Combining Design Pondering With AI For Participating Microlearning Movies
As an Tutorial Designer, I’ve all the time been drawn to the problem of simplifying complicated ideas. In schooling, the place time is a luxurious and engagement could be elusive, I requested: How can I ship impactful studying moments in just some minutes? The reply revealed itself by way of microlearning movies—bite-sized, learner-centered, and centered. However the actual magic occurred once I approached content material creation with the design considering framework—a course of that remodeled issues into tales and options.
Design Pondering Rules
1. Empathize
It began with listening. I sat down with educators, college students, and employees, listening to their frustrations—like a professor juggling calendars or a employees member overwhelmed by new instruments. Their struggles grew to become tales ready to be advised.
2. Outline
From these conversations, I reframed issues into eventualities: What does this appear like of their world? For the professor, it was the chaotic overlap of conferences. This step gave me readability and course.
3. Ideate
With a transparent situation, I partnered with AI instruments to brainstorm. Collectively, we wrote concise scripts, crafted relatable examples, and designed visuals that introduced these tales to life. To attach audibly, I used AI voiceovers, making certain tone and language have been clear, participating, and multilingual.
4. Prototype
I shared early variations of the movies—imperfect however actionable—with small teams. Their suggestions was like an editor sharpening a tough draft, shaping the narrative till it clicked.
5. Check
Lastly, I watched learners work together with the movies. Have been they engaged? Did they stroll away with solutions? Their reactions advised me the place to refine, making certain each second delivered worth.
By treating every stage like a storytelling course of, design considering helped me remodel challenges into options learners might see, hear, and relate to—turning minutes into moments that actually matter.
Crafting Microlearning Movies With Design Pondering And AI: An Overview Of The Course of
1. Empathize: Listening To The Neighborhood
Each nice answer begins with understanding the consumer. I began with a sequence of conversations—immersing myself within the experiences of educators, college students, and employees. Reasonably than skimming the floor, I dug deeper to uncover their ache factors and desires.
- A professor shared frustrations about syncing calendars for crew initiatives.
- A dean’s assistant described feeling overwhelmed by new instruments with no clear steerage.
- A employees member highlighted the shortage of accessible assets for Spanish-speaking learners.
These insights have been greater than issues; they have been alternatives to create significant studying options. I documented these conversations as reflections in my journal, preserving the main focus goal and empathetic.
To outline these issues additional, I leveraged an AI chatbot to rework my notes into actionable analysis questions. For instance: How can we train calendar syncing in a transparent, participating manner? From there, I developed a thoughts map with seven core questions, every addressing a particular want inside the group.
2. Outline: Turning Challenges Into Situations
With a transparent understanding of the customers’ challenges, I reframed every downside as a situation to floor my strategy: For calendar syncing, I visualized: A professor juggling a number of courses and conferences wants a transparent, easy information to merge calendars effectively.
I then requested the chatbot to refine my concepts: “What steps ought to a microlearning video embrace to make calendar merging easy, participating, and actionable?” The AI response offered a structured define that grew to become the roadmap for the video content material. This step ensured that the issue remained learner-focused and linked to real-world wants.
3. Ideate: Crafting A Imaginative and prescient For The Movies
With the situation set, I started brainstorming options and co-creating with AI to convey the content material to life:
Script Growth
The subsequent step was bringing my imaginative and prescient to life. I started by drafting a script, and that is the place the chatbot really grew to become my co-creator. It helped me fine-tune the language, making certain the tone was each skilled and approachable whereas preserving the video relatable. The script was concise—two minutes max—and centered on fixing a single downside: merging calendars. For instance: “Create a 2-minute script on merging calendars, utilizing real-life eventualities and sustaining a joyful, clear tone.”
Visible Design
I turned to a web-based graphic design software to create clear, polished slides that aligned with the script. Visuals have been purposeful, emphasizing key actions like “sync” buttons and calendar views with out overloading the learner.
