Creating Interactive Content For Online Learning

Are the interactions in your e-learning course about clicking, not learning? Try this 3-step method to fix it. You spend hours trying to design interactive e-learning—adding clicks, drag-and-drops, and hotspots. But learners rush through, and leadership barely notices. 𝘚𝘰��𝘯𝘥 𝘧𝘢𝘮𝘪𝘭𝘪𝘢𝘳? Many instructional designers feel stuck; they don’t know how to create meaningful interactions instead of interactions that let people click. The key? 𝘚𝘵𝘳𝘢𝘵𝘦𝘨𝘺 𝘰𝘷𝘦𝘳 𝘥𝘦𝘤𝘰𝘳𝘢𝘵𝘪𝘰𝘯. Here’s a simple 3-step method to design interactions that truly enhance your e-learning courses: 1️⃣ 𝗦𝘁𝗮𝗿𝘁 𝘄𝗶𝘁𝗵 𝘁𝗵𝗲 𝗘𝗻𝗱 𝗶𝗻 𝗠𝗶𝗻𝗱 ✅ 𝗗𝗢: Before designing an interaction, ask yourself: *What should learners be able to do after this?* ❌ 𝗗𝗢𝗡’𝗧: Add interactions to make a course "look engaging." 📌 𝗤𝘂𝗶𝗰𝗸 𝗘𝘅𝗮𝗺𝗽𝗹𝗲: If you aim to teach customer service skills, don’t just add a drag-and-drop activity where employees match cybersecurity terms to definitions. Create a simulated phishing attack in which learners must identify suspicious emails, decide whether to open links, and take appropriate action to protect company data. 2️⃣ 𝗙𝗼𝗰𝘂𝘀 𝗼𝗻 𝗗𝗲𝗰𝗶𝘀𝗶𝗼𝗻-𝗠𝗮𝗸𝗶𝗻𝗴, 𝗡𝗼𝘁 𝗝𝘂𝘀𝘁 𝗖𝗹𝗶𝗰𝗸𝗶𝗻𝗴 ✅ 𝗗𝗼: Use interactions that make learners think, not just click. ❌ 𝗗𝗢𝗡’𝗧: Overuse simple interactions (like clicking hotspots) without real engagement. 📌 𝗤𝘂𝗶𝗰𝗸 𝗘𝘅𝗮𝗺𝗽𝗹𝗲: Instead of a basic hotspot where learners click on different parts of a customer service desk to "learn more," create a decision-based hotspot interaction. For example, learners see a busy retail counter with different customer scenarios. Based on urgency and priority, they must click on the right customer to assist first. 3️⃣ 𝗧𝗲𝘀𝘁, 𝗔𝗻𝗮𝗹𝘆𝘇𝗲, 𝗮𝗻𝗱 𝗜𝗺𝗽𝗿𝗼𝘃𝗲 ✅ 𝗗𝗢: Gather feedback and track learner performance. ❌ 𝗗𝗢𝗡’𝗧: Assume that an interaction is effective because it "looks fun." 📌 𝗤𝘂𝗶𝗰𝗸 𝗘𝘅𝗮𝗺𝗽𝗹𝗲: Check if learners are engaged or just rushing through. If they struggle with assessments, go back and refine the interaction—maybe it needs more explicit instructions, better feedback, or a stronger real-world connection. By following these steps, you’ll move beyond generic interactions and create learning experiences that help learners retain knowledge—while making your work stand out. Which of these 3 steps do you already use? Follow me - Mark Spermon - to learn more about creating e-learning courses that engage and deliver results with Articulate Storyline #InstructionalDesign #eLearning #CareerGrowth #L&D #ArticulateStoryline

