Abstract

In today’s multilingual, culturally diverse workplace marked by transnational mobility, assessments must provide every individual a fair opportunity to demonstrate their knowledge, skills, and abilities. Advances in technology and AI now enable innovative, workplace-relevant tasks that capture applied competencies more effectively.

This presentation explores how Evidence-Centered Design (ECD) offers practical solutions for developing inclusive workplace assessments that respect culturally and linguistically diverse (CLD) populations’ ways of learning, working, and being. Drawing on the sociocognitive foundations in the forthcoming Modeling What Matters volume(s) (Tucker & Oliveri, Eds.), honoring Robert J. Mislevy’s work, we illustrate how ECD transforms varied language proficiencies, cultural interaction styles, and experiential backgrounds from potential barriers into design strengths while authentically measuring key workplace competencies such as collaboration and problem-solving skills.

Participants will explore ECD-compatible strategies across assessment design layers, including culturally responsive scenario-based tasks with multilingual supports, flexible response formats, and integrated evidentiary models that recognize multiple ways to demonstrate competence. Real-world examples from collaborative problem-solving assessments (Oliveri et al., 2019) and recent workplace applications (Oliveri & Poe, 2025) highlight improvements in more inclusive workplace assessment designs.

This session supports the Inclusive Assessment SIG’s mission by providing researchers, practitioners, and assessment developers actionable insights, practical takeaways, and forward-looking research directions for building equitable assessments for the global workforce.

Authors