Management Information Systems

Management Information Systems

Management Information Systems

Management Information Systems

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 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 compares 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 Tristan Denley, a former programmer turned math professor 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 Microsoft® 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?
Course: MG370 Management Information Systems Date: 00/00/00
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Re: Case Study 1
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Case Study 3-1: Data Mining Helps Students Enroll in Courses with Higher Chances of Success (Textbook Page 81 and MindTap Module 3 Case Studies)
Instructions: You must use this template to answer the case questions from the case study available in MindTap and in your textbook. Submit your completed case study at its associated case study upload link in the Case Studies content area of this course in Blackboard. DO NOT submit your completed case study into MindTap. Only a completed case study submitted to its upload link in the Care Studies will be considered for grading. The answer boxes will expand to fit the text entered. DO NOT change the original filename of this template file.

 

 

Q1:

 

Answer:

Create a bullet list which other major companies are using approaches similar to the one used by Austin Peay State?
   

 

 

 

Q2:

 

Answer:

On which specific data the system uses to make a course recommendation to a student?
   

 

 

 

Q3

 

Answer:

Create a bullet list of three benefits and three drawbacks of this approach to making course recommendations?
   

 

 

 

Q4:

 

Answer:

List examples of any data that should or should not be included in data mining for this purpose? include reasons for why or why not?
   

 

 

File: MG370_10e_CSE01.docx The University of West Alabama Revised: June 27, 2021

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