From June 3-6, educators, tech experts, and innovators gathered for the 1EdTech Learning Impact Conference. The conference was brimming with insights and discussions on the future of education technology and AI.
The Future of AI in Education
The opening session set an ambitious tone, discussing the exponential growth of computing power, which is really mind-boggling. Today, $1,000 worth of computing can match the cognitive power of one human brain. By 2050, it's projected that the same amount will equal the combined brain power of all humans! However, multiple sessions emphasized that while AI can excel in fostering specific skills, it cannot replicate human judgment and wisdom. The expected progression of AI integration in education was discussed and outlined as follows:
- Learning ABOUT AI
- Learning FROM AI
- Learning WITH AI
The consensus at the event was clear that we are in Stage 1 and the current K-12 infrastructure is lagging in AI adoption. Many pointed back to the fear of the emerging technology, while others felt we are just in the beginning stages of understanding how to use AI effectively. Instead of thinking of it as a tool that can be used for cheating, educators need to begin to think about Stage 2, and how we can learn from AI. This means working alongside students to understand how it can be used effectively and how it can spark imagination. From there we can move on to Stage 3 of learning with AI.
The Expiry of ESSER Funds
With the expiration of ESSER funds at the end of this year, many sessions focused on the implications and future planning for schools that have relied on these resources. This is a critical issue, impacting budgets and funding allocations across various educational institutions.