Smart Navigation Developing AI Agents for K12- Students

Fan Chenxing

Abstract

This paper proposes Smart Navigation, an ACP-based multi-agent framework for personalized and interest-aware learning navigation in K-12 education. The core challenge addressed in this paper is not the absence of isolated technical tools, but the lack of a structured framework that can simultaneously organize interdisciplinary learning content, model learners’ knowledge states and evolving interests, support adaptive strategy generation, and maintain clear safety boundaries for young learners. Building upon the iSTREAMS educational framework—where i denotes Inspirations, Innovations, Interdisciplinary, Intelligence, and International; STREAM denotes Sciences, Technology, Robotics/Research, Engineering/Economy/Ecology, Arts/AI, and Math/Management/Manufacturing; and s refers to Safety, Security, Sustainability, Sensitivity, Service, and Smartness—this paper treats iSTREAMS as the content and value backbone of Smart Navigation. The ACP methodology provides its operational logic through artificial learning systems, computational experiments, and parallel execution. On this basis, three software-defined knowledge robots—the Descriptive Intelligence Agent, Predictive Intelligence Agent, and Prescriptive Intelligence Agent—are introduced to support knowledge representation, learner-state estimation, and learning-strategy generation, respectively. The framework also defines Parallel Teachers as a teacher–agent collaborative structure rather than a replacement of human teachers. Three illustrative scenarios covering early primary, school-transition, and high-school project learning demonstrate how Smart Navigation can support differentiated K-12 learning needs. The contribution of this work lies in providing a theoretically integrated, mechanistically interpretable, and educationally extensible framework for AI-agent-based learning navigation systems, while clarifying limitations and future directions for classroom deployment, multimodal modeling, and data governance.

Artificial Intelligence for Education

Smart Navigation Developing AI Agents for K12- Students

Abstract

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