FSSCoding
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- Created 15 real-world test scenarios across diverse industries - Each scenario includes autonomous instructions and results placeholders - Industries covered: engineering, healthcare, finance, education, tech, agriculture - Scenarios test FSS-Mini-RAG with authentic professional use cases - Complete deployment guide and validation tools included - Ready for agent delegation and execution Scenarios range from mechanical engineering CAD standards to cybersecurity compliance, ensuring broad market validation.
66 lines
3.1 KiB
Markdown
66 lines
3.1 KiB
Markdown
# Test Scenario 08: Education Technology - Digital Learning Platform Research
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## 🏢 **Industry Context**: Education/EdTech
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**Role**: Educational Technology Coordinator
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**Task**: Research best practices for implementing digital learning platforms in K-12 education
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## 📋 **Scenario Description**
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You're coordinating the implementation of new digital learning platforms across a school district. You need to research best practices for EdTech integration, accessibility requirements, student data privacy regulations, and teacher training methodologies.
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## 🎯 **Your Mission (Completely Autonomous)**
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### **Step 1: Setup FSS-Mini-RAG**
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1. Read the repository README.md to understand how to install FSS-Mini-RAG
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2. Follow the installation instructions for your platform
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3. Verify the installation works by running `rag-mini --help`
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### **Step 2: Gather Research Materials**
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Create a folder called `edtech-implementation-research` and populate it with relevant documentation:
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- Digital learning platform evaluation criteria
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- FERPA and student data privacy requirements
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- Accessibility standards for educational technology (WCAG)
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- Teacher professional development and training resources
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- Digital equity and inclusion best practices
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**Sources to explore**:
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- Department of Education technology guidelines
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- EdTech research organizations and publications
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- Accessibility compliance resources (Section 508, WCAG)
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- Professional development frameworks for educators
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- Digital equity research and case studies
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### **Step 3: Index and Search**
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1. Use FSS-Mini-RAG to index your `edtech-implementation-research` folder
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2. Perform searches to answer these questions:
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- "What are the key evaluation criteria for selecting learning platforms?"
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- "How should student data privacy be protected in digital learning?"
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- "What accessibility features are required for inclusive education?"
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- "What training approach works best for teacher adoption?"
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- "How can digital equity gaps be addressed effectively?"
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### **Step 4: Document Your Findings**
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Write your findings in `RESULTS.md` including:
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- Platform selection criteria and evaluation framework
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- Student data privacy compliance requirements
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- Accessibility standards and implementation guidelines
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- Teacher training and professional development strategies
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- Digital equity initiatives and best practices
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### **Step 5: Evaluation**
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Rate FSS-Mini-RAG's effectiveness for:
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- Finding specific information across multiple documents
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- Searching complex documentation efficiently
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- Helping with research and analysis workflows
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- Overall usefulness for education/edtech industry applications
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## 📁 **Deliverables**
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- `edtech-implementation-research/` folder with research materials
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- `RESULTS.md` with findings and FSS-Mini-RAG evaluation
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- Documentation of your search queries and discoveries
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## ⏱️ **Expected Duration**: 2-3 hours
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## 🎓 **Learning Objectives**
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- Test FSS-Mini-RAG with education/edtech industry content
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- Evaluate search effectiveness with domain-specific documentation
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- Assess usefulness for professional research workflows in education/edtech |