagnose auxiliary disease through object detection during deep learning using medical images. The purpose of study to evaluate accuracy by detecting kidney and vertebrae during abdominal CT using object detection deep learning in YOLOv3. As a results of the study, the detection accuracy of the kidney and vertebrae was 83.00%, 82.45%, and can be used as basic data for the object detection of medical images using deep learning.

• Annual Conference on Human and Language Technology
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• 2019.10a
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• pp.280-283
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• 2019

공손함은 인간 언어의 가장 흥미로운 특징 중 하나이며, 자연어처리 시스템이 인간과 자연스럽게 대화하기 위해 필수적으로 모델링해야 할 요소이다. 본 연구에서는 인간의 발화가 주어졌을 때, 이의 공손함을 판단할 수 있는 시스템을 구현한다. 이를 위해 딥러닝 방법인 양방향 LSTM 모델과, 최근 자연어처리 분야에서 각광받고 있는 BERT 모델에 대해 성능 비교를 수행하였다. 이 두 기술은 모두 문맥 정보를 반영할 수 있는 모델로서, 같은 단어라도 문맥 정보에 따라 의미가 달라질 수 있는 공손함의 미묘한 차이를 반영할 수 있다. 실험 결과, 여러 설정에 거쳐 BERT 모델이 양방향 LSTM 모델보다 더 우수함을 확인하였다. 또한, 발화가 구어체보다 문어체에 가까울 수록 딥러닝 모델의 성능이 더 좋은 것으로 나타났다. 제안된 두 가지 방법의 성능을 인간의 판단 능력과 비교해본 결과, 위키피디아 도메인에서 BERT 모델이 91.71%의 성능을 보여 인간의 정확도인 86.72%를 상회함을 확인하였다.