Daniel Biedermann

Daniel Biedermann
DIPF - Leibniz Institute for Research and Information in Education

About

12
Publications
1,256
Reads
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101
Citations
Citations since 2017
10 Research Items
98 Citations
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Publications

Publications (12)
Preprint
Full-text available
Planning is an important but difficult self-regulation strategy. The successful implementation of a plan requires that the plan is retrievable in everyday life when it is needed. Children in particular are unlikely to use effective strategies to internalize plans in a way that makes them easy to remember. Therefore, we designed PROMPT, a planning a...
Preprint
Full-text available
Mobile technologies offer new opportunities for encouraging self-regulated learning (SRL) in children. In this pre-registered study, we tested what kind of mobile intervention helps children maintain a regular study routine for vocabulary learning. Study behavior was measured objectively and with high ecological validity using logfiles of a vocabul...
Article
Full-text available
Approach–avoidance conflicts are a hallmark of anxiety-related behaviors. A gold standard for assessing anxiety-related behaviors in rodents is the elevated plus-maze (EPM), which was recently translated to humans using immersive virtual reality. Repeated behavioral testing is particularly interesting for clinical and pharmacological research in hu...
Preprint
Mobile technologies offer new opportunities for encouraging self-regulated learning (SRL) in children. In this pre-registered study, we tested what kind of mobile intervention helps children maintain a regular study routine for vocabulary learning. Study behavior was measured objectively and with high ecological validity using logfiles of a vocabul...
Article
Full-text available
Lay Description What is already known about this topic? Learning design (LD) is the pedagogic process used in teaching/learning that leads to the creation and sequencing of learning activities and the environment in which it occurs. Learning analytics (LA) is the measurement, collection, analysis & reporting of data about learners and their contex...
Article
Full-text available
Digital distractions can interfere with goal attainment and lead to undesirable habits that are hard to get red rid of. Various digital self‐control interventions promise support to alleviate the negative impact of digital distractions. These interventions use different approaches, such as the blocking of apps and websites, goal setting, or visuali...
Article
Full-text available
Background: A dearth of laboratory tests to study actual human approach-avoidance behavior has complicated translational research on anxiety. The elevated plus-maze (EPM) is the gold standard to assess approach-avoidance behavior in rodents. Methods: Here, we translated the EPM to humans using mixed reality through a combination of virtual and rea...
Conference Paper
We present a framework that supports the development and evaluation of vision algorithms in the context of driver assistance applications and traffic surveillance. This framework allows the creation of highly realistic image sequences featuring traffic scenarios. The sequences are created with a realistic state of the art vehicle physics model; dif...
Conference Paper
For evaluating or training different kinds of vision algorithms, a large amount of precise and reliable data is needed. In this paper we present a system to create extended synthetic sequences of traffic environment scenarios, associated with several types of ground truth data. By integrating vehicle dynamics in a configuration tool, and by using p...

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Projects

Projects (2)
Project
Creating an application that supports goal setting in academic environments.