Educational Design Models

Learning flourishes when students are exposed to a rich tapestry of strategies that activate different parts of the brain and heart. Beyond memorization and review, innovative approaches like peer teaching, role-playing, project-based learning, and multisensory exploration allow learners to engage deeply and authentically. For example, when students teach a concept to classmates, they strengthen their communication, metacognition, and confidence. Role-playing historical events or scientific processes builds empathy, critical thinking, and problem-solving. Project-based learning such as designing a community garden or creating a presentation fosters collaboration, creativity, and real-world application. Multisensory strategies like using manipulatives, visuals, movement, and sound especially benefit neurodiverse learners, enhancing retention, focus, and emotional connection to content. These methods don’t just improve academic outcomes they cultivate lifelong skills like adaptability, initiative, and resilience. When teachers intentionally layer strategies that match students’ strengths and needs, they create classrooms that are inclusive, dynamic, and deeply empowering. #LearningInEveryWay

Co-teaching or Team Teaching: #One Teach, One Observe 🔹 How to Implement: One teacher leads the instruction while the other observes specific student behaviors, participation, or learning outcomes. Pre-plan what to observe and how to use the data. 🔹 Example: In a Grade 5 science class, Teacher A teaches a lesson on ecosystems while Teacher B observes how ELL students engage with the vocabulary. After class, both reflect on supports needed. #One Teach, One Assist 🔹 How to Implement: One teacher instructs, while the other circulates to help individuals or small groups. Focus support on students with IEPs, ELLs, or those struggling with content. 🔹 Example: During a math lesson on fractions, one teacher delivers the concept while the other supports students who are behind or need translation into their native language. # Station Teaching 🔹 How to Implement: Divide the class into small groups and rotate them between different stations, each led by a teacher or working independently. Plan each station to target different aspects of the same topic. 🔹 Example: In a middle school English lesson on persuasive writing: Station 1: Brainstorming ideas (teacher-led) Station 2: Sentence starters and structure (teacher-led) Station 3: Peer editing (independent) #Parallel Teaching 🔹 How to Implement: Split the class into two groups; each teacher teaches the same material simultaneously. Great for large groups or when you want more participation. 🔹 Example: In a history class, each teacher teaches a group about the causes of World War I. Smaller groups allow more debate and questioning. #Alternative Teaching 🔹 How to Implement: One teacher works with a larger group while the other pulls a smaller group for remediation, enrichment, or assessment. Rotate students across weeks based on needs. 🔹 Example: During a reading comprehension unit, one teacher re-teaches inference skills to struggling readers while the other leads a discussion with the rest of the class on figurative language. #Team Teaching (Tag Team) 🔹 How to Implement: Both teachers actively instruct together, sharing the stage and exchanging ideas during the lesson. Requires high collaboration and mutual respect. 🔹 Example: In a Grade 9 integrated science and math project, both teachers model how to collect data during a science experiment and use statistics to analyze results. #Best Practices for Implementation ✅ Plan Together Regularly Use co-planning time to align objectives, strategies, roles, and assessments. ✅ Define Roles Clearly Decide who leads, who supports, and how transitions will be handled during lessons. ✅ Differentiate Instruction Use collaborative settings to better meet diverse learning needs. ✅ Reflect and Adjust After each lesson, debrief together on what worked and what didn’t. ✅ Maintain Consistent Communication Use tools like shared digital planners, Google Docs, or apps to stay aligned.

My daughter was bored in high school. Here is the model she wished existed. While we debate AI in K through 12, a few operators are building. MacKenzie Price at Alpha Schools is shipping a full school solution. Ulrik Juul Christensen and the team at Area9 Lyceum provides an adaptive learning platform districts, networks, and universities can deploy. The latest Possible podcast episode with Reid Hoffman and Aria Finger explores how this can work at scale. The shift that matters most Teachers focus on coaching, mentorship, and motivation. AI runs in the background, handling pacing, diagnostics, and feedback. That is how we bring more humanity back into the classroom. Life skills we are missing, and why it matters When my daughter was in high school, she and her classmates were asking for real life skills during the school day. Not as electives, as essentials. This can be a game changer for the future workforce and for families. • Personal finance and taxes. Budgeting, credit, fraud prevention, and tax basics. Make this universal and measurable. • Home economics for all. Cooking, nutrition, sewing and repair, household planning, and basic safety. • Communication and public speaking. Rehearsal, structured feedback, presence, and storytelling. Employers still flag this as a top gap. • Media and digital literacy, the Norway model. Norway bakes critical thinking and source evaluation into its LK20 curriculum and uses classroom ready fact checking lessons through Faktisk.no’s Tenk program. Treat this as a core strand in every grade. Why this matters now: models like Alpha compress core academics with AI guided mastery in the morning, then use the afternoon for projects, teamwork, and real coaching. Alpha is the whole school example. Area9 Lyceum is the platform path for existing schools. What stands out • Time shift, better outcomes. Two hours on core academics, then life skills, projects, and teams in the afternoon. • Evidence loop. Adaptive assessments feed individualized plans that change what students do next. • Teacher economics in the open. Pay coaches well. Alpha lists guide roles at 100K per year. • Platform cost today, down tomorrow. Alpha cites a meaningful 10K per student AI platform cost today, with room to decline as the technology matures. • Solution versus platform. Alpha is a complete school model. Area9 Lyceum is a deployable adaptive learning platform used across sectors. What to watch Access and affordability at scale. Independent, multi year results across diverse communities. Robust data governance and age appropriate guardrails. Facilities and zoning. A sustainable path for teacher development as coaches. Grateful to Aria and Reid for putting this conversation on center stage and drawing out the builders doing the work. I will add sources and the podcast link in the comments. Open to thoughtful debate.

