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Team Name:

Star Quad


Team Members:


Evidence of Work

Future Forge

Project Info

Star Quad thumbnail

Team Name


Star Quad


Team Members


Lawrence , Karen , CL , Ricky Tsang

Project Description


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 indicate continuing with non-school education increases the likelihood of stable, satisfying employment with a higher income.

Our team also analysed the data to reveal the data-supported factors influencing young people's decisions as they complete secondary schooling, about their intentions to enter non-school education.


#transitions #education #gamification #choices #careers

Data Story


INTRO - Imagine you are in Year 10, facing choices about what subjects to choose and looking ahead to a bright future, ‘exciting’ yet there are so many unknowns!

We have devised an online game, informed by the data to help young people understand the impact of these factors to help them to make informed choices about their further education and training.

THE GAME - it starts with the player being randomly given 3 'BACKGROUND' factors with point values that contribute to their 'Employment Opportunity Score.' Each year for 10 years, they make 1 'CHOICE' and receive 1 'LUCK' card, which either adds or deducts points, updating their score. Watch our prototype demo to find out more.

“Career is a journey, not a destination”. We wanted to convey the message to young people that we can take certain actions, such as engaging in further education and training, to improve our opportunities of getting a job and getting paid a higher salary.

We believe in supporting young people to make informed choices and value their input into what and how we can help them. So there are two additional features we would recommend at the end of the game.

Firstly, the government has developed an excellent resource called the ‘SLIK’ (include screenshot) https://www.yourcareer.gov.au/school-leavers-support/school-leavers-information-kit that we can point the player to. Other resources can also be listed to help young people get in touch with career counselling services if their schools do not provide them or if they have already left school.

Secondly, we value the opinions of our younger generations. To do that, we propose including a survey at the end of the game to collect data for analysis. The best design of what questions to ask will require collaboration with other professionals such as school teachers, educational psychologists and career practitioners.

The goal is to gather information to provide insights into what are the CURRENT FACTORS that impact the decisions of young people to commence and complete post-school studies. With the rapid advancement of technology and changes in our society, we need the most up-to-date, in fact, ‘REAL TIME’ data if possible. AI is here to help us achieve this!

Photos used in video from pixabay.com and Canva


Evidence of Work

Video

Homepage

Team DataSets

Longitudinal Surveys of Australian Youth

Description of Use Data from a representative sample of secondary education students, nationally stratified by state and sector of schooling, was first surveyed in 1998 when they were 14 years old. The students completed a numeracy and literacy test, as well as a survey with questions about their families, experiences, attitudes to school and expectations, and how these factors informed their future study and career decisions. They were then surveyed each year until 2008.

Data Set

Educational attainment in Australia: A cohort analysis

Description of Use Data on changes in factors contributing to educational decisions comparing cohorts from 1961 and 1970

Data Set

Returns from education: an occupational status approach

Description of Use Data relation to the social returns from continued post-school education

Data Set

Education of First Nations people

Description of Use Data relating to participation of First Nations people in tertiary education

Data Set

Education Statistics for Aboriginal and Torres Strait Islander Peoples

Description of Use data relating to contributing factors influencing decision to continue to non-school education.

Data Set

Education and Work, Australia, May 2023

Description of Use Relationships between education participation and likely income and likelihood of being in full-time employment

Data Set

Challenge Entries

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

What factors impact the decisions of young people to commence and complete post school studies (Vocational Education and Training or higher education), including those that commence and complete an apprenticeship?

#Study success: Choosing the right study paths

Eligibility: Open to participants including university students and professional researchers

Go to Challenge | 17 teams have entered this challenge.