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Engineering
Computer Engineering
background As you move through your academic career, you leave an enormous swath of data: which courses you chose to register for; which ones you looked at but didn't pick; and how you did on each homework assignment, test, and project. Could this massive amount of data be analyzed to predict your grade in a course? Could the data suggest which courses you should take next? Should those predictions be public to your instructor, to you, and to financial aid officers? research topics to consider • Course Signals • Degree Compass, Austin Peay State University

background As you move through your academic career, you leave an enormous swath of data: which courses you chose to register for; which ones you looked at but didn't pick; and how you did on each homework assignment, test, and project. Could this massive amount of data be analyzed to predict your grade in a course? Could the data suggest which courses you should take next? Should those predictions be public to your instructor, to you, and to financial aid officers? research topics to consider • Course Signals • Degree Compass, Austin Peay State University

Computer Networking: A Top-Down Approach (7th Edition)
Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
Section: Chapter Questions
Problem R1RQ: What is the difference between a host and an end system? List several different types of end...
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Introduction to Computing Group Activity Can Data Predict Your Grade? background As you move through your academic career, you leave an enormous swath of data: which courses you chose to register for; which ones you looked at but didn't pick; and how you did on each homework assignment, test, and project. Could this massive amount of data be analyzed to predict your grade in a course? Could the data suggest which courses you should take next? Should those predictions be public to your instructor, to you, and to financial aid officers? research topics to consider • Course Signals • Degree Compass, Austin Peay State University process 1. Divide the class into teams. Each team will select a webbased tool that allows access to information. 2. Team members should each think of a situation where a person would benefit from the type of results data mining can bring to a campus and a situation where it might be undesirable. 3. Team members should select the most powerful and best-constructed arguments and develop a summary conclusion. 4. Team members should present their findings to the class or submit a PowerPoint presentation for review by the rest of the class, along with the summary conclusion they developed. conclusion As technology becomes ever more prevalent and integrated into our lives, we will increasingly face ethical dilemmas. Being able to understand and evaluate both sides of the argument, while responding in a personally or socially ethical manner, will be an important skill.
Transcribed Image Text:Introduction to Computing Group Activity Can Data Predict Your Grade? background As you move through your academic career, you leave an enormous swath of data: which courses you chose to register for; which ones you looked at but didn't pick; and how you did on each homework assignment, test, and project. Could this massive amount of data be analyzed to predict your grade in a course? Could the data suggest which courses you should take next? Should those predictions be public to your instructor, to you, and to financial aid officers? research topics to consider • Course Signals • Degree Compass, Austin Peay State University process 1. Divide the class into teams. Each team will select a webbased tool that allows access to information. 2. Team members should each think of a situation where a person would benefit from the type of results data mining can bring to a campus and a situation where it might be undesirable. 3. Team members should select the most powerful and best-constructed arguments and develop a summary conclusion. 4. Team members should present their findings to the class or submit a PowerPoint presentation for review by the rest of the class, along with the summary conclusion they developed. conclusion As technology becomes ever more prevalent and integrated into our lives, we will increasingly face ethical dilemmas. Being able to understand and evaluate both sides of the argument, while responding in a personally or socially ethical manner, will be an important skill.
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