Authors
Timo Pelkola, Antti Rasila, Christopher Sangwin
Publication date
2018/10/13
Journal
Informatics in Education
Volume
17
Issue
2
Pages
363-380
Publisher
Vilnius University Institute of Data Science and Digital Technologies
Description
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.
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