Generative AI, exemplified by tools like ChatGPT and Bard, is raising concerns among educators about plagiarism and the loss of genuine learning. However, its role as a personal tutor is undeniable, offering a scalable, one-on-one learning experience that has begun to alter traditional education paradigms.
AI’s appeal in education stems not from technological novelty but from its ability to engage and motivate learners. The addictive quality of learning through AI is rooted in a deep understanding of what drives learner engagement, a concept I’ve explored through my experiences from competitive math in Armenia to studying at MIT, and later founding CodeSignal.
The concept of addictive learning through AI revolves around sustained motivation and long-term engagement. It’s about transforming learners into self-motivated individuals, a challenge that remains at the forefront of educational research. AI aids in this by tailoring learning experiences to individual needs and preferences, exemplified by figures like Judit Polgár, who achieved greatness through intense, personalized coaching.
Generative AI is instrumental in crafting these personalized learning journeys. It brings relevance and customization to educational content, adapting it to individual needs and goals. By aligning content with learners’ interests and abilities, AI ensures a more effective and engaging learning process.
In conclusion, AI’s role in education is multifaceted, extending beyond mere content delivery to fostering a culture of motivated, lifelong learners. It’s about building a generation ready to continuously learn and adapt, benefiting individuals and society at large.
