The Dual Nature of AI in Education
Learning AI is Teaching AI Series
When we integrate AI into the classroom, we aren’t just teaching students how to use a new piece of software; we are actively training the AI to better understand human reasoning, communication, and needs. AI is self-learning and self-teaching; every interaction, every prompt, and every correction provided by a student or teacher serves as data that refines the AI’s future performance.
This dual nature necessitates a move away from traditional rote learning. As AI becomes more capable of handling knowledge retrieval and basic reasoning, the role of the educator shifts from a transmitter of information to a “trusted filter” and mediator. Education must now focus on how to navigate this partnership responsibly, emphasizing ethical frameworks like the Oxford rubric—prioritizing safety, efficacy, accountability, transparency, and agency.
