Modeling Hidden States in Learning: A Hidden Markov Model Approach to Stealth Assessment for Problem Solving in Computational Thinking
Journal of Research on Technology in Education
Learning science,
made useful.
Hi! I’m Curt.
My research sits at the intersection of learning sciences, educational data science, and interactive system design. I study how learners think and act inside digital environments, then build tools that turn those behavioral signals into better feedback, stronger evidence, and more useful systems for educators and students.
- Learning sciences
- Educational data science
- Digital game-based assessment
Current work
Project dashboard
Research, measurement, and product ideas currently moving through the pipeline.
Game-Based Assessment In Progress
Mean Alchemy
A game-based learning and assessment environment built to study self-efficacy, mastery, and behavioral evidence inside interactive play.
Measurement Validation In Analysis
LLM-Generated Self-Efficacy Scale Validation
Validation work examining whether LLM-assisted item generation can support defensible self-efficacy measurement.
Data Literacy Concept Stage
Untitled Data Literacy Game
An early-stage game concept focused on helping learners read data critically, question evidence, and make better decisions under uncertainty.
Research Workflow Prototype
Paper Scroll
An app concept for staying current with research by surfacing new papers, reducing overload, and helping decide what is worth reading next.
App Store Analysis Writing Up
iOS App Market Inventory
An inventory and descriptive analysis of iOS educational games in the App Store, with the write-up now being prepared.
Recent publications
Solo or Pair Programming for K-12 Students? Learning Outcomes and In-game Behaviors in a Game-Based Learning Environment
TechTrends
Unveiling the Measurement of Self-Efficacy in Game-Based Learning
The Journal of Applied Instructional Design
Ideas in development
LLMs, Critical Thinking, and the Wrong Question
A closer look at what studies of AI-assisted writing can—and cannot—tell us about cognition, effort, and the quality of the work people produce.
Research Reports Should Be Written with LLMs
The argument is not that models should decide what the evidence means. It is that researchers should spend less time manufacturing prose and more time improving the analysis behind it.