In a world saturated with information, helping students think clearly and critically has never been more urgent. This course equips educators with strategies to teach media literacy and critical thinking in tandem—skills essential for navigating today’s digital landscape. Participants explore how to guide learners in evaluating sources, identifying bias, analyzing persuasive techniques, and forming reasoned conclusions. Along the way, they’ll learn to use AI as a partner—not a crutch—to surface patterns, prompt inquiry, and strengthen cognitive rigor. Rooted in thoughtful pedagogy, this course prepares educators to cultivate discerning thinkers who are empowered to question, reflect, and engage with media intentionally.

Innovation in the classroom begins with empathy, curiosity, and a willingness to rethink the status quo. This course explores how design thinking—paired with the power of AI—can help educators co-create meaningful solutions alongside their students. Participants learn to identify real needs, prototype creative responses, and integrate AI tools to support personalization, insight gathering, and rapid iteration. Grounded in student-centered practices, this course offers practical strategies to help educators transform classroom challenges into opportunities for collaborative, future-ready learning.

AI can spark creativity, boost efficiency, and reimagine how we support learning—but only when used with care and clarity. This course offers a hands-on introduction to generative AI tools, helping educators explore practical ways to streamline tasks, design engaging materials, and enhance professional workflows. Alongside technical skills, educators develop a critical lens for using AI ethically and responsibly, ensuring that innovation always serves student-centered, pedagogically grounded goals.

AI should support—not shortcut—the learning process. This course explores how emerging technologies can enhance assessment design without compromising academic integrity or student agency. Educators learn how to align assessments with learning goals, generate meaningful feedback, and streamline formative and summative assessment practices using AI tools. Grounded in evidence-based pedagogy, this course invites educators to integrate AI in ways that elevate critical thinking, deepen learning, and honor the complexity of human judgment in education.

Real-world learning thrives at the intersection of inquiry, collaboration, and relevance. This course explores how AI can deepen and personalize Project-Based Learning (PBL), helping educators design experiences that are both student-driven and strategically supported. Participants learn how to use AI to scaffold research, surface insights, differentiate instruction, and support reflection—without overshadowing the authentic, human-centered work at the heart of PBL. The result: more empowered learners, stronger real-world connections, and classroom projects that prepare students for a future shaped by both creativity and emerging technologies.

Effective classroom management is rooted in relationships, reflection, and repair—not just rules. This course introduces a restorative approach that prioritizes community-building, student voice, and social-emotional growth. Educators explore how AI can support this work by helping track behavior patterns, surface insights, and personalize interventions—without losing the human-centered heart of the practice. Through proactive strategies and inclusive tools, this course equips educators to foster learning environments where every student feels seen, respected, and empowered to grow.

STEM education is about curiosity, creativity, and solving real-world problems—and AI can help bring these elements to life in powerful new ways. This course equips educators to integrate AI into STEM instruction through research-backed approaches like the 5E framework, engineering design, phenomena-based learning, biomimicry, Maker spaces, and data-driven experimentation. Participants explore how AI can support student questioning, scaffold design challenges, personalize career exploration, and enhance data analysis—while keeping learners at the center. The result is a more dynamic, equitable, and future-ready STEM classroom where technology serves learning, not the other way around.

Supporting students’ emotional well-being is foundational to effective teaching—and AI can help amplify that support when used with care and intention. This course explores how AI can enhance Social Emotional Learning (SEL) by helping educators foster empathy, resilience, and self-awareness while maintaining a strong human connection at the core. Participants engage with practical tools like AI-assisted journaling, role-play simulations, and data reflection prompts, all designed to enrich SEL without replacing the teacher’s role. Grounded in equity and ethics, this course empowers educators to create emotionally responsive learning environments where all students feel seen, supported, and capable of thriving.

Designing for all learners is both a pedagogical commitment and a creative opportunity—and AI can help expand what's possible. This course explores how educators can apply the principles of Universal Design for Learning (UDL) while leveraging AI to increase access, engagement, and flexibility in the learning experience. Rather than using AI as a one-size-fits-all solution, participants learn to use it as a tool to design more inclusive, responsive, and personalized learning environments. Rooted in research and driven by empathy, this course helps educators reimagine what equitable instruction can look like in the age of AI.

Immersive learning environments open the door to new dimensions of engagement, exploration, and connection. This course invites educators to explore the potential of the metaverse to create rich, experiential learning opportunities that extend beyond the traditional classroom. Grounded in sound pedagogy, participants examine how virtual worlds can support collaboration, creativity, and personalized learning—while remaining thoughtful about access, safety, and instructional design.

The future of education will be shaped by how we manage identity, ownership, and governance—and Web3 offers a powerful toolkit for reimagining these foundations. This course provides educators with a practical, systems-level introduction to blockchain, digital credentials, and decentralized decision-making. Participants explore how these tools can enhance trust, transparency, and learner agency across school communities. With an emphasis on equity, interoperability, and pedagogical alignment, the course empowers educators to engage with Web3 not as a trend, but as a transformative shift in how education can work.