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Projects

Adaptive Education

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Adaptive Education

meRLe

The meRLe project explores ways to promote German reading skills using multilingual-sensitive reciprocal teaching in primary education.

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Individual Development

PREDICT

This project evaluates the potential of predictions generated by students to improve their learning. Further, it investigates the mechanisms that determine its success and asks whether there are age-related differences in its effectiveness.

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Adaptive Education

iLearn

This project evaluates the potential of computerized formative assessment to support reading acquisition of children with reading difficulties. Formative assessment enables teachers to adapt their teaching methods to the individual learning progress of their students.

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Individual Development

RESI

The project RESI investigates the relationship between individual cognitive variables and arithmetic strategies in primary-school children.

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Professionalization

SLICES

The project SLICES examines, whether the thin slices technique can be used to efficiently study educational processes in very large samples, such as they are common in large scale assessments. The study focuses on the “constructive handling of student errors” in the classroom, an indicator of teaching and learning that is considered to be of particular importance for adaptive interactions with heterogeneous groups of learners.

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Adaptive Education

LeA-Training

The focus of project LeA-Training is to investigate a reading fluency training program. The project aims at identifying the underlying mechanisms resulting in reading improvement to effectively implement the training for children with reading difficulties.

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Adaptive Education

SelF

The project SelF deals with the implementation of specific self-regulatory strategies in different areas of application.

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Adaptive Education

BiPeer

BiPeer explores ways to support German reading competency of Turkish-German bilingual primary school children using peer-learning methods.

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Individual Development

ADHD-ML

We investigated intelligent methods to predict hyperactivity in children using accelerometer data. We considered the classification of recorded time-series as well as segmentation tasks.

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Professionalization

NeO

The discussion regarding “more male nurses in kindergardens” is currently present internationally. The public discussion involves multiple attributes for girls and boys as well as for their female and male nurses. The NeO Project sheds light on the nurses’ perspectives regarding the meaning of gender within early childhood education.

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