首页> 外文会议>2011 International Conference on Electrical Engineering and Informatics >Instructor's success measures of Learning Management System
【24h】

Instructor's success measures of Learning Management System

机译:教师学习管理系统的成功措施

获取原文

摘要

Distance learning has been used widely as a helpful solution by many institutions to offer learning on demand opportunities to working adults. Educational technology evaluation model (ETM) have been tested in large sample size among students, and little research has been conducted to measure the success of distance learning technologies such as Learning Management System (LMS) from the point of view of instructors. Based on previous literature of critical success factors (CSF), this study validated a multidimensional model for assessing distance learning management systems success from the perspective of the instructors. To conceptualizing the ETM, measuring factors, collecting data procedure, reliability and validity testing are described. Structural Equation Modelling (SEM), which is a statistical technique, is used to estimate a series of interrelated dependence relationships of ETM factors simultaneously. This technique is applied to help in generating a model of relationships among variables. This paper presents results of the instrument reliability and constructs validity by analyzing data from a sample of 110 participants. Managerial and theoretical implications of the results are discussed. This empirical validation of the ETM will be useful to researchers in developing and measuring distance learning technologies, as well as to organizations in implementing successful distance learning technologies.
机译:远程学习已被许多机构广泛用作有用的解决方案,以为在职成年人提供按需学习的机会。教育技术评估模型(ETM)已在学生中进行了大样本测试,从教员的角度来看,很少进行研究来衡量远程学习技术(例如学习管理系统(LMS))的成功。基于关键成功因素(CSF)的先前文献,本研究验证了从讲师的角度评估远程学习管理系统成功的多维模型。为了概念化ETM,描述了测量因素,收集数据过程,可靠性和有效性测试。结构方程模型(SEM)是一种统计技术,用于同时估算ETM因子的一系列相互关联的依存关系。该技术用于帮助生成变量之间的关系模型。本文介绍了仪器可靠性的结果,并通过分析110名参与者的数据来构建有效性。对结果的管理和理论意义进行了讨论。 ETM的这种经验性验证将对研究人员开发和衡量远程学习技术以及组织实施成功的远程学习技术很有用。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号