We present an authentic learning task designed for computing students, centred on the creation of data-art visualisations from chosen datasets for a public exhibition. This exhibition was showcased in the cinema foyer for two weeks in June, providing a real-world platform for students to display their work. Over the course of two years, we implemented this active learning task with two different cohorts of students. In this paper, we share our experiences and insights from these activities, highlighting the impact on student engagement and learning outcomes. We also provide a detailed description of the seven individual tasks that learners must perform: topic and data selection and analysis, research and art inspiration, design conceptualisation, proposed solution, visualisation creation, exhibition curation, and reflection. By integrating these tasks, students not only develop technical skills but also gain practical experience in presenting their work to a public audience, bridging the gap between academic learning and professional practice.

翻译：本文介绍了一项为计算机专业学生设计的真实学习任务，该任务以创建数据艺术可视化作品为核心，要求学生从自选数据集中创作作品并参与公开展览。该展览于六月在影院大厅持续展出两周，为学生提供了展示作品的真实平台。在两年时间内，我们面向两批不同学生群体实施了这项主动学习任务。本文分享了我们在这些活动中的实践经验与见解，重点阐述了其对学习参与度和学习成果的影响。同时，我们详细描述了学习者需要完成的七项具体任务：主题与数据选择分析、研究与艺术灵感获取、设计概念形成、解决方案提案、可视化创作、展览策划以及反思总结。通过整合这些任务，学生不仅能提升技术能力，还能获得向公众展示作品的实践经验，从而弥合学术学习与专业实践之间的鸿沟。