Digital learning has become the norm in education, but evaluating its effectiveness remains a challenge. In K-12 settings, the results of a tutoring system or educational game often come long after students have engaged with the tool. Infrequent assessments, such as statewide exams at the end of a school year, make it difficult to identify students who may excel or fail, and slow for researchers to measure the impact of educational software.
Data from intelligent tutors helps predict K-12 academic outcomes, study finds
