Friday January 24, 2020

Algorithm can predict students’ drop-out rate

Computer game use and social media activity are driving factors

22nd November, 2015
Keith Quille, research team leader at Maynooth University

Time spent playing computer games, maths results in the Leaving Certificate and social media habits can indicate how likely you are to drop out of a computer science degree, according to a new study.

Researchers at Maynooth University have developed a data mining algorithm that can predict if a student will drop out when they begin their studies.

The early warning system is being developed for universities, community colleges and institutes of technology.

Subscribe from just €1 for the first month!

Exclusive offers:

All Digital Access + eReader

Trial

€1

Unlimited Access for 1 Month

Then €19.99 a month after the offer period.

Get basic
*New subscribers only
You can cancel any time.

Annual

€200

€149 For the 1st Year

Unlimited Access for 1 Year

You can cancel any time.

Quarterly

€55

€42

90 Day Pass

You can cancel any time.

Team Pass

Get a Business Account for you and your team

Share this post

Related Stories

Breast screening is fallible, and with potential extra costs due to legal actions, questions about the viability of the programme are invevitable

John Crown | 5 days ago

Inquest report calls for 24-hour consultant cover after delay in treatment led to death of Wexford patient

Susan Mitchell | 1 week ago

HSE plans to implement HPV screening test ‘during Q1 this year’

Susan Mitchell | 1 week ago