Validity Considerations in Complex Task Design

Richard J. Tannenbaum, Irvin R. Katz
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引用次数: 4

Abstract

• Background: With the growth of digital technology has come a desire to measure learning—both formatively and summatively—via complex performance tasks. Such tasks mimic the types of learning environments (whether digital or nondigital) familiar to learners, which is part of their appeal. Designed well, performance tasks present learners with similar affordances and challenges that they face in a non-assessment context, potentially allowing for greater generalizability (Conn et al., 2020). Yet complex and digital performance tasks may present some unique challenges in accumulating the necessary design-based and interpretation-based evidence of validity. In this paper, we discuss some of the measurement challenges and validity considerations associated with complex and digital performance tasks.
复杂任务设计中的效度考虑
•背景:随着数字技术的发展,人们渴望通过复杂的绩效任务来衡量学习——无论是形式的还是总结性的。这些任务模仿学习者熟悉的学习环境类型(无论是数字的还是非数字的),这是它们的吸引力的一部分。如果设计得好,性能任务为学习者提供了与他们在非评估环境中面临的类似的能力和挑战,从而可能允许更大的泛化性(Conn et al., 2020)。然而,在积累必要的基于设计和基于解释的有效性证据方面,复杂的数字性能任务可能会带来一些独特的挑战。在本文中,我们讨论了与复杂和数字性能任务相关的一些测量挑战和有效性考虑。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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