Anastasia Kitsantas

Explainable Optimized Machine Learning for Predicting Student Self-Regulated Learning

This study examined the utility of an optimized, explainable machine learning (ML) model for predicting students’ self-regulated learning (SRL). Participants were 823 middle school students (52.6% girls) from randomly selected public schools who completed in-person measures of re...

Ready to shift: Supporting goal transitions through self-assessment and calibration in middle school mathematics

Setting goals involves establishing standards that guide learners’ actions. A key aspect of effective goal setting is students’ ability to accurately assess their progress on the skills and steps, so they can shift attention toward learning outcomes. Middle school mathematics edu...