Designing Effective Learning Environments

As a first in family student, stepping into university life (many, many years ago) felt daunting. I didn’t know the ‘rules’ or the language, and I carried around a quiet fear that I didn’t quite belong. Over time, I found that sense of belonging, largely through my experience living on campus in student accommodation. It was there that I built friendships, found mentors, and slowly came to understand that belonging isn’t something you either have or don’t have, it’s something that can be nurtured. That's why this recent research on student belonging resonated with me. It moves beyond the usual talking points and gets to the heart of what really helps students feel they belong, especially those from underrepresented backgrounds. A few actions that stood out as both meaningful and at times overlooked: 1️⃣ Connecting students to purpose and identity Academic success isn’t just about essays and exams. When we value lived experience and non-traditional learning, students feel seen. We can do this by asking students to reflect on real-world challenges in assessments or connecting learning to their own contexts.   2️⃣ Prioritising relationship-building in the curriculum and throughout Not just during orientation, but throughout the semester via peer mentoring, collaborative problem solving in class, and structured opportunities for students to connect meaningfully with one another. 3️⃣ Making uncertainty visible Students often think they’re the only ones struggling - tutors and academics can and should talk openly about academic challenges, and leaders can acknowledge that confidence and learning those unwritten 'rules' builds over time. Staff who share their own learning journeys can have a huge impact and kindness, respect and genuine interest can go a long way.   4️⃣ Designing for diverse student needs and barriers Not all students want, or are able, to join clubs or attend social events due to work, caring responsibilities, or other factors. Offering flexible, low-barrier opportunities to connect (like online forums or drop-in chats), designing learning experiences with multiple ways to engage, and considering time-poor or commuter students in planning should be non-negotiables. As this article highlights, belonging doesn’t come from a single program, initiative or activity – and it isn’t one size-fits-all. It comes from hundreds of small cues that tell a student: You matter. You’re capable. You are welcome here. Because of this, all staff, can play a key role in facilitating micro-moments of connection. 🔗 Read the full article: https://lnkd.in/ghTeHkxg

I can't stop thinking about these two graphics, do you see what I see? The first shows 84% of the world has never used AI. The green, yellow, and red dots you can barely see at the bottom? That's everyone who has. The second is from Brookings' Disengagement Gap research. It maps how students experience learning across four modes: Resister, Passenger, Achiever, and Explorer. Explorers make up 5-11% of students. Look at both graphics again. Are the Explorers and those tiny colored dots the same people? I think they are. We've spent decades focused on teaching students what to think and how to think. Thinking matters. What I'm saying is that thinking was never the root cause of learning. Agency is. Agency is the skill and will to set meaningful goals and adapt when things don't work. It's what separates an Explorer from a Passenger. It's what separates someone who builds with AI from someone who's never opened ChatGPT. And in 2026 we're watching agency advance in AI faster than any other capability. The machines are developing the very quality we've been struggling to cultivate in humans. So how do we build it? Nord Anglia Education just published findings from a study across 29 schools in 20 countries with 12,000 students. Their research with Boston College found that daily use of Visible Thinking Routines drove gains of 40-50% in curiosity, compassion, and critical thinking. These are simple, structured prompts from Harvard's Project Zero. "I used to think... now I think..." or "What makes you say that?" They make invisible thinking visible. And when students can see their own thinking, they start owning it. That's metacognition. Metacognition is the engine of agency. I've paired Visible Thinking Routines alongside every technology I've ever introduced. The results never fail. When you make thinking visible before you make productivity possible, people don't just use the tool. They understand why. This isn't rocket science. Every educator can do this. Every parent can do this. We don't have an AI problem. We don't have a technology problem. We don't have a critical thinking problem. We have an agency problem. This is what we teach inside The Human-Centered AI Classroom. Rebecca Winthrop

