Fleckenstein, Johanna

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

Meyer, J., Jansen, T., Schiller, R., Liebenow, L. W., Steinbach, M., Horbach, A., & Fleckenstein, J. (2024) · Computers and Education: Artificial Intelligence

Student Assessment and FeedbackIntelligent Tutoring Systems and Adaptive Learning

Cited by 311

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

Fleckenstein, J., Liebenow, L. W., & Meyer, J. (2023) · Frontiers in Artificial Intelligence

Student Assessment and FeedbackArtificial Intelligence in Education

Cited by 145

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

Fleckenstein, J., Meyer, J., Jansen, T., Keller, S. D., Köller, O., & Möller, J. (2024) · Computers and Education: Artificial Intelligence

Artificial Intelligence in EducationAcademic integrity and plagiarism

Cited by 126

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

Schiller, R., Fleckenstein, J., Mertens, U., Horbach, A., & Meyer, J. (2024) · Computers & Education

Student Assessment and FeedbackEFL/ESL Teaching and Learning

Cited by 36

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

Schiller, R., Fleckenstein, J., Höft, L., Horbach, A., & Meyer, J. (2025) · Computers & Education

Student Assessment and FeedbackIntelligent Tutoring Systems and Adaptive Learning

Cited by 14

LLM feedback for academic writing: Effects on students’ performance and engagement

Glüsing, R., Fleckenstein, J., Schmidt, F. T. C., & Möller, J. (2026) · Contemporary Educational Psychology

Artificial Intelligence in EducationStudent Assessment and Feedback

Cited by 2