AUTOMATED ASSESSMENT AND INTELLIGENT FEEDBACK IN THE TEACHING-LEARNING PROCESS
DOI:
https://doi.org/10.63330/aurumpub.011-039Keywords:
Artificial Intelligence, Educational Assessment, Intelligent FeedbackAbstract
The integration of Artificial Intelligence (AI) into educational assessment processes has reshaped practices, methodologies, and possibilities for monitoring learning. This qualitative study conducted an integrative literature review across national and international databases, covering publications from 2018 to 2025. The objective was to analyze the potential and challenges of automated assessment and intelligent feedback within the school context, considering ethical, pedagogical, and technological aspects. Findings indicate that such resources can enhance teaching personalization, reduce learning gaps, and optimize pedagogical decision-making. However, limitations related to algorithmic bias, data protection, and technological dependency were identified. It is concluded that the conscious adoption of AI requires critical teacher mediation and institutional policies that ensure equity, transparency, and integrity in the educational use of these tools.
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Copyright (c) 2025 Ronieris Bernadino dos Reis Silva, Aldenir Raimundo dos Santos, Francisco Renato Silva Ferreira, Sâmia de Alencar Sousa, Antonio Willame da Silva Alves, Rute Francisco de Oliveira Silva, Maria Arnalda Lima Belo Silva, José Wegino dos Santos Saturnino (Autor)
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
