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Chair for Human-Centered Artificial Intelligence

  1. 新万博体育下载_万博体育app【投注官网】
  2. Faculties
  3. Faculty of Applied Computer Science
  4. Institute of Computer Science
  5. Chairs and Professors
  6. Human-Centered Artificial Intelligence
  7. Team
  8. Anan Schütt

Anan Schütt M.Sc.

Research Assistent
Chair for Human-Centered Artificial Intelligence
Phone: +49 821 598 2322
Email:
Room: 2016 (N)
Address: Universit?tsstra?e 6a, 86159 Augsburg

Research Interests

  • Adaptive Education
  • Dynamic Difficulty Adjustment
  • Educational Data Mining
  • Interaction Design
  • Student Engagement

Topics for Student Thesis

I'm happy to supervise Bachelor and Master theses. I list the potential topics below, but other student-initiated topics close to my research interests are also welcome.

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  • Motivational Mechanisms and Difficulty Adjustment in Chess
  • Educational Recommendation System
  • Interaction Design for Educational Videos

Publications

2024 | 2023

2024

Jean Vassoyan, Anan Schütt, Jill-Jênn Vie, Arun-Balajiee Lekshmi-Narayanan, Elisabeth André and Nicolas Vayatis. 2024. A pre-trained graph-based model for adaptive sequencing of educational documents. In NeurIPS 2024 Workshop FM-EduAssess - The First Workshop on Large Foundation Models for Educational Assessment, 15 December 2024, Vancouver, BC, Canada. CNRS, Paris, hal-04779162 DOI: 10.48550/arXiv.2411.11520
PDF | BibTeX | RIS | DOI | URL

Torben Soennecken, Anan Schütt, Bj?rn Petrak and Elisabeth André. 2024. Bridging skills and scenarios: initial steps towards using faded worked examples as personalized exercises in vocational education. In Oleksandra Poquet, Alejandro Ortega-Arranz, Olga Viberg, Irene-Angelica Chounta, Bruce McLaren, Jelena Jovanovic (Eds.). Proceedings of the 16th International Conference on Computer Supported Education, May 2-4, 2024, in Angers, France. SciTePress, Setúbal, 43-53 DOI: 10.5220/0012565000003693
PDF | BibTeX | RIS | DOI

Anan Schütt, Tobias Huber, Jauwairia Nasir, Cristina Conati and Elisabeth André. 2024. Does difficulty even matter? Investigating difficulty adjustment and practice behavior in an open-ended learning task. In LAK '24: proceedings of the 14th Learning Analytics and Knowledge Conference, Kyoto, Japan, 18-22 March 2024. Association for Computing Machinery (ACM), New York, NY, 253-262 DOI: 10.1145/3636555.3636876
PDF | BibTeX | RIS | DOI

Anan Schütt, Tobias Huber and Elisabeth André. 2024. Estimating chess puzzle difficulty without past game records using a human problem-solving inspired neural network architecture. In Chang-Tien Lu Lu, Fusheng Wang, Bolong Zheng, Yifeng Gao (Eds.). 2024 IEEE International Conference on Big Data (BigData), 15-18 December 2024, Washington, DC, USA. Institute of Electrical and Electronics Engineers (IEEE), Piscataway, NJ, 8396-8402 DOI: 10.1109/bigdata62323.2024.10826087
PDF | BibTeX | RIS | DOI

2023

Anan Schütt, Tobias Huber, Ilhan Aslan and Elisabeth André. 2023. Fast dynamic difficulty adjustment for intelligent tutoring systems with small datasets. In Mingyu Feng, Tanja K?ser, Partha Talukdar (Eds.). Proceedings of the 16th International Conference on Educational Data Mining, 11-14 July 2023, Bengaluru, India. International Educational Data Mining Society, 482-489
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