AI Powered Microlearning Snippet Generation Workflow Guide

Microlearning Snippet Generation Workflow

1. Define Learning Objectives

1.1 Identify Target Audience

Determine the demographics and learning needs of the audience.

1.2 Establish Learning Goals

Outline specific knowledge or skills that the microlearning snippets should impart.

2. Content Curation

2.1 Research Relevant Topics

Utilize AI-driven tools such as ContentBot to analyze trending topics in education.

2.2 Gather Existing Resources

Compile articles, videos, and other educational materials that align with the learning objectives.

3. Snippet Creation

3.1 Script Development

Use AI tools like ChatGPT to generate engaging scripts based on the curated content.

3.2 Visual Storyboarding

Employ Canva or Visme to create storyboards that outline the visual elements of the snippets.

4. Video Production

4.1 AI Video Generation

Utilize AI video tools such as Synthesia or Pictory to produce videos from the scripts.

4.2 Voiceover Integration

Incorporate AI-generated voiceovers using tools like Descript or Murf.ai for professional audio quality.

5. Quality Assurance

5.1 Review and Edit

Conduct a thorough review of the video snippets for content accuracy and engagement.

5.2 User Testing

Gather feedback from a sample of the target audience to assess the effectiveness of the snippets.

6. Deployment

6.1 Platform Selection

Choose appropriate e-learning platforms such as Moodle or Teachable for distribution.

6.2 Launch Campaign

Utilize marketing automation tools like Mailchimp to promote the newly created microlearning snippets.

7. Evaluation and Improvement

7.1 Analyze Engagement Metrics

Use analytics tools such as Google Analytics to track viewer engagement and completion rates.

7.2 Iterate Based on Feedback

Refine content based on user feedback and analytics to enhance future microlearning snippets.