Entries to Factors that influence education, skills and training choices of young people

Catalogue | Table
You-ducation AI

In today's rapidly evolving job market, young Australians face increasing challenges in making informed decisions about their post-school education, training, and career pathways. These decisions may be influenced by various factors, including socioeconomic background, geographic location, access...

Go to Project | Data Dreamers

Find Factor

Welcome to the Find Factor Project, an innovative initiative born from GovHack 2024. Our mission is to leverage open government data to transform how we understand and support youth career development.

Go to Project | Team Riser

GenNow

<h1>GenNow</h1> <p>GenNow is an application designed to aid policymakers in developing strategies to enhance youth engagement in post-secondary education. This project concentrated on identifying some risk factors that hinder youth participation in post-school studies. For a detailed c...

Go to Project | Always Aus

EduPath

1. Young Australians face multiple challenges in choosing post-school education and vocational training options. Decisions are influenced by factors such as: - Prior educational attainment. - Employment history. - Financial situation. - Health conditions. - Geographic location. - Family ...

Go to Project | E-Falcons

Pathways to Progress: Supporting Education in Vulnerable Regions

To quantify heterogeneity of post-school education seekers across Australian local government areas, allowing for the development of more efficient and targeted strategies that address multiple regions simultaneously.

Go to Project | DataFrontiers

Future Forge

According to the Australian Bureau of Statistics’ Survey of Education and Work, of the 15-20 year-olds who finished school in 2022, 53% were engaged in post-school study in 2023 (including higher education and TAFE courses), while 46% were not. There is evidence from the provided datasets that...

Go to Project | Star Quad

Local Connect 📍

Target Groups: 1. Cultural and Linguistic Diversity (CALD) Communities: Migrants or non-native speakers may face language barriers in understanding their tax obligations and entitlements. 2. People with Special Needs (Disability, Unemployed, Special Health Conditions, Single Parents, Homeless,....

Go to Project | Local Connect 📍

My Coach

<span style="color:Green"> **Topic: Factors that influence education, skills and training choices of young people**</span> **<ins>Problem Identification</ins>** In Australia, while access to education is broadly available, significant disparities persist in the pursuit of higher education b...

Go to Project | Sparks

Clustering NSW Senior Highschools by Socio-economics Factors

## Team Members and Team Captain - **Team Member**: Thang Phung - **Team Captain**: Xuan Cuong Nguyen --- ## Project Description This project aims to uncover patterns of educational inequity among schools by analyzing socio-economic and demographic data. Using key indicators such as **IC...

Go to Project | LNTP

Career Navigator

To create a comprehensive solution that integrates government data from various sources (like Labor Market Trends, job market demand, future industry projections, and salary insights), we need a well-structured mission, vision, and a solid database design.

Go to Project | Team 2700

BUDGETEERS 💰

1. Identifying Vulnerable or At-Risk Groups Data Utilization: Leverage open government data sources such as the Australian Bureau of Statistics (ABS), Australian Taxation Office (ATO) reports, and the Department of Social Services (DSS) data to identify demographic, economic, and regional patter...

Go to Project | BUDGETEERS 💰

Predicting Pathways: Factors Influencing Young Australians Education and Employment

# Education and Employment Outcomes in Australia ## Project Overview This project explores the **factors that influence education, skills, and training choices** of young people in Australia, specifically focusing on the impact of **geography**, **funding sources**, and **education levels**...

Go to Project | Data Cupcakes

Project 101

In this project, we aim to build a model that uses AI and government data to predict young people's likely choices when making education and training decisions. Our goal is to provide insights into potential employment and financial outcomes.

Go to Project | Matcha latte

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