2020
DOI: 10.1016/j.chb.2018.05.004
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Linking learning behavior analytics and learning science concepts: Designing a learning analytics dashboard for feedback to support learning regulation

Abstract: Linking learning behavior analytics and learning science concepts: designing a learning analytics dashboard for feedback to support learning regulation. Computers in Human Behavior.

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Cited by 196 publications
(172 citation statements)
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References 53 publications
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“…By dispositions, we mean behavioral and cognitive factors such as motivation (to write a master thesis, for instance), engagement, self-regulation skills, strategies and attitudes [43,44]. Such an approach would most likely increase the probability of finding additional factors that influence the master thesis process and increase accuracy, replicability and transferability of prediction models [27,45,46].…”
Section: Discussionmentioning
confidence: 99%
“…By dispositions, we mean behavioral and cognitive factors such as motivation (to write a master thesis, for instance), engagement, self-regulation skills, strategies and attitudes [43,44]. Such an approach would most likely increase the probability of finding additional factors that influence the master thesis process and increase accuracy, replicability and transferability of prediction models [27,45,46].…”
Section: Discussionmentioning
confidence: 99%
“…Reflection requires students to assess their own performance, which ideally involves comparing their performance to the goal performance, identifying gaps in their performance, and working towards fixing these gaps (see, Quinton and Smallbone 2010;Sadler 1989;Sedrakyan et al 2018). Hence, the starting point for reflection is often students' self-assessment.…”
Section: Joint Reflectionmentioning
confidence: 99%
“…Meta-analytical evidence suggests that properly designed SRL interventions can improve learning (Dignath & Büttner, 2008;Panadero, 2017;Sitzmann & Ely, 2011). Interventions to enhance students' SRL include, for example, self-assessment (Panadero & Alonso-Tapia, 2013;Panadero, Jonsson, & Botella, 2017), concept mapping (Gurlitt & Renkl, 2010;Nesbit & Adesope, 2006;Novak & Musonda, 1991), learning diaries (Klug, Ogrin, Keller, Ihringer, & Schmitz, 2011;Schmitz & Wiese, 2006), and learning analytics dashboards (Bodily & Verbert, 2017;Jivet et al, 2017;Sedrakyan et al, 2018). In this study, we are at the intersection of this knowledge base.…”
Section: Related Literaturementioning
confidence: 90%
“…At the same time, a growing body of evidence suggests that learning analytics applications need a better grounding in the learning sciences (Jivet, Scheffel, Drachsler, & Sprecht, 2017;Marzouk et al, 2016;Sedrakyan, Malmberg, Verbert, Järvelä, & Kirschner, 2018). As concluded by Jivet et al (2017) in their review, self-regulated learning (SRL) seems to be the core theory informing the design of learning analytics dashboards.…”
Section: Introductionmentioning
confidence: 99%