Formative assessment with artificial intelligence in educational contexts

Abstract

This study examines the use of artificial intelligence tools in formative assessment across various educational levels and subject areas, outlines the criteria for literature search and selection, and describes the types of prompts and automated systems employed. Review methodologies are applied to compile and analyze a set of thirty-four studies, which reveal benefits such as immediate feedback and increased student motivation, as well as limitations linked to data privacy and teacher supervision. The application of language models shows favorable outcomes in generating and evaluating open-ended responses. It is concluded that the responsible implementation of artificial intelligence in formative assessment enhances the quality of the educational process. This work is the result of the research project entitled “Perfeccionamiento de las prácticas pedagógicas en las instituciones educativas de la zona sur de Manabí” and also contributed as a part of the results of the linkage project entitled “Tareas dirigidas y apoyo Psicopedagógico para fortalecer el aprendizaje de los alumnos en la Educación básica Pública de Jipijapa Fase II 2024”.