The Use of Data Analytics to support the development of assessment practices in higher education

Rienties, Bart; Tempelaar, Dirk; Nguyen, Quan and Rogaten, Jekaterina (2022). The Use of Data Analytics to support the development of assessment practices in higher education. In: Evans, Carol and Waring, Michael eds. Research Handbook on Innovations in Assessment and Feedback in Higher Education. London: Edward Elgar Publishing, (In Press).

Abstract

The ways institutions are using assessment and feedback are rapidly evolving. In this application chapter we will reflect on three innovative applications of learning analytics to support assessment and feedback practices at two distinct universities, namely Maastricht University in the Netherlands and The Open University UK. We have specifically chosen these two universities as they provide innovative education to their students in unique ways. In our first application we explore how computer based assessments in conjunction with dispositional learning analytics can help educators to provide appropriate feedback. In our second application we explore why it is important to include learning design metrics in learning analytics applications. Finally, in our third application we illustrate how using assessment data and learning analytics some unique and perhaps unexpected results can be identified in terms of assessment alignment across modules.

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About

  • Item ORO ID
  • 84515
  • Item Type
  • Book Section
  • Keywords
  • learning analytics; assessment; formative assessment; computer-based assessment; automated feedback; learning gains
  • Academic Unit or School
  • Institute of Educational Technology (IET)
  • Research Group
  • OpenTEL
  • Depositing User
  • Bart Rienties
CORE (COnnecting REpositories)

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