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Feedback at scale: designing for accurate and timely practical digital skills evaluation
European Journal of Information Systems ( IF 9.5 ) Pub Date : 2019-12-19 , DOI: 10.1080/0960085x.2019.1701955
Gabriele Piccoli 1, 2 , Joaquin Rodriguez 1 , Biagio Palese 3 , Marcin Lukasz Bartosiak 2
Affiliation  

ABSTRACT The global demand for digital proficiency has resulted in increasing pressure to “massify” education. As practical digital skills development becomes more important, there is a need to design accurate and timely performance feedback systems that can scale to a large number of learners. This paper contributes meta-requirements and design principles for designing a socio-technical artefact that offers a solution to the general problem of providing performance feedback at scale. The artefact evaluation provides interesting results for achieving the three objectives of a) scalability to a large number of learners, b) validity and reliability of the feedback, and c) positive impact on learners’ behaviour and engagement with the feedback system. These results are obtained through the synergistic contribution of pedagogical prioritisation (i.e., what skills to cover), assignment design (i.e., what tasks to use to evaluate mastery) and automated measurement (i.e., grading engine functionalities for error detection).

中文翻译:

大规模反馈:为准确及时的实用数字技能评估而设计

摘要 全球对数字能力的需求导致“大众化”教育的压力越来越大。随着实用数字技能发展变得越来越重要,需要设计准确、及时的绩效反馈系统,以适应大量学习者。本文提出了用于设计社会技术人工制品的元要求和设计原则,该人工制品为大规模提供性能反馈的一般问题提供了解决方案。人工制品评估为实现以下三个目标提供了有趣的结果:a) 对大量学习者的可扩展性,b) 反馈的有效性和可靠性,以及 c) 对学习者的行为和参与反馈系统的积极影响。这些结果是通过教学优先级的协同贡献获得的(即,
更新日期:2019-12-19
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