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The effectiveness of e-learning:An explorative and integrative review of the definitions, methodologies and factors that promote e-Learning effectiveness

机译:电子学习的有效性:对促进电子学习有效性的定义,方法和因素进行探索性和综合性审查

摘要

A structured search of library databases revealed that research examining the effectiveness of e-Learning has heavily increased within the last five years. After taking a closer look at the search results, the authors discovered that previous researchers defined and investigated effectiveness in multiple ways. At the same time, learning and development professionals within public and private organisations are increasingly being asked to prove the effectiveness of their learning and development initiatives. This paper investigates the effectiveness of e-Learning through an integrative review. The paper answers the following research questions: How is the effectiveness of e-Learning defined? How is the effectiveness of e-Learning measured? What makes e-Learning solutions effective? The authors discovered 19 distinct ways to define effectiveness, the most common of which is ‘learning outcome’, appearing in 41 % of the articles examined in the literature review. Moreover, the most common way to measure effectiveness is quantitatively with pre- and post-tests. This paper includes an empirical study of an e-Learning solution for science teachers (K–12) which serves as a valuable addition to the findings of the literature study. The study suggests that it is difficult to use e-Learning to improve teaching performance, as participating teachers can apply several strategies to avoid substantially changing their work-related practices. Furthermore, the study shows that only using the fulfilment of pre-defined learning objectives as an effectiveness parameter does not allow developers and researchers to see unexpected and unintended changes in practice that occur as a result of the e-Learning program. Finally, the research provides insight into the validity of self-assessments, suggesting that participants are able to successfully report their own practices, provided certain qualitative survey approaches are used. In this paper, a model for understanding the relationships of the key factors that influence effectiveness is developed. The model categorises these factors from three perspectives: the context in which the e-Learning solution is used, the artefact (the e-Learning solution itself) and the individuals that use the artefact. It was found that support and resources, the individuals’ motivation and prior experience and interaction between the artefact and the individuals that use it all influence effectiveness. Finally, this paper discusses whether e-Learning and traditional face-to-face learning should be measured according to the same definitions of and approaches to effectiveness, ending with a call for learning designers and researchers to target their measurement efforts to counting what counts for them and their stakeholders.
机译:对图书馆数据库的结构化搜索显示,在过去五年中,检查电子学习有效性的研究已大大增加。在仔细研究搜索结果后,作者发现以前的研究人员以多种方式定义和研究了有效性。同时,越来越多的公共和私人组织中的学习和发展专业人员被要求证明其学习和发展计划的有效性。本文通过综合审查来研究电子学习的有效性。该论文回答了以下研究问题:如何定义电子学习的有效性?如何衡量电子学习的有效性?是什么使在线学习解决方案有效?作者发现了19种不同的定义有效性的方法,其中最常见的是“学习成果”,在文献综述中41%的文章中都有出现。此外,最有效的衡量效果的方法是在测试前和测试后进行量化。本文包括针对理科教师(K-12)的电子学习解决方案的实证研究,为文献研究的发现提供了宝贵的补充。这项研究表明,很难使用电子学习来提高教学效果,因为参与教学的教师可以采用几种策略来避免实质性地改变与工作相关的做法。此外,研究表明,仅将满足预定的学习目标作为有效性参数,使开发人员和研究人员无法看到由于电子学习计划而导致的实践中意料之外的变化。最后,该研究提供了对自我评估有效性的见解,表明只要使用某些定性调查方法,参与者就能够成功报告自己的行为。在本文中,建立了一个用于理解影响有效性的关键因素之间关系的模型。该模型从三个角度对这些因素进行了分类:使用电子学习解决方案的环境,人工制品(电子学习解决方案本身)以及使用人工制品的个人。人们发现,支持和资源,个人的动机和先前的经验以及人工制品与使用人工制品的个人之间的相互作用都会影响有效性。最后,本文讨论了是否应根据有效性的相同定义和方法来衡量电子学习和传统的面对面学习,最后呼吁学习设计者和研究人员将他们的衡量工作作为目标,以计数对他们和他们的利益相关者。

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