An Analysis of Student Representation, Representative Features and Classification Algorithms to Predict Degree Dropout
-
Altmetric Citations
Manrique, Ruben; Nunes, Bernardo Pereira; Marino, Olga; Casanova, Marco A.; Nurmikko-Fuller, Terhi
Description
Identifying and monitoring students who are likely to dropout is a vital issue for universities. Early detection allows institutions to intervene, addressing problems and retaining students. Prior research into the early detection of at-risk students has opted for the use of predictive models, but a comprehensive assessment of the suitability of different algorithms and approaches is complicated by the large number of variable features that constitute a student's educational experience....[Show more]
Collections | ANU Research Publications |
---|---|
Date published: | 2019 |
Type: | Conference paper |
URI: | http://hdl.handle.net/1885/175222 |
Source: | ACM International Conference Proceeding Series |
DOI: | 10.1145/3303772.3303800 |
Download
File | Description | Size | Format | Image |
---|---|---|---|---|
01_Manrique_An_Analysis_of_Student_2019.pdf | 947.65 kB | Adobe PDF | Request a copy |
Items in Open Research are protected by copyright, with all rights reserved, unless otherwise indicated.
Updated: 17 November 2022/ Responsible Officer: University Librarian/ Page Contact: Library Systems & Web Coordinator