Laura Brandl

According to our database, Laura Brandl authored at least 6 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

The Future of Feedback: How Can AI Help Transform Feedback to Be More Engaging, Effective, and Scalable?

Jennifer Meyer, Olaf Köller, Thorben Jansen, Johanna Fleckenstein, Michael W. Asher, Sarah Bichler, Laura Brandl, Jasmin Breitwieser, Kai S. Cortina, Mutlu Cukurova, Martin Daumiller, Hannah Deininger, Frank Fischer, Dragan Gasevic, Jeanine Grutter, Anna Hilz, Ioana Jivet, Jelena Jovanovic, René F. Kizilcec, Livia Kuklick, Marlit Annalena Lindner, Anastasiya Lipnevich, Ute Mertens, Detmar Meurers, Kou Murayama, Tanya Nazaretsky, Knut Neumann, Ernesto Panadero, Maciej Pankiewicz, Zachary A. Pardos, Chris Piech, Hannah Pünjer, Nikol Rummel, Marlene Steinbach, Olga Viberg, Naomi E. Winstone

CoRR, March, 2026

2025

Correction: Collaborative Problem-Solving in Knowledge-Rich Domains: A Multi-Study Structural Equation Model.

Laura Brandl, Matthias Stadler, Constanze Richters, Anika Radkowitsch, Martin R. Fischer, Ralf Schmidmaier, Frank Fischer

Int. J. Comput. Support. Collab. Learn., March, 2025

Can Generative Artificial Intelligence Ever Be a True Collaborator? Rethinking the Nature of Collaborative Problem-Solving (short paper).

Laura Brandl, Constanze Richters, Nicola Kolb, Matthias Stadler

Proceedings of the Second International Workshop on Generative AI for Learning Analytics co-located with the 15th International Conference on Learning Analytics and Knowledge (LAK 2025), 2025

"Piecing Data Connections Together Like a Puzzle": Effects of Increasing Task Complexity on the Effectiveness of Data Storytelling Enhanced Visualisations.

Mikaela Elizabeth Milesi, Paola Mejia-Domenzain, Laura Brandl, Vanessa Echeverría, Yueqiao Jin, Dragan Gasevic, Yi-Shan Tsai, Tanja Käser, Roberto Martínez-Maldonado

Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems, 2025

2024

Collaborative Problem-Solving in Knowledge-Rich Domains: A Multi-Study Structural Equation Model.

Laura Brandl, Matthias Stadler, Constanze Richters, Anika Radkowitsch, Martin R. Fischer, Ralf Schmidmaier, Frank Fischer

Int. J. Comput. Support. Collab. Learn., September, 2024

2023

20 years of interactive tasks in large-scale assessments: Process data as a way towards sustainable change?

Matthias Stadler, Laura Brandl, Samuel Greiff

J. Comput. Assist. Learn., December, 2023