Return to 🪞The Quantum Mirror: Auditing Artificial Intelligence

👁️Academic Follow-up of Institutional Interest — Quantum Mirror

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Academic Follow-up of Institutional Interest — Quantum Mirror
 
The Quantum Mirror Project is an ongoing pedagogical experiment conducted within the Institute of Physics “Gleb Wataghin” (IFGW/Unicamp). Its goal is to explore, in real classroom conditions, how Artificial Intelligence affects deep conceptual learning in higher education.
 
To support this exploration, the project has established a formal channel of dialogue with the University’s academic leadership. This follow-up reflects institutional interest in understanding the challenges, risks, and possibilities of integrating AI into university teaching — while fully preserving academic autonomy and the experimental nature of the initiative.
 
The presence of designated representatives reinforces the project’s commitment to transparency, critical reflection, and responsible innovation, without transforming the experiment into a predefined model or policy.
 
 
Follow-up Committee — Composition
Office of the Pro-Rector for Undergraduate Education (PRG)
Prof. Mônica Alonso Cotta, Pro-Rector for Undergraduate Education,
appointed Prof. Sílvio Roberto Consonni, Coordinator of EA2, as an institutional representative for accompanying the experiment.
Executive Directorate for Information and Communication Technology (DETIC)
Prof. Ricardo Dahab, Executive Director for ICT, appointed Prof. Leonardo Tomazelli Duarte,  coordinator of Centro de Referência em Tecnologias de IA (Crefia).
Institute of Physics “Gleb Wataghin” (IFGW)
Prof. Marcos César de Oliveira, Director of IFGW,
appointed Prof. Sandro Guedes de Oliveira, Undergraduate Program Coordinator, as the unit’s representative.
 
 
Purpose and Nature of the Follow-up
 
The Follow-up Committee establishes a bidirectional channel between classroom experimentation and university-level reflection. Its purpose is to:
• accompany the pedagogical methodology critically, while preserving students’ autonomous reasoning;
• identify connections between the project’s findings and broader academic, pedagogical, and technological discussions at Unicamp;
• translate experimental insights into qualified inputs for institutional reflection on higher education in AI-mediated contexts.
 
 
Institutional Note
 
Participation in this follow-up does not imply endorsement of specific methods or results, nor does it carry any deliberative or evaluative authority.
It reflects solely the University’s interest in observing, understanding, and critically engaging with innovative teaching initiatives.