For over a century, the core of our education system has been built on a simple premise: knowledge transfer.    The teacher has the information, and the student's job is to acquire and retain it.    The age of AI is rendering that model obsolete overnight.   When every student has access to a tool that can instantly summarize complex theories, write elegant prose, and solve difficult equations, the value of simple knowledge retention plummets.    The debate over banning these tools in classrooms completely misses the point. It’s like trying to ban the calculator in the 1980s.   The real, far more urgent question is: What is school for, when the answers to everything are instantaneous?   💡 Critical Thinking & Discernment: The ability to evaluate the information AI provides, spot biases, and separate signal from noise.   💡 Creative Synthesis: The art of connecting disparate ideas in novel ways to create something entirely new.   💡 Ethical Reasoning: The wisdom to wield these powerful tools responsibly and with integrity.   💡 Incisive Questioning: The skill of formulating the perfect prompt or inquiry that unlocks a deeper level of insight.   We are moving from a world that rewards knowing the answer to a world that rewards knowing what question to ask.    Our challenge as leaders and parents is to redesign our educational framework. We must cultivate a generation of critical, creative, and ethical thinkers who see AI as a catalyst for deeper learning and innovation.

An innovative approach to teaching economics that puts student learning first! As an economics educator, I've redesigned my ECO 100-semester project to embrace Universal Design for Learning (UDL) principles, offering students multiple pathways to demonstrate their understanding of macroeconomics. I was encouraged by Jeni Al Bahrani and her summer project on UDL as part of her doctorate degree to bring back this project. Students can choose from three engaging options: * Create a physical art piece interpreting economic concepts through visual expression * Compile an "EconSelfie" diary connecting real-world observations to classroom theories * Write a critical book review analyzing contemporary economic literature. This semester’s choices were Kyla Scanlon’s “In this Economy?” or Scott Galloway‘ “Algebra of Wealth”. This flexible approach: * Accommodates different interests * Empowers student choice and engagement * Maintains academic rigor while fostering creativity * Makes economics accessible and relevant to everyday life The results? Students are more engaged, demonstrate deeper understanding, and develop unique perspectives on economic principles. Seeing how different creative approaches can unlock complex economic concepts is amazing! I'm particularly proud of how this project breaks down barriers in economics education while maintaining high academic standards. Each option requires critical thinking and authentic application of course concepts. I am appreciate the innovative business education environment we have created at NKU Haile College of Business What innovative teaching methods have you implemented in your classroom? Let's share best practices! You can read more about my research in this area in my newsletter. Link in comments. #TeachEcon #UniversalDesign #HigherEducation #TeachingInnovation #StudentSuccess #UDL #EconomicLiteracy

