Best Paper award @LAK21 – Quantum of Choice

Best Paper award @LAK21 – Quantum of Choice

Award, Conference, Empirical Study, Higher Education, Learning Analytics, Open access, Publication
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…
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Joshua Weidlich joins the team

Joshua Weidlich joins the team

Computational Psychometrics, Learning Design, Team
Starting April 2021, Joshua Weidlich joins the team as PostDoctoral researcher. He completed his PhD on social presence in online learning environments at the FernUniversität in Hagen in February 2021. He holds a Master's Degree in E-Learning and Media Education from Heidelberg University of Education as well as a Bachelor's Degree in Educational Science from Chemnitz University of Technology. See profile page for more information.
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