Source: https://senecalearning.com/en-gb/revision-notes/teacher-cpd/cpd-applications-of-artificial-intelligence-in-education/1-2-8-whole-school-data

[Revision notes](https://senecalearning.com/en-gb/revision-notes.md) › [Teacher CPD](https://senecalearning.com/en-gb/revision-notes/teacher-cpd.md) › [CPD: Applications of Artificial Intelligence in Education](https://senecalearning.com/en-gb/revision-notes/teacher-cpd/cpd-applications-of-artificial-intelligence-in-education.md) › Whole-School Data

# 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

![Total SLT Snapshot](https://image-v2.cdn.app.senecalearning.com/2022-09/c7997dc2-93c4-4211-9a07-e52a36954b08/meeting-1015590_1920.jpg)

- 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

![Target Groups](https://image-v2.cdn.app.senecalearning.com/2018-07/159a968c-f361-44ea-8b06-0a4fef17eb6e/teenagefriends.jpg)

- 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

![Student activity](https://image-v2.cdn.app.senecalearning.com/2023-03/e7162d1d-3fac-4212-ba91-aa1ba5caddd2/students-377789_1280.jpg)

- 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

![Teacher Activity](https://image-v2.cdn.app.senecalearning.com/2020-11/5b3767a0-42ca-4862-ad6b-a847e2517dab/teacher-child-student.jpg)

- 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

![Classes](https://image-v2.cdn.app.senecalearning.com/2022-12/34826b6a-040b-47f0-b8d7-887c14a7211e/teacher-4784917_1920.jpg)

-  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?

[Practise this topic for free](https://app.senecalearning.com/classroom/course/e948900d-8a8a-4eab-bbb2-ea72f7201912/section/b4d241d3-aaad-4f93-869f-4e9bfb25dd2c/session)

- Previous topic: [1.2.7 Reports](https://senecalearning.com/en-gb/revision-notes/teacher-cpd/cpd-applications-of-artificial-intelligence-in-education/1-2-7-reports.md)
- Next topic: [1.2.9 Content Creation & Lesson Planning](https://senecalearning.com/en-gb/revision-notes/teacher-cpd/cpd-applications-of-artificial-intelligence-in-education/1-2-9-content-creation-and-lesson-planning.md)

## CPD: Applications of Artificial Intelligence in Education contents

### 1 Applications of AI in Education
- 1.1 Introduction to AI
  - [1.1.1 Key Terms](https://senecalearning.com/en-gb/revision-notes/teacher-cpd/cpd-applications-of-artificial-intelligence-in-education/1-1-1-key-terms.md)
  - [1.1.2 Input & Output](https://senecalearning.com/en-gb/revision-notes/teacher-cpd/cpd-applications-of-artificial-intelligence-in-education/1-1-2-input-and-output.md)
  - [1.1.3 What has Changed Recently?](https://senecalearning.com/en-gb/revision-notes/teacher-cpd/cpd-applications-of-artificial-intelligence-in-education/1-1-3-what-has-changed-recently.md)
  - [1.1.4 How does ChatGPT Work?](https://senecalearning.com/en-gb/revision-notes/teacher-cpd/cpd-applications-of-artificial-intelligence-in-education/1-1-4-how-does-chatgpt-work.md)
  - [1.1.5 Limitations of AI](https://senecalearning.com/en-gb/revision-notes/teacher-cpd/cpd-applications-of-artificial-intelligence-in-education/1-1-5-limitations-of-ai.md)
  - [1.1.6 Is AI Actually Intelligent?](https://senecalearning.com/en-gb/revision-notes/teacher-cpd/cpd-applications-of-artificial-intelligence-in-education/1-1-6-is-ai-actually-intelligent.md)
  - [1.1.7 UK Policies](https://senecalearning.com/en-gb/revision-notes/teacher-cpd/cpd-applications-of-artificial-intelligence-in-education/1-1-7-uk-policies.md)
- 1.2 Examples of Applications
  - [1.2.1 Areas of Application](https://senecalearning.com/en-gb/revision-notes/teacher-cpd/cpd-applications-of-artificial-intelligence-in-education/1-2-1-areas-of-application.md)
  - [1.2.2 Adaptive Learning Platforms](https://senecalearning.com/en-gb/revision-notes/teacher-cpd/cpd-applications-of-artificial-intelligence-in-education/1-2-2-adaptive-learning-platforms.md)
  - [1.2.3 Personalised Tutor](https://senecalearning.com/en-gb/revision-notes/teacher-cpd/cpd-applications-of-artificial-intelligence-in-education/1-2-3-personalised-tutor.md)
  - [1.2.4 Accessibility](https://senecalearning.com/en-gb/revision-notes/teacher-cpd/cpd-applications-of-artificial-intelligence-in-education/1-2-4-accessibility.md)
  - [1.2.5 Automated Assessments](https://senecalearning.com/en-gb/revision-notes/teacher-cpd/cpd-applications-of-artificial-intelligence-in-education/1-2-5-automated-assessments.md)
  - [1.2.6 Open-Ended Questions](https://senecalearning.com/en-gb/revision-notes/teacher-cpd/cpd-applications-of-artificial-intelligence-in-education/1-2-6-open-ended-questions.md)
  - [1.2.7 Reports](https://senecalearning.com/en-gb/revision-notes/teacher-cpd/cpd-applications-of-artificial-intelligence-in-education/1-2-7-reports.md)
  - [1.2.8 Whole-School Data](https://senecalearning.com/en-gb/revision-notes/teacher-cpd/cpd-applications-of-artificial-intelligence-in-education/1-2-8-whole-school-data.md)
  - [1.2.9 Content Creation & Lesson Planning](https://senecalearning.com/en-gb/revision-notes/teacher-cpd/cpd-applications-of-artificial-intelligence-in-education/1-2-9-content-creation-and-lesson-planning.md)
  - [1.2.10 Teacher Well-Being](https://senecalearning.com/en-gb/revision-notes/teacher-cpd/cpd-applications-of-artificial-intelligence-in-education/1-2-10-teacher-well-being.md)
- 1.3 Other Things to Consider
  - [1.3.1 How to Look at AI in Education](https://senecalearning.com/en-gb/revision-notes/teacher-cpd/cpd-applications-of-artificial-intelligence-in-education/1-3-1-how-to-look-at-ai-in-education.md)
  - [1.3.2 Ethics](https://senecalearning.com/en-gb/revision-notes/teacher-cpd/cpd-applications-of-artificial-intelligence-in-education/1-3-2-ethics.md)
  - [1.3.3 Teacher & Pupil Training](https://senecalearning.com/en-gb/revision-notes/teacher-cpd/cpd-applications-of-artificial-intelligence-in-education/1-3-3-teacher-and-pupil-training.md)
  - [1.3.4 Cheating](https://senecalearning.com/en-gb/revision-notes/teacher-cpd/cpd-applications-of-artificial-intelligence-in-education/1-3-4-cheating.md)
  - [1.3.5 Stanford Graduate School of Education](https://senecalearning.com/en-gb/revision-notes/teacher-cpd/cpd-applications-of-artificial-intelligence-in-education/1-3-5-stanford-graduate-school-of-education.md)