A comprehensive index of artificial intelligence and machine-learning research with AI-generated summaries, citation metrics, and direct links to papers and code.
Cecilia Ka Yuk Chan
Proposes an AI Ecological Education Policy Framework with pedagogical, governance, and operational dimensions based on surveys of 457 students and 180 teachers in Hong Kong universities.
W. Holmes, Ilkka Tuomi
A review of AI in education systems that develops a typology grounded in pedagogic assumptions and critiques exaggerated expectations.
Fanfei Li, Jana Zeller, Manuel Prada-Corral, et al.
Introduces LittleLearner, a 5B-parameter LLM trained on an 88B-token curriculum of U.S. elementary school material, providing a controlled sandbox to study knowledge acquisition and capability boundaries.
Unknown
This paper introduces a Graph RAG approach for automated short answer grading that provides fine-grained, explainable feedback by returning explicitly linked facts, contrasting with coarse Vector-RAG passages.
Yunfan Li, Bingbing Xu, Xueyun Tian, et al.
Proposes Task-Decoupled Planning (TDP), a training-free framework that decomposes long-horizon tasks into a DAG of sub-goals, isolating reasoning to reduce error propagation and token consumption.
Unknown
LearnLM enhances Gemini for pedagogical instruction by co-training SFT and RLHF, outperforming leading LLMs in tutoring scenarios.