Methodologies for Improving the Quality of AI Tutoring in K-12 Education

arXiv:2608.11259 · cs.CY, cs.AI · Submitted 2026-08-07 · Read on arXiv

Tushar Udeshi, Anna Khazenzon, Kabir Khan, Nick Breen, RJ Corwin, Chris DiGiano, Kodi Weatherholtz, Marek Zaluski

cs.CY, cs.AI

Submitted: 2026-08-07

Updated: 2026-08-13

Comments: 15 pages. Accepted at AIED 2026 (27th International Conference on Artificial Intelligence in Education). Published version: Artificial Intelligence in Education, LNCS vol. 16582, Springer, Cham, first online 25 June 2026 (cite as 2027)

Journal ref: In: Blanchard, E.G., Chen, G., Chi, M., Isotani, S. (eds) Artificial Intelligence in Education. AIED 2026. Lecture Notes in Computer Science, vol 16582. Springer, Cham (2027)

DOI: 10.1007/978-3-032-29755-6_14

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• LLM judge — 12× in this paper · explained in 2 episodes
• F1 Score — 3× in this paper · explained in 4 episodes
• Generative AI — 3× in this paper · explained in 2 episodes
• Language Models (LLMs) — 3× in this paper · explained in 2 episodes
• Large Language Models (LLMs) — 3× in this paper · explained in 9 episodes
• Accuracy — 2× in this paper · explained in 1 episode
• Benchmark — 2× in this paper · explained in 2 episodes
• Papers — 2× in this paper · explained in 3 episodes
• Personalization — 2× in this paper · explained in 2 episodes
• Prompt Engineering — 2× in this paper · explained in 6 episodes
• Artificial Intelligence (AI) — 1× in this paper · explained in 2 episodes
• Benchmarking — 1× in this paper · explained in 4 episodes
• Core — 1× in this paper · explained in 2 episodes
• LLM-as-a-Judge — 1× in this paper · explained in 4 episodes

Sources

• A Survey on LLM-as-a-Judge
• Towards Responsible Development of Generative AI for Education: An Evaluation-Driven Approach
• MathTutorBench: A Benchmark for Measuring Open-ended Pedagogical Capabilities of LLM Tutors

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