This interactive half-day workshop brings together researchers, practitioners, and educators to explore how curriculum analytics can advance the development and evaluation of 21st-century competencies in higher education. The workshop will address opportunities and challenges in this evolving field, including building curriculum data infrastructures, developing automated analytical methods for competency modelling, and translating data-driven insights into meaningful educational practices and policy decisions. Through invited talks and collaborative discussions, participants will examine how higher education institutions are integrating 21st-century competencies into curricula, instructional practices, and program reforms. Frontier automated analytical methods will also be introduced. Collectively, the workshop aims to share methodological innovations and institutional best practices, foster interdisciplinary dialogue, and identify future directions for building responsible, transparent, and reliable curriculum analytics systems that support the cultivation of 21st-century competencies for postsecondary education in the age of AI.

The methodology innovation section focuses on emerging research that integrates learning analytics, natural language processing, and generative AI to automate and scale curriculum mapping while ensuring transparency, interpretability, and alignment with institutional goals. It encourages innovative studies that use institutional data to capture and model student competencies. Of particular interest are novel approaches applying Generative AI to curricular analytics, including automated skill mapping, assessment annotation, and the modelling or retrieval of 21st-century competencies in authentic learning contexts. This focus also invites research on integrating diverse data sources, developing open benchmark datasets, and achieving cross-framework alignment.