• Title/Summary/Keyword: Learning Management Services

Search Result 353, Processing Time 0.032 seconds

Mobilizing Learning: Using Moodle and Online Tools via Smartphones

  • Al-Kindi, Salim Said;Al-Suqri, Mohammed Nasser
    • International Journal of Knowledge Content Development & Technology
    • /
    • v.7 no.3
    • /
    • pp.67-86
    • /
    • 2017
  • The emergence of smart devices such as smartphones (e.g., iPhone) and tablets (e.g., iPad) may enhance e-learning by increasing communication and collaborative learning outside the classroom. These devices also facilitate the use of online technologies such as Facebook. However, the adaptation of Learning Management System (LMS) services to mobile devices took longer than social networks or online tools such as Facebook and Twitter have already been long used via smartphone. The main purposes of this study are to explore students' skill levels of LMS (Moodle) and their knowledge of online tools or technologies and then examine if there is a correlation between smartphone use and using of online tools and Moodle in learning. The study conducted among 173 students in the Department of Information Studies (DIS) in Oman, using online survey. The study found that most students demonstrated high levels of accessing course/subject materials and regularly engaging with studies of using LMSs. YouTube, Wikipedia and Facebook were clearly recorded as the most popular sites among students while LinkedIn and Academia.edu were two online tools that had never been heard of by over half of the 142 participants. Emailing and searching are recorded the most popular online learning activities among students. The study concluded that students prefer to use smartphone for accessing these tools rather than using it to access LMSs, while a positive correlation was found between the use of these tools and smartphones, but there was no correlation between smartphones and using LMSs.

Study on the Effect of Learning Orientation of the Employees in Social Welfare Institutions on Job Satisfaction (사회복지기관 종사자의 학습지향성이 직무만족에 미치는 영향에 관한 연구)

  • Choi, Ho-Young
    • Journal of the Korea Society of Computer and Information
    • /
    • v.14 no.12
    • /
    • pp.209-216
    • /
    • 2009
  • The employees in social welfare institutions have an importance of learning due to jop specialty more than any one else. That is because there are a variety of increasing needs in social welfare services and customer-oriented welfare services. On the basis of that, this study shows how learning orientation theories as a new organization management strategy affects the employees in social welfare institutions. It shows cause and effect relation by establishing hypothesis model based on the preceding researches. It performed empirical analysis on the employees in social welfare institutions in G metropolitan city. As a result, the hypothesis was tested that learning flow, vision sharing, openness have significant effects on member's jop satisfaction. It implies that job satisfaction can be improved, if the level of learning flow, vision sharing, openness of the employees in social welfare institutions are promoted.

Building Open API Ontologies based (ll Semantics for Smart Mashup (스마트 매쉬업을 위한 시맨틱 기반 Open API 온톨로지 구축 기법)

  • Lee, Yong Ju
    • Journal of Korea Society of Digital Industry and Information Management
    • /
    • v.7 no.3
    • /
    • pp.11-23
    • /
    • 2011
  • Recently, Open APIs are getting attention with the advent of Web 2.0. Open APIs are used to combine services and generate new services by Mashup. However, the growing number of available Open APIs raises a challenging issue how to locate the desired APIs. We automatically build ontologies from WSDL, WADL, HTML, and their underlying semantics. The key ingredient of our method is a technique that clusters input/output parameters in the collection of API methods into semantically meaningful concepts, and captures the hierarchical relationships between the terms contained in a parameter. These semantic ontologies allow search engines to support a similarity search for Open APIs based on various protocols such as SOAP, REST, JavaScript, and XML-RPC, and significantly improve the quality of APIs matching by the clustering and hierarchical relationships mechanism.

