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IPPOLIS

Intelligente Unterstützung projekt- und problemorientierter Lehre und Integration in Studienabläufe

Fast facts

About the project

IPPOLIS aims to strengthen AI learning content and promote problem-based and practice-oriented learning across disciplines through new AI-using learning supports. This includes the following four goals/measures:

  1. Support of formal learning processes through so-called scaffolds that adaptively accompany essential phases/activities of learning
  2. Process support for case studies (in statistics/data mining),
  3. Support in the writing process of scientific papers through automated feedback, for example on the completeness of literature and cross-references, and
  4. Promoting and simplifying interaction between students, lecturers and student administration by creating additional advisory services based on intelligent chatbots.

Funding code

16DHBKI050

Latest news

Contact & Team

Overall and sub-project management

Portrait von Prof. Dr. Sven Jörges __ Portrait of Prof. Dr. Sven Jörges
Prof. Sven Jörges, Dr.
Fax
  • +49 231 91126710
Office hours

By appointment (by e-mail).

Portrait von Prof. Andreas Harrer __ Portrait of Prof. Andreas Harrer
Prof. Andreas Harrer, Dr.
Office hours

Currently online consultation hours: Mon 14-16 and Thu 10-12,
Pre-registration in Etherpad via ILIAS course "Cooperative Systems" -> "Online Consultation Hour",
Web link https://fh-dortmund.webex.com/meet/andreas.harrer

Team

Research and student assistants

  • Robin Gensel

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