Forum for Science, Industry and Business

Sponsored by:     3M 
Search our Site:

 

Spotting student dropouts

27.01.2009
A new way to predict which students will dropout of a distance learning or online course has been developed by researchers in Greece. The researchers explain details in a forthcoming issue of the International Journal of Knowledge Engineering and Soft Data Paradigms.

Sotiris Kotsiantis of the Educational Software Development Laboratory at the University of Patras, Greece, explains how student dropout rates are much higher for universities providing distance education compared with conventional education.

Ensuring the dropout rate is as low as possible is a matter of economic viability for a given course and for the reputation of the university offering distance learning. However, predicting which students will dropout is not easy.

Data on students, class distributions, and dropout rates are usually rather skew, Kotsiantis says. This skewing of the statistics makes for low error rates in predicting overall class outcomes but produces unacceptable error rates when one is considering the minority of class members or individuals. He and his colleagues have carried out a systematic study of the various analytical methods that have been tried to overcome this limitation and found them all wanting.

The most obvious problem with analysing skewed data sets is that most approaches remover the "outliers" and focus on the average. But, it's the outliers at one end of the data who are the most likely to dropout.

As such, the team has devised a new statistical approach that offers a more effective solution to the problem by looking at the data at the local level where outliers become more prominent in the data set rather than being ignored by the law of averages. They tested their approach on retrospective student data from the Hellenic Open University and were able to effectively spot the student dropouts.

The method could allow universities offering distance learning the chance to predict which students are most likely to dropout of a course and so allow them to provide appropriate counselling, advice, and support to guide such students to a more informed decision regarding their educational future.

"It is of great importance for tutors to have recognised dropout-prone students before the middle of the period in order to be able to offer additional support to those students at risk," Kotsiantis says. The new predictive approach therefore focuses on collecting data about student successes and failures before this point in their course is reached. This data is combined with known socioeconomic factors, gender, age, previous education, marital status, and occupation if applicable.

Albert Ang | alfa
Further information:
http://www.inderscience.com

More articles from Science Education:

nachricht The Maturation Pattern of the Hippocampus Drives Human Memory Deve
23.07.2018 | Max-Planck-Institut für Bildungsforschung

nachricht Cebit 2018: Saarbrücken Start-up combines Tinkering and Programming for Elementary School Kids
05.06.2018 | Universität des Saarlandes

All articles from Science Education >>>

The most recent press releases about innovation >>>

Die letzten 5 Focus-News des innovations-reports im Überblick:

Im Focus: Color effects from transparent 3D-printed nanostructures

New design tool automatically creates nanostructure 3D-print templates for user-given colors
Scientists present work at prestigious SIGGRAPH conference

Most of the objects we see are colored by pigments, but using pigments has disadvantages: such colors can fade, industrial pigments are often toxic, and...

Im Focus: Unraveling the nature of 'whistlers' from space in the lab

A new study sheds light on how ultralow frequency radio waves and plasmas interact

Scientists at the University of California, Los Angeles present new research on a curious cosmic phenomenon known as "whistlers" -- very low frequency packets...

Im Focus: New interactive machine learning tool makes car designs more aerodynamic

Scientists develop first tool to use machine learning methods to compute flow around interactively designable 3D objects. Tool will be presented at this year’s prestigious SIGGRAPH conference.

When engineers or designers want to test the aerodynamic properties of the newly designed shape of a car, airplane, or other object, they would normally model...

Im Focus: Robots as 'pump attendants': TU Graz develops robot-controlled rapid charging system for e-vehicles

Researchers from TU Graz and their industry partners have unveiled a world first: the prototype of a robot-controlled, high-speed combined charging system (CCS) for electric vehicles that enables series charging of cars in various parking positions.

Global demand for electric vehicles is forecast to rise sharply: by 2025, the number of new vehicle registrations is expected to reach 25 million per year....

Im Focus: The “TRiC” to folding actin

Proteins must be folded correctly to fulfill their molecular functions in cells. Molecular assistants called chaperones help proteins exploit their inbuilt folding potential and reach the correct three-dimensional structure. Researchers at the Max Planck Institute of Biochemistry (MPIB) have demonstrated that actin, the most abundant protein in higher developed cells, does not have the inbuilt potential to fold and instead requires special assistance to fold into its active state. The chaperone TRiC uses a previously undescribed mechanism to perform actin folding. The study was recently published in the journal Cell.

Actin is the most abundant protein in highly developed cells and has diverse functions in processes like cell stabilization, cell division and muscle...

All Focus news of the innovation-report >>>

Anzeige

Anzeige

VideoLinks
Industry & Economy
Event News

LaserForum 2018 deals with 3D production of components

17.08.2018 | Event News

Within reach of the Universe

08.08.2018 | Event News

A journey through the history of microscopy – new exhibition opens at the MDC

27.07.2018 | Event News

 
Latest News

Smallest transistor worldwide switches current with a single atom in solid electrolyte

17.08.2018 | Physics and Astronomy

Robots as Tools and Partners in Rehabilitation

17.08.2018 | Information Technology

Climate Impact Research in Hannover: Small Plants against Large Waves

17.08.2018 | Life Sciences

VideoLinks
Science & Research
Overview of more VideoLinks >>>