A Curriculum Development on the Disaster Management (재해관리에 대한 교육과정 개발)

  • 강윤숙;이옥철;이계복
    • Journal of Korean Academy of Nursing
    • /
    • v.28 no.1
    • /
    • pp.210-220
    • /
    • 1998
  • The various and serious types of disaster occur everyday and everywhere on the earth. There is no doubt that it is very timely to discuss about the effectiveness and preparedness of disaster. The purpose of this study is to develop a curriculum on the disaster management through reviewing disaster concepts and the disaster management system. For the empirical relevance of the study, researchers participated in a couple or more disaster training program, reviewed references, and consulted to the experts working on action parts in the area. As a result, the 'Integrated Disaster Management System Model (IDMSM)' was designed, in which four dimensions were explained. Then the 'Disaster Curriculum Model (DCM)' was explored with its theoretical framework based on the system model. The developed curriculum is composed of four levels ; the introductory course, the fundamental course, the advanced course, and the expert course. From this DCM, basically the course-outlines of two subjects in the introductory course, 18 subjects in the fundamental course (5 of direct services. 13 of indirect services) were developed. Also each course-outline was explored by its course objective, learning objectives, contents, and its length. Finally to make the most of the results, suggestions are proposed. The governmental considerations on the policy should support the systematic and integrated educational program to practice, appointing 「Disaster School」 or 「Disaster Training Center」 of relevance and accountabilities. The further study should explore the higher levels of the DCM through interdisciplinary efforts, and develop the text aterials. ilities. The further study should explore the higher levels of the DCM through interdisciplinary efforts, and develop the text materials.

  • PDF

Convergence Analysis of Recognition and Influence on Bigdata in the e-Learning Field (이러닝 분야의 빅데이터에 관한 인식과 영향에 관한 융합적 분석)

  • Noh, Kyoo-Sung
    • Journal of Digital Convergence
    • /
    • v.13 no.10
    • /
    • pp.51-58
    • /
    • 2015
  • The utilization of Big data in the field of education has spread around the developed countries. However, in Korea, there are only experimental approaches related to Bigdata, yet for the related researches and services to appear. Therefore, it is the situation that needs to understand the reason for poor use of big data in the e-Learning industry, study and seek out alternatives to solve these problems. The result of this study shows that it was investigated that the high level of understanding of Bigdata has recognized large impact on e-Learning of Big Data and the more large-scale sales companies have recognized large impact on e-Learning of Big Data in the e-Learning industry. In conclusion, this study makes a proposal to expand the training and utilization policies of Bigdata relating to different sales scales.

A Study of Deep Learning-based Personalized Recommendation Service for Solving Online Hotel Review and Rating Mismatch Problem (온라인 호텔 리뷰와 평점 불일치 문제 해결을 위한 딥러닝 기반 개인화 추천 서비스 연구)

  • Qinglong Li;Shibo Cui;Byunggyu Shin;Jaekyeong Kim
    • Information Systems Review
    • /
    • v.23 no.3
    • /
    • pp.51-75
    • /
    • 2021
  • Global e-commerce websites offer personalized recommendation services to gain sustainable competitiveness. Existing studies have offered personalized recommendation services using quantitative preferences such as ratings. However, offering personalized recommendation services using only quantitative data has raised the problem of decreasing recommendation performance. For example, a user gave a five-star rating but wrote a review that the user was unsatisfied with hotel service and cleanliness. In such cases, has problems where quantitative and qualitative preferences are inconsistent. Recently, a growing number of studies have considered review data simultaneously to improve the limitations of existing personalized recommendation service studies. Therefore, in this study, we identify review and rating mismatches and build a new user profile to offer personalized recommendation services. To this end, we use deep learning algorithms such as CNN, LSTM, CNN + LSTM, which have been widely used in sentiment analysis studies. And extract sentiment features from reviews and compare with quantitative preferences. To evaluate the performance of the proposed methodology in this study, we collect user preference information using real-world hotel data from the world's largest travel platform TripAdvisor. Experiments show that the proposed methodology in this study outperforms the existing other methodologies, using only existing quantitative preferences.

A Study on the Current Status and Application Strategies for Intelligent Archival Information Services (지능형 기록정보서비스를 위한 선진 기술 현황 분석 및 적용 방안)

  • Kim, Tae-Young;Gang, Ju-Yeon;Kim, Geon;Oh, Hyo-Jung
    • Journal of Korean Society of Archives and Records Management
    • /
    • v.18 no.4
    • /
    • pp.149-182
    • /
    • 2018
  • In the era of digital transformation, new technologies have begun to be applied in the field of records management, away from the traditional view that emphasized the existing institutional and administrative aspects. Therefore, this study analyzed the service status of archives, libraries, and museums applied with advanced intelligent technology and identified the differences. Then, we proposed how to apply intelligent archival information services based on the analysis results. The reason for including libraries and museums in the research is that they are covered by a single category as an information service provider. To achieve our study aims, we conducted literature and case studies. Based on the results of the case study, we proposed the application strategies of intelligent archival information services. The results of this study are expected to help develop intelligent archival service models that are suitable for the changed electronic records environment.