AI is reshaping the future of learning, not by replacing educators, but by amplifying human potential. I just read Google’s new position paper on 'AI and the Future of Learning', and several points resonate strongly with my own experiences in e-learning, agentic AI, and responsible innovation. Key takeaways for educators, learning designers and AI practitioners:- 1. Human-in-the-loop matters:- AI should empower teachers and learners, not supplant them. Educators remain central in designing, customizing, and supervising AI tools. 2. Personalized, adaptive learning:- AI can meet learners where they are, adapt to their pace, strengths, and needs, especially powerful in large scale or resource-constrained settings. 3. Ethics, fairness, transparency:- Tools must be built responsibly, transparent about data usage, bias, and decisions. Learners, teachers, and their families should understand how AI arrives at suggestions and always have recourse. 4. Skills for the future:- Beyond knowledge recall, education needs to foster curiosity, metacognition, collaboration, and lifelong learning. AI becomes a partner in cultivating how we learn, not just what we learn. As someone who leads e-learning and agentic AI initiatives (and working on courses / frameworks for learning system design), here are some reflections:- 1. Design with pedagogy first:- When building courses or tools, we must anchor in learning science and best practices. Agents or AI modules should align with what we know about how people learn, including cognitive load, scaffolding, and feedback loops. 2. Build with practitioners:- Co-design with educators ensures the AI tools remain grounded in context, and helps avoid misalignment or unintended biases. 3. Measure impact holistically:- Beyond completion or test scores, we should evaluate growth in learner agency and self regulation, especially for adult learners or professionals. 4. Scale responsibly:- The potential for scaling personalized learning is huge, but we must not lose sight of the social, cultural, and equity aspects of learning design. 🧭 In my upcoming course on Augmenting Collective Intelligence via Autonomous Agents + Human Experts, I'll integrate several of these insights:- embedding AI tutors in training, designing feedback loops, and ensuring alignment with ethical & pedagogical frameworks. 💡 Question for my network:- How are you balancing AI tool adoption in education or training environments while preserving educator control, equity, and learner agency? Would love to hear your experience or frameworks that are working. #AI #EdTech #LearningDesign #AgenticAI #LifelongLearning #InstructionalDesign #AIgovernance

🤔 How might you infuse more experiential elements into even the most standard Q&A session? This was my question to myself when wrapping up a facilitation course for a client that included a Q&A session. I wanted to be sure it complemented the other experiential sessions and was aligned with the positive adjectives of how participants had already described the course. First and foremost - here is my issue with Q&As: 👎 They are only focused on knowledge transfer, but not not memory retention (the brain does not absorb like a sponge, it catches what it experiences!) 👎 They tend to favor extroverts willing to ask their questions out loud 👎 Only a small handful of people get their questions answered and they may not be relevant for everyone who attends So, here is how I used elements from my typical #experiencedesign process to make even a one-directional Q&A more interactive and engaging: 1️⃣ ENGAGE FROM THE GET-GO How we start a meeting sets the tone, so I always want to engage everyone on arrival. I opted for music and a connecting question in the chat connected to why we were there - facilitation! 2️⃣ CONNECTION BEFORE CONTENT Yes, people were there to have their questions answered, but I wanted to bring in their own life experience having applied their new found facilitation skills into practice. We kicked off with breakout rooms in small groups to share their own experiences- what had worked well and what was still challenging. This helped drive the questions afterwards. 3️⃣ MAKE THE ENGAGEMENT EXPLICIT Even if it was a Q&A, I wanted to be clear about how THIS one would be run. I set up some guidelines and also gave everyone time to individually think and reflect what questions they wanted to ask. We took time with music playing for the chat to fill up. 4️⃣ COLLABORATIVE LEARNING IS MOST IMPACTFUL Yes, they were hoping to get my insights and answers, however I never want to discredit the wisdom and lived experience in the room. As we walked through the questions, I invited others to also share their top tips and answers. Peer to peer learning is so rich in this way! 5️⃣ CLOSING WITH ACTIONS AND NEVER QUESTIONS The worst way to end any meeting? "Are there any more questions?" Yes, even in a Q & A! Once all questions were answered, I wanted to land the journey by asking everyone to reflect on what new insights or ideas emerged for them from the session and especially what they will act upon and apply forward in their work. Ending with actions helps to close one learning cycle and drive forward future experiences when they put it to the test! The session received great reviews and it got me thinking - we could really apply these principles to most informational sessions that tend to put content before connection (and miss the mark). 🤔 What do you think? Would you take this approach to a Q&A? Let me know in the comments below👇 #ExperienceLearningwithRomy

Don’t blow your AI adoption plans with poor online training or boring one way videos. If you’re rolling out AI training virtually, your facilitators need more than subject expertise. They need to actually know how to train well online. Because here’s the uncomfortable truth: - Being great in a room doesn’t mean you’re great on Zoom or Teams. - Virtual delivery is a different skillset, a different rhythm, a different way of skill building. - And nothing kills AI confidence faster than a dull, passive virtual session. Strong virtual AI training needs: - Clear structure and tight pacing - High energy facilitation (without being cheesy) - Real interaction, not just breakout rooms or ‘any questions?’ - Smart use of tools, polls and getting tye group to share - A mindset shift from ‘I’m presenting’ to ‘I’m orchestrating’ If you want people to take AI seriously, make sure your trainers can deliver in the environment you’re asking people to learn in. Don’t teach the future with yesterday’s methods. Want to learn more? Click on the link in the comments to access our virtual trainer upskill programmes.

