Project: Noisy Sheets: A Practical Approach to Scalable, Authentic Assessment for Quantitative Literacy
This collaborative projects with the UTS School of Mathematical and Physical Sciences will develop an application to support authentic data analytics assessment as a flipped-learning activity. We will develop an application that enables us to share an individual copy of a dataset to all students via google sheets. The dataset will be modified such that each student receives the data with some random variance built in; so you can work with the same data, but answers to calculations will be distinct to each individual. Sharing authentic data builds student engagement, while encouraging student to complete the work (and avoiding concerns of plagiarism in quizzes based on a shared dataset).
- Dr Simon Knight, Connected Intelligence Centre, UTS
- Dr Mary Coupland, School of Mathematical and Physical Sciences, UTS
- Coral Connor, School of Mathematical and Physical Sciences, UTS