Summary:
- This article discusses the potential challenges and lessons learned from past failures of educational technology that could inform the future use of AI in schools.
- It highlights how previous ed-tech initiatives, such as the One Laptop Per Child program, often failed to live up to their promises due to factors like lack of teacher training and support, and the inability to address underlying inequalities.
- The article suggests that for AI in education to be successful, it will be crucial to address issues like data privacy, algorithmic bias, and the need for human oversight and intervention, in order to ensure that AI-powered tools truly benefit all students.