School Technology Policy Development

🌍 UNESCO’s Pillars Framework for Digital Transformation in Education offers a roadmap for leaders, educators, and tech partners to work together and bridge the digital divide. This framework is about more than just tech—it’s about supporting communities and keeping education a public good. 💡 When implementing EdTech, policymakers should pay special attention to these critical aspects to ensure that technology meaningfully enhances education without introducing unintended issues:  🚸1. Equity and Access Policymakers need to prioritize closing the digital divide by providing affordable internet, reliable devices, and offline options where connectivity is limited. Without equitable access, EdTech can worsen existing educational inequalities.  💻2. Data Privacy and Security Implementing strong data privacy laws and secure platforms is essential to build trust. Policymakers must ensure compliance with data protection standards and implement safeguards against data breaches, especially in systems that involve sensitive information.  🚌3. Pedagogical Alignment and Quality of Content Digital tools and content should be high-quality, curriculum-aligned, and support real learning needs. Policymakers should involve educators in selecting and shaping EdTech tools that align with proven pedagogical practices.  🌍4. Sustainable Funding and Cost Management To avoid financial strain, policymakers should develop sustainable, long-term funding models and evaluate the total cost of ownership, including infrastructure, updates, and training. Balancing costs with impact is key to sustaining EdTech programs.  🦺5. Capacity Building and Professional Development Training is essential for teachers to integrate EdTech into their teaching practices confidently. Policymakers need to provide robust, ongoing professional development and peer-support systems, so educators feel empowered rather than overwhelmed by new tools. 👓 6. Monitoring, Evaluation, and Continuous Improvement Policymakers should establish monitoring and evaluation processes to track progress and understand what works. This includes using data to refine strategies, ensure goals are met, and avoid wasted resources on ineffective solutions. 🧑🚒 7. Cultural and Social Adaptation Cultural sensitivity is crucial, especially in communities less familiar with digital learning. Policymakers should promote a growth mindset and address resistance through community engagement and awareness campaigns that highlight the educational value of EdTech. 🥸 8. Environmental Sustainability Policymakers should integrate green practices, like using energy-efficient devices and recycling programs, to reduce EdTech’s carbon footprint. Sustainable practices can also help keep costs manageable over time. 🔥Download: UNESCO. (2024). Six pillars for the digital transformation of education. UNESCO. https://lnkd.in/eYgr922n  #DigitalTransformation #EducationInnovation #GlobalEducation

In the past few months, we've worked with partners who've run into the same challenge with AI adoption. They rolled out policies or guidelines without bringing people into the conversation first—no workshop, no consensus building, just documents that needed signatures or implementation. Unsurprisingly, the result was frustrated staff expected to enforce or follow rules they had no part in creating, and leaders facing resistance instead of adoption. Both AI policies and guidelines are critical for responsible AI adoption, but they have to be built intentionally, with stakeholders driving consensus, or they most likely won't work. After working with hundreds of districts, we've created the resource below. Here are the best practices we recommend. Policies are your compliance layer and are designed to protect your district. We suggest adaptations to existing: ✔️ Acceptable use policies ✔️ Data privacy/FERPA protections ✔️ Academic integrity standards ✔️ Cyberbullying policies (to add deepfakes) Guidelines are your change management layer. They are the "why" that brings people along. We recommend including the following in your AI guidelines: 💡 Vision for GenAI adoption across your district 💡 GenAI misuse/academic integrity response protocols 💡 GenAI chatbot and EdTech tool vetting processes 💡 Digital wellbeing, data privacy, and student safety practices 💡 Implementation tips and instructional supports 💡 AI Literacy training opportunities and expectations What matters most is that both policies and guidelines should be built with stakeholders, not handed down to them. They should evolve with feedback, evidence of impact, and technical advancements. In all of our guideline and policy development work, we always start with AI literacy. It's important to build foundational understanding across stakeholders so that when policies and guidelines are developed, people can contribute meaningfully to the process and understand the "why" behind what they're being asked to implement. Intentional stakeholder engagement isn't a nice-to-have. It's what we've seen drive adoption. #AIforEducation #GenAI #ChangeManagement #AI

Research tracking actual edtech usage across K–12 districts shows that 60–70% of purchased ed-tech licenses go unused. Nationally, that adds up to $1+ billion every year in underutilized or unused software. That’s not a technology failure. That's an adoption and oversight failure. The good news: districts that address this intentionally can claw back both dollars and instructional focus. What works: • Designate a clear instructional owner for every tool. No owner, no renewal • Right-size licenses annually based on real usage, not enrollment • Simplify portfolios with fewer tools, deeper implementation • Build adoption benchmarks into contracts and renewal decisions • Invest in training for teachers with ongoing support, not one-time PD • Require vendors to provide transparent usage and impact data • Sunset unused tools regularly, make stopping just as normal as starting The hidden cost of edtech isn’t the license. It’s the clutter, confusion, and lost time when tools don’t earn their place. The next phase of edtech isn’t about buying smarter tools. It’s about managing them better. If school districts did this consistently, the budget conversation would shift from “we need more” to “we’re finally getting value.” #edtech #education #edbudget #edleadership #teachers #schools #edreform

Proud to have contributed as a co-author to California’s AI Guidance for Public Schools, developed through a statewide working group convened by the California Department of Education and supported by Superintendent Tony Thurmond. What makes this guidance different is how it was built: Cross-sector collaboration (TK–12, higher ed, unions, county offices, nonprofits, IT, policy) Grounded in statute (SB 1288), Explicit about human judgment, equity, and developmental appropriateness Rather than asking schools to “adopt AI,” it asks better questions: When does AI support learning—and when does it interfere? How do we protect student data before procurement? What does AI literacy look like across grade spans, not just as a standalone unit? For leaders feeling pressure to “do something with AI,” this guidance is a good resource that governance, pedagogy, and trust come first. Many thanks to other educators who helped put this together. Below in the comments is a link to view the CDE AI guidance page.

Massachusetts releases first AI guidance for K-12 education, balancing innovation with safety ▶ The Massachusetts Department of Elementary and Secondary Education (DESE) has released its first AI guidance for K-12 schools, providing a flexible framework for districts to use AI responsibly. ▶ The guidance outlines core principles including equity, transparency, academic integrity, and human oversight to ensure a safe and effective learning environment. ▶ It includes resources like an AI Literacy Module for Educators to help teachers understand and confidently integrate AI tools into their classrooms. ▶ The policy recommends that districts vet AI tools through a formal data privacy agreement process and teach students how their data is used. ▶ It suggests that schools could implement policies for students to include an "AI Used" section in their papers, clarifying how and when they used the tools. ▶ The guidance emphasizes that AI should be used in ways that reinforce learning, not short-circuit it, and warns against over-reliance that creates "cognitive debt." ▶ The state is committed to a multi-year roadmap, with plans for additional professional development and the integration of AI literacy into curriculum frameworks beginning in the 2026-27 school year. 🔗 Link to Article: https://lnkd.in/evD59xSx 📚 The AI Policy Newsletter: https://lnkd.in/eS8bHrvG 🌐 Learn more about Duco: https://lnkd.in/dYjyKhBd