Research and commentary on adaptive assessment, learning science, and the responsible use of AI in education.
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Assessment
Computer-adaptive assessment can shorten tests and sharpen precision, but it must be designed with validity in mind. We outline how item selection, calibration, and scoring interact so that adaptive instruments remain interpretable and fair for high-stakes use.
Read more →Learning Science
Spaced repetition is well supported by evidence; implementing it well in online platforms requires attention to scheduling, content structure, and learner load. This piece summarizes design choices that make spaced practice effective without overwhelming learners or instructors.
Read more →AI & Assessment
Automated scoring and feedback can scale support, but educators need to understand how systems work and when to override or supplement them. We discuss principles for transparent AI-assisted assessment and the role of human judgment in interpretation and action.
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