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Quantum of Choice: How learners’ feedback monitoring decisions, goals and self-regulated learning skills are related

Ioana Jivet, Jacqueline Wong, Maren Scheffel, Manuel Valle Torre, Marcus Specht, Hendrik Drachsler

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Abstract

Learning analytics dashboards (LADs) are designed as feedback tools for learners, but until recently, learners rarely have had a say in how LADs are designed and what information they receive through LADs. To overcome this shortcoming, we have developed a customisable LAD for Coursera MOOCs on which learners can set goals and choose indicators to monitor. Following a mixed-methods approach, we analyse 401 learners’ indicator selection behaviour in order to understand the decisions they make on the LAD and whether learner goals and self-regulated learning skills influence these decisions. We found that learners overwhelmingly chose indicators about completed activities. Goals are not associated with indicator selection behaviour, while help-seeking skills predict learners’ choice of monitoring their engagement in discussions and time management skills predict learners’ interest in procrastination indicators. The findings have implications for our understanding of learners’ use of LADs and their design.

Topics & Concepts

ProcrastinationLearning analyticsSet (abstract data type)Computer scienceSelection (genetic algorithm)AnalyticsOrder (exchange)Knowledge managementMathematics educationPsychologyData scienceSocial psychologyArtificial intelligenceFinanceProgramming languageEconomicsOnline Learning and AnalyticsInnovative Teaching and Learning MethodsPerfectionism, Procrastination, Anxiety Studies