Blockchain-Based Access Control Audit System for Next Generation Learning Management (차세대학습관리를 위한 블록체인 기반의 접근제어 감사시스템)

  • Chun, Ji Young;Noh, Geontae
    • KIPS Transactions on Software and Data Engineering
    • /
    • v.9 no.11
    • /
    • pp.351-356
    • /
    • 2020
  • With the spread of COVID-19 infections, the need for next-generation learning management system for undact education is rapidly increasing, and the Ministry of Education is planning future education through the establishment of fourth-generation NEIS. If the fourth-generation NEIS System is well utilized, there are advantages such as providing personalized education services and activating the use of educational data, but a solution to the illegal access problem in an access control environment where strict authorization is difficult due to various user rights. In this paper, we propose a blockchain-based access control audit system for next-generation learning management. Sensitive personal information is encrypted and stored using the proposed system, and when the auditor performs an audit later, a secret key for decryption is issued to ensure auditing. In addition, in order to prevent modification and deletion of stored log information, log information was stored in the blockchain to ensure stability. In this paper, a hierarchical ID-based encryption and a private blockchain are used so that higher-level institutions such as the Ministry of Education can hierarchically manage the access rights of each institution.

A Study on Implementation of NAS-based K-12 Learning Management System for Supporting Developing Countries (개발도상국 지원을 위한 NAS기반의 K-12 학습관리 시스템 구현 방안에 대한 연구)

  • No, In-Ho;Yoo, Gab-Sang;Kim, Hyeock-Jin
    • Journal of Digital Convergence
    • /
    • v.17 no.1
    • /
    • pp.179-187
    • /
    • 2019
  • Developing countries, including Africa, are experiencing very little human resources development due to the deprivation of equal educational opportunities, poor educational conditions, and the gap in information technology with developed countries. Developing countries that do not have excellent human resources are lagging behind in globalization competition with developed countries, and the problem of 'human resource development' in developing countries can not be avoided. In developing countries, education budgets are too low to meet education needs and compulsory education, and therefore they are not adequately responding to the increasing demand for education. The lack of education budget is due to the lack of education infrastructure. In this study, the NAS based server is configured to configure functions such as educational content and learning management, and the client area is presented with solutions for various media such as tablet, PC, and beam projector. And to support optimized e-learning services in developing countries by constructing a SCORM-based platform.

Study on Activate Methods for Digital Contents Service to Support Academic Courses in e-Learning (e-Learning 강의 지원을 위한 디지털콘텐츠 서비스 활성화 방안연구 - I 대학 교수.학생.도서관서비스를 중심으로 -)

  • Lee, Jong-Won;Go, Chan
    • Journal of Digital Convergence
    • /
    • v.8 no.2
    • /
    • pp.89-102
    • /
    • 2010
  • The present thesis aims to analyze in consideration of recent changes in teaching environment in the universities the commercial digital contents and e-learning courses provided by the libraries, and to propose the ways to encourage university library service needed under the current situation. A survey of professors and students upon the quality of commercial digital contents service provided by the libraries in I University was made to measure its influence upon e-learning courses. The quality of commercial digital contents service provided by libraries was measured through Digital Library Service Quality Index (which will be referred as DL-SQL Model from here), which is used as a model to examine the Digital Library Service, with partial adjustments of 4 levels (information system service, digital books service, customer service quality, and customer community service) and 7 components (search possibility, an exclusive organization and interface, accessibility, digital books, customer support service, personalized service, and customer community). Among the library services in regard to digital contents, "customer service" and "customer community service" were analyzed to have stronger influence upon e-learning teaching and studying than quality-based service for "information system" and "digital books". Consequently, it is concluded that customized information service provided by the library for the professors who teach e-learning courses and their students is more influential to supporting e-learning courses than quantity pushing service through purchasing commercial digital contents, upon which the direction of digital contents policy to provide library services for e-learning courses should be based.

  • PDF