Student profiling in a dispositional learning analytics application using formative assessment

Dirk Tempelaar, Bart Rienties, Jenna Mittelmeier, Quan Nguyen

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

How learning disposition data can help us translating learning feedback from a learning analytics application into actionable learning interventions, is the main focus of this empirical study. It extends previous work (Tempelaar, Rienties, & Giesbers, 2015), where the focus was on deriving timely prediction models in a data rich context, encompassing trace data from learning management systems, formative assessment data, e-tutorial trace data as well as learning dispositions. In this same educational context, the current study investigates how the application of cluster analysis based on e-tutorial trace data allows student profiling into different at-risk groups, and how these at-risk groups can be characterized with the help of learning disposition data. It is our conjecture that establishing a chain of antecedent-consequence relationships starting from learning disposition, through student activity in e-tutorials and formative assessment performance, to course performance, adds a crucial dimension to current learning analytics studies: that of profiling students with descriptors that easily lend themselves to the design of educational interventions.
Original languageEnglish
Pages (from-to)408-420
Number of pages13
JournalComputers in Human Behavior
Volume78
DOIs
Publication statusPublished - Jan 2018

Keywords

  • Learning analytics;
  • Formative assessment;
  • Learning dispositions;
  • dispositions; Dispositional learning analytics
  • e-tutorial
  • Learning dispositions
  • Learning analytics
  • Formative assessment
  • Dispositional learning analytics

Cite this

Tempelaar, Dirk ; Rienties, Bart ; Mittelmeier, Jenna ; Nguyen, Quan. / Student profiling in a dispositional learning analytics application using formative assessment. In: Computers in Human Behavior. 2018 ; Vol. 78. pp. 408-420.
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Student profiling in a dispositional learning analytics application using formative assessment. / Tempelaar, Dirk; Rienties, Bart; Mittelmeier, Jenna; Nguyen, Quan.

In: Computers in Human Behavior, Vol. 78, 01.2018, p. 408-420.

Research output: Contribution to journalArticleAcademicpeer-review

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KW - Dispositional learning analytics

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