This emerging educational method adapts educational material to each student’s needs, which we might determine using any number of data streams—including cognitive measures, noncognitive assessments, immersive simulations, or other experiences. We’ve already started to leverage the remedial resources offered by OpenEd into our proprietary CDMLAS technology (using the OpenEd API), and adaptive learning is part of a strategic effort towards enabling personalized experiences with ACT products and services.

The ACTNext team is currently fitting cognitive diagnostic models to several ACT test forms, and we have outlined the specifications for the data from test preparation apps. We’re actively researching other types of data and developing prototypes for providing personalized feedback and recommendations to learners.