Institutions of higher learning can use various types of data to learn more about their students and courses, including:
1. Demographic data: This includes information such as age, gender, ethnicity, and socioeconomic status, which can help institutions understand the diversity of their student population and identify any disparities in access and achievement.
2. Enrollment data: This includes information on the number of students enrolled in each course, program, or department, as well as the distribution of students across different levels (e.g. freshmen, sophomores, juniors, seniors).
3. Academic performance data: This includes information on students' grades, test scores, and other measures of academic achievement, which can help institutions identify areas of strength and weakness in their curriculum and teaching methods.
4. Attendance and participation data: This includes information on students' attendance and participation in class, as well as their engagement with online learning materials, which can help institutions identify students who may be struggling and provide targeted support.
5. Survey data: This includes feedback from students on their experiences with courses, instructors, and the institution as a whole, which can help institutions identify areas for improvement and make changes to better meet students' needs.
6. Financial data: This includes information on students' financial aid, tuition payments,