Whole-School Data
CPD: Applications of Artificial Intelligence in Education, topic 1.2.8
Seneca's SLT reports
This is the most effective tool on the Seneca platform for tracking student progress over time & implementing it across your school. You have access to 5 tabs of data.
Total SLT Snapshot
- This provides a top-down whole school report showing data across each active subject with statistics covering:
- Total assignments across the given time frame
- Total completion rates (on time and late completion)
- On-time completion rates
- Average score %
- Number of active students
- Total learning time in hours
Target Groups
- We can break the data down by important student characteristics & target groups, filtering information by:
- Pupil premium
- English as an additional language
- Male/female
- SEN
- FSM
- Gifted
- LEA care
- Ethnicity
Student activity
- Showing the most granular level of detail this tab draws all data down to an individual student level:
- Student name
- Student year group
- Last login date
- Assignments set
- Completion rate
- Average score
- Total study sessions
- Number of subjects studied
- Total study time
- Scores and completions across each subject
Teacher Activity
- Data on platform usage at departmental level. This can be used to celebrate best practice & ensure cross-departmental adoption:
- Number of classes/students
- Assignments set
- Completion rates
- Last assignment set
Classes
- Seneca usage on a class-by-class basis in your school:
- Number of students
- Assignments set
- Completion rates
- Average scores
- Study time
- Last assignment set
Test yourself on Whole-School Data
How are some of the ways teachers can leverage AI-analyses of whole-school data?