The latest OECD Education and Skills report (link in comments) on the impact of digital technologies makes one thing clear: technology alone does not improve learning. Its impact depends on how we use it - to empower students, deepen thinking, and connect learning to real life. At the American International School of Guangzhou, this aligns directly with our Transformative Learning Framework. We’re not asking “What can this tool do?” but rather “How can technology support and enable transformative learning?” OECD Findings → AISG’s Transformative Learning Framework: • Personalisation → AI and analytics can tailor pathways, but only when guided by strong pedagogy. • Agency → The biggest gains come when students use tech to make choices and own their learning journey. • Authenticity → Digital tools shine when they connect students to real audiences, issues, and contexts. • Creativity → Coding, multimedia, and design platforms foster innovation when scaffolded thoughtfully. • Collaboration → Tech should strengthen relationships and collective problem-solving, not isolate learners. • Taking Action → The true impact comes when students apply knowledge to create change and meaningful outcomes. Technology isn’t an add-on. When used intentionally, it amplifies the conditions of transformative learning - helping our students grow as personalised, agentic, authentic, creative, collaborative, and action-oriented learners…
Using Technology to Enhance Continuous Learning
Explore top LinkedIn content from expert professionals.
Summary
Using technology to enhance continuous learning means integrating digital tools like AI, analytics, and interactive platforms so people can learn, practice, and improve their skills over time, not just in one-off training sessions. This approach turns mistakes and feedback into opportunities for growth, making learning adaptive and personalized in everyday work and study environments.
- Personalize your learning: Explore tools that offer custom feedback and recommendations based on your progress, so you can focus on areas where you need the most support.
- Integrate with daily routines: Use technology to embed learning activities directly into your workflow, like interactive simulations or real-time coaching, so learning becomes part of your normal day.
- Ask smarter questions: When using AI or digital platforms, be specific and creative in your requests to turn passive information into active practice and real-world application.
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Dr. Kristen Eignor DiCerbo's leadership as Chief Learning Officer at Khan Academy is inspiring. It is remarkable how she balances the expansive scale of reaching over 120 million learners while ensuring the underlying learning science remains rigorous and impactful. By championing the idea that "education comes first, technology comes second," she ensures these digital tools serve a genuine pedagogical purpose. Her approach to building Khanmigo (utilizing decades of research on dialogue-based human tutors to provide empathetic, step-level feedback) is a compelling application of AI. What if a student's first mistake wasn't a permanent penalty on a transcript, but the exact trigger a system needed to teach them? For decades, our education system has been trapped in a flawed "time-versus-information" paradox. We halt instruction to administer high-stakes, point-in-time standardized tests, starving teachers of the granular, skill-level insights they need for tomorrow's lesson. Our summative assessments tell us much about a student's past, but little about the best next step. But the future of assessment is about making the test indistinguishable from the learning process itself. By seamlessly embedding continuous, formative assessment into the digital platform, an incorrect answer is no longer a punishment. It is a trigger for actionable feedback. Mistakes become stepping stones. AI won't just change how students write essays; it is going to displace the multiple-choice questions. With tools like Khanmigo, we can assess complex, durable skills through dynamic, real-time dialogue. Khan Academy has revealed the blueprint for the next decade of educational measurement in Kirsten's brilliant case study, “Formative Assessment in a Digital Learning Platform.” If you care about unlocking human potential, this is mandatory reading. How do you see continuous, AI-driven assessment for learning reshaping the traditional classroom over the next 5 years? Drop your thoughts in the comments, and repost to share this vision!
