What is Natural Language Processing and Scoring

Digital education tools have revolutionized how learning solutions can be personalized for the benefit of all learners. When advances in technology are paired with knowledge of how individuals learn most effectively, more efficacious learning solutions can be developed. In this chapter, the authors contend that not only should learning science principles drive the technologies learners engage with, but combining these principles with the algorithms that personalize a learner's experience will greatly impact learning outcomes at scale. They offer a brief discussion of automation and self-regulation in educational technology, then provide an example of a novel learning solution that pairs personalization—through automated intelligence—with learning science principles to impact outcomes. A practical discussion of how to design and develop learning solutions for maximum impact is shared, as well as best practices for conducting validity and efficacy research to measure the extent to which intelligent self-regulation features are supporting learning outcomes.