Innovative Training Techniques

Your employee learning systems won’t just train people anymore — they’ll train your AI Agents. Your corporate university will become an LLM fine-tuning hub. The implications are big: • 𝗬𝗼𝘂𝗿 𝘁𝗿𝗮𝗶𝗻𝗶𝗻𝗴 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗯𝗲𝗰𝗼𝗺𝗲𝘀 𝗮 𝗱𝗮𝘁𝗮𝘀𝗲𝘁: onboarding docs, sales playbooks, support transcripts, and internal wikis will shape your AI’s behavior and outputs. • 𝗬𝗼𝘂𝗿 𝘀𝘂𝗯𝗷𝗲𝗰𝘁-𝗺𝗮𝘁𝘁𝗲𝗿 𝗲𝘅𝗽𝗲𝗿𝘁𝘀 𝗯𝗲𝗰𝗼𝗺𝗲 𝗔𝗜 𝗺𝗲𝗻𝘁𝗼𝗿𝘀: their expertise won’t just teach people anymore; it will calibrate intelligent systems across your org. • 𝗬𝗼𝘂𝗿 𝗹𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗰𝘂𝗹𝘁𝘂𝗿𝗲 𝗯𝗲𝗰𝗼𝗺𝗲𝘀 𝘆𝗼𝘂𝗿 𝗰𝗼𝗺𝗽𝗲𝘁𝗶𝘁𝗶𝘃𝗲 𝗲𝗱𝗴𝗲: companies that invest in tuning will have AIs that sound like them, think like them, and scale them. It’s a cultural transformation. Your AI will only be as smart as what (and who) it learns from. 👉 How are you thinking about training both people and AIs in your company?

💡 What if every lesson felt like an adventure, not a chore? Let’s be honest: unforgettable learning doesn’t happen with boring lectures or endless notes. It happens when students feel excited, curious, and emotionally connected. 🔥 Here’s how to make learning stick—and spark real transformation in the classroom: 1️⃣ Light the curiosity fire first 🔥 Don’t dump facts. Start with a question so intriguing they can’t look away. When curiosity leads, engagement follows. 2️⃣ Make it a full-sensory experience 🎧👀🖐️ Learning isn’t just mental—it’s physical. Get them seeing, touching, hearing, and doing. The more senses involved, the deeper the retention. 3️⃣ Show, don’t tell 🧪 Skip the theory dump. Demonstrate it. Let them experiment, explore, mess up—and learn through doing. Discovery beats instruction. 4️⃣ Tap into emotion 💥 Stories. Surprise. Laughter. Relevance. When students feel something, they remember it. Emotion = memory glue. 5️⃣ Be the guide, not the guru 🧭 You’re not there to give all the answers. You’re there to open doors, ask great questions, and empower them to find the answers themselves. 🎯 Truth bomb: The best classrooms aren’t quiet—they’re buzzing with energy, ideas, and wide eyes. Learning isn’t about memorizing—it’s about experiencing. Let’s stop teaching for the test and start teaching for life. Who’s ready to make education magical again? #UnforgettableLearning #ModernTeaching #STEMEducation #LearningThatSticks #CreativeTeaching #StudentEngagement #EdTech #ExperientialLearning #FutureOfEducation #TeachingReimagined #India #Kawal #EducationReform #PassionForTeaching #21stCenturySkills #TeachingTips

