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From Prediction to Agile Interventions in the Social Sciences (FAIR)
As part of the interdisciplinary profile area "FAIR", we are using and developing innovative analytical approaches from statistics and data science to optimize forecasting and intervention models in the fields of empirical educational research, rehabilitation studies, and the social sciences. The developed forecasting models (e.g. for such outcomes as educational success and career choice) provide the foundation for group-specific and adaptive interventions.
Funding
Project description
The Center for Research on Education and School Development (Institut für Schulentwicklungsforschung, IFS) at the Faculty for Educational Science, Psychology, and Educational Research is responsible for research projects in FAIR that will focus on the topic of education and on predictors of academic success. Our research in FAIR will focus in particular on the development and application of prediction and intervention models that can help us to better understand what factors predict academic success in different educational contexts (e.g., in schools and higher education).
We will use data from large-scale assessments such as PIRLS/IGLU and NEPS, as well as new data (to be collected over the next three years) from intervention studies using between- and within-person randomized controlled trials. Jointly with the other research teams in FAIR, we will develop a framework for “Agile Intervention Research” that allows for individualized and need-based adaptations of interventions and learning support systems in authentic educational contexts. An important goal is also the analysis of heterogeneous intervention effects. Our planned interventions will focus on such topics as learning strategies designed to foster reading comprehension and deep-level understanding, the development of reading and math competence, and educational and career choices.
Lead researchers
Project management at IFS
Project team at IFS
External project partners
- Prof. Dr. Martina Brandt (TU Dortmund)
- Prof. Dr. Philipp Doebler (TU Dortmund)
- Prof. Dr. Katja Ickstadt (TU Dortmund)
- Prof. Dr. Jörg-Tobias Kuhn (TU Dortmund)
- Dr. Alexander Munteanu (TU Dortmund)
- Prof. Dr. Markus Pauly (TU Dortmund)
- Prof. Dr. Sarah Weigelt (TU Dortmund)
Further information
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Location & approach
The most convenient highway exits are on the B 1/A 40 (Dortmund-Barop) (closer to the North Campus) and on the A45 (Dortmund-Eichlinghofen). The university is signposted at both exits. In the local road network you will find signs to Campus Nord, where the Campus Treff is also located. From Emil-Figge-Strasse, entrance no. 18 and from Vogelspothsweg entrance no. 23 lead to parking spaces near the venue.
From Dortmund main station, take the S-Bahn "S1" in the direction of Solingen on track 7 to the stop "Dortmund-Universität" (price level A). The S-Bahn runs every 15 minutes during peak hours on weekdays and takes about 6 minutes. From Düsseldorf, the S-Bahn runs every 30 minutes. Directly at the S-Bahn station you will find the CDI building, which houses the Center for Research on Education and School Development.
One of the university's landmarks is the H-Bahn, which has two terminuses on the North Campus. One is located directly above the S-Bahn station and is easily accessible from it by elevators. The other is located in the center of Campus North at the bridge between the University Library and the Mensa, right next to the Audimax. The H-Bahn runs from here to the South Campus and the Eichlinghofen district.
Dortmund has an airport connected with some destinations in Central Europe. There are regular flights, for example, to Amsterdam, Berlin, Dresden, Katowice, Krakow, Leipzig-Halle, London, Munich, Nuremberg, Paris, Poznan, Stuttgart, Vienna and Zurich. For the approximately 20 kilometers from the Dortmund airport to the campus, you can take the bus to the main train station and from there the S-Bahn. Faster is usually the use of a cab. Far more international flight connections are offered by the Rhine-Ruhr Airport in Düsseldorf, about 60 kilometers away, which can be reached directly by S-Bahn from the university station.