A website may track online activities, such as assignments and/or assessment, of students taking online digital courses (courses). Courseware-level data and student-level data may be extracted from the tracked online activities and as well as student registration data. Institutional-level data may be generated from data regarding the institutions that teach the courses. Teacher-level data may be generated for the teachers teaching the courses. A teacher or student may request on a website an analysis of a course. Data for the course may be weighted in the courseware-level data. Data for the student(s), institution and/or teacher may also be weighted, depending on the desired analysis. A Bayesian multi-level model may generate a plurality of posterior distributions using the collected data. A prediction of a difficult subject matter may be determined from the plurality of posterior distributions and used to select a targeted remediation that may be performed on a website.