Jansen, Thorben

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

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

Humanity's Last Exam

Phan, L., Gatti, A., Han, Z., Li, N., Hu, J., Zhang, H., Zhang, C. B. C., Shaaban, M., Ling, J., Shi, S., et al. (2025) · arXiv

Topic ModelingMultimodal Machine Learning Applications

Cited by 65

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

Agents' Last Exam

Sun, Y., Han, X., Zhang, W., Pang, Y., Wang, T., Cao, Y., Huang, Y., Liu, X., Di, Z., Duroiu, C., et al. (2026) · arXiv

Artificial Intelligence ApplicationsAI-based Problem Solving and Planning

Cited by 0