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I’ve been using n8n to connect my Learning Record Store (LRS) with real-world user interactions. Right now, when an xAPI statement (learner interaction data) comes in, it can trigger a robot to dance when it scans for specific data in the LRS. Next, I’m layering in Slack messages that respond to specific learner interaction data. It’s a simple way to demonstrate a bigger idea. When we collect granular xAPI data from learning in the flow of work, we can actually do something with it. For example, a customer service simulation could be delivered directly in Slack as a link or interactive chat. The rep completes the scenario right where they work. Each response, such as how they phrase answers, how quickly they respond, and whether they resolve the issue, sends detailed xAPI data to your LRS. That data does not stop there. It could connect with performance data from real customer calls. If those calls show that a rep struggles with empathy or tone, the system can automatically generate a custom simulation to practice that specific skill. After completing it, the rep receives personalized feedback or follow-up practice in Slack based on what the system detected. This could be done in so many different ways like with GenAI to create adaptive practice or add an agent with memory that connects chat data, call insights, and internal systems to deliver coaching that feels timely and contextual. This moves learning from a single event to a continuous, adaptive experience that fits naturally into how people already work. #xAPI #learningdesign #learningintheflowofwork #LRS #GenAI #n8n #instructionaldesign #learninganddevelopment #futureoflearning
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The real power of digital upskilling isn’t about efficiency—it’s about helping people reach their full potential. In McKinsey’s Re:think newsletter, I shared some thoughts on how leaders can build cultures of continuous learning—where people become more tech-savvy and more human. A doctor friend brought this to life for me. She’s started using AI to take notes and summarize data from patient exams. It saves her time, but what she loves most is what she can give back to her patients. As she put it, “I’m being a better human—and a better doctor.” That’s what great digital upskilling does—it creates space for higher-value work, builds confidence to try new tools, and strengthens skills like empathy, communication, and critical thinking. This balance between efficiency and humanity is at the core of my discussions with CEOs about digital upskilling. If we get this right, AI won’t replace the human element—it’ll amplify it. Read the full piece here: https://mck.co/3KXU8HU #AI #Upskilling #Leadership #FutureOfWork
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💡 In a world where business priorities shift faster than ever, the way we learn must evolve too. This week, I had the opportunity to deliver an engaging session on Microlearning — a game changer in modern workplace learning. The conversations in the room were a reminder that employees today don’t just need more learning; they need smarter learning — quick, relevant, and impactful. We explored how microlearning can seamlessly fit into a busy workday while driving real performance outcomes. Here’s what stood out from our discussion 👇 🚀 Key Benefits: Increases time and cost efficiency by focusing on what truly matters. Offers flexibility and adaptability, making learning available when it’s needed most. Boosts learner engagement through short, interactive experiences. Improves knowledge retention and fosters learner autonomy. To ensure microlearning delivers results, we also unpacked a few best practices: 1️⃣ Evaluate if the topic suits a microlearning approach. 2️⃣ Keep content clear and concise. 3️⃣ Use purposeful media — videos, infographics, quick simulations. 4️⃣ Pair with gamification to make it engaging. 5️⃣ Track progress to measure impact and reinforce learning. The biggest takeaway? Microlearning isn’t just about short content — it’s about making every minute of learning count. When designed thoughtfully, it empowers employees to learn continuously and apply knowledge right where it matters — on the job. #Microlearning #LearningAndDevelopment #ContinuousLearning #Upskilling #L&D #EmployeeExperience #LearningCulture
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𝗨𝘀𝗶𝗻𝗴 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗮𝗻𝗱 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 𝘁𝗼 𝗗𝗿𝗶𝘃𝗲 𝗗𝗶𝗴𝗶𝘁𝗮𝗹 𝗧𝗿𝗮𝗻𝘀𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻 🚀 Are you noticing a gap in your team’s digital skills as your organization ramps up its digital transformation efforts? Let’s be real: the digital landscape is evolving at breakneck speed, and without the right skills, your employees might struggle to keep up. This gap isn’t just a small glitch—it’s a potential roadblock that could prevent your company from leveraging new technologies and staying competitive. If you ignore this issue, your company risks falling behind competitors who are quick to adapt. You'll miss out on the efficiency, innovation, and growth that come with being a digital-first organization. But here’s the game plan: integrate comprehensive digital literacy and transformation training into your Learning & Development (L&D) strategy. Here’s how to make it happen: 📌 Identify Key Digital Skills: Start by mapping out the essential digital skills your team needs. Think data analysis, cybersecurity, digital marketing, and emerging technologies like AI and IoT. This isn’t just about tech-savviness; it’s about future-proofing your workforce. 📌 Custom Training Programs: Develop tailored training programs that address these specific skills. Use a mix of e-learning, workshops, and hands-on projects to cater to different learning styles and ensure practical application. 