Back to AI Research

AI Research

Academic League of Artificial Intelligence - An Int... | AI Research

Key Takeaways

  • Academic League of Artificial Intelligence - An Integrative Perspective of Teaching, Research, and Extension presents an organizational framework for student...
  • Academic leagues have become important mechanisms for promoting extracurricular education and strengthening the integration between universities and society.
  • 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.
  • Academic League of Artificial Intelligence - An Integrative Perspective of Teaching, Research, and Extension presents an organizational framework for student-led academic leagues in Computer Science and Engineering.
Paper AbstractExpand

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.

Academic League of Artificial Intelligence - An Integrative Perspective of Teaching, Research, and Extension presents an organizational framework for student-led academic leagues in Computer Science and Engineering. The authors, led by Alison R. Panisson at the Federal University of Santa Catarina (UFSC), propose this model to integrate the three pillars of Brazilian higher education—teaching, research, and extension—into a single, student-centered structure.

The Problem: Fragmented Education in Computing

While Brazilian universities are mandated to integrate teaching, research, and extension, the authors note that student organizations in computing often focus on isolated research agendas or specific technical competitions. Unlike the health sciences, where academic leagues are well-documented as integrative educational tools, there has been a lack of established organizational models for applying this approach to Artificial Intelligence and Computer Science. This gap makes it difficult for institutions to create structured, long-term environments that foster both technical expertise and social engagement.

How the Framework Works

The framework, implemented by the Academic League of Artificial Intelligence (LIA) at UFSC, separates the organization into two distinct layers: a stable administrative board and a dynamic portfolio of projects.

  • Administrative Governance: An elected board of students manages strategic planning, recruitment, and institutional communication. Faculty members serve only as advisors, ensuring that students maintain leadership and autonomy.

  • Project-Based Execution: Projects are created and concluded based on student interest, research needs, or community demands. Each project is led by an elected student who coordinates a team, conducts study groups, and ensures that the work produces tangible outcomes, such as software, tutorials, or scientific publications.

  • Knowledge Preservation: The framework requires systematic documentation of all project activities. This creates a repository of knowledge that allows new members to build on the work of previous generations, preventing the loss of expertise when senior students graduate.

Integrating the Three Pillars

The authors argue that this model turns the three university pillars into a continuous cycle. Students begin by learning theoretical concepts (teaching), apply them to investigate new solutions (research), and disseminate the results through community outreach or open-source tools (extension). By moving between these activities, students develop both technical skills and transversal competencies like leadership, communication, and project management.

Why This Matters

The authors suggest that this framework provides a replicable model for other universities looking to structure student organizations in technical fields. By documenting the experience of LIA since 2019, the paper offers a practical guide for establishing academic leagues that go beyond simple extracurricular clubs. The framework’s flexibility allows it to adapt to the rapid pace of change in Artificial Intelligence while maintaining a consistent institutional identity that supports long-term student development.

Comments (0)

No comments yet

Be the first to share your thoughts!