Assessing the Pedagogical Readiness of Large Language Models as AI Tutors in Low-Resource Contexts: A Case Study of Nepal's K-10 Curriculum
arXiv 2604.09619•13eeca2097843c6e120dfd6757beeadfa5e6862cc031d524168cf01700065d19
AI-governanceEHREU-AI-Actagentic-AIanomaly-detectionbiascurriculum-alignmentdataseteducationexplainabilityhealthcarehuman-in-the-looplarge-language-modelsprivacysensitive-attribute-inference
Paper metadata
- arXiv ID
- 2604.09619
- Version
- Not specified by this published record
- Category
- Computer Science — Computers and Society (cs.CY)
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- Source ID
- arxiv_cs_cy
- Record identifier
- 13eeca2097843c6e120dfd6757beeadfa5e6862cc031d524168cf01700065d19
- Enrichment time
- 2026-04-14T07:23:55Z
- AI-assisted enrichment
- Yes
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