• Title/Summary/Keyword: e-learning model

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Dropout Prediction Modeling and Investigating the Feasibility of Early Detection in e-Learning Courses (일반대학에서 교양 e-러닝 강좌의 중도탈락 예측모형 개발과 조기 판별 가능성 탐색)

  • You, Ji Won
    • The Journal of Korean Association of Computer Education
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    • v.17 no.1
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    • pp.1-12
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    • 2014
  • Since students' behaviors during e-learning are automatically stored in LMS(Learning Management System), the LMS log data convey the valuable information of students' engagement. The purpose of this study is to develop a prediction model of e-learning course dropout by utilizing LMS log data. Log data of 578 college students who registered e-learning courses in a traditional university were used for the logistic regression analysis. The results showed that attendance and study time were significant to predict dropout, and the model classified between dropouts and completers of e-learning courses with 96% accuracy. Furthermore, the feasibility of early detection of dropouts by utilizing the model were discussed.

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Development of a Task Model of e-Learning Quality Managers Based on the DACUM Method (DACUM 직무 분석 기법을 통한 이러닝 품질 관리사의 직무 모형 개발)

  • Ryu, Jin-Sun;Kim, Hee-Pil
    • Journal of Engineering Education Research
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    • v.15 no.2
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    • pp.10-19
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    • 2012
  • The purpose of this study was to analyze job of e-learning quality managers based on the DACUM(Developing A Curriculum) method and to construct a task model of e-learning quality managers. A DACUM committee was composed to analyze job of e-learning quality managers and the committee members were total 12, those are one facilitator, 9 panel members, one recorder and one coordinator. The major findings of this study were as the followings; first, the number of job duty of e-learning quality managers were total 7, which were service planing, infrastructure building, of content developing, service evaluating, administration for quality managing, self-improvement. And total tasks of job of e-learning quality managers were 61. Second, 14 knowledge, 21 skill, 19 attitudes for e-learning quality managers were analyzed. Third, a task model of e-learning quality managers was constructed based on the results of DACUM job analysis.

U-Learning: An Interactive Social Learning Model

  • Caytiles, Ronnie D.;Kim, Hye-jin
    • International Journal of Internet, Broadcasting and Communication
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    • v.5 no.1
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    • pp.9-13
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    • 2013
  • This paper presents the concepts of ubiquitous computing technology to construct a ubiquitous learning environment that enables learning to take place anywhere at any time. This ubiquitous learning environment is described as an environment that supports students' learning using digital media in geographically distributed environments. The u-learning model is a web-based e-learning system that could enable learners to acquire knowledge and skills through interaction between them and the ubiquitous learning environment. Students are allowed to be in an environment of their interest. The communication between devices and the embedded computers in the environment allows learner to learn while they are moving, hence, attaching them to their learning environment.

Effects of Learning Expectation and Perceived Knowledge Sharing on User Satisfaction and IS Continuance (학습기대와 지식공유 지각이 사용자 만족과 지속사용에 미치는 영향)

  • Kim, In Chan;Baek, Seung Nyoung
    • The Journal of Information Systems
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    • v.28 no.4
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    • pp.377-401
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    • 2019
  • Purpose The purpose of this study is to investigate the effects of learning expectation and perceived knowledge sharing on user satisfaction and IS continuance in the Korean Army which is currently using the Regiments' Information System to help their Integrated Administration Management. Based on both the Information System(IS) Continuance Model and IS Success Model, this study also examine the role of system quality on user satisfaction. We develop a research model(structural equation model) and its hypotheses that learning expectation, perceived knowledge sharing, and system quality increase users' satisfaction, which leads to IS continuance. The effect of learning expectation on perceived knowledge sharing is also hypothesized. Design/methodology/approach Online Survey using e-mails was administered to test our research model and associated hypotheses. Among the 360 e-mail letters including our survey questionnaire, 285 responses were collected via e-mails. Meaningful 225 cases were analyzed for our study. SPSS Statistics 24.0 and SmartPLS 3.0 were used to analyze both measuremant test and hyotheses test by using the data set. Findings Survey results show that learning expectation(confirmation variable), learning expectation, perceived knowledge sharing(a perceived usefulness variable), and system quality(a system characteristic) each increases user satisfaction, which leads to IS continuance, under the control of the effect of habit to use information systems. Learning expectation also has a positive influence on perceived knowledge sharing. Theoretical and practical implications are presented.

An Empirical Study on the Factors Affecting Personnel e-Learning Acceptance (개인의 e-Learning 수용에 미치는 요인에 관한 연구)

  • Lee Seok-Yong;Seo Chang-Gab;Kim Yoo-Il
    • The Journal of Information Systems
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    • v.15 no.2
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    • pp.49-75
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    • 2006
  • The main purpose of this study is to identify the factors affecting personnel e-Learning acceptance. We used self-efficacy and perceived playfulness as independent variables to extended Technology Acceptance Model in an e-Learning contort. Perceived playfulness is the one of the important personal intrinsic motivational factors which could enlarge the understanding process of technology acceptance in the personal perspective. Questionnaires were collected from 94 respondents who experienced e-Learning systems that L Corporation provided. This study developed and empirically tested a model representing the relationship by using Structural Equation Model among factors which are: perceived usefulness, perceived ease of use, perceived playfulness, self-efficacy and attitudes. Also we measured affective and cognitive attitude because, most psychometric literature explain attitude has two different dimensions which are affective and cognitive. The major findings of the study are summarized as follows. Firstly, the higher the perceived usefulness the more affected the behavioral intention was to use as well as attitude to be positive. Secondly, as much as perceived playfulness more affected the perceived ease of use as well as self-efficacy. Finally, the perceived ease of use and self-efficacy are not significantly affected attitude while they are affected perceived usefulness and perceived playfulness.

