A framework and case studies for data-driven computer-based diagnostics of competencies and capabilities across contexts

Abstract

In the 21st century, the evolving demands of the workforce and society have highlighted an urgent need for innovative approaches to skill assessment. Traditional methods often fail to capture the complexity and diversity of modern competencies, necessitating the development of new frameworks that can adapt to diverse contexts and data sources. This chapter introduces a comprehensive, data-driven framework designed to assess skills across various digital environments. The framework is designed to be flexible and scalable, capable of integrating a wide range of data types and analytical techniques to provide a nuanced evaluation of competencies. The effectiveness of this framework was exemplified through case studies in distinct settings, each selected for their unique characteristics. This demonstrated the framework’s adaptability and robustness in evaluating and improving a broad spectrum of competencies. By providing a comprehensive method for assessing 21st-century skills, this chapter highlights the critical role of innovative, data-driven frameworks in accurately evaluating and enhancing the competencies essential for success in today’s rapidly changing world.