Your instructional designers are wasting their talent building courses nobody asked for. I see it everywhere. Brilliant L&D teams spend months crafting beautiful, interactive modules about "Professional Email Etiquette" or "Workplace Wellness" while the sales team is begging for help with objection handling and the customer success team can't figure out why retention is tanking. We've turned instructional design into an art project instead of a business solution. Here's what's happening: Someone in leadership says, "We need training on X," and your team jumps into action. They research learning theories, build personas, create storyboards, and design gorgeous courses. Six months later, completion rates are 12% and nothing has changed. Meanwhile, the real problems are hiding in plain sight. People are struggling, metrics are declining, and teams are frustrated. But nobody thought to ask the humans doing the work what they needed to learn. Here's where it gets interesting: AI-powered learning platforms finally give us better ways to understand people's needs. Instead of guessing based on annual surveys, these systems can track learning patterns, identify skill gaps through competency mapping, and help you spot where interventions might make a difference. The best instructional designers I know spend more time in the business than at their desks. They're on sales calls, watching customer interactions, sitting with support teams, and asking, "What's making your job harder than it should be?" Now, they can use data from their LMS to validate those hunches and see which learning paths actually correlate with better performance. Stop designing courses for compliance checklists and start creating solutions for real people with real problems. Let the data help you find those problems faster, but remember that correlation isn't causation. Your job isn't to make training. Your job is to make people better at their jobs. There's a massive difference. Want to know if your L&D team is on the right track? Ask them, "What business problem did you solve this month?" If they can't answer immediately, you've got some redirecting to do. L&D leaders, what's the most impactful learning solution your team built by talking to the people who needed it? #InstructionalDesign #LearningAndDevelopment #BusinessAlignment #LDLeadership

From chatbots that personalize microlearning to systems that predict who’s likely to disengage, artificial intelligence (AI) is changing how we train and learn. AI opens new opportunities to improve on some of the challenges with traditional training models such as scalability, personalization and real-time feedback. Core AI applications in the L&D space can be broken down into four categories: Artificial Intelligence (AI) Platforms: These tools tailor difficulty, pacing and topics in real time. An AI-enhanced platform can tailor the content to the learner based on their performance trends. Natural Language Tools: These are used to summarize content, create quizzes and provide conversational coaching. These applications can reduce time spent on administrative tasks and increase the focus on building relationships and delivering value. Predictive Analytics: This category of tools help learning leaders identify skills gaps and forecast learner success. Virtual Coaches and Chatbots: These tools reinforce knowledge through spaced repetition and feedback loops. AI-Powered Learning: A Case Study Streamline Services is a fifth-generation plumbing, electrical and HVAC company that handles up to 200 calls a day and serves thousands of customers each month. The company is using AI to not only coach employees but also identify areas where the team needs skills development or training. Streamline adopted an AI-powered virtual ride along platform to help transform everyday customer interactions — both in the field and in the call center — into powerful, data-driven learning opportunities. Traditionally, managers and trainers could only coach based on a handful of ride alongs or recorded calls each month. With AI, every service visit and customer conversation has become searchable, analyzable and coachable. AI highlights key themes including customer concerns, missed opportunities and tone shifts, allowing trainers to see real patterns instead of isolated incidents. The training team and managers use this knowledge to design training and structure coaching for individual needs. Because AI is deepening Streamline’s understanding of customer needs, the L&D team can develop targeted training that improves customer service and empathy across the company. Streamline’s experience illustrates how AI is fundamentally changing the learning process — from reactive coaching based on limited observation to proactive, personalized development powered by real data. This case study showcases how technology can elevate human performance rather than replace it. AI offers the ability to provide more learning opportunities and personalized learning across roles and industries. L&D professionals need to embrace this change and evolve alongside the technology. The future of learning isn’t artificial — it’s intelligently human. #LearningandDevelopment #AI #FutureofLearning