📌 Leverage Internal Expertise: Tap into the knowledge within your organization. Encourage experts to share their insights through internal webinars, mentoring programs, and collaborative projects. This not only builds skills but also fosters a culture of continuous learning. 📌 Use Cutting-Edge Tools: Employ the latest L&D technologies to deliver your training. Interactive video paths, VR simulations, and AI-driven personalized learning paths can make the training more engaging and effective. 📌 Measure and Iterate: Implement metrics to evaluate the effectiveness of your training programs. Use feedback, performance analytics, and skill assessments to continuously refine and improve your L&D strategy. By embedding digital literacy and transformation training into your L&D strategy, you're not just enhancing your employees’ skills; you're positioning your organization to thrive in the digital age. (Note: The picture is from a Microsoft training event in Toronto from 2005!) Ready to lead the charge in digital transformation? Share your thoughts and strategies in the comments below! ⬇️ #DigitalTransformation #LearningAndDevelopment #FutureOfWork #DigitalSkills #Innovation #Training #EdTech #CorporateTraining
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I had the chance to sit down with Matt Gjertsen on his podcast, “Leadership Launchpad – Team Development & Performance Improvement for Aerospace & Technology Managers.” If you’re a people leader, L&D pro, or work in a tech or aerospace environment, this conversation might spark some ideas for how you support your teams in 2026 and beyond. Our episode, “The Manager’s Role in Continuous Learning,” dives into: - Why continuous learning is a business strategy, not a “nice-to-have” - How managers can create space for learning in the flow of work - Practical ways to use technology and AI to support talent development - What gets in the way of learning cultures—and how to remove those barriers Listen here: https://lnkd.in/gyum6eW5 #LeadershipDevelopment #ContinuousLearning #LearningCulture #AIinLearning
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The landscape of education and professional learning is rapidly evolving, and AI is playing a pivotal role in this transformation. At Sibme, our experiences have led us to some key insights about integrating #AI into coaching, both onsite and virtually. Here are ten reflections that might reshape how we think about professional learning in education: 1. Personalization: AI's ability to provide personalized feedback based on specific interactions and practices within "the flow of work" is revolutionizing coaching effectiveness. 2. Adapting to Diverse Needs: The flexibility of AI-powered platforms to cater to both onsite and virtual environments shows the importance of adaptable solutions in education. Hybrid gives us the best of both worlds. 3. Efficiency in Professional Learning: Streamlining processes is crucial. AI helps in making professional learning more job-embedded, focused, and time-efficient. 4. The Power of Real-Time Support: Immediate feedback and guidance, a feature enabled by AI, can significantly enhance the learning and coaching experience for individuals who don't have access to expertise in their schools. 5. Scalability Matters: AI demonstrates that scalable solutions are essential for addressing the varied demands of different educational settings. 6. Accessibility and Sustainability: Reducing the need for physical resources and travel, AI in coaching aligns with the goals of accessibility and program sustainability. 7. Fostering Collaboration and Growth: AI-powered professional learning platforms like Sibme can create communities of practice, enhancing collaborative learning and professional growth. 8. The Importance of Continuous Learning: AI-driven analytics and reporting encourage a culture of continuous improvement through real-time insights. 9. Data-Informed Decision Making: Leveraging data for informed decision-making in curriculum and training is becoming increasingly important. 10. Engagement Through Innovation: Innovative tools and methods are essential for keeping learners and educators engaged and motivated. These insights reflect a broader trend towards technology-enhanced learning and coaching. As we continue to explore these avenues, it's clear that #AI is not just a tool but a transformative element in the future of education. #EducationInnovation #AIinLearning #ProfessionalLearning #FutureOfEducation #TeachingAndLearning #instructionalcoaching
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🌍 The conversation around integrating technology in education is more vibrant than ever, and I'm excited to share a standout resource: the latest toolkit from the National Center on Education and the Economy (NCEE), Learning in a Technological Age! 📚✨ This toolkit is a game-changer for educators and school leaders aiming to enhance learner-centered experiences through AI and emerging technologies. It provides practical insights on how to effectively integrate AI, Augmented Reality (AR), and Virtual Reality (VR), transforming traditional lessons into immersive, interactive journeys. 🎮🌟 What’s Inside the Toolkit? Explore AI, AR, and VR 🤖: Understand their benefits and limitations in creating a future-ready education system. Design Intentional Tech Integration 📲: Discover strategies to enhance educator competence and confidence in using technology. Lead with Purpose 👩🏾🏫👨🏾🏫: Foster a learner-centered environment that accelerates holistic student learning and development. I encourage you to download this invaluable toolkit and explore how it can prepare our students for future demands while nurturing a culture of innovation and adaptability. 🚀 👉🏾 Download the Toolkit: https://bit.ly/4dbnT0Z I’d love to hear your thoughts! What stands out to you? How might you apply it in your context? What additional supports would you find helpful? Let’s collaborate to make education better for our students! 🤝🏾💡