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Prof. Dr. Nikol Rummel

Research Professor

Nikol Rummel

Prof. Dr. Nikol Rummel is a research professor and heads the research program Educational Technologies and Artificial Intelligence at the Center for Advanced Internet Studies (CAIS), where she deals with questions around the dynamic interaction of teachers, learners and supporting technologies. Her research focuses on issues related to the design and technical implementation of digital learning environments and the challenges and opportunities of learning and teaching in digital environments.

Curriculum Vitae

  • Since 2010: Professor at the Chair of Educational Psychology and Educational Technology at the Ruhr-University Bochum.
  • 2010: Habilitation in Psychology at the University of Freiburg, Germany
  • Since 2008: Associate Professor at the Human Computer Interaction Institute of Carnegie Mellon University, Pittsburgh, USA
  • 2004: Doctorate in Psychology at the University of Freiburg
  • 2002: Diploma in Psychology at the University of Freiburg
  • 2000: Master of Science in Educational Psychology at the University of Wisconsin-Madison, USA

Selected Publications and Conference Contributions

Brand, C., Hartmann, C., Loibl, K. & Rummel, N. (2023). Do students learn more from failing alone or in groups? Insights into the effects of collaborative versus individual problem solving in productive failure. Instructional Science. Published. https://doi.org/10.1007/s11251-023-09619-7

Lawrence, L., Guo, B., Yang, K., Echeverria, V., Kang, Z., Bathala, V., Li, C., Huang, W., Aleven, V., & Rummel, N. (2022). Process to co-design AI-based orchestration tools to support dynamic transitions: Design narratives through Conjecture Mapping. In A. Weinberger, W. Chen, D. Hérnandez-Leo & B. Chen (Eds.), International collaboration toward educational innovation for all: overarching research, development, and practices, Proceedings of the 15th International Conference on Computer-Supported Collaborative Learning (CSCL 2022) (pp. 139-146). Hiroshima, Japan: International Society of the Learning Sciences. *Best Design Paper Award

Nachtigall, V., Shaffer, D.W., & Rummel, N. (2022). Stirring a Secret Sauce: A Literature Review on the Conditions and Effects of Authentic Learning. Educational Psychology Review. 341479–1516. https://doi.org/10.1007/s10648-022-09676-3

Hartmann, C., van Gog, T., & Rummel, N. (2022). Productive versus vicarious failure: Do students need to fail themselves in order to learn? Applied Cognitive Psychology 1–15. https://doi.org/10.1002/acp.4004

Echeverria, V., Holstein, K., Huang, J., Sewall, J., Rummel, N., Aleven, V. (2020) Exploring Human–AI Control Over Dynamic Transitions Between Individual and Collaborative Learning. In Alario-Hoyos C., Rodríguez-Triana M.J., Scheffel M., Arnedillo-Sánchez I., Dennerlein S.M. (Eds.), Addressing Global Challenges and Quality Education.EC-TEL 2020 Lecture Notes in Computer Science, vol 12315. Springer, Cham. https://doi.org/10.1007/978-3-030-57717-9_17 *Nominated for Best Paper Award

  • Van Leeuwen, A., Strauss, S., & Rummel, N. (2023). Participatory design of teacher dashboards: navigating the tension between teacher input and theories on teacher professional vision. Frontiers in Artificial Intelligence. 6:1039739. https://doi.org/10.3389/frai.2023.1039739

  • Aleven, V., Mavrikis, M., McLaren, B. M., Nguyen, H. A., Olsen, J. K., & Rummel, N. (2023). Chapter 9: Six instructional approaches supported in AIED systems. In du Boulay, B., Mitrovic, A., & Yacef, K. (Hrsg.), Handbook of Artificial Intelligence in Education (S.184–228). Edward Elgar Publishing. https://doi.org/10.4337/9781800375413.00019

  • Echeverria, V., Yang, K., Lawrence, L., Rummel, N. & Aleven, V. (2023). Designing hybrid human-AI orchestration tools for individual and collaborative activities: A Technology probe study. IEEE Transactions on Learning Technologies, 16(2), 191–205. https://doi.org/10.1109/tlt.2023.3248155

  • Karumbaiah, S., Liu, P., Maksimova, A., De Vylder, L., Rummel, N., Aleven, V. (2023). Multimodal Analytics for Collaborative Teacher Reflection of Human-AI Hybrid Teaching: Design Opportunities and Constraints. In: Viberg, O., Jivet, I., Muñoz-Merino, P., Perifanou, M., Papathoma, T. (eds) Responsive and Sustainable Educational Futures. EC-TEL 2023. Lecture Notes in Computer Science, vol 14200. Springer, Cham. https://doi.org/10.1007/978-3-031-42682-7_45