“Make it more interactive.” Probably the most overused and misunderstood sentence in eLearning projects. Because nobody stops to ask: Interactive for what? I’ve seen courses filled with: ❌ Endless click-next screens ❌ Random drag-and-drops ❌ Forced gamification ❌ Fancy animations with zero learning value And somehow that gets labeled as “engaging learning.” It’s not. Real instructional design is about cognitive engagement — not screen activity. That’s why understanding interactivity levels matters. LEVEL 1 — Information Delivery Text. Videos. Audio. Necessary when learners simply need exposure to concepts. LEVEL 2 — Guided Engagement Tabs. Hotspots. Click reveals. Useful for attention retention and lightweight reinforcement. LEVEL 3 — Decision-Based Learning Scenarios. Branching. Problem-solving. This is where learners start thinking instead of just consuming. LEVEL 4 — Performance Simulation Roleplays. Simulations. VR environments. Powerful only when the business problem actually justifies the complexity and cost. Here’s the reality most stakeholders ignore: More interactivity ≠ better learning. Sometimes a clean 5-minute Level 2 module outperforms an expensive gamified course because it respects learner time and focuses on outcomes. Good instructional designers don’t design for “wow.” They design for behavior change. That’s the difference. #InstructionalDesign #ELearning #LearningDesign #LXD #CorporateLearning #Storyboarding #LearningExperience #LearningAndDevelopment

On Monday, I had a moment that made me realize that the responsibilities of L&D professionals will continue to evolve rapidly. I recorded a walk-through video using Google Gemini 2.0. It helped me insert a video into Camtasia, which is not too bad for performance support. Today, I asked Gemini to create a five-minute training lesson. Listen to the interactions. (Thanks, Marjan Bradesko, for the inspiration!) What happened next was a glimpse into the future of corporate training. Google Gemini understood my context, provided visual guidance, and adapted its instructions based on my responses. More importantly, it showed me how close we are to AI-powered training systems. Imagine this scenario scaled up: Your employees need to learn a new software platform. Instead of traditional eLearning, they interact with a multimodal AI that: ◾Watches their screen interactions in real-time ◾Listens to their questions and frustrations ◾Generates custom tutorial videos on the fly ◾Provides hands-on practice scenarios ◾Adapts its teaching style based on their learning patterns The core technology exists today: ◾Real-time screen analysis ◾Natural language understanding ◾Dynamic content generation ◾Behavioral pattern recognition ◾Adaptive learning algorithms What's missing? Gemini controls the screen to highlight areas/objects, create practice assets on the fly, automate lesson scheduling, and connect to platforms to coordinate and track these activities. But those barriers are falling fast. This means L&D professionals need to start thinking differently about their roles. We're moving from content creators to human/machine performance analysts. SLOWLY. Our value won't be in creating standard training materials but in designing the frameworks and scenarios that AI will use to generate personalized learning experiences. The implications for corporate training are enormous: ◾Just-in-time learning that works ◾Truly personalized learning paths ◾Real-time skill assessment and adaptation ◾Immediate application of knowledge ◾Continuous performance support that evolves into deeper learning I've spent 30 years in L&D, and I've never been more excited about our field's future. The tools we're seeing today are just the beginning. What do you think? How are you preparing your L&D strategy for this shift, or is it more of the same for 2025? Are you already experimenting with AI in your training programs? Drop a comment below. ---------------------------- Want to learn how to implement this multimodal functionality? I'm holding an AI Intensive program at the end of January. Link in the comments.