Many people believe live trainings work better simply because people can talk to each other face‑to‑face, but that’s not the real reason. In reality, their effectiveness comes from something else entirely, they naturally follow a powerful learning rhythm. Great offline trainings follow one simple logic: action → reflection → understanding → application. This is Kolb’s Cycle. And it’s incredibly powerful. The problem? It was almost impossible to implement it in online learning. That’s why 90% of online courses look like “interactive lectures”: nice slides, videos, quizzes. But that’s content consumption, not transformation. And now - the unexpected twist. For the first time, online learning has caught up with offline experiences. Because AI removed the main barrier: it finally allows learners to get experience, reflection, and practice in a personalized way. Here’s how Kolb’s Cycle looks in modern learning design: 1️⃣ Concrete Experience — action Essence: the learner must do something, live through a situation, face a task — ideally experiencing difficulty or making a mistake that shows their current model doesn’t work. How online: role-based dialogue, scenario simulation. 2️⃣ Reflective Observation — reflection Essence: pause and think — what happened, what actions were taken, and why the result turned out this way. How online: interactive reflection prompts; AI coach provides feedback based on performance and the learner’s own reflections. 3️⃣ Abstract Conceptualisation — understanding Essence: form a new behavioural model — concepts, principles, algorithms that explain how to act more effectively. How online: short video lecture, model breakdown, interactive frameworks, checklists, interactive infographics. 4️⃣ Active Experimentation — application Essence: try the new model in a safe environment and observe the result. How online: AI-based simulation, situational exercise, case-solving with the new approach; AI coach supports and adjusts. The outcome? Online learning stops being “content” and becomes a behaviour tracker. A course becomes a training simulator, not a film. Kolb’s Cycle finally becomes real in digital learning. Do you use this framework? What results have you seen?

Storytelling is one of the most underused tools in eLearning. Most designers think of it as decoration—a nice-to-have wrapper for the “real” content. However, it's the story that gives content its meaning. It’s how people make sense of information and turn it into experience. When a course tells a good story, learners stop clicking through slides and start caring about what happens next. That shift from awareness to investment is where learning begins. To build that kind of experience, I use what I call the STORY Method. 1. Situation Begin with a realistic moment from the learner’s world—something familiar enough to feel possible, but specific enough to pull them in. 2. Tension Show what’s at stake. Every story needs a challenge, a conflict, or a decision that matters. Without pressure, there’s no reason to pay attention. 3. Options Give the learner room to choose. Let them explore different paths or perspectives so they feel responsible for what happens next. 4. Result Reveal the outcome. Make the consequences visible and connect them to the underlying principle or skill you want to teach. 5. Your Move Ask them to act or reflect. Invite them to apply what they've learned or to consider how they would handle a similar situation. Good storytelling doesn’t need fancy visuals or complex characters. It just needs a clear situation, meaningful stakes, and a path that lets the learner discover the lesson for themselves. When done well, a story turns information into experience.

Most learning experiences fail. Not because they lack content. Not because they aren’t engaging. But because they confuse motion with action. - Learners finish an interactive course—but can’t apply a single concept. - Employees earn certifications—but their performance stays the same. - Teams attend workshops—but nothing changes in how they work. Your beautifully designed courses might be keeping learners busy without moving them forward. The difference between motion and action explains why so many well-designed learning experiences fail to create real change. Motion 🔄 vs. Action 🛠️ in Learning Design Motion is consuming information—watching videos, reading content, clicking through slides. Action is applying knowledge—practicing skills, making decisions, solving problems. Motion FEELS productive. Action IS productive. �� What doesn’t work: - Content-heavy modules with no real-world application - Knowledge checks that test memory, not mastery - Gamification that rewards progress, not proficiency - Beautiful interfaces that prioritize scrolling over doing ✅ What works instead: - Micro-challenges that force immediate application - Project-based assessments with real-world constraints - Deliberate practice with quick feedback loops - "Demo days" where learners publish/present their work 3 Common Motion Traps 🪤 1️⃣ The Endless Content Cycle Overloading learners with information but giving them no space to apply it. A 40-page module doesn’t drive change—practice does. 2️⃣ The Engagement Illusion Designing for clicks, badges, and completion rates instead of real skill-building. Just because learners show up doesn’t mean they’re growing. 3️⃣ The Passive Learning Trap Building "Netflix for learning" experiences that entertain but don’t transform. Learning feels good—but does it change behavior? What to Do Next? 💡 - Audit your learning experience. Calculate the ratio of consumption time vs. creation time for your learners. - If learners spend more than 50% consuming, redesign for action. The best learning designers don’t create the most content. They create the most transformation. Are you designing for motion or action?

