Techniques for using artificial intelligence to foster active learning

The application of artificial intelligence in education is playing an increasingly important role in ensuring an active and interactive learning process. Active learning is based on the idea that students take an active role in constructing their own knowledge, which requires deeper cognitive processing, participation in discussion, reflection, and the application of concepts in different contexts.

Artificial intelligence can enhance these processes by personalising content, automating analytics, supporting reflection, and enabling authentic learning experiences.

To realise the full potential of artificial intelligence in education, it is necessary to understand specific techniques for its application that directly support active learning and contribute to greater engagement, interaction, and deeper understanding of the content.

In this context, the following are basic artificial intelligence techniques aimed at developing active learning:

• Generating cognitively stimulating questions
• Adaptive learning tailored to student progress
• Automated real-time feedback
• Interactive simulations and decision-making scenarios
• Support for self-regulated learning and metacognition
• Learning analytics to encourage reflection and decision-making
• Educational chatbots for developing critical thinking and argumentation

Each of these techniques includes specific didactic possibilities that can contribute to increasing the quality of the educational process and encouraging a deeper understanding of educational content.