| 2026 | AIED | Design, Integration, and Evaluation of LLM-Enhancement Techniques for LMSs: RAG, LoRA Fine-Tuning, and Structured Generation. | Marc Ghanime, Christopher Krauss, Nguyen Xuan Bach Do, Truong-Sinh An |
| 2026 | HCI | Secure and Didactic Integration of LLM-Based Chatbots in Military Learning: User Story-Driven Design, Architecture, and Evaluation. | Christopher Krauss, Marc Ghanime, Daniela Altun, Benjamin Polzin, Martin Schulze, Nguyen Xuan Bach Do |
| 2024 | HCI | Opportunities and Challenges in Developing Educational AI-Assistants for the Metaverse. | Christopher Krauss, Louay Bassbouss, Max Upravitelev, Truong-Sinh An, Daniela Altun, Lisa Reray, Emil Balitzki, Tarek El Tamimi, Mehmet Karaglle |
| 2022 | HCI | Lessons Learned from Creating, Implementing and Evaluating Assisted E-Learning Incorporating Adaptivity, Recommendations and Learning Analytics. | Daniela Altun, Christopher Krauss, Alexander Streicher, Christoph Mller, Daniel Atorf, Lisa Rerhaye, Dietmar Kunde |
| 2021 | HCI | Evaluation Methods for an AI-Supported Learning Management System: Quantifying and Qualifying Added Values for Teaching and Learning. | Lisa Rerhaye, Daniela Altun, Christopher Krauss, Christoph Mller |
| 2019 | EDM | Smart Learning Object Recommendations based on Time-Dependent Learning Need Models. | Christopher Krauss, Agathe Merceron, Stefan Arbanowski |
| 2019 | LAK | The Timeliness Deviation: A novel Approach to Evaluate Educational Recommender Systems for Closed-Courses. | Christopher Krauss, Agathe Merceron, Stefan Arbanowski |
| 2017 | EDM | Can Typical Behaviors Identified in MOOCs be Discovered in Other Courses? | Truong-Sinh An, Christopher Krauss, Agathe Merceron |
| 2016 | FlAIRS | Supervised Speech Act Classification of Messages in German Online Discussions. | Berken Bayat, Christopher Krauss, Agathe Merceron, Stefan Arbanowski |
| 2016 | FlAIRS | Smart Learning: Time-Dependent Context-Aware Learning Object Recommendations. | Christopher Krauss |
| 2015 | WWW | Towards Personalized Smart City Guide Services in Future Internet Environments. | Robert Seeliger, Christopher Krauss, Annette Wilson, Miggi Zwicklbauer, Stefan Arbanowski |
| 2014 | ICDM | Social Preference Ontologies for Enriching User and Item Data in Recommendation Systems. | Christopher Krauss, Stefan Arbanowski |
| 2014 | KDD | Preference Ontologies based on Social Media for compensating the Cold Start Problem. | Christopher Krauss, Sascha Braun, Stefan Arbanowski |
| 2013 | KDD | TV predictor: personalized program recommendations to be displayed on SmartTVs. | Christopher Krauss, Lars George, Stefan Arbanowski |