The application process
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There will be sessions where potential students can ask lecturers or current atendees about the course they are interested in, and make wider enquiries about what the university and the town have to offer
to think too hard about that number - it’s important to get your answers down to the questions first and then you can refine them. “These changes are intended to help students express themselves more clearly and ensure that they understand what information is required,” says Peter Panayotou, senior consultant at professional CV service The Write Stuff. He offers the following advice for filling in the new-style personal statement: Familiarise yourself with the specific questions UCAS requires for the new-style application. Understand what each question aims to uncover about you as a candidate
Reflect on your past experiences,
achievements and skills that align with these key areas
Write multiple drafts of your responses to each question. Focus on being clear, concise and relevant – don’t try to impress with over-flowery language
Share your drafts with teachers, mentors, or peers to get feedback and suggestions for improvement.
To AI or not to AI Today, with a range of artificial intelligence tools at everyone’s disposal (hello ChatGPT), it can be tempting to think about using these to help you complete the questions. Overall, it’s not a function to rely on during this process. Turning to – and
wholesale trusting the results of – AI when filling applications is, according to AI consultant Richard Batt, like walking an extremely risky tightrope: “It’s a fine line between assistance and misrepresentation... The primary pitfall lies in mistaking AI’s data processing capabilities for genuine understanding. These models, at their core, are predicting the most probable next word, which can lead to confidently stated inaccuracies.” So, rigorous fact-checking by a human eye is non-negotiable – AI can mix up or fabricate information, potentially jeopardising an application’s integrity. Always use your own knowledge and judgement, or that of someone you trust (who is not also ... a machine!)
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