Machine learning applications rarely stay static—they evolve. What begins as a simple baseline often grows into a multi-stage system shaped by scale, data complexity, and real-world constraints. In this tech blog, the engineering team at Shopify explains how their product classification system evolved as the platform scaled. The journey unfolds across three distinct stages, each with its own technical character. - Stage one focused on a traditional machine learning baseline: logistic regression with TF-IDF features built purely on product text. It was simple, interpretable, and efficient—a practical starting point. - Stage two introduced a multimodal approach, combining both text and image signals within a single model. This significantly improved accuracy, especially when product descriptions were incomplete or ambiguous. However, it remained largely a task-specific classifier trained on a fixed taxonomy. - Stage three marked a shift toward vision-language models. Instead of simply mapping inputs to predefined labels, these models learn richer semantic representations by aligning images and text in a shared embedding space. This enables deeper product understanding and better generalization as taxonomies evolve and new product types emerge. The key takeaway is that real-world machine learning systems mature in layers. You don’t jump straight to the most sophisticated model. Instead, you iterate—balancing accuracy with scalability—and design systems that can adapt as the business grows. #DataScience #MachineLearning #Classification #Evolution #Iteration #SnacksWeeklyonDataScience – – –  Check out the "Snacks Weekly on Data Science" podcast and subscribe, where I explain in more detail the concepts discussed in this and future posts:    -- Spotify: https://lnkd.in/gKgaMvbh   -- Apple Podcast: https://lnkd.in/gFYvfB8V    -- Youtube: https://lnkd.in/gcwPeBmR https://lnkd.in/gYuU_dNT

A year ago I shared a framework called GROWTH™. It didn’t perform particularly well. Which is funny, because over time it’s become one of the models I rely on most when designing learning experiences. Most training programs are built as courses. But the way people actually develop capability looks very different. Progress happens across a series of experiences—practice, feedback, reflection, and iteration. In other words, it happens through a learning journey, not a single event. The GROWTH framework is a way to design those journeys more intentionally. It breaks the process into six stages: G — Goal Setting R — Research & Empathy O — Outline the Experience W — Work in Layers T — Test & Adapt H — Highlight Progress Over the past year, I revisited the framework, expanded it, and turned it into a practical guide with examples, worksheets, and a full case study on redesigning onboarding as a learning journey. I also realized something interesting. GROWTH is actually one of the foundational pieces behind another model I’ve been developing called The Academy Engine™, which focuses on building scalable learning ecosystems. If the Academy Engine explains how education systems operate, GROWTH focuses on how the learning journey itself should be designed. If you’d like the full guide and templates, you can download it below. Curious how others think about this. When you design learning, do you think in terms of courses or journeys?

Why do some training programs create real transformation, while others fade before the next team meeting? I recently joined Bill Banham on The Voices of the Learning Network Podcast to unpack this question and preview my keynote at this year’s Connect Conference. The answer lies in neuroscience: the brain’s architecture defines how we learn, remember, and apply. When organisations ignore that, even the best-designed programs fail to leave a trace. Listen to the full conversation here: https://lnkd.in/en5cKVFE Overload vs. Effectiveness Many organisations fall into what I call the “efficiency trap.” They design training for the facilitator’s convenience, not the learner’s brain. Our brains don’t thrive under marathon sessions or dense slide decks. They need rhythm, variety, and rest. The science is clear: • Shorter, spaced sessions improve consolidation and memory. • Multimodal design (visuals, discussion, application) keeps engagement high. • Deliberate downtime activates the brain’s default mode network — where meaning forms. It’s not about more information. It’s about designing conditions for real change. Behaviour Change, Not Just Courses Too often, the answer to every performance problem is “build another course.” But knowledge alone doesn’t drive change, behaviour does. Effective learning experiences include: • Experience-based triggers that prompt action. • Social reinforcement to sustain new habits. • Retrieval practice to strengthen recall and confidence. When you shift from course completion to behaviour activation, learning stops being an event; it becomes a habit. Navigating AI and Automation AI brings both opportunity and risk. If we outsource too much thinking, we weaken the neural pathways that make us adaptable and creative. Some guiding principles I shared on the show: • Use AI to augment critical thinking, not replace it. • Design friction points that encourage reflection. • Give early-career learners space to build expertise before automation takes over. AI can enhance learning, but only when we keep the human brain at the center. Whole-Brain Design in Action At Synaptic Potential, we’ve seen organisations transform by embedding neuroscience into learning strategy. One global firm reshaped C-suite culture by introducing neuroscience-based reflection tools that transformed how leaders approached feedback. Another redesigned performance reviews to make them more constructive and less stressful, boosting engagement and trust. These results didn’t come from adding more content, but from aligning with how people actually learn. A Field Guide for Learning That Lasts If you’re in L&D or leadership, your challenge isn’t just to deliver information, it’s to create change that endures. That starts with respecting how the brain learns, consolidates, and grows. Because when we design with the brain in mind, learning doesn’t just stick, it scales.

