1. Interpretación mediante PRISMA 2020 de la Inteligencia Artificial para evaluación y retroalimentación en el aula.
- Author
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Ricardo Sebastián, Abril Ruiz and Estefanía Alexandra, Abril Ruiz
- Subjects
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ARTIFICIAL intelligence , *CREATIVE thinking , *SCHOOL environment , *EDUCATIONAL outcomes , *INDIVIDUAL needs - Abstract
Artificial Intelligence has evolved in the educational field as a key tool for personalizing assessment and providing real-time feedback, allowing for more precise adaptation to individual student needs and thereby improving learning outcomes in the classroom. The aim of this study was to interpret, using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses 2020 methodology, the role of Artificial Intelligence in data-driven real-time assessment and feedback in the classroom. The PRISMA 2020 methodology was employed to conduct a systematic literature review on this topic, selecting and analyzing scientific articles published between 2020 and 2024 that address the implementation and effectiveness of these technologies in the classroom. The included studies were critically evaluated using the Critical Appraisal Skills Programme tool to ensure the quality and relevance of the findings. This study has demonstrated that the implementation of Artificial Intelligence in data-driven real-time assessment and feedback can transform education by enhancing the precision and personalization of evaluations, promoting critical and creative thinking in students. It was found that Artificial Intelligence facilitates more adaptive learning, particularly in vocational contexts. However, challenges in its implementation were highlighted, emphasizing the need for more rigorous studies that ensure the equity and effectiveness of these technologies in educational environments. Future research should focus on overcoming these limitations and ensuring ethical integration. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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