Research Output

Publications

Peer-reviewed conference papers, journal articles, book chapters, and theses.

Conference Papers

Rüdian, S. (2026). Personalization in Learning Analytics and Educational Data Mining: A Systematic Review (2015–2025). Educational Data Mining Conference.
Rüdian, S., Podelo, J., Kuzilek, J., Pinkwart, N. (2025). Feedback on Feedback: Student’s Perceptions for Feedback from Teachers and Few-Shot LLMs. International Learning Analytics and Knowledge Conference (LAK), Dublin, Ireland. DOI
Rüdian, S., Pinkwart, N. (2025). The Meshing Hypothesis revised – An Experiment of Preference-based Personalization in a Language Learning Online Course. IEEE International Conference on Advanced Learning Technologies (ICALT), Taiwan. DOI
Rüdian, S. (2025). Auto-Generating Analytic Rubrics for Criteria-Oriented High-Information Feedback. IEEE International Conference on Advanced Learning Technologies (ICALT), Taiwan. DOI
Rüdian, S., Kuzilek, J., Ruhland, C., Elsir, Y., Kretschmer, M., Podelo, J., Pinkwart, N. (2025). AI-Generated Feedback in Higher Education: The Tool for Analytic Rubrics. IEEE International Conference on Advanced Learning Technologies (ICALT), Taiwan. DOI
Schwarz, K. A., Rüdian, S., Kellermann, C. (2024). A Computerized Adaptive Competency-Based Placement Test. AI in Education and Educational Research (ECAI Workshop). DOI
Rüdian, S., Schumacher, C., Hanses, M., Kuzilek, J., Pinkwart, N. (2024). Rule-based and prediction-based computer-generated Feedback in Online Courses. IEEE International Conference on Advanced Learning Technologies (ICALT). DOI
Rüdian, S., Pinkwart, N. (2023). Auto-generated language learning online courses using generative AI models like ChatGPT. Die 21. Fachtagung Bildungstechnologien (DELFI). 🏆 Best Paper Award DOI
Rüdian, S., Pinkwart, N. (2023). Performance-Differences in Groups based on Preferences in a Language Learning Online Course. IEEE International Conference on Advanced Learning Technologies (ICALT). DOI
Rüdian, S., Pinkwart, N. (2023). LSTM Cocktail to Generate Merged Strategies for Sequencing. IEEE International Conference on Advanced Learning Technologies (ICALT). DOI
Rüdian, S., Pinkwart, N. (2023). Performance by Preferences – An Experiment in Language Learning. International Conference on Artificial Intelligence in Education (AIED). DOI
Rüdian, S., Kuzilek, J., Schumacher, C., Pinkwart, N. (2023). Pre-selecting Text Snippets to Provide Formative Feedback. International Conference on Educational Data Mining (EDM). DOI
Rüdian, S., Schumacher, C., Pinkwart, N. (2023). Computer-Generated Formative Feedback Using Pre-selected Text Snippets. International Learning Analytics and Knowledge Conference (LAK).
Rüdian, S., Pinkwart, N. (2022). Game-Centered Language Learning based on Tasks, Dialogs and Cheating. IEEE International Conference on Advanced Learning Technologies (ICALT). DOI
Rüdian, S., Pinkwart, N. (2022). Predicting Preferences in Online Courses. IEEE International Conference on Advanced Learning Technologies (ICALT). 🏆 Best Short Paper Award DOI
Rüdian, S., Pinkwart, N. (2022). Generating Sequences for Online Courses using a GAN. IEEE International Conference on Advanced Learning Technologies (ICALT). DOI
Rüdian, S., Pinkwart, N. (2022). Do learners really have different preferences? IEEE International Conference on Advanced Learning Technologies (ICALT). DOI
Rüdian, S., Haase, J., Pinkwart, N. (2022). Predicting Creativity in Online Courses. IEEE International Conference on Advanced Learning Technologies (ICALT). DOI
Rüdian, S., Dittmeyer, M., Pinkwart, N. (2022). Challenges of using auto-correction tools for language learning. International Learning Analytics and Knowledge Conference (LAK). DOI
Rüdian, S., Haase, J., Pinkwart, N. (2021). The relation of convergent thinking and trace data in an online course. Die 19. Fachtagung Bildungstechnologien (DELFI).
Rüdian, S., Khan, M. H., Pinkwart, N. (2021). Using H5P in Exams: A Method to prevent Cheating. IEEE International Conference on Advanced Learning Technologies (ICALT). DOI
Rüdian, S., Pinkwart, N. (2021). Generating adaptive and personalized language learning online courses in Moodle. IEEE International Conference on Advanced Learning Technologies (ICALT). DOI
Paaßen, B., Bertsch, A., Langer-Fischer, K., Rüdian, S., Wang, X., Sinha, R., Kuzilek, J., Britsch, S. (2021). Analyzing Student Success and Mistakes in Virtual Microscope Structure Search Tasks. International Conference on Educational Data Mining (EDM).
Rüdian, S., Pinkwart, N. (2021). Using Data Quality to compare Prediction Accuracy. International Conference on Educational Data Mining (EDM).
Rüdian, S., Pinkwart, N. (2021). Finding the optimal topic sequence for online courses. International Conference on Educational Data Mining (EDM).
Rüdian, S., Gundlach, J., Pinkwart, N. (2021). 10 Items Questionnaire for Norms and Values in Education. International Learning Analytics and Knowledge Conference (LAK).
Rüdian, S., Gundlach, J. (2021). The country of origin as indication for cultural norms and values to personalize online courses. International Learning Analytics and Knowledge Conference (LAK).
Vladova, G., Rüdian, S. (2020). From Learners to Educators – Development of Online Courses by Students for Students. International Conference: The Future of Education.
Rüdian, S., Pinkwart, N. (2020). Is the context-based Word2Vec representation useful to determine Question Words for Generators? Die 18. Fachtagung Bildungstechnologien (DELFI).
Rüdian, S., Heuts, A., Pinkwart, N. (2020). Educational Text Summarizer: Which sentences are worth asking for? Die 18. Fachtagung Bildungstechnologien (DELFI).
Rüdian, S., Quandt, J., Hahn, K., Pinkwart, N. (2020). Automatic Feedback for Open Writing Tasks. Die 18. Fachtagung Bildungstechnologien (DELFI).
Vladova, G., Haase, J., Rüdian, S., Pinkwart, N. (2019). Educational Chatbot with Learning Avatar for Personalization. AMCIS Proceedings.
Rüdian, S., Pinkwart, N. (2019). Towards an Automatic Q&A Generation for Online Courses. Artificial Intelligence in Education (AIED). DOI
Rüdian, S., Vladova, G., Gundlach, J., Kazimzade, G., Pinkwart, N. (2019). Predicting Culture and Personality in Online Courses. Supporting Lifelong Learning (AIED Workshop).
Rüdian, S., Pinkwart, N., Liu, Z. (2018). I know who you are: Deanonymization using Facebook Likes. INFORMATIK Conference.
Liu, Z., Rüdian, S., Yang, C., Sun, J., Liu, S. (2018). Tracking the dynamics of SPOC discussion forums. International Conference of Educational Innovation. DOI
Rüdian, S., Liu, Z., Pinkwart, N. (2018). Comparison of SVM and ANN for identifying students' learning performance. International Conference of Educational Innovation. DOI

