Edugate

Team Name: 
The Pentagon 5

Edugate Responsive Website: https://edugate365.wordpress.com

Edugate is all about identifying the vector of skill-gaps in the market with emerging students into the workforce, to help choose suitability of courses undertaken, TAFE classes chosen in the last years of high school and degrees applied for. This is to amplify student's chances entering the workforce with qualifications that employers are requiring, helping bridge the gap and minimise the chances of unemployment.

We see this as a critical problem that data can help answer. The rate of unemployment in students completing secondary education and tertiary education can be improved with prediction analytics and data matching of qualifications achieved through smart choices of the employment opportunities that are constantly in flux.

Using advanced data analytics with user centred filtering and sorting techniques, this product allows personalised searching and identification unique to students needs. This is then displayed in an easy to use, engaging dashboard surfacing the the information the job seeker is needing, in a mobile responsive webspace. 

 

 

Video Upload: 
Team Prize Details: 
Our team of five consists of two UTS students and a UNSW student
Used Datasets: 
Dataset Name: 
Completion and attrition rates for apprentices and trainees 2014: state and territory data tables
Publishing Organisation/Agency: 
NCVER
Jurisdiction of Data: 
Australian Government
How did you use this data in your entry?: 
Using the (amazing) dataset to provide the crucial matching of field studied in tertiary education to job. We were able to drill down to get certification studied, state studied in a small range of years. Once graduates were predicted this dataset was used to predict future employment trends by location
Dataset Name: 
VOCSTATS
Publishing Organisation/Agency: 
NCVER
Jurisdiction of Data: 
Australian Government
How did you use this data in your entry?: 
Using the (amazing) dataset to provide the crucial matching of field studied in tertiary education to job. We were able to drill down to get certification studied, state studied in a small range of years. Once graduates were predicted this dataset was used to predict future employment trends by location
Dataset Name: 
Higher education attrition rates
Publishing Organisation/Agency: 
NCVER
Jurisdiction of Data: 
Australian Government
How did you use this data in your entry?: 
This data was used to provide completion rates for university courses, and for many different locations. Combined with the university offers we were able to predict future graduates, and areas where these graduates would be looking for work.
Dataset Name: 
Selected Higher Education Statistics (2009-2015) student data
Publishing Organisation/Agency: 
Department of Education and Training
Jurisdiction of Data: 
Australian Government
How did you use this data in your entry?: 
A variety of datasets regarding how many people enrolled in a university course, including how many students accepted university offers in each subject area and in each state. This was used to predict future incoming student.
Dataset Name: 
Internet Vacancy Index
Publishing Organisation/Agency: 
Department of Employment
Jurisdiction of Data: 
Australian Government
How did you use this data in your entry?: 
The last twelve months were displayed so users could observe real-time trends that may be happening in the field.
Dataset Name: 
Business Indicators
Publishing Organisation/Agency: 
Australian Bureau of Statistics
Jurisdiction of Data: 
Australian Government
How did you use this data in your entry?: 
Database used to add context to job displayed to allow user to observe the current wages of the job they are looking at.
Event Location: 
Sydney Official