Lesson 5 Big Data
Big Data in Education
Over the next decade, Big Data will be replacing traditional academic guidance methods.
In fact, in some universities, data analysis has already been used to predict the probable success or failure of certain students.
Data analysts have scanned through hundreds of thousands of personal and academic student records in order to predict when intervention may be needed.
Certain behaviors seem to be informative, such as how often students see advisers and tutors or if they take a course out of sequence.
Some universities have found that students’ performance in “predictor” courses is often a good indicator of whether they will graduate or not.
Based upon this Big Data analysis, many universities maintain a list of courses that might signal a need for intervention.
If a student leaves the path of previous successful students, advisers can be alerted so they can reach out and offer guidance.
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