Investigating bloom's learning for mastery in mathematics with online assessment

Timo Pelkola, Antti Rasila, Christopher Sangwin

Research output: Contribution to journalArticlepeer-review

10 Scopus citations


In this paper we report a study in which we have developed a teaching cycle based closely on Bloom's Learning for Mastery (LFM). The teaching cycle ameliorates some of the practical problems with LFM by making use of the STACK online assessment system to provide automated assessment and feedback to students. We report a clinical trial of this teaching cycle with groups of university level engineering students. Our results are modest, but positive: performance on the exercises predicted mastery according to the formative tests to a small extent. Students also report being supportive of the use of the new teaching cycle.

Original languageEnglish
Pages (from-to)363-380
Number of pages18
JournalInformatics in Education
Issue number2
StatePublished - 2018


  • Learning for mastery
  • Mathematics education
  • Online assessment


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