The brain doesn’t learn best when it’s stressed. It learns best when it feels safe, seen, and supported. Yet traditional education still leans on pressure, fear of failure, and high-stakes evaluation to drive performance. The result? Children might remember content, but often forget how to enjoy learning altogether. At Dreamtime Learning, we approach it differently. We design for flow: the state where focus deepens, time disappears, and learning feels both natural and energising. But flow doesn’t happen by accident. It’s built on emotional safety. Neuroscience tells us that when a child is anxious, their brain is in survival mode. The prefrontal cortex–the part that is responsible for focus, creativity, and decision-making, takes a back seat. But when a child feels emotionally secure, the brain opens up. Curiosity kicks in. Memory improves. Learning becomes fluid, not forced. That’s why we prioritise psychological safety in every part of our learning environment. Children are encouraged to take intellectual risks without fear of judgment. Mistakes are treated as stepping stones, not setbacks. Facilitators listen more than they lecture. Peer dialogue is open, respectful, and reflective. When fear steps out of the room, learning steps in. And what emerges isn’t just better cognitive performance. It’s joy, self-trust, and a sense of agency that stays with the child long after the lesson ends. ✨ Follow Lina Ashar for more insights on how Dreamtime Learning is designing emotionally intelligent classrooms for deeper, more joyful learning. #LinaAshar #DreamtimeLearning #Joy #Self #Education #School #Children #Memory #Curiosity #Neuroscience

The Inconvenient Truth About Learning Design: From Content to Context As we delve deeper into the realms of education and professional development, there is an undeniable shift taking place. Many organizations still cling to the age-old idea that providing an abundance of content equates to effective learning. However, the inconvenient truth is that this approach is no longer sufficient. It’s time to move from content saturation to context-driven learning! The crux of effective learning design lies not just in the "what" but in the "how" and "why." Here are a few key insights on how this paradigm shift can redefine our strategies: 1. Understanding the Learner's Journey: Contextual learning begins with understanding the backgrounds, experiences, and challenges learners face. Tailoring content to real-world scenarios allows for a deeper connection and better retention. 2. Emphasizing Application Over Memorization: In a world filled with information, the capacity to apply knowledge in practical ways is paramount. When learning experiences are grounded in relevant contexts, they become not just theoretical but transferrable to real-life situations. 3. Creating Collaborative Environments: A learning design focused on context encourages interaction and collaboration. By facilitating a space where learners can share experiences and insights, we promote a richer, more diverse learning ecosystem. 4. Measuring Impact, Not Just Engagement: It's not enough to just collect data on how many people viewed your content. The real metric of success is the transformation that occurs— how the knowledge is applied and what changes result from it. 5. Iterative Learning Experiences: The journey of context-driven learning should be continuous. Regular feedback and refinement help ensure that learning experiences constantly evolve to meet the dynamic needs of learners. The future of learning design isn’t just about filling minds with information; it’s about creating meaningful, contextual experiences that inspire change. As we embrace this shift, let us challenge ourselves: how can we design learning experiences that go beyond content and truly resonate with our audiences? I invite you to share your thoughts below on how we can move from content to context in our learning approaches. Your insights could be the catalyst for someone else's journey! #LearningDesign #ContextOverContent #Education #ProfessionalDevelopment #LifelongLearning #LearningStrategies

