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:
- Support of formal learning processes through so-called scaffolds that adaptively accompany essential phases/activities of learning
- Process support for case studies (in statistics/data mining),
- Support in the writing process of scientific papers through automated feedback, for example on the completeness of literature and cross-references, and
- Promoting and simplifying interaction between students, lecturers and student administration by creating additional advisory services based on intelligent chatbots.
Sponsor
Funding code
16DHBKI050
Contact & Team
Overall and sub-project management
Prof. Sven Jörges, Dr.
Phone
Fax
- +49 231 91126710
Office hours
By appointment (by e-mail).
Prof. Andreas Harrer, Dr.
Phone
Office hours
Currently online consultation hours: Mon 14-16 and Thu 10-12,
Pre-registration in Etherpad via ILIAS course "Kooperative Systeme" -> "Online-Sprechstunde"
Team
Research and student assistants
- Lea Reinartz, B. Sc.