A new article, “Validating game-based learning assessment of students’ computational thinking practices using Bayesian networks and machine-learning based detectors,” by Elizabeth Rowe, Russell G. Almond, and Ma Victoria Almeda has been published in the Journal of Research on Technology in Education. The study uses data from 716 students to examine how TERC’s digital game Zoombinis can support assessment of computational thinking practices—problem decomposition, pattern recognition, abstraction, and algorithm design. Download the article here.
