DSpace Coleção:https://arandu.iffarroupilha.edu.br/handle/itemid/5672026-04-16T06:23:52Z2026-04-16T06:23:52ZO impacto dos cursos stricto sensu na avaliação do índice geral de cursos do Instituto Federal Farroupilhahttps://arandu.iffarroupilha.edu.br/handle/itemid/6932025-09-16T12:52:52Z2025-01-01T00:00:00ZTítulo: O impacto dos cursos stricto sensu na avaliação do índice geral de cursos do Instituto Federal Farroupilha
Resumo em Língua Estrangeira: The assessment of higher education quality in Brazil is carried out through the National System for the Evaluation of Higher Education (SINAES), which integrates multiple indicators and aims to inform institutional improvement policies. Among SINAES indicators, the General Course Index (IGC) stands out as a measure that combines undergraduate and graduate performance into a single score expressing an institution's overall academic quality. In this context, Stricto Sensu graduate programs play a strategic role in scientific, technological, and social development, while also influencing institutions' overall evaluation. This study analyzes the impact of implementing Stricto Sensu graduate programs on the IGC of the Federal Institute Farroupilha (IF-Far), drawing on a theoretical review and simulations based on SINAES criteria. The research describes the main quality indicators-CPC (Preliminary Course Score), IDD (Value-Added Index), ENADE (National Student Performance Exam), and IGC-and uses INEP and CAPES data to model scenarios that assess the influence of different configurations of master's offerings. Methodologically, we processed microdata, visualized current scenarios in Power BI, and reproduced the official IGC calculations in the simulations. The simulations were conducted for IF Far, holding undergraduate values fixed while varying master's programs. Results indicate an increase in the continuous IGC, from 2.99 up to 3.087 across the simulated scenarios. Although this is a modest increment-without a change in IGC band owing to the predominance of the undergraduate component in IFFar's calculation-it is strategic to invest qualitatively in expanding graduate education (e.g., raising CAPES ratings, consolidating and scaling programs) to produce a more substantive impact on the index.
Tipo: Trabalho de Conclusão de Especialização2025-01-01T00:00:00ZUma investigação sobre a aplicação da inteligência artificial no ensino e aprendizagem na educação profissionalhttps://arandu.iffarroupilha.edu.br/handle/itemid/6922025-09-16T12:37:34Z2025-01-01T00:00:00ZTítulo: Uma investigação sobre a aplicação da inteligência artificial no ensino e aprendizagem na educação profissional
Resumo em Língua Estrangeira: This article presents a systematic literature review on the application
of Artificial Intelligence (AI) in Vocational and Technological Education (VTE).
The study aimed to identify the most frequently used tools, their pedagogical
impacts, and the main challenges faced by educational institutions. Based on
studies published between 2019 and 2025, the results show that AI has been
applied in several areas, including personalized learning, teaching planning
support, pedagogical mediation, and the development of technical and socio-
emotional skills. However, the review also highlights significant barriers, such
as lack of technological infrastructure, insufficient teacher training, absence of
specific regulations, and the potential to reinforce existing educational inequa-
lities. The findings suggest that, although AI holds great promise for improving
and innovating VTE, its effective adoption depends on structured public poli-
cies, continuous professional development, investment in digital accessibility,
and a pedagogical approach that is critical, ethical, and inclusive.
Tipo: Trabalho de Conclusão de Especialização2025-01-01T00:00:00ZGêmeos digitais na otimização de redes: um mapeamento sistemáticohttps://arandu.iffarroupilha.edu.br/handle/itemid/6912025-09-16T12:21:03Z2025-01-01T00:00:00ZTítulo: Gêmeos digitais na otimização de redes: um mapeamento sistemático
Resumo em Língua Estrangeira: Computational evolution and the demand for emergent networks generate management complexity and necessitate autonomous control. Digital Twins (DTs) emerge as a solution, replicating physical networks into synchronized virtual environments for real-time simulation, predictive analysis, and autonomous decision-making.
This systematic mapping study investigated papers on the applications and challenges of DTs in various types of communication networks between 2024 and 2025. Focusing on mobile (5G/6G), optical, MEC, IoT, and RAN networks, it examines DT-based solutions for optimization, management, control, and data collection in networks. Their efficacy surpasses traditional methods. However, technical challenges persist, such as data collection and quality, modeling, real-time performance, resource management, and overhead. Overcoming these obstacles is crucial for the significant potential of DTs in the automation and resilience of future networks.
Tipo: Trabalho de Conclusão de Especialização2025-01-01T00:00:00ZDesenvolvimento de uma plataforma de business intelligence para análise de avaliações de cursos no IFFarhttps://arandu.iffarroupilha.edu.br/handle/itemid/6292025-06-24T21:11:53Z2025-01-01T00:00:00ZTítulo: Desenvolvimento de uma plataforma de business intelligence para análise de avaliações de cursos no IFFar
Tipo: Trabalho de Conclusão de Especialização2025-01-01T00:00:00Z