{"slug": "personapath-towards-knowledge-centric-personalized-learning-path-planning", "title": "PersonaPath: Towards Knowledge-Centric Personalized Learning Path Planning", "summary": "Researchers introduced PersonaPath, a benchmark pairing 2,000 fine-grained learner personas with a hierarchical knowledge graph of 347 textbooks, 1,751 units, and 4,092 concepts across 77 subjects, to evaluate Knowledge-Centric personalized learning path planning. Evaluating representative LLMs on PersonaPath, the strongest model reached only a 29.5% final pass rate in Basic Education, and no model exceeded 44.7% in adaptivity, indicating that tailoring paths to individual learners is the main bottleneck.", "body_md": "arXiv:2609.18861v1 Announce Type: new \nAbstract: Adaptive learning systems commonly formulate learning path planning as Exercise-Centric (EC) recommendation, where the next step is inferred from item-level interaction logs. Evaluating goal-oriented guidance additionally requires explicit learner goals and curriculum-scale prerequisites: learners with similar exercise records may need different paths toward their targets. We therefore study Knowledge-Centric (KC) personalized learning path planning, where a planner must reason over learner profiles, mastery states, and prerequisite knowledge structures to decide which textbook, unit, and concept should be studied next. To support this setting, we introduce PersonaPath, a benchmark that pairs 2,000 fine-grained learner personas with a hierarchical knowledge graph of 347 textbooks, 1,751 units, and 4,092 concepts across 77 subjects. We evaluate representative LLMs on PersonaPath. Results show that even the strongest LLM reaches only a 29.5% final pass rate in Basic Education, and that the main bottleneck lies in adaptivity, where no model exceeds 44.7% in tailoring paths to individual learners.", "url": "https://wpnews.pro/news/personapath-towards-knowledge-centric-personalized-learning-path-planning", "canonical_source": "https://www.machinebrief.com/news/personapath-towards-knowledge-centric-personalized-learning-f19e", "published_at": "2026-09-17 04:00:00+00:00", "updated_at": "2026-09-17 09:25:26.886826+00:00", "lang": "en", "topics": ["artificial-intelligence", "machine-learning", "large-language-models", "ai-research"], "entities": ["PersonaPath", "LLMs"], "alternates": {"html": "https://wpnews.pro/news/personapath-towards-knowledge-centric-personalized-learning-path-planning", "markdown": "https://wpnews.pro/news/personapath-towards-knowledge-centric-personalized-learning-path-planning.md", "text": "https://wpnews.pro/news/personapath-towards-knowledge-centric-personalized-learning-path-planning.txt", "jsonld": "https://wpnews.pro/news/personapath-towards-knowledge-centric-personalized-learning-path-planning.jsonld"}}