This example uses Facebook's Like buttons to allow students to flag pages of course content inside LearningStudio as particularly strong content. This publishes the activity to their Facebook walls, which while fostering continued engagement through social reinforcement also gives the instructional designer insight into popular content or courses and promotes the university via word of mouth marketing in otherwise potentially closed communities.
git clone https://github.com/PearsonDevelopersNetwork/Facebook-Likes-In-LearningStudio.gitThis skill enables LearningStudio instructional designers to embed Facebook Like buttons on course content pages, allowing students to flag and share strong educational material to their Facebook walls. When students like content, an intermediate landing page displays course information via meta tags to Facebook while showing marketing content to visiting friends, promoting the university's online program. The solution uses LearningStudio REST APIs and JavaScript to parse content and course IDs, then generates encrypted hashes for privacy. This approach provides instructional designers with analytics on which content resonates most with students while fostering engagement through social reinforcement and word-of-mouth marketing in closed educational communities.
Create a Facebook application in the Developers Portal and design a public landing page (PHP or other language) that uses LearningStudio REST APIs to fetch course metadata. Host the fbls.js widget and landing page publicly, then implement the provided JavaScript and HTML code on LearningStudio content pages where Like buttons should appear. The system requires PHP 5.3.2+ on your server.
Track which course modules and learning materials students find most valuable
Generate organic word-of-mouth promotion of online programs through student Facebook networks
Display customized marketing content about courses to non-enrolled Facebook users who click shared links
Measure student engagement and course popularity through Facebook application analytics
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/PearsonDevelopersNetwork/Facebook-Likes-In-LearningStudioCopy the install command above and run it in your terminal.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
Analyze the Facebook Like data from [COURSE_NAME] in [LEARNING_PLATFORM] for [UNIVERSITY]. Identify the most liked content sections and suggest improvements based on student engagement. Also, provide strategies to leverage this data for marketing purposes.
# Facebook Like Analysis for [COURSE_NAME] ## Most Liked Content Sections 1. **Introduction to [TOPIC]**: 1,200 likes - Students found the interactive quiz engaging. 2. **Case Study: [CASE_NAME]**: 950 likes - The real-world application resonated with learners. 3. **Final Project Guidelines**: 800 likes - Clear instructions and examples were appreciated. ## Suggested Improvements - **Expand Interactive Elements**: Incorporate more quizzes and polls in other sections. - **Highlight Case Studies**: Add more real-world examples to other topics. - **Clarify Instructions**: Ensure all sections have clear, step-by-step guidelines. ## Marketing Strategies - **Share Success Stories**: Highlight popular sections on social media to attract new students. - **Encourage Social Sharing**: Prompt students to share their achievements on Facebook. - **Create Targeted Ads**: Use the most liked content to create ads for potential students.
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