CASE STUDY 3+1 Data Mining Helps Students Enroll in Courses with Higher Chances of Success Austin Peay State, a uni- versity near Nashville, Tennessee, is applying a data-mining approach to higher education. Before students register for classes, a robot looks at their profiles and tran- scripts and recommends courses in which they are likely to be successful or have higher chances of success. The software takes an approach similar to the ones Netflix, eHarmony and Amazon use to make their recommendations. It com- pares a student's transcripts with those of past students who had similar grades and SAT scores. When a student logs in, the program offers 10 "Course Suggestions for You." This recommendation is based on the student's major and other information related to that student, The goal is to steer students toward courses in which they will make better grades. According to Denley, stu- dents who follow the recommendations do substantially better. In the fall of 2011, 45 percent of the classes that students were tak ing had been on their top 10 recommendations list. This data-mining con cept is catching on. Three other Tennessee colleges now use Denley's soft- ware. Institutions outside the state are developing their own versions of the idea. Answer the following questions: 1. Which other companies are using approaches similar to the one used by Austin Peay State? 2. Based on which data does the system makes a course recommendation to a student? 3. How many courses are recommended to a student for possible selection? 4. According to the case study, are any other Tennessee Schools using this approach