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

If Your Learners Aren’t Engaged, Nothing Else Matters.👎 You can build the world’s most beautifully designed training program. But if learners don’t finish it, don’t remember it, and don’t apply it? Then it’s just content. Not learning. And that’s exactly where many L&D teams are stuck. Here’s what the data shows: * 70% of training content is forgotten within 24 hours * Engaged learners are 3x more likely to apply what they’ve learned * High engagement = higher productivity, stronger retention, and real business impact So, how do the best L&D teams drive engagement...and keep it? These are the three biggest game-changers we’re seeing in 2025 👀👇 1️⃣ Make Learning Feel Personal If a course doesn’t connect with someone’s day-to-day role, they’ll disengage...𝑭𝒂𝒔𝒕. Relevance is 𝘦𝘷𝘦𝘳𝘺𝘵𝘩𝘪𝘯𝘨. What forward-thinking teams are doing: → Adapting content based on role, skill level, and performance
 → Letting AI adjust learning pathways in real-time
 → Giving learners more say in their own development ✅ Teams making this shift are seeing 2x to 3x higher engagement. 2️⃣ Make It Impossible to Just Click Next No one remembers a 60-slide eLearning deck. Passive content is forgotten content. What’s working now: * Scenario-based challenges that mimic real decisions * Interactive formats like quizzes and simulations * Collaborative elements that get people talking and solving together ✅ One SME switched to interactive compliance training and jumped from 20% to 92% completion overnight. 3️⃣ Make Learning Continuous When learning is personal, interactive, and continuous, people pay attention. Annual training? It’s forgotten before the next login. The best teams are shifting to learning that’s consistent, quick, and embedded in the flow of work. How they’re doing it: → Microlearning delivered in bite-sized bursts each week → Spaced repetition to strengthen memory → Turning learning into a habit, not a one-off ✅ One team replaced a yearly course with weekly 5-minute refreshers — and saw engagement and on-the-job application soar. Engagement isn’t a “nice-to-have” in L&D.
 It’s the foundation of every successful learning strategy. When learning is personal, interactive, and continuous - people pay attention. And when people are paying attention, performance improves. If you’re looking to future-proof your L&D approach, this is where to begin. But what’s stopping most teams from getting it right?

Project to Try This Weekend: Create a Gamified eLearning Experience in Articulate Storyline 360 🎮 Gamification in elearning development is always exciting! Throughout my journey, I’ve had the chance to design and develop complex gamified learning experiences, projects that felt more like real games while driving strong learning outcomes. These required advanced skills, creative logic, and deep integration between Articulate Storyline and JavaScript. While many of these were created for clients and government education initiatives, I wanted to share the logic and structure I use in my gamification builds with our elearning and instructional design community. So, I’ve put together a sample game project, complete with source files and reusable JavaScript code, for you to explore and learn from. In this project, JavaScript powers: ⚫ Smooth animations and movement ⚫ Object collision detection ⚫ Dynamic question control based on variable states Instead of fully depending on the Storyline JS API, I focused on clean, modular, and reusable JavaScript logic (in a 𝙪𝙨𝙚𝙧.𝙟𝙨 file) making it easy to extend for multiple gamification scenarios. 📂 Download Source File: https://lnkd.in/dskmzC4Y 💻 Download JavaScript Code: https://lnkd.in/d_Q5YpWS #instructionaldesign #elearning #elearningdevelopment #instructionaldesigner #elearningdeveloper #learning #articulate #articulatestoryline #elearningcommunity #gamifiedlearning #storyline360

Salience: Why Challenges Must Come Before Theory We teach swimming from textbooks and act surprised when students drown in real water. For decades, engineering education has followed a predictable formula: teach theory first, hope students stay patient, and trust that someday, maybe years later, they will finally see why it mattered. This made sense in a world where hands-on robotics labs were rare, hardware was expensive, and students had no choice but to “believe” their professors and wait. But that world is gone... Today’s students are surrounded by affordable hardware, instant experimentation, rich online resources, AI tutors, and a culture where relevance must be felt, not promised. Convincing them to learn difficult concepts simply because they “will need them later” no longer works. It has no salience... Challenge-led learning flips the sequence. Give students a real problem — make the robot follow a trajectory — before they know trajectory planning and control. They will brute force it. They will gain confidence. And then, inevitably, they will hit the wall: one tiny change breaks everything, and all their brute-forcing collapses. That moment of confusion is not failure... it is the doorway... They finally feel the need for theory. They learn it next. And then they apply it repeatedly on hardware, each iteration peeling back another layer. This is where effort turns into mastery. This is where pride is built. The old model teaches answers before students have ever felt the question. The new model builds the question first... and the learning follows naturally. Why cling to a theory-first model built for a bygone era, when a challenge-led approach makes far more sense in today’s world? #RethinkingRoboticsEducation This is the second post in my series on rethinking robotics education for today's learners.