ARTIFICIAL INTELLIGENCE USED TO IMPROVE COGNITIVE NEUROSCIENCE

The main problems in teaching and learning activities are the advancement of technology in the digital age
and teachers' difficulties in utilizing digital platforms; additionally, teachers' neuroscience cognitive
abilities are required to continue to develop and improve creativity, imagination, and innovation in
enlivening the learning environment in the classroom. The aim of this study is to improve the cognitive
neuroscience of teachers who are familiar with ICT through artificial intelligence. This study employed
classroom action research, in which 30 correspondences in Sumenep Regency were given a pretest and
post-test, as well as N-Gain scores, to determine how far the use of artificial intelligence and cognitive
neuroscience had progressed. According to the study's findings, the educator's understanding of the
algorithm improves by 20%. There is also a 10% increase in teacher understanding of machine learning.
According to the N-Gain test results, there has been a significant improvement in aspects of artificial
intelligence and cognitive neuroscience. As a result, artificial intelligence can assist teachers in better
understanding technology and improving cognitive neuroscience in the development of ICT, particularly
digital ones