Meyer, Jennifer

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

Which student and instructional variables are most strongly related to academic motivation in K-12 education? A systematic review of meta-analyses

Jansen, T., Meyer, J., Wigfield, A., & Möller, J. (2022) · Psychological Bulletin

Education, Achievement, and GiftednessMotivation and Self-Concept in Sports

Cited by 77

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

Advancing feedback research in educational psychology: Insights into feedback processes and determinants of effectiveness

Daumiller, M., & Meyer, J. (2026) · Contemporary Educational Psychology

Student Assessment and FeedbackInnovative Teaching and Learning Methods

Cited by 23

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

When LLMs Hallucinate: Examining the Effects of Erroneous Feedback in Math Tutoring Systems

Steinbach, M., Bhandari, S., Meyer, J., & Pardos, Z. A. (2025) · Proceedings of the Twelfth ACM Conference on Learning @ Scale

Intelligent Tutoring Systems and Adaptive LearningArtificial Intelligence in Education

Cited by 12

Feedback from Generative AI: Correlates of Student Engagement in Text Revision from 655 Classes from Primary and Secondary School

Jansen, T., Horbach, A., & Meyer, J. (2025) · Proceedings of the 15th International Learning Analytics and Knowledge Conference

Student Assessment and FeedbackArtificial Intelligence in Education

Cited by 12