DEEP LEARNING (DL) AND ARTIFISIAL INTELLIGENCE CODING (AIC) at SMPN 2 MATARAM

Abstract

Artificial Intelligence Coding (AIC) and Deep Learning–oriented Learning (DL) are instructional components introduced in the Merdeka Curriculum to improve learning quality and students’ competencies. This study aims to describe the implementation of Deep Learning–oriented Learning and the readiness for implementing Artificial Intelligence Coding at SMP Negeri 2 Mataram. A qualitative research approach was employed using direct interviews with school stakeholders, followed by descriptive data analysis. The findings indicate that Artificial Intelligence Coding has not been implemented as an independent subject but remains integrated within the Informatics course. This situation is influenced by limited human resources, as coding education is relatively new and only one teacher has participated in basic training. Meanwhile, Deep Learning–oriented Learning has been implemented based on the principles of mindfulness, meaningfulness, and joyful learning through the 8-3-3-4 structure. However, its implementation has not been optimal due to large class sizes ranging from 45 to 47 students. These results suggest that the implementation of Artificial Intelligence Coding and Deep Learning–oriented Learning is still at a developmental stage and requires further strengthening to support effective learning practices.