Campus Resonance AI: A Recursive Communication Architecture for Modern Universities
Year: 2025
Type: article
Abstract: CampusPulse AI: A Recursive Communication Architecture for Modern Universities presents a next-generation framework for transforming academic communication, student engagement, and institutional intelligence. Built on YFRL’s recursive epistemic foundations, this whitepaper introduces CampusPulse AI as a dynamic communication nervous system that continuously learns, adapts, and evolves with student behaviour and institutional priorities. The paper outlines the collapse of traditional linear communication models in higher education and proposes a recursive, non-halting intelligence architecture as the solution. CampusPulse AI integrates intent recognition, student graph modelling, epistemic tensors, adaptive nudging, well-being sensing, research discovery broadcasting, and real-time engagement analytics into a unified system. It demonstrates how recursive communication loops enhance student engagement, strengthen placement readiness, increase research participation, reduce dropout rates, and transform university branding. The architecture further extends toward multi-campus resonance networks, industry-aligned ecosystems, and the long-term vision of a global academic epistemic brain. This whitepaper serves as a blueprint for universities, researchers, policy-makers, and technologists seeking to build the future of intelligent, student-centric education—powered by AI, aligned through recursion, and guided by YFRL’s ethical epistemic framework.
Author: Prakash, Prashant
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: green
OpenAlex ID: W7106326705
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