According to Micaela Amade, technological acceleration cannot happen without an institutional culture that promotes critical digital literacy, especially among teachers and students.
The use of artificial intelligence (AI) in higher education institutions has evolved significantly, directly impacting the organization of academic, administrative, and pedagogical services.
The expansion of its use was the central theme of a roundtable held at the Catholic University of Mozambique, where researcher Micaela Amade emphasized the need for a systematic approach to internal communication to ensure the reliability, transparency, and effectiveness of AI in the academic environment.
The researcher presented a critical analysis of current technological integration models in the sector, highlighting that, although AI is already present in processes such as automated enrollment, virtual service at registrars’ offices, performance evaluation, dropout rate analysis, and plagiarism detection, its use lacks an ethical framework and internal communication strategies that ensure understanding of its limitations.
According to Micaela Amade, technological acceleration cannot happen without an institutional culture that promotes critical digital literacy, especially among teachers and students. In this regard, she argues that the introduction of AI in university settings should be accompanied by user manuals, operational guides, and communication protocols adapted to each context. These tools, according to the expert, must ensure that users understand automated processes, recognize the technology’s margins of error, and know when human intervention remains necessary.
During the roundtable, practices for monitoring and supervising teachers in AI-mediated interactions were also discussed. One key point highlighted was the role of teachers in mediating educational technologies, particularly in automated assessment and virtual support. The researcher emphasized that teachers should maintain open communication channels with students, clarifying limitations, encouraging responsible use of technology, and promoting critical analysis of the results produced by algorithms.
Internal communication, in this context, was presented as a key element for the sustainability of technological solutions. According to the research, when absent or poorly structured, communication can undermine the effectiveness of AI-based tools, generate institutional distrust, and exacerbate inequalities in access to information within the academic community.
(By Rafael Langa)