Journal Articles

Rüdian, S., Vladova, G. (2021). Kostenfreie Onlinekurse nachhaltig mit personalisiertem Marketing finanzieren – Ein Vorschlag zur synergetischen Kombination zweier datengetriebener Geschäftsmodelle. HMD Praxis der Wirtschaftsinformatik, 58(3). DOI
Pinkwart, N., Rüdian, S. (2020). Die Vermessung des Lernens. Personalmagazin, 31–35.
Liu, Z., Yang, C., Rüdian, S., Liu, S., Zhao, L., Wang, T. (2019). Temporal emotion-aspect modeling for discovering what students are concerned about in online course forums. Interactive Learning Environments, 27(5–6), 598–627. DOI

Book Chapters

Rüdian, S., Elsir, Y., Kretschmer, M., Cayrou, S., Pinkwart, N. (2025). Feedback Indicators: The Alignment between Llama and a Teacher in Language Learning. arXiv. DOI
Rüdian, S. (2024). Exploratory and Confirmatory Prompt Engineering. Educational Prompt Engineering. DOI
Rüdian, S., Pinkwart, N. (2024). Prompt-Engineering zur Generierung von Sprachlerninhalten. Informatik Spektrum. DOI
Rüdian, S., Dittmeyer, M., Pinkwart, N. (2023). Sprachenlernen per KI: Möglichkeiten und Grenzen in der Praxis. Künstliche Intelligenz in der Bildung, Springer. ISBN: 978-3-658-40078-1

Theses

Rüdian, S. (2024). Dissertation: Personalizing Online Courses – From Generated Course Material to the Impact of Item Sequencing Strategies. Humboldt-Universität zu Berlin. DOI
Rüdian, S. (2017). Master Thesis: Deanonymisierung durch soziale Netzwerke am Beispiel Facebook. Humboldt-Universität zu Berlin.
Rüdian, S. (2014). Bachelor Thesis: Browser-History-Stealing: Ein Angriff auf die Privatsphäre. Humboldt-Universität zu Berlin.