https://claude.ai/public/artifacts/380d5b15-94a5-400b-8d22-c867df2cecdb

EduAnalytics Portal - Complete User Guide

Table of Contents

1. Getting Started
2. Document Upload Process
3. Understanding Analysis Results
4. Platform Capabilities
5. Best Practices
6. Troubleshooting
7. Advanced Features

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Getting Started

What is EduAnalytics?

EduAnalytics is an AI-powered educational data analysis platform that helps teachers and administrators make data-driven decisions about student interventions and support strategies. The platform analyzes up to 100 documents per student to provide comprehensive insights into their academic and behavioral progress.

Who Can Use This Platform?

• Teachers: Upload and analyze student documentation for intervention planning
• Administrators: Review school-wide trends and compliance data
• Special Education Coordinators: Track IEP progress and modifications
• RTI/MTSS Specialists: Monitor intervention effectiveness
• School Psychologists: Analyze behavioral and academic assessments

Initial Setup

1. Login: Use your school-provided credentials
2. Select Student: Choose the student you want to analyze
3. Verify Permissions: Ensure you have access to upload documents for this student
4. Check File Limits: Maximum 100 documents per analysis session

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Document Upload Process

Step 1: Prepare Your Documents

Supported File Types:

• PDF files (.pdf)
• Microsoft Word documents (.doc, .docx)
• Text files (.txt)
• Excel spreadsheets (.xls, .xlsx)
• CSV files (.csv)

Document Categories the System Recognizes:

• RTI Documentation: Progress monitoring data, intervention logs, assessment results
• MTSS Records: Behavioral intervention plans, tier placement documentation
• IEP Materials: Individualized education programs, goal tracking, accommodation logs
• Assessment Reports: Standardized test results, diagnostic assessments
• Behavioral Data: Discipline records, behavioral intervention plans, social-emotional assessments
• Academic Records: Report cards, grade books, assignment tracking
• Medical Records: Health assessments, medication logs (if applicable)
• Communication Logs: Parent contacts, meeting notes, team communications

Step 2: Upload Documents

Method 1: Drag and Drop

1. Prepare Files: Organize documents on your computer
2. Select Files: Drag files from your computer directly into the upload area
3. Verify Upload: Check that all files appear in the file list
4. Review File Names: Ensure file names are descriptive and identifiable

Method 2: Browse and Select

1. Click Upload Area: Click anywhere in the blue upload zone
2. Browse Files: Use the file browser to select documents
3. Multi-Select: Hold Ctrl (Windows) or Cmd (Mac) to select multiple files
4. Confirm Selection: Click "Open" to add files to the upload queue

Step 3: Review Uploaded Files

• Check File Count: Verify all documents are listed (max 100)
• Review File Names: Ensure each file is properly named and identifiable
• Remove Duplicates: Use the "Remove" button to delete any duplicate files
• Verify File Types: Confirm all files are in supported formats

Step 4: Start Analysis

1. Click "Analyze Documentation": Button becomes active when files are uploaded
2. Wait for Processing: Analysis typically takes 2-5 minutes depending on file count
3. Monitor Progress: Watch the progress bar for completion status
4. Review Results: Scroll down to view comprehensive analysis results

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Understanding Analysis Results

RTI (Response to Intervention) Analysis

What It Shows:

• Current RTI tier placement recommendations
• Progress monitoring data trends
• Intervention effectiveness metrics
• Tier movement recommendations

How to Read Results:

• Tier 1 (65-80%): Universal instruction is meeting needs
• Tier 2 (15-25%): Targeted intervention recommended
• Tier 3 (5-10%): Intensive intervention required

Example Interpretation:

"Based on progress monitoring data, student shows 40% improvement in reading fluency over 8 weeks of Tier 2 intervention. Recommend continuing current intervention for 4 more weeks before reassessment."

MTSS (Multi-Tiered System of Support) Analysis

Academic Support Insights:

• Core instruction effectiveness
• Supplemental intervention needs
• Intensive support recommendations
• Cross-curricular patterns

Behavioral Support Insights:

• Behavioral intervention effectiveness
• Social-emotional learning needs
• Environmental factor analysis
• Replacement behavior success rates

Data Integration:

• Academic-behavioral correlation analysis
• Attendance impact assessment
• Family engagement factor analysis

IEP (Individualized Education Program) Analysis

Goal Progress Tracking:

• Measurable annual goal progress
• Short-term objective completion rates
• Accommodation usage effectiveness
• Service delivery analysis

Compliance Monitoring:

• Meeting timeline adherence
• Assessment completion status
• Transition planning progress
• Related service coordination

Modification Recommendations:

• Goal adjustment suggestions
• Accommodation modifications
• Service delivery changes
• Placement considerations

AI-Generated Insights and Recommendations

Pattern Recognition:

• Academic performance trends
• Behavioral pattern identification
• Intervention response patterns
• Environmental factor correlations

Predictive Analytics:

• Risk factor identification
• Success probability calculations
• Intervention outcome predictions
• Timeline estimations

Actionable Recommendations:

• Specific intervention strategies
• Timeline recommendations
• Resource allocation suggestions
• Team coordination recommendations

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Platform Capabilities

Core Analysis Features

1. Document Intelligence

• Text Extraction: Converts scanned documents to searchable text
• Data Mining: Extracts key metrics, dates, and performance indicators
• Pattern Recognition: Identifies trends across multiple documents
• Categorization: Automatically sorts documents by type and relevance

