The Path to Conversational AI Tutors: Integrating Tutoring Best Practices and Targeted Technologies to Produce Scalable AI Agents

Authors: Kirk Vanacore, Ryan S. Baker, Avery H. Closser, Jeremy Roschelle Year: 2026 Venue: arXiv (cs.HC)

Summary

Synthesis paper bridging ITS research + GenAI. Keep/Change/Center/Study framework. Keep knowledge tracing/affect detection; Change delivery with GenAI; Center meaning-making/student agency; Study efficacy/integration.

Key Contributions

Synthesis paper bridging ITS research + GenAI. Keep/Change/Center/Study framework. Keep knowledge tracing/affect detection; Change delivery with GenAI; Center meaning-making/student agency; Study efficacy/integration.

Connections

• intelligent-tutoring

• scaffolding

• personalized-learning

• ai-tutor-effectiveness-review

• pedagogy-ai-mistakes

Related Pages

• codify-socratic-tutoring-programming — LLM + competency tracking instantiation of the conversational tutoring framework

• learnmate2-llm-adaptive-learning — Real-time contextual assistance in online learning

• prompt-injection-defenses-educational-llm-tutors — Real-time latency constraints for conversational tutoring

• international-students-conversational-ai-adaptation — AI as long-term support companion beyond tutoring

• eduagentbench-agent-teaching-benchmark — EduAgentBench tests conversational tutoring capability in realistic settings- paratutor-parent-child-tutoring — ParaTutor

Citation

Kirk Vanacore et al. (2026). The Path to Conversational AI Tutors: Integrating Tutoring Best Practices and Targeted Technologies to Produce Scalable AI Agents. arXiv:2602.19303. cs.HC.