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Feedback at scale: designing for accurate and timely practical digital skills evaluation

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  • Gabriele Piccoli
  • Joaquin Rodriguez
  • Biagio Palese
  • Marcin Lukasz Bartosiak

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).

Suggested Citation

  • Gabriele Piccoli & Joaquin Rodriguez & Biagio Palese & Marcin Lukasz Bartosiak, 2020. "Feedback at scale: designing for accurate and timely practical digital skills evaluation," European Journal of Information Systems, Taylor & Francis Journals, vol. 29(2), pages 114-133, March.
    • Handle: RePEc:taf:tjisxx:v:29:y:2020:i:2:p:114-133
    DOI: 10.1080/0960085X.2019.1701955
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    Cited by:

    1. Alvin Chung Man Leung & Radhika Santhanam & Ron Chi-Wai Kwok & Wei Thoo Yue, 2023. "Could Gamification Designs Enhance Online Learning Through Personalization? Lessons from a Field Experiment," Information Systems Research, INFORMS, vol. 34(1), pages 27-49, March.

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