• The Journal of Korean Association of Computer Education
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• v.18 no.1
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• pp.55-68
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• 2015

The purpose of the study is to examine a structural relationship among mobile self-efficacy, mobility, perceived ease of use, perceived usefulness, and intention to use of a mobile learning service using technology acceptance model. The result revealed that mobile self-efficacy, mobility had a direct effect on perceived ease of use. Second, mobile self-efficacy, mobility, perceived ease of use had a direct effect on perceived usefulness. Third, mobile self-efficacy, mobility, perceived usefulness had a direct effect on intention to use of a mobile learning service. However, perceived ease of use did not have a effect on behavioral intention of mobile learning service.

• Management & Information Systems Review
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• v.34 no.5
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• pp.127-148
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• 2015

The results indicate that direction of online reviews have a significant effect on both information reliability and product attitude. In addition, consumers' shopping experience also shows a moderating effect between the direction of online reviews and the dependent variables. Furthermore, product type also shows a moderating effect on the information reliability, yet not on the product attitude. In clarify the relationship between the satisfaction and success of smart-learning smart learning and learner analyzes the main factors that affect the learning flow results, The smart learning variety of properties, personalization, complexity affects the learning flow variety, personalization, ubiquity affects the interaction, It was analyzed by a useful impact on the learner interactivity and immersive learning outcomes. This gives the implications of the smart learning attributes are important in order to maximize the learning experience for smart learning.

• KIPS Transactions on Software and Data Engineering
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• v.9 no.11
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• pp.329-331
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• 2020

Edutech is a compound word of education and technology, and is an educational paradigm in the era of the 4th industrial revolution. This refers to next-generation education using information and communication technology (ICT) such as big data, artificial intelligence (AI), robots, and virtual reality (VR) of the 4th industrial revolution. e-Learning is being used as an online lecture for education in ICT, but edutech is attracting attention along with e-learning as the feeding of non-face-to-face education has rapidly increased due to COVID-19. Therefore, this paper summarizes the reviewed papers on the blockchain-based badge service platform, simulation-based collaborative e-Learning system, video English dictionary, and blockchain-based access control audit system.

• Information Systems Review
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• v.22 no.4
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• pp.75-92
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• 2020

As population and generation structures change, more and more customers tend to avoid facing relation due to the development of information technology and spread of smart phones. This phenomenon consists with efficiency and immediacy, which are the consumption patterns of modern customers who are used to information technology, so offline network-oriented distribution companies actively try to switch their sales and services to untact patterns. Recently, untact services are boosted in various fields, but beauty products are not easy to be recommended through untact services due to many options depending on skin types and conditions. There have been many studies on recommendations and development of recommendation systems in the online beauty field, but most of them are the ones that develop recommendation algorithm using survey or social data. In other words, there were not enough studies that classify segments based on user information such as skin types and product preference. Therefore, this study classifies customer segments using machine learning technique K-prototypesalgorithm based on customer information and search log data of mobile application, which is one of untact services in the beauty field, based on which, untact marketing strategy is suggested. This study expands the scope of the previous literature by classifying customer segments using the machine learning technique. This study is practically meaningful in that it classifies customer segments by reflecting new consumption trend of untact service, and based on this, it suggests a specific plan that can be used in untact services of the beauty field.

• Journal of the Korea Society of Computer and Information
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• v.16 no.3
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• pp.189-201
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• 2011

In this paper, we design an ontology which provides interoperability by integrating typical metadata specifications and defines concepts and semantic relations between concepts that are used to describe metadata for learning objects in university courses. And we organize a hierarchical structured e-Learning system for efficient retrieval of learning objects on many local storages that use different specifications to describe metadata and propose a query processing method based on inferences. The proposed e-Learning system can provide more accurate and satisfactory retrieval service by using the designed ontology because both learning objects that be directly connected to user queries and deduced learning objects that be semantically connected to them are retrieved.

• Journal of the Korean Society for Library and Information Science
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• v.43 no.3
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• pp.147-162
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• 2009

In this study, our purpose was to develop the metadata elements for archiving e-learning content being generated by universities. In order to achieve this goal, we first examined the current status of e-learning content providing services both domestically and overseas and then compared each standard for metadata for e-learning content built for educational purposes. We found that KEM (Korea Education Metadata) 3.0, a server being provided by KOCW (Korea Open CourseWare), does not currently accommodate the metadata elements for archiving. In this study, we extended and added the scope of metadata elements for archiving based on KEM 3.0. We also tried to build up metadata for archiving the e-learning content provided based on KEM 3.0+. As a result of this study, a basis for archiving elLearning content is expected to be founded.

• Journal of Industrial Technology
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• v.30 no.A
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• pp.45-47
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• 2010

In legacy e-learning web service, as deployed contents are changed, web services should be changed together. In addition, it can not coordinate and manage the various e-learning services recently emerged. In this paper, an e-learning platform based on Service-Oriented Architecture (SOA) is proposed to solve these problems. We design and implement an e-learning system based on Service abstraction layer concepts. The implemented system can provide the new e-learning services within short development periods.

• Journal of Advanced Navigation Technology
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• v.13 no.5
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• pp.781-786
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• 2009

The cloud computing environment is a new trend of web based application parts. It can be IT business model that is able to easily support learning service and allocate resources through the internet to users. U-learning also is a maximal model with efficiency of the internet based learning. Thus, in this research, we proposed a design of u-learning's teaching and learning model that is applying the internet based learning. Proposal method is to fit u-learning and has 7 steps: Preparing, planning, gathering, learning process, analysis and evaluation, and feedback. We make a cloud u-learning server and cloud LMS to process and manage the service. And We also make a mobile devices meta data to aware the model.

• Digital Contents
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• no.9 s.148
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• pp.60-63
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• 2005

LCMS의 정의가 바뀌고 있다. 그동안 LCMS는 LMS와 개념 구분조차 이뤄지지 못했던 것에서 벗어나 e러닝 기술의 전반적인 변화와 발전을 수용하는 방향으로 진화하고 있다. 이에 따라 향후 LCMS는 사용자간 데이터와 콘텐츠를 주고받을 수 있는 지능형 서비스를 수행하는 동시에 웹서비스 등 개방형 환경과 연계된 시스템으로 발전될 전망이다.

• The Journal of the Korea Contents Association
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• v.14 no.6
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• pp.477-490
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• 2014

The purpose of this study is to investigate factors influencing continuous usage intention of mobile learning and suggest practical strategies to enhance learners' continuous usage intention of mobile learning. In this study, we hypothesized that system quality, information quality, service quality and personal innovativeness have a positive effect on effort expectancy and performance expectancy, which ultimately have a positive effect on continuous usage intention. In order to examine structural relationship among variables, we surveyed 279 students who took courses at W Cyber University in 2013 fall semester. After collecting data, we examined causal relationship among variables using Structural Equation Modeling. The results of this study are as follows: First, system quality and personal innovativeness significantly affect effort expectancy. Second, information quality, service quality and personal innovativeness significantly affect performance expectancy. Last of all, effort expectancy and performance expectancy significantly affect continuous usage intention of mobile learning.