首页> 外文期刊>Journal of Computer Assisted Learning >Video-enhanced or textual rubrics: Does the Viewbrics' formative assessment methodology support the mastery of complex (21st century) skills?
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Video-enhanced or textual rubrics: Does the Viewbrics' formative assessment methodology support the mastery of complex (21st century) skills?

机译:视频增强或文本尺寸:viewBrics的形成性评估方法是否支持复杂(21世纪)技能的掌握?

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摘要

Learners in the process of developing complex skills need a rich mental model of what such skills entail. Textual analytics rubrics (TR) are a widely used instrument to support formative assessment of complex skills, supporting feedback, reflection, and thus mental model development of complex skills. However, the textual nature of a rubric limits the possibility to deliver contextual and dynamic (time-and behaviour-oriented) information. In the Viewbrics online tool, we developed a version supporting the delivery of contextual and dynamic information by adding video-modelling examples with embedded self-explanation prompts to textual analytics rubrics. We called this combination as video-enhanced rubrics (VERs). Our current study investigates whether the Viewbrics online tool supports complex skills development and whether either textual- or video-enhanced rubrics best support complex skills' mastery. The study was a three-group (VERS n = 49, TR n = 54, control n = 50) within-subjects design. Learners' performance of complex skills was measured through expert, peer, and self-assessment using the Viewbrics online tool. A multilevel regression analysis shows learners in the TR and VERS conditions consistently outperforming the control condition to varying degrees across skills. However, no differences have been found between the two experimental conditions. Positive results across different complex skills indicate the Viewbrics online tool can be used to support the development of a wide range of complex skills in secondary education.
机译:学习者在开发复杂技能的过程中需要一个丰富的精神模型,这些技能需要什么。文本分析rubrics(TR)是一种广泛使用的仪器,可支持复杂技能的形成性评估,支持反馈,反思,从而进行复杂技能的心理模型。但是,RUNRIR的文本性质限制了提供上下文和动态(时间和行为为导向)信息的可能性。在viewBrics在线工具中,我们通过添加带有嵌入式自我解释的视频建模示例提示文本分析rubrics添加视频建模示例,开发了一种支持上下文和动态信息的版本。我们将此组合称为视频增强型rubrics(Vers)。我们现在的研究调查了viewBrics在线工具是否支持复杂的技能开发以及文本或视频增强的rubrics最佳支持复杂技能'掌握。该研究是一个三组(Vers n = 49,TR n = 54,对象内设计内部设计。学习者通过使用ViewBrics在线工具通过专家,对等体和自我评估来衡量复杂技能的表现。多级回归分析显示了TR的学习者,并且vers条件始终如一地优于控制条件,以跨技能变化。但是,在两个实验条件下没有发现差异。不同复杂技能的积极结果表明,ViewBrics在线工具可用于支持开发中等教育中广泛的复杂技能。

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