OPTIMIZATION OF TEACHERS' DIGITAL COMPETENCE IN FACING ARTIFICIAL INTELLIGENCE (AI) BASED LEARNING TRANSFORMATION IN THE ERA OF SOCIETY 5.0

Abstract

Digital transformation demands the adaptation of the education system to prepare future generations who are able to compete in the era of technological disruption (Pesovski et al., 2024; Schwab & Samans, 2016; Singha & Singha, 2024). One of the digital technologies that has received great attention lately is AI. AI reflects significant progress in the world of technology, with efforts to imitate complex human cognitive processes (Patty, 2024). In the context of education, AI technology can be used to assist the learning process, such as adaptive teaching, automated assessment, virtual tutors, and learning data analysis (Popenici & Kerr, 2017). The research method used is qualitative with case study techniques. Data collection was carried out by conducting interviews with key informants (Principal, Vice Principal for Curriculum and Student Affairs and Facilities and Infrastructure , also the Director of Education). The results of the study were; digital literacy is a person who can access information effectively and efficiently, assess information critically, and use the information more. Then, the creativity of teachers in utilizing digital technology to make learning more interesting still needs to be improved. AI systems can act as virtual tutors that can help students understand difficult concepts (Khamparia & Pandey, 2017). One of the factors that provide obstacles for teachers is; limited knowledge and skills in using technology, minimal training available, and lack of infrastructure support (Nugraha, 2023) , where many teachers have not optimally utilized digital technology in the learning process (Nofianti et al., 2021). Furthermore, many teachers still have limited digital skills, so it requires intensive training to be able to integrate AI technology In learning, the application of AI technology requires adequate technological infrastructure, such as fast internet connection and device supporting hardware (Ridhawi et al., 2018), and the use of AI technology in learning also raises concerns regarding privacy student data and ethical issues in use of this technology (Huang, 2023).