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A holistic model for evaluating the impact of individual technology-enhanced learning resources

机译：用于评估单个技术增强型学习资源的影响的整体模型

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Background: The use of technology within education has now crossed the Rubicon; student expectations, the increasing availability of both hardware and software and the push to fully blended learning environments mean that educational institutions cannot afford to turn their backs on technology-enhanced learning (TEL). The ability to meaningfully evaluate the impact of TEL resources nevertheless remains problematic.Aims: This paper aims to establish a robust means of evaluating individual resources and meaningfully measure their impact upon learning within the context of the program in which they are used.Methods: Based upon the experience of developing and evaluating a range of mobile and desktop based TEL resources, this paper outlines a new four-stage evaluation process, taking into account learner satisfaction, learner gain, and the impact of a resource on both the individual and the institution in which it has been adapted.Results: A new multi-level model of TEL resource evaluation is proposed, which includes a preliminary evaluation of need, learner satisfaction and gain, learner impact and institutional impact. Each of these levels are discussed in detail, and in relation to existing TEL evaluation frameworks.Conclusions: This paper details a holistic, meaningful evaluation model for individual TEL resources within the specific context in which they are used. It is proposed that this model is adopted to ensure that TEL resources are evaluated in a more meaningful and robust manner than is currently undertaken.
机译：背景：技术在教育中的应用现已超越了Rubicon。学生的期望，硬件和软件的可用性不断提高以及向完全融合的学习环境的推动，意味着教育机构无法承受对技术增强学习（TEL）的依赖。然而，有效评估TEL资源影响的能力仍然存在问题。目的：本文旨在建立一种评估单个资源的强大方法，并在使用它们的程序范围内有意义地衡量其对学习的影响。根据开发和评估一系列基于移动和桌面的TEL资源的经验，本文概述了一个新的四阶段评估过程，其中考虑了学习者的满意度，学习者的收益以及资源对个人和机构的影响结果：提出了一种新的TEL资源评估的多层次模型，该模型包括对需求，学习者的满意和收获，学习者的影响和制度影响的初步评估。对这些级别中的每一个级别都进行了详细讨论，并与现有的TEL评估框架进行了讨论。结论：本文详细介绍了在使用它们的特定上下文中针对单个TEL资源的整体，有意义的评估模型。建议采用此模型以确保以比当前所采用的方式更有意义和更可靠的方式评估TEL资源。

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