XXIII. EVALUACIÓN DE LOS APRENDIZAJES CON INTELIGENCIA ARTIFICIAL

Abstract

In the present work, results obtained from the system software are compared.
expert published by Sánchez et al. (2021) against the results produced by the System
Intelligent Evaluation Expert (SEEI). The latter is the update of the former, so
This document outlines the similarities and differences between the predecessor software
and the successor.
Both softwares use Artificial Intelligence (AI) to calculate on a scale of
zero to ten, the qualification resulting from a process of evaluation of the learning of
high school students in the Mexican context.
The objective of this research is to find validity in the SEEI instrument, since it
it evolved from its predecessor with intentions that it can be used by any
teacher, to evaluate any competence, in any subject, in any
educational institution located anywhere in the world just by having access to the internet.
The results give firm evidence that the line of research is on the right track.
and that it is worth continuing testing and adjusting SEEI and finding in the future,
validity in more contexts.
In this way, the computing power of the AI on the models would be reaffirmed.
rubric-based mathematics with which currently based learning is assessed
in competition and a new and promising era would emerge in which teachers will finally have
state-of-the-art assessment tools.