Artificial Intelligence (AI) can fall at different levels of the SAMR scale depending on how it is used in the learning process.

At the Substitution level, AI can be used to replace traditional teaching methods such as textbooks or lectures. For example, AI-powered chatbots can answer students’ questions and provide feedback on their work.

At the Augmentation level, AI can enhance the learning experience by providing additional resources and personalized feedback. For example, AI-powered adaptive learning platforms can adjust the difficulty level of questions based on students’ performance.

At the Modification level, AI can transform the learning experience by enabling new forms of collaboration and creativity. For example, AI-powered virtual reality simulations can allow students to explore complex concepts in a more immersive and engaging way.

At the Redefinition level, AI can completely redefine the learning experience by enabling new forms of learning that were previously impossible. For example, AI-powered natural language processing can enable students to have conversations with virtual tutors that can understand and respond to their questions in real-time.

Overall, AI has the potential to transform education at all levels of the SAMR scale, from simple substitution to complete redefinition.