One of the most significant advantages of educational data analytics is the potential to offer personalized learning. Every student learns in a different way, at a different rate, and with his/her own problems. The traditional method of learning ignores these differences, and thus some students fall behind or lose interest.
Data analytics assists educators in making customized learning plans for students. Based on patterns of student interaction with learning material, teachers can identify where they are lacking and make adjustments to the curriculum to suit those requirements. This ensures every student receives support when needed, to enhance performance and interest in general.
For example, if one student continues to do poorly on a particular area of study, statistics can identify the trend early on so that the teacher can intervene and provide additional resources, tutoring, or one-on-one training to support the student.