Story pitch

Generative AI is already changing how students study, research, write and prepare for assessments. For many students, AI tools can act like study assistants that explain difficult ideas, summarise readings, support brainstorming and improve writing. At the same time, these tools create real concerns around accuracy, over-reliance, academic integrity and unclear university rules. This visual story uses five interactive charts to show how quickly AI has entered student life, what students are gaining from it, and where the risks still remain. The story argues that universities should focus not only on whether students use AI, but also on whether students are being taught how to use it responsibly, critically and fairly.

Introduction

Generative AI is no longer only a future issue for universities. It is already part of how many students study and complete academic work. For students, the experience is mixed. AI can be helpful when it is used to understand a topic or improve a draft, but it can also become risky when students depend on it too much or when the rules are unclear.

This visual story is based on Editor Topic 1: AI and humanity. It focuses on the student experience of studying in the age of generative AI.

Chart 1: AI use among students has increased quickly

Source: HEPI Student Generative AI Survey 2025.
Story note: This chart shows how quickly generative AI has become part of student assessment life. The increase from 53% to 88% suggests that student behaviour is moving faster than many support systems and policies.

Chart 2: Students are using AI as a study helper

Source: University of Melbourne & KPMG, Trust, attitudes and use of AI: A global study 2025.
Story note: Most student AI use is centred on broad tools such as ChatGPT, Copilot and Claude. This is important because these tools are easy to access, but students still need to judge whether the output is accurate and acceptable to use.

Chart 3: AI brings benefits, but the impact is mixed

Source: University of Melbourne & KPMG, Trust, attitudes and use of AI: A global study 2025.
Story note: Students report clear benefits in efficiency, information access and idea generation. However, the results are more mixed for critical thinking, fairness, communication and trust. This shows that AI can support learning while also creating new academic risks.

Chart 4: The guidance gap is real

Source: University of Melbourne & KPMG, Trust, attitudes and use of AI: A global study 2025.
Story note: The problem is not only that students are using AI. The bigger issue is that rules, training and guidance do not always feel clear. If students are already using AI, universities need to explain what responsible use looks like in real assessment situations.

Chart 5: AI use is high, but trust and training still lag

Source: University of Melbourne & KPMG, Trust, attitudes and use of AI: A global study 2025.
Story note: The final chart shows the main point of the story. Students are already using AI often, especially free public tools. But trust, training and formal guidance are lower. This gap helps explain why students may use AI frequently while still feeling uncertain about what is safe and allowed.

Conclusion

The rise of generative AI in education is not just a technology story. It is also a student experience story. AI can help students work faster, understand material and improve their study process. At the same time, it can create over-reliance, uncertainty and fairness concerns. The data suggests that universities should not only focus on detecting or restricting AI use. They also need to teach AI literacy, provide clear rules and help students understand when AI support becomes an academic risk.

Acknowledgement of GenAI use

ChatGPT was used to help plan the story structure, refine wording, and provide coding guidance for the RMarkdown and Plotly visualisations. I reviewed and edited the content, checked the data sources, and made the final decisions about the story, charts and submission.

References

Freeman, J. (2025). Student Generative AI Survey 2025. Higher Education Policy Institute. https://www.hepi.ac.uk/reports/student-generative-ai-survey-2025/

Gillespie, N., Lockey, S., Ward, T., Macdade, A., & Hassed, G. (2025). Trust, attitudes and use of artificial intelligence: A global study 2025. The University of Melbourne and KPMG. https://doi.org/10.26188/28822919

Australian National University Students’ Association. (2025). 2024 GenAI survey report. https://anusa.com.au/wp-content/uploads/2025/06/2024_GenAI_Survey_Report_final.pdf