Furthermore, the article explores the potential of AI to redefine educational models, such as competency-based education, while addressing risks like data privacy and algorithmic bias. It underscores the necessity of keeping educators in control, using AI to provide insights rather than replace teacher judgment. The piece concludes by urging EdTech leaders to view AI as a platform for rethinking education delivery, advocating for modernization of infrastructure and alignment of policies to create a more inclusive and effective education system.
Key takeaways:
- AI in education should focus on high-impact applications that align with institutional priorities and systemic needs.
- Sustainable AI integration requires infrastructure that supports interoperability, transparency, and governance.
- AI has the potential to redefine educational models, such as competency-based education, but requires updates to policies and metrics.
- Addressing risks like data privacy and algorithmic bias is essential to earning trust and ensuring fairness in AI adoption.