发表机构
Federal University of Santa Catarina (UFSC)（圣卡塔琳娜联邦大学）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
本文介绍了圣卡塔琳娜联邦大学人工智能学术联盟的组织框架，该框架以学生为中心、基于项目，整合教学、研究与推广，为高校三大支柱融合提供了灵活可复制的模式。
AI 中文摘要
学术联盟已成为促进课外教育、加强高校与社会融合的重要机制。本文介绍了圣卡塔琳娜联邦大学（UFSC）人工智能学术联盟（LIA）采用的组织框架，该框架以学生为中心、基于项目的方法设计，旨在整合教学、研究与大学推广。该框架结合民主治理、协作学习和动态项目组织，以培养技术与跨学科能力。该框架通过竞赛团队、学习小组、公开讲座、知识仓库以及具有社会影响的人工智能应用等代表性举措加以说明。这些项目展示了如何在共同组织结构内开展多样化的教育、科研与推广活动，同时促进领导力、科研产出、社区参与和知识保存。所报告的经验表明，所提出的框架为将大学三大支柱整合到工程与计算机教育中提供了灵活且可复制的模式，为学术联盟及类似学生组织提供了实践指导。
英文摘要
Academic leagues have become important mechanisms for promoting extracurricular education and strengthening the integration between universities and society. This paper presents the organizational framework adopted by the Academic League of Artificial Intelligence (LIA) at the Federal University of Santa Catarina (UFSC), designed to integrate teaching, research, and university extension through a student-centered, project-based approach. The framework combines democratic governance, collaborative learning, and dynamic project organization to foster both technical and transversal competencies. The framework is illustrated through representative initiatives, including competition teams, study groups, open lectures, knowledge repositories, and AI-powered applications with social impact. These projects demonstrate how diverse educational, scientific, and extension activities can be developed within a common organizational structure while promoting leadership, scientific production, community engagement, and knowledge preservation. The reported experience indicates that the proposed framework provides a flexible and replicable model for integrating the three university pillars into engineering and computing education, offering practical guidance for academic leagues and similar student organizations.
Comments21 pages, 3 figures, 7 tables
