Data Literacy
Data literacy is the capacity to collate, manage, access and use digital data in spreadsheets and other media; to record and use personal data; to ensure data security and to apply legal, ethical and security guidelines in data collection and use. At higher levels, the ability to interpret data by running queries, data analyses and reports.
Student learning outcome examples
- Collate, manage and access digital data in spreadsheets and other media
- Record and use personal data
- Understand ethical, legal and security responsibilities when accessing data
- Critically appraise published data in order to understand potential limitations or biases
- Interpret data in databases and spreadsheets by running queries, data analyses and reports
Capability development case examples
Data literacy quiz
Ask the students to complete this The Data Literacy Project: Self Assessment Tool in class, share their results with the person next to them and report back on a few key takeaways depending on your focus for the tutorial.
Create a study schedule in excel
Ask students, in between tutorials, to complete the Google Applied Digital Skills: Create a Study Schedule to Meet Your Goals 45-minute activity on creating a study schedule using Excel.
Working with data module
- Ask the students to complete the Working with Data Canvas Commons Module (based on the UQ Online Module, 30 mins) before or in class. To add this module to your subject site, visit this page <under construction> to find out how.
Resources
- Send your students to get extra help via Study Advantage Workshops
- Document your research data (UQ, online module)
- 35 incredible dataviz tools