🧠 Is Your Workplace Designed for Everyone—Or Just the Majority? 👀 Imagine this: A brilliant new hire is ready to contribute—but the tools, meetings, and environment weren’t built with their needs in mind. They’re not underperforming. They’re under-accommodated. ➡️ And this is exactly where universal design comes in. 💡Universal design is not about making special exceptions. It’s about building inclusion into the very foundation of your workplace. When we design with everyone in mind from the start, regardless of ability, background, or communication style, we don’t just accommodate; we empower. This approach transforms workplaces from reactive to proactive, from surface-level compliance to deep systemic inclusion. And here’s the truth many leaders are realizing: 👉 👉 True inclusion isn’t about making room—it’s about designing a workplace where no one is ever left out to begin with. 🛠️ Below are 5 ways to start embedding universal design into your organization: ✅ Audit accessibility – Regularly evaluate your digital tools, websites, and physical workspaces. ✅ Invest in inclusive technology – Use platforms that work seamlessly with screen readers, voice input, and other assistive tools. ✅ Diversify communication – Incorporate alt-text, audio descriptions, and transcripts; avoid relying solely on visuals. ✅ Train your teams – Equip staff and leaders with practical tools and mindsets that promote inclusion. ✅ Institutionalize it – Update hiring practices, performance reviews, and promotion paths to reflect inclusive values. 🧠 These changes don’t just benefit one group—they improve the experience for everyone—and that is the brilliance of universal design. 🏆 The Payoff: Equity that drives engagement and innovation. Organizations that embrace universal design consistently see: ✔️ Higher employee satisfaction ✔️ Better team collaboration ✔️ Greater innovation (because diverse perspectives are heard and valued) ✔️ Lower turnover and higher retention 🔥 The hidden cost of exclusion isn’t just about morale—it’s about missed potential, lost innovation, and the quiet departure of voices we never truly heard. When systems, tools, and environments aren’t built with inclusion in mind, we don’t just create inconvenience—we create barriers. And those barriers silently push away the very talent we say we want to attract and retain. Universal design flips that script. It ensures that everyone, not just the majority, can participate, contribute, and thrive from day one. 🎓 Ready to Take Action? Start With Our Signature Workshop “Working with Diverse Physical and Mental Ability.” 📩 Message me to learn how we can bring this powerful session to your team. #UniversalDesign #InclusiveWorkplaces #ChampionDiverseVoices #Neurodiversity #BelongingByDesign #AccessibilityMatters

When Teams Grow, Design Their Experience: An LXD Perspective. Rapid growth is often celebrated as a marker of success. Teams expand, business objectives increase, and new responsibilities are introduced. Yet growth often comes faster than the systems and processes that support it , leaving teams misaligned, overwhelmed, and disengaged. A sales team I worked with had grown from 10 to 25 members over six months. While expansion brought exciting opportunities , it also introduced a host of challenges: 📝 Increased administrative work and reporting requirements 📅 More frequent meetings for alignment across an expanded team 🎯 Higher performance expectations and KPIs ❓ Ambiguity in roles and responsibilities as new members joined Despite their enthusiasm and capability, the team began reporting stress, confusion, and a sense of constant pressure. From a Learning Experience Design perspective, processes that worked for a smaller team often do not scale without adjustment. The team’s capacity their available time, attention, and cognitive bandwidth did not expand in line with expectations. Role ambiguity and overlapping responsibilities created duplication of effort and accountability gaps. Here came an opportunity to redesign the team’s capacity and learning ecosystem rather than simply redistribute tasks. Key interventions included: 🔍 Conduct a Capacity Audit: Every task, meeting, and reporting requirement was analyzed to identify bottlenecks, duplication, and low-value activities. 📌 Prioritize Strategic Work: Non-essential tasks were delegated or removed. Core responsibilities aligned with business impact were clearly highlighted. ⚙️ Redesign Processes: Reporting templates were streamlined, recurring meetings reduced, and approvals standardized to reduce friction. 💡 Embed Reflection and Learning: Weekly “team retrospectives” were introduced, where team members shared wins, challenges, and lessons learned, enabling process improvement and knowledge transfer. 🧩 Clarify Roles and Responsibilities: Each team member’s tasks and ownership were mapped, eliminating overlap and increasing accountability. The results were striking. Performance stabilized as team members could focus on fewer, high-impact activities. Engagement increased 💪 because individuals felt their work mattered, and they had the space to contribute strategically rather than simply execute. Teams are more than output machines they are human systems. Rapid expansion can overwhelm these systems if we fail to consider capacity, clarity, and reflection. Designing growth with empathy and learning in mind ensures that teams remain motivated, skilled, and aligned. Ultimately, success comes not from doing more, but from doing better, together 🤝. #microlearning #learningeveryday #learningwithhiral #LearningExperienceDesign #EmployeeEngagement #Leadership #TeamDevelopment #ContinuousLearning #TeamCollaboration #LeadershipDevelopment