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Academic League Of Artificial Intelligence - An Integrative Perspective Of Teaching, Research, And Extension

Date
Publisher
arXiv
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.
Study at a glance
  • Question: How can an academic league integrate teaching, research, and university extension within computer science and artificial intelligence education?
  • Setting and data: Academic League of Artificial Intelligence at the Federal University of Santa Catarina, Brazil, established in 2019, involving undergraduate students across multiple project initiatives.
  • Method: Case study and qualitative descriptive analysis of an organizational framework and its representative projects.
Why it matters

Documented organizational models that integrate teaching, research, and extension remain scarce in computer science and artificial intelligence education, where academic leagues have received limited study compared to health-related fields.

Key findings
  • A democratic administrative board combined with flexible project teams enabled students to lead initiatives integrating classroom instruction, research, and public extension.
  • Student-led competition teams, study groups, and outreach activities produced educational artifacts, including public online courses, tutorials, and an open knowledge repository.
  • Interactive computer vision projects such as Forca Libras demonstrated how student initiatives can yield research publications alongside accessible educational tools for Brazilian Sign Language learning.

Summary drafted with AI from the full paper and may contain errors. See the full paper for details.

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