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PersonaPath: Towards Knowledge-Centric Personalized Learning Path Planning

Paper recorded by Signals 4 on 2026-09-16 in cs.CL. Abstract reproduced from arXiv; link to the original below.

Published 2026-09-16 on arXiv · recorded by Signals 4 on 2026-09-17

Category: cs.CL · 自然语言处理 · first seen 2026-09-17

Abstract

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 Knowl

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#19 most recent of 186 cs.CL papers we have recorded · ↑ newer: Structured Claim-Level Discourse Representations for Dense Health Narr · ↓ older: EviGen: Predictive Evidence Scaffolding for Verifiable Clinical Ration
Cite this page: PersonaPath: Towards Knowledge-Centric Personalized Learning Path Planning: the #19 most recent of 186 cs.CL papers we have recorded (as of 2026-09-16). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/personapath-towards-knowledge-centric-personalized-learning-path-planning.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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