You can use this template to summarise your teaching activity. Examples can be found from our case study page.
For designing your own project based learning, you can use Data Analytic Framework to frame your activity. For example, in below, 9 hours of activities were planned by 1. Defining the problem, 2 & 3. Consider and exploring data, 4 & 5. Drawing conclusions and making decisions.
Although there is no perfect way to teach DA, the following points are worth considering when you design your activities:
Data Analytics Framework
Click to enlarge
(a) Recognising the need for data;
(b) Generating specific questions that can be answered with data e.g. “Does weather affect students behaviour?”; Use gap minder etc. to consider what issues can be explored?
Visit here for Data Set CODAP
Possible Questions to be Explored
1. Click the link above, allow to load and drag and drop data from the table left to the graphs right, and explore temperatures etc. in 2018 and 2019. For example, is there any relationship between daily temperature and daily radiation?;
2. Explore BP and day, Late to am reg to day, etc. Can you find any patterns?;
3. Explore BP and temperature, etc. Do you think there are any relationships between students’ behaviours and weather?;
4. Discuss what measurement such as mean, median etc. can be used to represent data?;
5. Summarise your findings by explicitly stating what evidence can be used to state your conclusions? Also what implications can you make based on your findings?
(a) Using data as evidence for generalisations beyond describing the given data;
(b) Expressing an articulation of uncertainty;
(c) Communicating what has been learned e.g. “Students’ behaviours might be worse on Thursday as well as being late to the school on Monday”, “there might be a positive correlation between daily radiation and daily maximum temperatures”
Gap Minder website