Austin Peay State, a university near Nashville, Tennessee, Is applying a data-mining approach to higher education. Before students register for classes, a robot looks at their profiles and transcripts and recommends courses in which they are likely to be successtul or have higher chances of success. The soltware takes an approach similar to the ones Netflix, eHarmony, and Amazon use to make their recommendations. It compares a student's transcripts with those of past students who had similar grades and SAT scores. When a student logs in, the program. The goal is to steer students toward courses in which they will make better grades. According to Tristan Denley, a former programmer turned math prolessor turned provost, students who follow the recommendations do substantially better, In the fall of 2011,45 percent of the classes that students were taking had been on their top 10 recommendations list. This data-mining concept is catching on. Three other Tennessee colleges now use Denley's software. Institutions outside the state are developing their own versions of the idea. Answer the following questions in a Microsofte Word document and save the file on your computer with your last name in the file. (Example: module_03_case1_Jones.doc) 1. Which other companies are using approaches similar to the one used by Austin Peay State? 2. Based on which data does the system make a course recommendation to a student? 3. What are the benefits and drawbacks of this approach to course recommendations? 4. Are there any data that should or should not be included in data mining for this purpose? Why or why not