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Location & approach

By car

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.

By train

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.

The H-Bahn

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.

By plane

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.

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Cafeteria menus

To overview

Location & approach

By car

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.

By train

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.

The H-Bahn

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.

By plane

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.

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FAIR Learning Analytics Workshop at the IFS

10/01/2024 -

in

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Events

Workshop on ‘Learning Analytics’ took place at the IFS with participants from all over Germany.

The interdisciplinary research profile From Prediction to Agile Interventions in the Social Sciences (FAIR) was organising a workshop on learning analytics at the TU Dortmund University from September 25–27. Learning analytics is the collection, analysis, and visualization of detailed data about learning processes, and aims to provide learners with information about their learning process, as well as researchers the possibility to conduct fine-grained analyses on learning processes.

In the first part of the workshop Effective dashboard design and data visualization for Learning Analytics, Junior-Professor Ioana Jivet from the FernUni in Hagen and Junior-Professor Maren Scheffel from the Ruhr-Universität Bochum introduced the design of dashboards. Principles and guidelines of data visualization were considered and a structured approach to the “why”, “what” and “how” of effective dashboard design for learning analytics was developed. Participants were introduced to the guidelines of dashboard design, analyzed and interpreted examples of LA dashboards and created their own dashboard designs.

Präsentation am Whiteboard zu Analytics

In the second part, Dr. Jan Delcker, Joana Heil and Yvonne Fromm from the University of Mannheim presented the research field of learning analytics. They showed which educational data can be relevant, how it can be analyzed and which interpretation and intervention possibilities arise for teachers. Space was created for the diverse teaching experiences and challenges of the participants in order to facilitate an open discussion that also addressed ethical issues and data protection.

Teilnehmende pinnt Textblasen an ein Board

In the third part, the participants presented their own research projects that could be worked on using the topics described in the workshop. The presentations included contributions on learning analytics in higher education, at school and machine learning approaches. The workshop was concluded with an exchange between the participants on various topics that were discussed, such as the selection of log data, data formats, analysis methods, and interpretation options.

Teilnehmende des Workshops unterhalten sich am Tisch