Ideas for AI in Education

Data Quality & EMIS

These ideas cover supporting the data collection to tools that enable data-informed decisions.

Where AI Can Be Applied

Go back to our diagram to browse ideas on where AI can be used across the education system.

AI Ideas

We want to hear from you on what you think are the most promising ideas for AI that can help improve teaching and learning - you can vote by clicking the up arrow next to the idea. You can filter by 'What does it do?' and 'AI Tools' or search for keywords.
What is the issue? Solution What does it do? What kinds of AI tools can be used? Votes
There is limited data analysis on student assessments at a national level so targeting support to underperforming schools is challenging. Analyse school performance data and use AI to group schools to help inform targeting of training and support. Analytics, Management and use of education information ML: Classification, ML: Clustering, ML: Dimensionality Reduction
7
Governments need more data analysis to understand whether educational interventions are successful. Aggregation and analysis of data relating to education intervention programmes to understand their effectiveness. Analytics, Management and use of education information Large Language Models, ML: Classification, ML: Clustering, ML: Dimensionality Reduction, ML: Regression, NLP: Generation, NLP: Summarisation
8
Teachers are placed in schools where they are unsuitable due to personal, cultural, or linguistic factors. Analysis of staff retention alongside assessments of teachers' personal and professional qualities provides information to help inform hiring or posting decisions. Analytics, Management and use of education information Large Language Models, ML: Classification, ML: Clustering, ML: Dimensionality Reduction, NLP: Generation, NLP: Text Classification
3
Budgeting and planning require the synthesis of lots of data sources to evaluate past and predict future performance. Synthesise multiple data sources in reports to support budgeting and planning processes. Analytics, Management and use of education information ML: Classification, ML: Clustering, ML: Dimensionality Reduction, ML: Regression
2
School dropout for academic or social reasons is a big problem for many schools. Analyse student performance and wellbeing data to identify students at risk of dropout. Analytics, Inclusion, Management and use of education information ML: Classification, ML: Clustering, ML: Dimensionality Reduction
10
School leaders and policy makers struggle to use data due to low levels of data literacy. Current data dashboards rely on charts and not interpretations. AI can help interpret charts in dashboards at school level to allow for local planning. Analytics, Management and use of education information ML: Classification, ML: Clustering, ML: Dimensionality Reduction, ML: Regression, MM: Image2Text, NLP: Generation, NLP: Summarisation
5
Back to Education System Diagram

How We Have Categorised

AI Tools

AI Tool Categories • Definitions

While developing our AI ideas list we’ve also put together a list of the AI tools that might be used to solve the issues set out in each idea. The aim is to help us identify and prioritise what tech to develop and to understand the problems we want to solve.

See AI Tools List

What Does It Do?

Function • Purpose

Some of the AI applications are performing similar functions (even though serving different parts of the Teaching and Learning Framework). For example, AI chatbots could be used by teachers to support Teacher Learning, or by students to support Student Learning. We’ve put together eight functions that AI tools perform to solve the education issues identified. The aim is to help us group similar ideas together for ease of navigation.

See Functions List

Have We Missed Anything?

You can suggest AI ideas for inclusion on the platform – if you think we’ve missed something please add your suggestions using the form via the link below.

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