GAMIFICATION UNLEASHED: When most people think of gamification in eLearning, they picture points, badges, and leaderboards. But the true power of gamification lies in meaningful choices and real consequences? Instead of just adding a game-like layer to an eLearning course, we should think about how we can use gamification to create immersive, decision-driven experiences. Branching scenarios are a prime example. They allow learners to make choices that affect the actual outcome of the scenario—providing a more engaging and personalized learning journey. It’s not just about making learning fun—it’s about creating a realistic simulation where every choice matters. This approach helps learners experience the impact of their decisions in a safe environment, which translates to better understanding and retention. In a recent project, I designed a branching scenario where learners navigated complex decision paths in a simulated environment. Each decision led to different consequences, mirroring real-life outcomes. This not only made the learning process more engaging but also deepened learners' understanding of the material. By focusing on the real-world application of decisions, gamification became a powerful tool for meaningful learning rather than just a decorative element. #Gamification #eLearning #BranchingScenarios

“We need to break up the content.” “I threw in a drag-and-drop to keep it engaging.” “It’s just something to click.” Sound familiar? Here’s the thing - interactivity shouldn’t be decoration. It should be purposeful. The biggest mistake I see in eLearning? 👉 Adding interactions that don’t do anything for the learner. True interactivity should make them think. It should deepen understanding, simulate a decision, or reinforce recall. 🎯 Here’s how to shift from fluff to function: ✅ Replace “click to reveal” with a mini-scenario ✅ Use branching to explore real consequences of choices ✅ Add drag-and-drop only when it mirrors a real process or sequence ✅ Always ask: “What does this interaction help them learn or practice?” 💡 Remember: interaction isn’t engagement if it’s empty. Let’s design learning that’s active and meaningful. What’s your favorite example of an interactive element that actually improved learning? #InstructionalDesign #LearningExperienceDesign #eLearning #IDOLAcademy #EngagementWithPurpose #LXD

Three AI prompts every educator should try. Built with Gemini and fine-tuned for education to guide a student's learning journey. How can we ensure AI truly enhances learning, helps educators and students? For me, the answer is clear: it starts with deeply embedding pedagogical principles into the AI itself. LearnLM models, integrated directly in Gemini, are: - fine-tuned for education: - support multimodal inputs; - use a system instruction-first approach, letting you define role, tone, and behavior. Each prompt is a reusable, specified behavior – like a tutor, quiz creator, or content rewriter. Here are three of my favorite prompts from the Gemini 2.5: Prompt Guide: 1. The Science Tutor👨🔬 This prompt is incredible because it feels like you're talking to a real science teacher. When a student uploads a diagram and asks a question, Gemini doesn’t just give an answer. It challenges them, explains the logical relationships, and asks them to reason and explain their own connections. This practice helps to foster active learning and curiosity, two key principles of our pedagogy. 2. The Instructional Assistant 👩💻 This assistant is a game-changer for creating dynamic, interactive content. It allows educators to use existing course materials, like a YouTube video, to generate engaging role-playing scenarios. The student can then act as an expert on the topic in a conversation with the AI. This approach promotes active learning and curiosity, and because it uses different media and formats, it helps manage cognitive load and makes learning more adaptive and multimodal. 3. The Math Discourse Coach 👩🏫 When a student gets stuck on a math problem, the instinct is to give them the answer. But real learning comes from the struggle. This prompt turns Gemini into a coach that helps students reflect on their reasoning and explore alternate approaches. It’s designed to promote a "healthy struggle" by asking questions that challenge their thinking, which helps with metacognition and managing cognitive load. All 8 prompts from the guide are included in the carousel below Best to test those prompts in AI Studio: https://lnkd.in/d8B45nPk or via the Gemini API https://lnkd.in/dyZBTmKi   See the complete Prompt guide: https://lnkd.in/d9JBxfUd

Most #AspiringInstructionalDesigners make the same mistake on their portfolios. They include gimmicky eLearning samples based on their hobbies instead of showing that they can create trainings that provide business solutions. Here’s the reality: ✅ Companies invest in training to solve problems. ✅ Your portfolio should prove you can design training that delivers results. Here’s how to build a portfolio that stands out: 1️⃣ Start with a Business-Driven Learning Goal. Don’t just pick a random topic—ask: 🔹 What problem does this training solve? 🔹 How will it impact the business? Example: Instead of “Time Management Tips,” create “Reducing Meeting Overload to Boost Productivity.” 2️⃣ Choose a Training Format That Fits the Content. Your format should match how learners use the information: ✔️ Quick reference? → Job Aid ✔️ Knowledge-based? → eLearning ✔️ Soft skills? → ILT with role-play Example: A software tutorial works best as an interactive simulation—not a static PowerPoint. 3️⃣ Make Learning Engaging & Practical. No more info dumps! Use: 🔹 Realistic scenarios 🔹 Simulations & hands-on activities 🔹 Knowledge checks that reinforce learning Example: A cybersecurity training could have an interactive inbox where learners identify phishing scams. 4️⃣ Showcase Your Work Like a Pro. A strong portfolio includes: 🔹 A short case study (learning goal, audience, format) 🔹 A polished training sample 🔹 A clear explanation of your design choices 💡 Pro Tip: Don’t just post screenshots. Show interactive elements, include a video walkthrough, or post a working eLearning module. #AspiringInstructionalDesigner #TransitioningTeacher #InstructionalDesign #IDPortfolio #Elearning #LXD #CorporateTraining

