Johanna Fleckenstein

According to our database, Johanna Fleckenstein authored at least 10 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of five.
• 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

Comparing Teacher and AI-Generated Feedback in the Writing Classroom: Experimental Results from Secondary School Classrooms.

Jennifer Meyer, Marlene Steinbach, Ronja Schiller, Ute Mertens, Nils-Jonathan Schaller, Andrea Horbach, Johanna Fleckenstein, Olaf Köller, René F. Kizilcec, Thorben Jansen

Proceedings of the Thirteenth ACM Conference on Learning @ Scale, 2026

2025

Neural Networks or Linguistic Features? - Comparing Different Machine-Learning Approaches for Automated Assessment of Text Quality Traits Among L1- and L2-Learners' Argumentative Essays.

Julian F. Lohmann, Fynn Junge, Jens Möller, Johanna Fleckenstein, Ruth Trüb, Stefan D. Keller, Thorben Jansen, Andrea Horbach

Int. J. Artif. Intell. Educ., September, 2025

(De)motivating Zero-Performing Students With Negative Feedback: Does the Salience of Performance Information Matter?

Marlene Steinbach, Johanna Fleckenstein, Livia Kuklick, Jennifer Meyer

J. Comput. Assist. Learn., 2025

On the role of engagement in automated feedback effectiveness: Insights from keystroke logging.

Ronja Schiller, Johanna Fleckenstein, Lars Höft, Andrea Horbach, Jennifer Meyer

Comput. Educ., 2025

Self-assessment accuracy in the age of artificial Intelligence: Differential effects of LLM-generated feedback.

Lucas W. Liebenow, Fabian T. C. Schmidt, Jennifer Meyer, Johanna Fleckenstein

Comput. Educ., 2025

2024

Understanding the effectiveness of automated feedback: Using process data to uncover the role of behavioral engagement.

Ronja Schiller, Johanna Fleckenstein, Ute Mertens, Andrea Horbach, Jennifer Meyer

Comput. Educ., 2024

Using LLMs to bring evidence-based feedback into the classroom: AI-generated feedback increases secondary students' text revision, motivation, and positive emotions.

Jennifer Meyer, Thorben Jansen, Ronja Schiller, Lucas W. Liebenow, Marlene Steinbach, Andrea Horbach, Johanna Fleckenstein

Comput. Educ. Artif. Intell., 2024

Do teachers spot AI? Evaluating the detectability of AI-generated texts among student essays.

Johanna Fleckenstein, Jennifer Meyer, Thorben Jansen, Stefan D. Keller, Olaf Köller, Jens Möller

Comput. Educ. Artif. Intell., 2024

2023

Automated feedback and writing: a multi-level meta-analysis of effects on students' performance.

Johanna Fleckenstein, Lucas W. Liebenow, Jennifer Meyer

Frontiers Artif. Intell., February, 2023