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Development and Evaluation of the e-learning Orientation Program for Nursing Student's Adapting to Clinical Practicum (임상실습 적응을 위한 e-learning 오리엔테이션 프로그램 개발 및 평가)

  • Yi, Yeo Jin
    • Korean Journal of Adult Nursing
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    • v.19 no.4
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    • pp.593-602
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    • 2007
  • Purpose: The purpose of this study was to develop an e-learning orientation program for nursing students(junior), to evaluate the program, and to find out its effects on adapting to clinical practicum. Methods: The e-learning orientation program was developed according to ADDIE model(analysis, design, develop, implement, evaluate) using an Active Tutor Program. Twelve nursing professionals and 31 nursing students(learners) evaluated the e-learning orientation program. Thirty one nursing students participated in the e-learning orientation program both on-line and off-line. Results: The e-learning orientation program consisted of 5 parts including 'Taking a lesson in gastrointestinal tract', 'Fundamental nursing skill and reading a medical chart', 'Taking a ward orientation by head nurse', 'Clinical practice with preceptors', and 'Writing for case report'. Adapting scores to clinical practicum were significantly different between pre-test and post-test(t=-5.76, p=.000). Conclusion: The e-learning orientation program of on-line and off-line has an effect on adapting to clinical practicum for nursing students.

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Sharing e-Learning Object Metadata Using ebXML Registries for Semantic Grid Computing

  • Kim, Hyoung-Do
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.2 no.5
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    • pp.239-252
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    • 2008
  • To facilitate the processes of e-learning resource description, discovery and reuse, e-learning objects should be appropriately described and classified using standard metadata that 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 semantic grid computing for annotating, storing, discovering and retrieving e-learning object metadata. For semantic annotation of e-learning objects, IEEE Learning Object Metadata (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 Registry Information Model (RIM) is proposed. The usefulness of sharing e-learning object metadata is demonstrated by prototyping a semantic registry based on the scheme.

Investigation for an e-Learning Instructional Design Model for Business Performance (성과 창출 과정으로서의 e-러닝 교수설계 모형)

  • Jo, Il-Hyun
    • Knowledge Management Research
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    • v.9 no.4
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    • pp.35-49
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    • 2008
  • The purpose of the study is to develop and validate an instructional design model from the perspective of the knowledge creation. To serve the purpose, the researcher conducted 1) literature review to find causal relationship model among knowledge creation factors and to propose a hypothetical instructional design model, 2) data analysis with 50 senior level e-Learning instructional designers, and 3) testing the fitness of the proposed model and relevant causal-relational hypotheses. Results indicate; 1) the proposed model fit to the empirical evidence, 2) 6 hypotheses among 11 were validated. A typical instructional designer's personal competency was evidenced as the most powerful independent variable that predicted knowledge acquisition, knowledge sharing, and the application of the instructional models. However, the expected effect of instructional design models toward other dependent variable was not be found. In addition, further suggestions for the future research are addressed.

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A Study on the Operation of Education Using Library Using Flip Learning Techniques: Focusing on ubiquitous E-learning that reflects gaming elements

  • KIM, KiTae;WOO, HoSung
    • Fourth Industrial Review
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    • v.2 no.2
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    • pp.1-9
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    • 2022
  • Purpose - The purpose is to present an efficient library-use education model in the form of flip learning, reflecting traditional teaching methods and gamification elements even in such non-face-to-face and face-to-face situations after COVID-19. Research design, data, and methodology - Research on library use education, research on ubiquitous environment and gamification instructional design, flip the learning, and gamification elements are classified, compared, and analyzed to present educational models for library education, COVID-19 Pandemic situation, and subsequent library use education. Result - We propose an e-learning content development strategy for flipped learning-based library education. First, benchmark and use the existing educational contents. Second, a user-friendly interface is configured so that learners can flexibly organize their learning contents. Third, it allows learners to experience it directly or indirectly in a virtual space. Conclusion - If the e-learning environment can be standardized to the level of schools or educational institutions, a good educational model that can be used not only in library user education but also in other fields will be possible.

The study on implementation of modified SCORM standard for effective design of goal driven personalized e-learning system (목표지향 개인화 이러닝 시스템의 효율적인 설계를 위한 SCORM 표준의 수정제안 구현 연구)

  • Lee, MiJoung;Kim, KiSeok
    • The Journal of Korean Association of Computer Education
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    • v.12 no.3
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    • pp.41-51
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    • 2009
  • In this thesis, we suggested an e-learning model, which is named 'goal driven personalized e-learning system' to improve educational effects, and implemented it. The system makes the learner choose the learning goal which could be a motivational power for learning, so it enabled self-directed learning. In order to implement the system, we proposed new standards related to personalization by modifying SCORM 2004 standard. New standards stand for the statistics on learning objects usage, a goal for driving learning. and information of the contents model and the sequencing information model, which are parts of the system previously suggested. We implemented the system, and then proved that personalize e-learning is possible by showing that the system could offer a learning path individually to learners who have different characteristics.

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