Chapter 2 · 2026
KNOWPLAN: Knowledge-Driven AI Agents for Smart Degree Pathway Planning
Shuheng Cao, Jiaqi Wu
Abstract
Recent advances in large language models (LLMs) provide powerful capabilities for knowledge-driven course planning. However, building reliable, constraint-aware study planners from publicly available course webpages remains challenging due to heterogeneous data sources, complex multi-logic prerequisites, and multi-requirement constraints. To address these challenges, this paper proposes KNOWPLAN, a proactive, self-evolving multi-agent AI platform that integrates LLM-based extraction, knowledge-graph construction, and constraint-aware reasoning to generate adaptive, personalized study plans.
Topics
Large Language ModelArtificial IntelligenceData MiningRecommender SystemsCourse Planning
Relevance Scores
Long-Horizon Score85
Enterprise Score80
Completeness75
Paper Info
Year2026
Venue
Type
ChapterCh. 2
Authors2
Zone III Analysis
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