Integración de la inteligencia artificial en procesos de evaluación formativa: implicaciones para la mejora continua del desempeño estudiantil
Year: 2025
Type: article
Study design: Systematic Review
Abstract: Formative assessment plays a crucial role in enhancing learning by providing continuous feedback that guides and strengthens students' academic performance. In this context, the integration of artificial intelligence (AI) emerges as an educational innovation with significant potential to transform evaluation processes. This study analyzes the benefits, limitations, and pedagogical implications of applying AI-based tools in Latin American educational settings, focusing particularly on their impact on immediate feedback and personalized learning. A qualitative methodology was used through a systematic literature review, collecting evidence from twelve studies conducted in countries such as Ecuador, Mexico, Peru, Colombia, and Argentina. The findings show that AI improves the efficiency of educational diagnosis, accelerates pedagogical decision-making, and fosters student autonomy. However, challenges related to technological infrastructure, teacher training, and the need for solid ethical frameworks were also identified. It is concluded that AI should be conceived as a complementary tool, integrated into a hybrid assessment model that combines automation with professional teaching judgment. Finally, recommendations are proposed for educational institutions, policymakers, and academic communities aimed at ensuring a responsible, inclusive, and context-sensitive implementation
Source: Innovarium International Journal
DOI: 10.71068/9x7yt315
Author: María de Lourdes Vázquez-Arango
Institution: Benito Juárez Autonomous University of Oaxaca
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: hybrid
OpenAlex ID: W4414921043