  • Lawrence, L., Guo, B., Yang, K., Echeverria, V., Kang, Z., Bathala, V., Li, C., Huang, W., Aleven, V., & Rummel, N. (2022). Process to co-design AI-based orchestration tools to support dynamic transitions: Design narratives through Conjecture Mapping. In A. Weinberger, W. Chen, D. Hérnandez-Leo & B. Chen (Eds.), International collaboration toward educational innovation for all: overarching research, development, and practices, Proceedings of the 15th International Conference on Computer-Supported Collaborative Learning (CSCL 2022) (pp. 139-146). Hiroshima, Japan: International Society of the Learning Sciences. *Best Design Paper Award

  • Yang, K. B., Echeverria, V., Lu, Z., Mao, H., Holstein, K., Rummel, N. & Aleven, V. (2023). Pair-up: prototyping human-AI co-orchestration of dynamic transitions between individual and collaborative learning in the classroom. Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems (CHI 2023). ACM, New York. https://doi.org/10.1145/3544548.3581398

  • Radtke, A., Osinski, M., Scheffel, M., Serova, K., Rummel, N. (2023). Help me to help myself: Eine Feldstudie zur Wirksamkeit einer datenbasierten Unterstützung von Selbstregulationskompetenzen in digital gestützten Lernsettings. In R. Röpke & U. Schroeder (Hrsg.), Proceedings der 21. Fachtagung Bildungstechnologien (DELFI) (S. 29-40). https://doi.org/10.18420/delfi2023-11

  • Eberle, J., Strauß, S., Nachtigall, V., & Rummel, N. (2024). The potential of learning analytics for research on behavioral learning processes: current and future significance for research on learning and instruction. Unterrichtswissenschaft. https://doi.org/10.1007/s42010-024-00205-5

  • Radtke, A., Osinski, M., Serova, K., Scheffel, M., Rummel, N. (2024). Learning Analytics in der Erziehungswissenschaft: Lerndatenbasierte Förderung von Selbstregulation in einem Statistikkurs [Learning Analytics in Educational Science: Learning Data-Based Support of Self-Regulation in a Statistics Course]. In P. Salden & J. Leschke (Eds.), Learning Analytics und Künstliche Intelligenz in Studium und Lehre [Learning Analytics and Artificial Intelligence in Learning and Teaching]. Doing Higher Education. Springer VS, Wiesbaden. https://doi.org/10.1007/978-3-658-42993-5_3

  • Radtke, A. & Rummel, N. (2025). Generative AI in academic writing: Does information on authorship impact learners‘ revision behavior? Computers and Education: Artificial Intelligence, 8, Article 100350. https://doi.org/10.1016/j.caeai.2024.100350

Weitere anzeigen

  • Rummel, N. (January 2021): Keynote speaker at PULSE (Partnerships to Upscale the Learning Sciences in Europe) Symposium at the University of Twente, Netherlands

  • Rummel, N. (June 2023): Keynote speaker at the third annual conference of the International Society of the Learning Sciences (ISLS) in Montreal, Canada

  • Rummel, N. (May 2022): Keynote speaker at the GenZ Talks Seminar at the University of Oulu, Finland

  • Rummel, N. (May 2023): Speaker at the Jacobs Foundation Conference, Cascais, Portugal

  • Rummel, N. (November 2018): Speaker at the plenary keynote at the Teaching for Active Learning (TAL) conference at the University of Southern Denmark (Odense)

  • Rummel, N.: (October 2021): Speaker at the Latsis Symposium 2021 STEM: Boosting hidden potentials at the Swiss Federal Institute of Technology (ETH) Zurich, Switzerland

  • Rummel, N. (2024, February 6). Decoding the hype: Can AI help create accessible and inclusive student learning? Invited Speaker at OECD Online Webinar.

  • Rummel, N. (2024, May 8). Künstliche Intelligenz in der Bildung: Möglichkeiten, Chancen und eine kritische Diskussion. Talk, Akademie für Wissenschaft, Wirtschaft und Technik an der Universität Ulm, Ulm, Germany.

  • Rummel, N. (2024, May, 16). Dynamische Wechsel zwischen individuellem und kooperativen Lernen im Klassenzimmer ermöglichen: Ergebnisse aus einem dreijährigen NSF-Projekt zur Ko-Orchestrierung durch KI und Lehrkraft. Invited talk at the Center of Interdisciplinary Research on Digital Education. Pädagogische Hochschule, Freiburg.

  • Rummel, N. (2024, September 2). Dynamische Wechsel zwischen individuellem und kooperativen Lernen im Klassenzimmer ermöglichen: Ergebnisse aus einem dreijährigen NSF-Projekt zur Ko-Orchestrierung durch KI und Lehrkraft. Invited Talk, Fachtagung KI Bildung und Künstliche Intelligenz 2024, Zentrum für Schulqualität und Lehrerbildung Baden-Württemberg, Esslingen.

Weitere anzeigen

Prof. Dr. Nikol Rummel

Research Professor

E-Mail: nikol.rummel@cais-research.de

Bereich: Educational Technologies and Artificial Intelligence

CAIS Team