The Work Before Work Model Of Learning - The Learning Shift That's Changing Employability
A few months before starting her role at National Australia Bank, Ruhani found herself staring at a dataset. The numbers were messy. The information was incomplete. The answers were unclear. And that, ironically, was exactly the point. Unlike university assignments, real-world business problems rarely arrive neatly packaged. "The data that they give us is not what we have been doing with the…
Ruhani and Riya, students at Deakin University GIFT City Campus in India, are challenging the traditional model of learning through their work-before-work approach. Unlike university assignments, real-world business problems often arrive messy and incomplete, requiring students to navigate and solve these issues before they graduate.
This hands-on experience, which includes working with messy data and understanding practical applications of tools like Python, is providing students with a more realistic preparation for the workforce. For Ruhani, a Master of Business Analytics student, the practical experience with Python was crucial. She knew the theory, but lacked hands-on experience, which she believes is the key difference between understanding a tool and being able to use it effectively.
Riya, studying Cybersecurity, noted that her students were engaged in continuous technical and practical work, with frequent deadlines and practical assessments. This type of learning extends beyond technical application, including learning how to work across cultures and perspectives. By the time of placement season, both students had accumulated not just knowledge, but context - an understanding of what work actually looks like.
This has been a valuable experience for employers, who increasingly value such practical experience. Ruhani's most striking observation, after securing an offer from National Australia Bank, was the direct line between her final trimester at GIFT City and her future role. She sees her university experience as increasingly important as industries evolve, particularly with the rise of artificial intelligence.
Riya views Cybersecurity as a field in perpetual motion, where complacency is the only real risk. The students' experience, therefore, begins with their placement, rather than ending with an offer letter - a stark contrast to traditional models where employability is built during recruitment.
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