Predicting the use of learning objects: supporting high school education
This research analyzes the effectiveness of a predictive model based on the Random Forest algorithm to suggest personalized learning objects for high school students, through the analysis of academic and behavioral variables such as frequency and time of use of digital resources, motivation, and the perceived impact on...