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An analysis for distance learning student retention management
An analysis for distance learning student retention management.
Order 100% plagiarism free essay on An analysis for distance learning student retention management
This research paper is for an agent based information systems course.
The purpose behind this paper is to find a problem I would like to work
on, write some background and literature review, and a plan about what
can I do about it.
The problem I’m interested in is student attrition, specifically in
distance learning universities. There have been some good papers that
investigated student retention in normal universities. Therefore; I
would like my paper to investigate student retention but for distance
learning universities.
An analysis for distance learning student retention management.
Order 100% plagiarism free essay on An analysis for distance learning student retention management
The idea of the paper is: An analysis for distance learning student
retention management
Possible data: https://analyse.kmi.open.ac.uk/open_dataset
The paper should consist of:
1. Introduction: General description of the topic together with a
description of the important sub-areas within this field.
2. Literature Survey.
3. Research Proposal: General description of the specific problem you
wish to pursue in your research proposal and the methodology you plan to
use. This part is very important. My plan is to use machine learning
techniques like decision trees and clustering to predict students who
might leave a distance learning school. Do not perform the analysis,
just propose it technically.
4. References
An analysis for distance learning student retention management.
Order 100% plagiarism free essay on An analysis for distance learning student retention management
I want you to use the attached paper as one of the references. I got my
paper idea after reading it:
Dursun Delen, A comparative analysis of machine learning techniques for
student retention management, Decision Support Systems, Volume 49, Issue
4, 2010, Pages 498-506, ISSN 0167-9236.
