Knowledge-Graph based Recommender Systems for e-Learning on CaseTrain data
03.03.2025The goal is to development and improve recommender systems for e-learning based on data from the CaseTrain system.
With the help of knowledge graphs we want to capture users’ individual learning progress as well as the structure and knowledge behind exercises and recommend the best exercises for each user.
Open topics are related to:
- representing and utilizing multimodal information in the knowledge graph
- modeling dynamics over time
- recommendation of additional assistance for user success
Requirements:
Experience or strong interest in
- python and pytorch/tensorflow
- machine learning/ deep learning
Betreuer: Elisabeth Fischer
