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Tech & AI 3.3

New Framework Helps Companies Measure What Trainees Actually Learn in Simulations

Researchers have developed 12 practical guidelines for evaluating whether simulation-based training actually works. The framework addresses a persistent corporate challenge: most companies lack reliable ways to measure learning outcomes when employees train on virtual scenarios, leaving billions in training spending unaccounted for.

Originaltitel: 12 Heuristics for Learning Analytics in Simulation-Based Professional Learning

Abstrakt

<p>This study aims to develop a set of heuristics tailored for evaluating learning analytics in simulation-based professional learning, focusing on the following research questions: (1) What heuristics are appropriate for evaluating learning analytics in simulation-based professional learning contexts? (2) How can theoretical frameworks and empirical findings be combined in the development of such heuristics? (3) How can expert evaluation inform their refinement and applicability? The study combines a top-down approach, drawing on a theoretical framework for learning experience design, with a bottom-up analysis of empirical findings from prior studies in the context of a design project. An initial set of heuristics was iteratively reviewed and refined in collaboration with experts in user and learning experience design. The outcome is a detailed heuristic framework that supports the evaluation of learning analytics in simulation-based settings and accounts for the technological, pedagogical, and social dimensions of professional learning.</p>

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