
About
Johan Falkenjack is a Lecturer at the Department of Computer and Information Science (IDA) at Linköping University, specializing in Human-Centered Systems (HCS). His research focuses on text complexity analysis, readability assessment, and educational technology, particularly using Bayesian Probit models and machine learning techniques for Swedish language texts. He concurrently pursues doctoral studies (Doktorand).
Key research areas include developing tools like T-MASTER for automated reading ability assessment, cross-source text classification, and multivariate analysis of readability features. His work spans from foundational studies in 2012 to recent advancements in 2025, emphasizing practical applications in education and accessibility.
No scientific awards are explicitly listed. His research outputs align closely with IDA’s focus on human-centered computational systems, with publications addressing both theoretical models and applied tools for text analysis.
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