We are education technology experts.

Skip to main content
Blogs - AI for Learning

The Intersection of Policy, CTE Momentum, and AI in Education

  • Published on: March 5, 2025
  • |
  • Updated on: March 5, 2025
  • |
  • Reading Time: 3 mins
  • |
  • Views
  • |
Authored By:

Sean Strathy

AVP - Ed Services

Key Takeaways from My Conversation with Anna Edwards:

In the latest episode of the Tech in EdTech podcast, I had the pleasure of speaking with Anna Edwards,
co-founder and Chief Advocacy Officer of Whiteboard Advisors. Our conversation spanned a variety of pressing topics, from federal and state education policy shifts to the growing momentum of career and technical education (CTE) and the evolving role of artificial intelligence in K-12 classrooms. Here are the major takeaways from our discussion:

Federal vs. State Policy: What’s Really Changing on the Ground?

With the recent shift in political control at the federal level, many are wondering how K-12 education will be affected. Anna emphasized that while changes at the U.S. Department of Education may make headlines, the most tangible policy shifts happen at the state level. The structure of federal education funding, including programs like Title I and IDEA, is unlikely to see drastic changes. However, we can expect ongoing discussions around accountability, school choice, and potential restructuring of the Department of Education itself. For district leaders, the main concern remains funding, particularly in the wake of ESSER funds expiring.

States Leading the Way in Policy Innovation

While the federal government navigates political dynamics, states continue to drive the most impactful education policy changes. Anna highlighted several states implementing innovative approaches to accountability and student assessment. For example, states like Utah and New York are exploring ways to move beyond traditional math and ELA testing by incorporating a more holistic “portrait of a graduate” model, emphasizing critical thinking, collaboration, and resilience. Additionally, states such as Indiana and Ohio are integrating CTE and work-based learning opportunities into core student pathways, setting a precedent for how K-12 education can better align with workforce needs.

The Rising Tide of CTE and Work-Based Learning

CTE programs have gained significant momentum, with over half of the nation’s governors mentioning them in recent State of the State addresses. Anna pointed out that while large corporations like Amazon and Google often dominate discussions around work-based learning, there is a growing push to include small and mid-sized businesses in these programs. Technology is playing a crucial role in expanding CTE opportunities, especially in rural and urban districts where access has traditionally been limited. Platforms like School Links are emerging to help students explore career interests, map out academic pathways, and connect with real-world learning experiences at scale.

AI in K-12: From Student Learning to Teacher Support

Artificial intelligence continues to be a hot topic in education, and districts are still determining how best to integrate it. Initially, many schools responded to the rise of generative AI tools like ChatGPT with caution, implementing strict policies around student use. However, a shift is occurring as educators explore how AI can enhance instruction rather than replace it. AI-driven tools are helping teachers with lesson planning, assessment creation, and data analysis, ultimately saving time and improving instructional effectiveness. Meanwhile, districts are also beginning to emphasize AI literacy, ensuring students understand ethical usage and the role AI will play in future careers.

Looking Ahead: The Future of EdTech and Policy

As we move further into 2025, Anna highlighted the critical need for better data infrastructure in education. While cutting-edge tools are making waves, their effectiveness hinges on strong back-end systems that allow for seamless integration and interoperability. Additionally, with ESSER funding expiring, edtech providers must work closely with districts to navigate new funding strategies and help position their solutions as essential investments in modern education.

Our conversation underscored that while federal policies set the stage, real change happens at the state and district levels. Whether through innovative accountability measures, CTE expansion, or AI integration, education leaders must remain agile, leveraging technology and policy shifts to improve student outcomes.

A young girl with headphones sits at a kitchen table, engaged in an online learning session on her laptop. She is smiling, holding a pen near her chin, with open notebooks in front of her, indicating active participation in a virtual class.

Stay tuned for more insightful conversations on Tech in EdTech as we continue exploring the evolving landscape of education technology! For more information on Magic EdTech, swing by our website at www.magicedtech.com.

 

Written By:

Sean Strathy

AVP - Ed Services

With a passion for the teaching and learning process and a continuous desire to learn about new technology, Sean helps organizations deliver better learning outcomes that are accessible, affordable, and measurable. His expertise is in staying on top of ed-tech trends so that his clients can innovate and improve student outcomes.

FAQs

Successful AI-powered solutions should emphasize ethical usage, transparency, and augmentation of human capabilities rather than replacement. Develop robust frameworks that show how your technology supports teacher workflows, enhances personalized learning, and prepares students for AI-integrated professional environments. Include clear guidelines on data privacy, algorithmic accountability, and student skill development.

Flexibility is key. Design products with modular architectures that can be easily customized to meet varied state accountability standards. Create solutions that can incorporate different assessment models, support multiple career pathway integrations, and adapt to emerging state-specific educational priorities. Develop strong interoperability features that allow seamless data exchange across different district systems.

Students should develop AI literacy focusing on ethical usage, basic programming concepts, data interpretation, and understanding AI's role in various industries. This includes learning prompt engineering, understanding AI limitations, and developing critical thinking skills to evaluate AI-generated content.

Primary risks include potential bias in AI tools, privacy concerns, over-reliance on technology, and the need for robust digital literacy training. Schools must develop comprehensive guidelines that treat AI as a supportive tool rather than a replacement for human instruction.

Get In Touch

Reach out to our team with your question and our representatives will get back to you within 24 working hours.