Christian Sebastian Loh

Dr. Christian Sebastian Loh is a Professor in the School of Education specializing in Instructional Technology, with a research focus on evidence-based learning and performance in digital training environments. A renowned scholar in Serious Games Analytics, he uses in-game behavioral data to model skill acquisition and decision-making over time, drawing on expertise development frameworks (e.g., Dreyfus) and advancing analytic approaches such as the Expert Similarity Index to quantify how learners’ performance patterns converge toward expert-like routes. His interests also include generative AI and “vibe engineering,” and multimodal data representation -- especially data visualization and data sonification -- to make learning analytics more interpretable. In his graduate teaching, he emphasizes rigorous instructional design processes, measurable outcomes, and practical AI-supported problem solving. He is lead editor of two Springer volumes: Serious Games Analytics (2015) and Serious Games Analytics in the Age of AI (in development; expected 2027).