Identifying the impact of feedback over time and at scale: opportunities for learning analytics

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Abstract

In contemporary higher education, learner behaviour is increasingly traced by digital systems. As such, there is a strong potential for data mining over time to track and represent learner actions in the context of their assessment performance. This chapter explores how learning analytics can assist educators to design impactful feedback processes and help learners identify the impact of feedback information, both across time and at scale. In doing so, it offers current examples of how learning analytics could guide educational designs and be employed to support learners to direct their own learning and study habits. This chapter also highlights how learning analytics can help understand and optimise learning, and the environments in which the learning occurs.

Original languageEnglish
Title of host publicationThe Impact of Feedback in Higher Education
Subtitle of host publicationImproving Assessment Outcomes for Learners
EditorsMichael Henderson, Rola Ajjawi, David Boud, Elizabeth Molloy
Place of PublicationCham Switzerland
PublisherPalgrave Macmillan
Chapter12
Pages207-223
Number of pages17
Edition1st
ISBN (Electronic)9783030251123
ISBN (Print)9783030251116
DOIs
Publication statusPublished - 2019

Keywords

  • assessment feedback
  • learning analytics
  • massification
  • modularisation

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