If our students passively absorb info, we failed them. They need active, meaningful, enduring learning. We do that by increasing conceptual friction (nod to Jason Gulya). Students need challenges and complexities to increase Critical thinking, problem-solving, deeper understanding. ✅ 𝗧𝗶𝗽𝘀 𝘁𝗼 𝗹𝗲𝘃𝗲𝗿𝗮𝗴𝗲 #AI 𝗳𝗼𝗿 𝗶𝗻𝗰𝗿𝗲𝗮𝘀𝗶𝗻𝗴 𝗰𝗼𝗻𝗰𝗲𝗽𝘁𝘂𝗮𝗹 𝗳𝗿𝗶𝗰𝘁𝗶𝗼𝗻 ➡️ Structured academic controversy Assign students different stances on an issue. Use AI to generate arguments for each side. ➡️ Predict-observe-explain (POE) activities Students predict outcomes, observe results, and explain observations. Use AI to simulate physical phenomena or historical events. Students test predictions and refine their understanding. ➡️ AI-generated prompts for critical thinking Generate complex, open-ended questions. Require students to apply knowledge in new ways. (Use Ruben Hassid Prompt Maker GPT to improve prompts.) ➡️ Interactive simulations and scenarios Create interactive simulations that mimic real-world scenarios. In a physics class, AI can simulate different frictional forces and their effects on motion, allowing students to experiment and observe outcomes in a controlled environment. ➡️ Analyzing AI responses Ask AI to write an essay or solve a problem. Students analyze and critique the AI responses. Identify errors, biases, and areas for improvement. ➡️ AI as a debate partner Use AI to simulate a debate partner. Help students practice argumentation skills. They respond to AI-generated counterarguments in real-time. ➡️ Scaffolded assignments Students use AI tools at different stages of their work. Brainstorm ideas, draft an outline, and refine final product. ➡️ Role-playing and simulations Simulate negotiations or market analysis. Provide a dynamic, interactive learning experience. Students and AI take on different roles in a simulated environment. ➡️ Feedback and revision cycles Provide instant feedback on student work. Encourage multiple revision cycles. ➡️ Ethical and societal implications Explore ethical and societal implications of decisions. Simulate the impact of different policies on society. ✅ 𝗦𝘁𝗿𝗮𝘁𝗲𝗴𝗶𝗲𝘀 𝗳𝗼𝗿 𝗲𝗳𝗳𝗲𝗰𝘁𝗶𝘃𝗲 𝗶𝗺𝗽𝗹𝗲𝗺𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻 ➡️ Co-create expectations With students, define appropriate use and how AI should be cited. ➡️ Encourage reflection After using AI, students reflect on their experiences: How they'll use AI differently in the future. How AI influenced their thinking. What they learned. ➡️ Provide support and resources Tutorials, help sessions, online resources. Explain how to use AI effectively and ethically. ------------------------- Thoughtfully integrate AI into your classroom to ⬆️ conceptual friction. Challenge students. Promote critical thinking. Prepare them for an AI-infused future. ------------------------- ♻️ 𝗿𝗲𝗽𝗼𝘀𝘁 𝘁𝗼 𝘀𝗵𝗮𝗿𝗲 𝘄𝗶𝘁𝗵 𝘆𝗼𝘂𝗿 𝗻𝗲𝘁𝘄𝗼𝗿𝗸 𝘀𝗼 𝘄𝗲 𝗰𝗮𝗻 𝗹𝗲𝗮𝗿𝗻 𝘁𝗼𝗴𝗲𝘁𝗵𝗲𝗿