ARTIFICIAL INTELLIGENCE USED TO IMPROVE COGNITIVE NEUROSCIENCE

Sufiynato, Mohammad Imam and Benyamin, Pintakhari and Dini, Deswarni and Nuril, Huda and Dewi, Handayani (2022) ARTIFICIAL INTELLIGENCE USED TO IMPROVE COGNITIVE NEUROSCIENCE. In: Dewantara International Conference on Multidisciplinary (D-ICoM), 3 December 2022, Yogyakarta.

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Abstract

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

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