Transformation of Elementary School Teacher Competencies in the Digital Age: Analysis of the Spencer Model in Coding and AI Training in Pinrang Regency

This study analyzes the effectiveness of human resource development for elementary school teachers in Pinrang Regency through training in coding and artificial intelligence (AI), using Spencer and Spencer's competency theory approach. Method: This descriptive qualitative study involved training participants as key informants selected through purposive sampling. Data were collected through interviews, observations, and documentation, then analyzed using the Miles and Huberman model. Results: Findings show that the aspects of teachers' motives, traits, and self-concept are in the optimal category. Teachers were highly enthusiastic about digital innovation. However, the knowledge and skill aspects still faced significant obstacles, mainly due to non-linear educational backgrounds and network infrastructure barriers in the dissemination process to schools. Implications: This study recommends the need for policy interventions that not only focus on technical training but also infrastructure support and continuous mentoring to ensure effective knowledge transfer