Accessibility And Voiceovers
AI-powered voice mills allowed me to create audio narrations in each English and Spanish, making certain the content material was inclusive and accessible to all learners. I adjusted the tone and pacing to match the circulate of the visuals. Syncing the voiceover with the visuals was a fragile course of, however with cautious timing, the outcome was flawless, providing a clean, immersive studying expertise for all viewers.
Collectively, these components fashioned a coherent, participating, and learner-centered video prototype.
4. Prototype: Bringing The Imaginative and prescient To Learners
As soon as the microlearning video was prepared, I shared it with the group utilizing a multi-faceted strategy:
Straightforward Entry
I uploaded the video to our coaching hub, making certain it was searchable, well-organized, and categorized for fast entry. On the video platform, I optimized the title and outline for searchability, ensuring anybody in search of assist with calendar integration might simply bump into it.
Neighborhood Engagement
However my favourite half got here when the video grew to become a part of a group of observe session. That is when contributors might discover the challenges collectively, share their experiences, and collaborate in actual time. Watching learners click on play, take in the data, and instantly put it into observe was the second I knew all the hassle had paid off. Throughout a group of observe session, learners watched the video, shared insights, and mentioned challenges collaboratively. Seeing them instantly apply the content material validated its affect.
The expertise additionally sparked the creation of a suggestions loop round using calendar instruments. As learners shared their ideas and challenges, I used to be in a position to acquire contemporary insights, which in flip helped me refine the video content material to higher meet their wants. This stage wasn’t nearly supply—it was about observing, gathering suggestions, and refining the answer additional. It was a steady cycle of enchancment that not solely enhanced the educational expertise but additionally deepened my understanding of learn how to higher assist the group’s evolving wants.
5. Check: Refining By means of Steady Suggestions
The true energy of design considering lies in its iterative nature. Suggestions got here in nearly immediately. Many customers praised the readability of the movies, whereas others prompt extra options or assist for various languages. Utilizing AI instruments as soon as once more, I analyzed their enter to refine the following set of movies. Every iteration grew to become extra polished, inclusive, and tailor-made to the learners’ evolving wants.
The AI-powered workflow for crafting slides and scripts made these changes easy. Modifications have been applied on the fly, preserving the content material contemporary, responsive, and in sync with the viewers’s wants. This strategy additionally ensured the coaching remained related, adapting rapidly to new technological rollouts and preserving learners linked and invested all through the expertise.
Utilizing AI instruments, I analyzed the suggestions and made real-time changes:
- Scripts have been up to date.
- Visuals have been fine-tuned.
- New movies have been produced to deal with evolving wants.
What made this course of really distinctive was the immediacy—all of it occurred in actual time through the course supply. Customers noticed their recommendations seamlessly built-in into the movies, creating a way of collaboration and possession. This dramatically boosted engagement as contributors felt like co-creators of the course.
This quick response created a suggestions loop the place learners felt heard and concerned—reworking them into lively collaborators. By integrating their recommendations, the movies remained contemporary, related, and interesting.
The Influence: Options That Empower
What started as conversations remodeled into options that empowered learners. These microlearning movies weren’t simply instruments—they grew to become bridges connecting customers to information in a manner that was accessible, well timed, and actionable.
The design considering course of—empathize, outline, ideate, prototype, and check—ensured that each video addressed an actual want and delivered quick worth. However the course of did not cease there. Every step fed into the following, making a cycle of enchancment. With each iteration, suggestions grew to become gas, turning challenges into alternatives and evolving content material into an ever-better model of itself.
AI was the catalyst that amplified this journey. It streamlined scripting, refined visuals, and ensured inclusivity by way of multilingual voiceovers, making the method quicker and smarter. AI instruments did not substitute creativity—they expanded it, serving to me discover concepts I hadn’t imagined and check options rapidly.
Collectively, design considering and AI fashioned a system in fixed movement—an ongoing story of studying, refining, and innovating. Every video was a stepping stone, constructing towards a bigger imaginative and prescient of accessible, learner-centered schooling that evolves alongside the world it serves. By staying iterative and learner-focused, I found new methods to make studying impactful, one microlearning video at a time.
