Cited by 0Intelligent Tutoring Systems and Adaptive LearningInnovative Teaching and Learning MethodsArtificial Intelligence in Education

Evidence-Decision-Feedback: Theory-Driven Adaptive Scaffolding for LLM Agents

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Cohn, Clayton, Guo, Siyuan, Rayala, Surya, Wang, Hanchen David, Mohammed, Naveeduddin, Timalsina, Umesh, Jain, Shruti, Eeds, Angela +6 more·2027·Lecture Notes in Computer Science

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Crossref · 10.1007/978-3-032-29744-0_1

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References 23

Authors
Cohn, C., Guo, S., Rayala, S., Wang, H. D., Mohammed, N., Timalsina, U., Jain, S., Eeds, A., Deweese, M., Osborn Popp, P. J., Stanton, R., Walker, S. L., Ma, M., & Biswas, G.
Affiliations
Vanderbilt University (US)
Corresponding author
Cohn, Clayton
Venue
Lecture Notes in Computer Science
Published
2026-06-27
Pages
1-16
ISSN
  • 0302-9743 (ISSN-L)
  • 1611-3349
OpenAlex
W7166071742
Cited by
0
References
23
FWCI
0.00
Type
conference paper
Language
en
Open access
Locations
  • Lecture notes in computer science (publishedVersion)
  • arXiv (Cornell University) (submittedVersion)
  • arXiv (Cornell University)
Funders
  • National Science Foundation (2112635, 2327708)
  • U.S. Department of Education
Topics
  • Physical Sciences › Computer Science › Artificial Intelligence › Intelligent Tutoring Systems and Adaptive Learning
  • Social Sciences › Psychology › Developmental and Educational Psychology › Innovative Teaching and Learning Methods
  • Physical Sciences › Computer Science › Information Systems › Artificial Intelligence in Education
Keywords
LLM agents, educational agents, adaptive scaffolding, intelligent tutoring systems, agentic behavior, pedagogical decision-making, adaptive feedback, overreliance on AI, interpretable explanations, high school students

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