AI AVATAR VIDEO

ARTIFACT TYPE 

AI-presenter microlearning video created with Synthesia as a learning asset for an eLearning content presentation module. 

PURPOSE

Educate adult learners on a simple, four-step method — the Feynman Technique — to improve understanding and retention of new information. This asset exists as part of a portfolio demonstration of instructional design and microlearning video development.

This learning asset maps to the following learning outcomes:

• Apply the Feynman Technique to learn a concept more effectively.

• Identify knowledge gaps and refine understanding through teaching and simplification.

• Develop practical strategies for mastering any subject through structured learning.

To support the learning goals for this asset:

• Provide a clear, actionable method for learners to understand and retain complex concepts.

• Demonstrate the instructional design principle of active learning by teaching.

• Showcase the use of emerging AI tools to create engaging microlearning content.

PROCESS

PART 1: BACKWARDS DESIGN

I began by defining the intended outcome for the learner: someone who could understand and apply the Feynman Technique effectively. From there, I selected content that could be delivered clearly in a microlearning format. The Feynman Technique was ideal because it is actionable, concise, and lends itself to visual reinforcement. 

PART 2: RESEARCH

I reviewed current research and reputable sources on the Feynman Technique and adult learning strategies. I also explored best practices for AI-driven video creation, including how to combine an AI presenter with supporting visuals to enhance engagement and retention. 

PART 3: SCRIPT DEVELOPMENT

Using ChatGPT, I crafted a conversational script tailored to adult learners. I focused on:

• Clear, approachable language

• Highlighting each of the four steps: Choose a Concept, Teach It Simply, Pinpoint Knowledge Gaps, and Simplify & Use Analogies

• Making the content actionable and relatable

• Maintaining a friendly, supportive tone to connect with learners

PART 4: GENERATE AI VOICEOVER

I used Synthesia to generate the AI presenter and deliver the narration. I selected a voice that was conversational, approachable, and confident to support learner engagement. 

PART 5: VISUALS AND ANIMATION

I paired narration with simple visuals and text overlays using Adobe Express and Firefly. Visual elements were timed with narration, kept consistent across steps, and designed to reduce cognitive load while emphasizing key points. 

PART 6: LEARNING PRINCIPLES APPLIED

I applied Mayer’s Principles of Multimedia Learning:

• Modality Principle: Paired narration with visuals.

• Segmenting Principle: Broke content into four steps for manageable learning chunks.

• Signaling Principle: Highlighted transitions with on-screen text to focus attention.

• Personalization Principle: Narration delivered conversationally by the AI presenter.

PART 7: FINAL TOUCHES

• Added intro/outro screens with music using Synthesia.
  
  

• Uploaded the video to YouTube for accessibility and ease of sharing.
  
  

• Generated a descriptive transcript and closed captions to ensure accessibility for all learners.

ROLES

Instructional Designer / Video Developer – responsible for:

• Scriptwriting and refining the narration

• Selecting and integrating AI-generated voiceover

• Designing visuals and animations

• Producing the final video with attention to accessibility and learner engagement

TOOLS

• OpenAI ChatGPT (script development)
  
  

• Synthesia AI Presenter (video creation)
  
  

• Adobe Express & Firefly (visual assets)

• Camtasia (video editing)
  
  

• YouTube Video Editor (closed captions, hosting)

OUTCOME

This Synthesia video project further demonstrated my expertise in instructional design and microlearning development. 

Key takeaways include:

• Successfully created a concise, engaging learning video with an AI presenter that effectively communicates the Feynman Technique.

• Applied multimedia learning principles to enhance comprehension, retention, and learner engagement.

• Strengthened my skills in integrating generative AI tools for both scriptwriting and visual asset creation.

• Refined my ability to align narration, visuals, and instructional content for a seamless adult learning experience.

• Expanded my portfolio of AI-driven microlearning videos, building on prior projects to improve efficiency and instructional quality.