Abstract:

As institutions seek to future-proof their curricula, there remains a critical need for structured approaches to assess how well academic courses integrate competencies aligned with evolving workforce and societal demands. This poster presents a diagnostic method for analyzing course syllabi through the lens of the Future Competency Framework, a comprehensive model encompassing cognitive, emotional, social, behavioral, technological, and global knowledge domains.

Applied to over 200 undergraduate courses within the core curriculum of a liberal arts institution, the approach combines content analysis, text mining, manual annotation, and open coding to surface both explicit and implicit references to future-relevant competencies. The poster outlines the full methodological process, detailing how course documents are prepared, coded, and mapped against the framework.

In addition to visualizing competency distribution across domains, the poster highlights emerging patterns in curricular emphasis and underrepresentation. It also introduces the foundation for a practical diagnostic tool designed to support educators and academic departments in evaluating course-level and program-level alignment with future readiness goals.

This poster aims to demonstrate the utility of a structured competency mapping process for advancing data-informed curriculum design and invites discussion on how similar methodologies can be scaled across institutional contexts.

Keywords:

Future readiness, curriculum mapping, competency framework, syllabus analysis, content analysis, text mining, competency integration, diagnostic tool, future skills, core curriculum, liberal arts education, educational assessment, workforce alignment.