Fields of Research

• Artificial Intelligence in Education for supporting learning and teaching processes
• Educational Data Mining and Learning Analytics for student modeling and performance prediction
• Investigating creative performance and learning behaviors through predictive modeling
• Gamification and personalization strategies for enhancing learner engagement
• Human-centered approaches to AI and Human-Computer Interaction in educational technologies
• Data-driven digital platforms and technology-enhanced learning for scalable education

Curriculum Vitae

Academic Positions

• 2023 - 2025: Scientific Researcher, Chair for Complex Multimedia Application Architectures, University of Potsdam
• 2021 - 2023: Scientific Researcher, Computer Science Education/Computer Science and Society, Humboldt University of Berlin
• 2022 - 2023: Research Affliate, Machine Learning for Education Laboratory (ML4ED), Federal Polytechnic School of Lausanne (EPFL), Switzerland
• 2020 - 2021: Research Affliate, Berkman Klein Center for Internet & Society, Harvard University, USA (remote)
• 2019 - 2021: Researcher, Weizenbaum Institute for the Networked Society, Berlin

Studies

• 2017 - 2021: Saarland University - Master of Science in Computer Science, Saarbrücken, Germany
• 2013 - 2017: Anna University - Bachelor of Technology in Information Technology, India

Projects

• since 2025: RELLi – Rechtschreiben Lernen und Lehren intensiv, Foundation for Innovation in Higher Education Teaching.
• 2023–2025: Bildungsraum Digital (BIRD), Federal Ministry of Education and Research (BMBF).
• 2021–2023: Detecting and Supporting Student Creativity in Online Learning (DSSC), German Research Foundation (DFG), Humboldt University of Berlin.
• 2019–2021: BMBF project on Data-driven Business Model Innovation, Weizenbaum Institute for the Networked Society.

Publications

• Erdmann, Sönke; Krishnaraja, Swathi; Wiencke, Benja; Lucke, Ulrike. (2025). Redesigning Personal Learning Environments: Consolidation of Empirical Findings and Conceptual Research Against the Background of a National Educational Infrastructure. 92-101. 10.5220/0013297200003932. 
• Erdmann, Sönke; Krishnaraja, Swathi; Wiencke, Benja; Lucke, Ulrike. (2025). Personal Learning Environments on a National Scale: Experiences from the Development of a Reference Prototype, Communications in Computer and Information Science, Springer (in printing)
• Krishnaraja, Swathi; Tirkova, Stefani, Kovalkov, Anastasia, Paaßen, Benjamin, Gal, Kobi, Pinkwart, Niels. (2025). Modeling Creativity in Education. In: Pirnay-Dummer, P., Ifenthaler, D. (eds) Computer-Based Diagnostics and Systematic Analysis of Knowledge. Advances in Analytics for Learning and Teaching. Springer, Cham. https://doi.org/10.1007/978-3-031-87740-7_9.
• Krishnaraja, Swathi; Wambsganss, Thiemo; Mejia, Paola; Pinkwart, Niels. (2023). Towards a Creativity Support Tool for Facilitating Students’ Creative Thinking on Writing Tasks. In 21. Fachtagung Bildungstechnologien (DELFI) (pp. 231-236). Gesellschaft für Informatik eV.
• Paaßen, Benjamin, Dehne, Julian; Krishnaraja, Swathi; Kovalkov, Anastasia; Gal Kobi, and Pinkwart, Niels. (2022). A conceptual graph-based model of creativity in learning. Front. Educ. 7:1033682. doi: 10.3389/feduc.2022.1033682.
• Renz, André; Krishnaraja, Swathi. (2020). Towards responsible and human-centered AI in EdTech. In ISPIM Conference Proceedings (pp. 1–12). International Society for Professional Innovation Management (ISPIM).
• Renz, André; Krishnaraja, Swathi; Schildhauer, Thomas. (2020). A new dynamic for EdTech in the age of pandemics. In ISPIM Conference Proceedings (pp. 1–11). International Society for Professional Innovation Management (ISPIM).
• Renz, André; Krishnaraja, Swathi; Gronau, Elisa. (2020). Demystification of Artificial Intelligence in Education–How much AI is really in the Educational Technology?. International Journal of Learning Analytics and Artificial Intelligence for Education (iJAI), 2(1), 14.