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AI in education: Establishing foundations for personalised learning

Estonian kids generally score very high on PISA tests, and similarly to the rest of the OECD countries, the Ministry of Education’s current strategic goal is to implement a personalised education paradigm in Estonian schools. They have launched an AI council to introduce AI into schools and boost personalised education. 

The article by Peeter Vihma was published first on the E-Estonia webpage.

Before exploring use cases and specific activities, the expert group established general principles to introduce consistency into AI-related developments.

Establishing principles for AI integration

“We noticed in other countries that the enthusiasm for using AI can be like a yo-yo. There is a period of great excitement followed by distrust. We want to bring more stability into the field by providing a checklist of principles that would help decision-makers make quick decisions but keep a consistently critical mindset,” says Sten Kapten, advisor to the Ministry on Education and Research and secretary for the council.

“The group aims to publish the guidelines that direct civil servants, school leaders and teachers to consider the notion that AI is here to stay and that we need to learn how to make the most of it,” says Mr Kapten.

Empowering educators through AI training

The council, consisting of educational scientists, teachers, and entrepreneurs, recognised that AI had made its way into education regardless of whether there was support from the ministry or school.

With societal pressure to understand and benefit from AI’s use, the ministry is looking into mass courses for teachers, students, and civil servants. These courses would share best practices and provide examples of how teachers could use AI for their tasks in a down-to-earth manner.

“Educating civil servants is important because we want to practice what we preach,” says Sten Kapten. “Our administrators need to be able to stay ahead and show the way rather than passively react to demand.”

Maintaining cognitive engagement in AI-assisted learning

With the introduction of AI, metacognition is under pressure. As students can ask large language models to perform certain tasks (such as writing text, solving problems, drawing graphs, and so on), it is important to keep the study process mentally challenging in classrooms and at home.

“Even if the student lets the AI write some parts of homework, there needs to be, for example, an oral exchange to understand the student’s thinking process,” says Mr Kapten.

It is crucial that with the introduction of AI, we are moving towards – not away from – more inclusive education, which builds on the dialogue between the student, teacher, and parents.

Adaptive learning tools: Personalising education

In addition to helping students, AI-based education technology provides teachers with adaptive learning tools. For example, learning software may start each lesson with a short test that checks for the learner’s current skillset. It then provides specific tasks and support that fit the learner’s needs.

Mr Kapten realises that personalised learning has been on the Estonian agenda for a long time. Still, a lack of financial resources, technological development, and teachers has hampered its rollout. AI-based technology can provide the opportunity.

“AI can ideally free teachers’ time to allow them to dedicate more time for personal attention to students. The change is technical and requires a broader rethinking of the teaching process. We consider the introduction of AI as an opportunity to support change in schools,” says Mr Kapten.

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