Analytics and the Future of Student Support

Your initial thread has to be at least 300 words. You must then post 2 replies of at least 150 words. For each thread, you must support your assertions with at least 2 scholarly citations in current APA format.

Topic: Analytics and the Future of Student Support

With the growing aggregation of student data, predictive analytics and “at-risk” analysis are slowly beginning to supplant more traditional identification methods as the primary focus of institutions aiming to prevent student attrition. Despite the advantages offered through advanced data analysis, the profession has been hesitant to fully adopt the practice in crafting strategy and allocating resources. Using the text and at least one peer-reviewed article, post an original thread in support of, or in opposition to, the use of predictive analytics and at-risk scoring as a primary consideration in crafting a student support strategy. Please begin the subject of your post with either SUPPORT or OPPOSITION.