Alina Deriyeva

According to our database, Alina Deriyeva authored at least 10 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Evaluation of LLM-based Explanations for a Learning Analytics Dashboard.

Alina Deriyeva, Benjamin Paassen

CoRR, November, 2025

Does Interpretability of Knowledge Tracing Models Support Teacher Decision Making?

Adia Khalid, Alina Deriyeva, Benjamin Paassen

CoRR, November, 2025

Mitigating Exposure Bias in Recommender Systems - A Comparative Analysis of Discrete Choice Models.

Thorsten Krause, Alina Deriyeva, Jan Heinrich Beinke, Gerrit York Bartels, Oliver Thomas

Trans. Recomm. Syst., June, 2025

What is a Step? A User Study on How to Sub-divide the Solution Process of Introductory Python Tasks.

Jesper Dannath, Alina Deriyeva, Benjamin Paassen

Proceedings of the 18th International Conference on Educational Data Mining, 2025

SCRIPT: Implementing an Intelligent Tutoring System for Programming in a German University Context.

Alina Deriyeva, Jesper Dannath, Benjamin Paassen

Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium, Blue Sky, and WideAIED, 2025

2024

The Relevance of Item-Co-Exposure For Exposure Bias Mitigation.

Thorsten Krause, Alina Deriyeva, Jan Heinrich Beinke, Gerrit York Bartels, Oliver Thomas

CoRR, 2024

Case study: Using LLMs to assist with solving programming homework assignments.

Alina Deriyeva, Jesper Dannath, Benjamin Paaßen

Proceedings of DELFI Workshops 2024, Fulda, Germany, September 9-11, 2024, 2024

Relation between struggle and learning personality in programming exercises.

Alina Deriyeva, Jesper Dannath, Benjamin Paaßen

Proceedings of the DELFI 2024, 2024

Evaluating Task-Level Struggle Detection Methods in Intelligent Tutoring Systems for Programming.

Jesper Dannath, Alina Deriyeva, Benjamin Paaßen

Proceedings of the DELFI 2024, 2024

2022

Beyond the Rating Matrix: Debiasing Implicit Feedback Loops in Collaborative Filtering.

Thorsten Krause, Daniel Stattkus, Alina Deriyeva, Jan Heinrich Beinke, Oliver Thomas

Proceedings of the WI for Grand Challenges, 2022