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Assessing tomorrow's learners: In competency-based education only a radically different holistic method of assessment will work. Six things we could forget

机译:评估明天的学习者:在基于能力的教育中,只有一种完全不同的整体评估方法才能起作用。我们可能会忘记的六件事

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摘要

In this paper we are challenging six traditional notions about assessment that are unhelpful when designing 'assessment for learning'-programmes for competency-based education. We are arguing for the following: Reductionism is not the only way to assure rigour in high-stakes assessment; holistic judgements can be equally rigorous. Combining results of assessment parts only because they are of the same format (like different stations in an OSCE) is often not defensible; instead there must be a logically justifiable combination. Numbers describe the quality of the assessment. Therefore, manipulating the numbers is usually not the best way to improve its quality. Not every assessment moment needs to be a decision moment, disconnecting both makes combining summative and formative functions of assessment easier. Standardisation is not the only route to equity. Especially with diverse student groups tailoring is more equitable than standardisation. The most important element to standardise is the quality of the process and not the process itself. Finally, most assessment is too much focussed on detecting deficiencies and not on valuing individual student differences. In competency-based education-especially with a focus on learner orientation-this 'deficiency-model' is not as well aligned as a 'differences-model'.
机译:在本文中,我们正在挑战关于评估的六个传统概念,这些概念在设计基于能力的教育的“学习评估”计划时无益。我们主张以下几点:减少主义并不是确保高风险评估严格的唯一方法;整体判断可以同样严格。仅仅因为它们具有相同的格式(例如OSCE中的不同电台)而合并评估部分的结果通常是不可辩护的;相反,必须有一个逻辑上合理的组合。数字描述评估的质量。因此,操纵数字通常不是提高其质量的最佳方法。并非每个评估时刻都需要一个决策时刻,将两者分开可以使评估的总结性功能和形成性功能更容易组合。标准化不是通往公平的唯一途径。特别是对于多样化的学生群体,剪裁比标准化更公平。标准化的最重要元素是过程的质量,而不是过程本身。最后,大多数评估过于侧重于发现缺陷而不是评估学生的个体差异。在基于能力的教育中,特别是注重学习者的取向,这种“缺陷模型”没有像“差异模型”那样统一。

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