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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.

Eigenvector Insight — Zone III / PASF-PADE AnalysisNot part of the original paper
Eigenvector Research — Marco van Hurne
How this paper contributes to solving the Zone III problem (PASF-PADE)

This paper directly addresses one of the core structural challenges in Zone III deployments. The research on Large Language Model, Artificial Intelligence, Data Mining provides evidence-based foundations that enterprise architects cannot ignore when designing long-horizon autonomous workflows. The findings challenge the assumption that a base language model — however capable — can handle the complexity of durable, governed, multi-step execution without explicit architectural intervention. For Zone III practitioners, this paper belongs in the required reading list.

Why AI is not sufficient for Zone III without this

Zone III refers to high-complexity, high-risk, long-running agentic workflows — the class of enterprise AI deployments where a single failure can cascade across hundreds of steps. Standard AI models, trained to predict the next token, are not inherently designed for durable, governed, multi-step execution. This paper addresses one or more of the structural gaps that make Zone III deployments unsafe without explicit architectural intervention.

Topics

Large Language ModelArtificial IntelligenceData MiningRecommender SystemsCourse Planning