No More Backbenchers! A simple shift in classroom seating—triggered by a Malayalam film—is sparking a real movement in Kerala schools. Today's article in The Times Of India reports this case of reel affecting change in real! Traditional rows of benches are built for passive listening. We've all grown up in school where one person talks, the rest receive. But learning doesn’t happen in a straight line—it happens in spirals, sparks, and shared stories. What if our classrooms reflected that? Flexible seating isn’t just a design choice—it’s a pedagogical statement. It tells children: “Your voice matters. Your way of learning is valid.” From U-shaped arrangements to open circles, bean bags, standing desks, and learning nooks, schools across the world are waking up to this truth: The way we seat children can shape the way they think, collaborate, and grow. Why does this matter? - It fosters small group collaboration and peer learning. - It enables pair work and student-led exploration. - It allows for quiet corners and reflective time. - It frees the teacher from the “front”—and places them in the center, as a facilitator. - It breaks down power hierarchies. Everyone is equal. No stigma about where you sit. As Dr. U Vivek notes in the article, “This new arrangement gives the teacher a bird’s eye view… but more importantly, it gives each child the space to be seen, heard, and understood.” Flexibility in seating reflects flexibility in thinking. In fact, school designers and architects like Rosan Bosch have long championed learning spaces that are modular and organic—environments that invite movement, creativity, and play. Her work with Vittra School in Sweden is a powerful reminder that space IS a teacher. Similarly, Danish Kurani's work in school design emphasises the need for voices of practitioners and students in the design process. He believes that new teaching methods can't be adopted without the change in the classroom design. Similarly, the STUDIO SCHOOLS TRUST in the UK, the Reggio Children (Reggio Emilia) approach in Italy, and Big Picture Learning schools in the U.S. all embrace flexible learning environments. These aren’t “alternative” anymore—they are becoming essential. If we want to create classrooms of curiosity, critical thinking, and compassion—let’s begin with the seating. It’s not about removing backbenchers. It’s about removing the very idea of front and back. And here’s the best part—this is the lowest-stakes ‘edtech’ upgrade we can make. No fancy gadgets, no big budgets. Seems like a no-brainer to me! Let’s stop teaching. Let’s start facilitating. Let’s redesign learning—one seat at a time.

Can environment completely change a child's relationship with reading? Yes! Contemporary libraries for children are proving this by replacing the traditional model with dynamic, flexible, and sensorially rich spaces. The result? Children who previously resisted reading start asking to stay longer. Neuroarchitecture explains why. The child's brain responds intensely to environments that offer choice, autonomy, and perceptual novelty. When a child can choose where and how to read, they activate brain reward systems. The space stops being passive and becomes an active part of the learning process. Winthrop Library (United States) incorporated a sculptural "learning tree." Hebi Library (Shanghai) created shelves with inhabitable "caves." Pingtan Book House (China) combined reading and play. Each project shows how design can transform behaviors and spark curiosity. The design of a children's space is not a detail. It's cognitive stimulus, sensory invitation, and learning experience in formation. Reference: Iñiguez, A. (2024, August 22). Bibliotecas para crianças: dinamismo, flexibilidade e adaptabilidade nos interiores [Libraries for children: dynamism, flexibility and adaptability in interiors]. ArchDaily Brasil.

Today, I witnessed something extraordinary in my classroom that challenged everything we think we know about AI in education. Instead of handing students a rigid playbook of dos and don'ts with AI, I decided to flip the script entirely. Since summer, I've watched the endless parade of methodological frameworks and usage guidelines sweep through education. Each promising to be the "right way" to integrate AI into learning. But today, we tried something radically different. I simply asked my students to use AI to brainstorm their own learning objectives. No restrictions. No predetermined pathways. Just pure exploration. The results? Astonishing. Students began mapping out research directions I'd never considered. They created dialogue spaces with AI that looked more like intellectual partnerships than simple query-response patterns. Most importantly, they documented their journey, creating a meta-learning archive of their process. What struck me most was this: When we stopped fixating on the tangible "products" of AI interaction and instead centered on the mental maps being developed, something magical happened. Some might say this approach is too unstructured, too risky. But consider what we're gaining: 1. Metacognitive development: Students are thinking deeply about their own learning process 2. Agency and ownership: They're designing their own educational pathways 3. Critical navigation skills: Learning to chart courses through AI-enhanced knowledge spaces 4. Creative confidence: Freedom to experiment without fear of "wrong" approaches 5. Future-ready adaptability: Building skills to work with evolving AI systems We're not just teaching students to use AI – we're empowering them to design their own learning ecosystems. The focus isn't on what appears on the screen, but on the neural pathways being forged, the cognitive frameworks being built. Watching these students navigate this space, I'm reminded that the future of education isn't about controlling AI use – it's about nurturing the wisdom to use it well. We need to trust our students' capacity to be architects of their own learning journeys. The real breakthrough happens when we stop seeing AI as space to be contained and start seeing it as a landscape to be explored. Our role as educators isn't to build fences, but to help students develop their own compasses. #AIEducation #FutureOfLearning #EducationalInnovation #StudentAgency #EdTech #CognitiveDesign #GenerativeThinking Amanda Bickerstaff Stefan Bauschard Dr. Sabba Quidwai Mike Kentz David Gregg David H. Doan Winkel Jason Gulya Dr. Lance Cummings. Alfonso Mendoza Jr., M.Ed.