Danielle R. Thomas, Marie Cynthia Abijuru Kamikazi, Clara Brandt, Conrad Borchers, Kenneth R. Koedinger (2026) — Institution.
AI-driven assessment of human tutor training performance correlates with real-life tutoring quality; bridges the gap between training metrics and classroom practice.
Synthesis
AI-Driven Assessment of Human Tutors: Linking Training Performance to Real-Life Practice investigates ai-driven assessment of human tutor training performance correlates with real-life tutoring quality; bridges the gap between training metrics and classroom practice. This work connects to existing research on intelligent-tutoring-systems by demonstrating that Abstract:There exist numerous tutor training platforms. However, few provide AI-driven training and evaluation for human tutors based on real-life performance. We present an AI-driven system that assesses both open responses during training and authentic real-life tutoring. Unlike platforms that onl....
Related Pages
- intelligent-tutoring-systems - teacher-role - ai-assistance-discretionary-feedback - formative-assessment - adaptive-virtual-patient-psychotherapy-training- gpt4o-mini-music-analysis-scoring — GPT-4o-mini vs teacher mean scores for automated scoring of music analysis responses
Citation
APA: Danielle R. Thomas, Marie Cynthia Abijuru Kamikazi, Clara Brandt, Conrad Borchers, Kenneth R. Koedinger (2026). AI-Driven Assessment of Human Tutors: Linking Training Performance to Real-Life Practice. arXiv:2606.18617.