2. Comprehensive Data Integration

• Cross-Document Analysis: Correlates information across all uploaded files
• Timeline Construction: Creates chronological view of student progress
• Gap Analysis: Identifies missing data or assessment periods
• Trend Analysis: Tracks performance over time periods

3. Advanced Analytics

Statistical Analysis:

• Progress rate calculations
• Intervention effect size measurements
• Confidence interval assessments
• Statistical significance testing

Predictive Modeling:

• Academic outcome predictions
• Intervention success probability
• Risk factor identification
• Timeline forecasting

Comparative Analysis:

• Peer comparison (anonymized)
• Historical performance comparison
• Intervention effectiveness comparison
• Best practice identification

Specialized Capabilities

RTI/MTSS Expertise

• Tier Placement Analysis: Data-driven tier recommendations
• Progress Monitoring: Automated progress tracking and alerting
• Intervention Fidelity: Assessment of intervention implementation
• Decision Rules: Automated application of RTI decision-making criteria

IEP Management

• Goal Progress Tracking: Automated goal progress calculation
• Compliance Monitoring: Timeline and requirement tracking
• Accommodation Effectiveness: Data-driven accommodation analysis
• Transition Planning: Post-secondary readiness assessment

Behavioral Analysis

• Functional Behavior Assessment: Pattern identification in behavioral data
• Intervention Effectiveness: Behavioral intervention outcome analysis
• Antecedent-Behavior-Consequence Analysis: Environmental factor correlation
• Replacement Behavior Tracking: Success rate monitoring

Reporting and Visualization

Dashboard Features

• Executive Summary: High-level overview of student status
• Detailed Analytics: Comprehensive data breakdown
• Visual Representations: Charts, graphs, and trend lines
• Comparative Views: Side-by-side analysis options

Export Capabilities

• PDF Reports: Professional, shareable reports
• Excel Exports: Raw data for further analysis
• Summary Documents: Concise overview reports
• Meeting Preparation: Team meeting-ready summaries

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Best Practices

Document Preparation

1. Organize by Date: Upload documents in chronological order when possible
2. Use Descriptive Names: Include dates and document types in filenames
3. Include Context: Upload supporting documents that provide background
4. Ensure Completeness: Include all relevant documentation for comprehensive analysis

Upload Strategy

1. Start with Core Documents: Upload IEP, assessment reports, and progress monitoring data first
2. Add Supporting Materials: Include behavioral logs, communication records, and observations
3. Include Recent Data: Ensure most current information is included
4. Verify Quality: Check that scanned documents are clear and readable

Interpreting Results

1. Review All Sections: Don't focus on just one area of analysis
2. Consider Context: Factor in external circumstances affecting performance
3. Look for Patterns: Identify consistent trends across different data sources
4. Validate Findings: Cross-reference AI insights with your professional judgment

Taking Action

1. Prioritize Recommendations: Focus on high-impact, evidence-based suggestions
2. Plan Implementation: Develop specific timelines for recommended actions
3. Monitor Progress: Set up systems to track implementation effectiveness
4. Collaborate: Share insights with team members for collective decision-making

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Troubleshooting

Common Upload Issues

File Not Uploading:

• Check file size (max 25MB per file)
• Verify file type is supported
• Ensure stable internet connection
• Try uploading files individually

Poor Analysis Results:

• Upload higher quality scanned documents
• Include more comprehensive documentation
• Verify document dates and student identification
• Add context documents for better understanding

Missing Information:

• Check if documents contain machine-readable text
• Ensure all relevant documents are uploaded
• Verify student information is consistent across documents
• Include assessment scoring sheets and rubrics

Technical Issues

Slow Processing:

• Large file counts may take longer to process
• Complex documents require more processing time
• Check internet connection stability
• Refresh page if processing stalls

Incomplete Results:

• Verify all documents uploaded successfully
• Check for file corruption issues
• Ensure documents contain relevant educational data
• Contact support if persistent issues occur

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Advanced Features

Trend Analysis

• Longitudinal Tracking: Multi-year progress analysis
• Seasonal Patterns: Identification of time-based performance variations
• Intervention Correlation: Linking interventions to outcome changes
• Predictive Modeling: Forecasting future performance trends

Collaborative Tools

• Team Dashboards: Shared access for educational teams
• Comment Systems: Collaborative annotation and discussion
• Meeting Integration: Pre-populated meeting agendas and reports
• Parent Communication: Simplified progress sharing tools

Compliance Features

• Audit Trails: Complete documentation of all analysis activities
• Privacy Controls: FERPA-compliant data handling
• Access Logging: Tracking of who accessed what information
• Data Retention: Automated compliance with retention policies

Integration Capabilities

• SIS Integration: Direct connection to student information systems
• Assessment Platform Links: Integration with testing platforms
• LMS Connections: Learning management system data import
• State Reporting: Automated compliance reporting features

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Getting Help

Support Resources

• In-App Help: Click the help icon for contextual assistance
• Video Tutorials: Access training videos for each feature
• User Community: Connect with other educators using the platform
• Technical Support: Contact support team for technical issues

Training Options

• Self-Paced Modules: Complete training at your own pace
• Live Webinars: Participate in instructor-led sessions
• School-Based Training: On-site training for your team
• Certification Programs: Become a certified EduAnalytics user

Best Practice Sharing

• Success Stories: Learn from other educators' experiences
• Research Integration: Access to latest educational research
• Professional Development: Continuing education opportunities
• Conference Presentations: Share your success stories

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This platform represents a significant advancement in educational data analysis, providing educators with powerful tools to make informed decisions about student support and intervention strategies. The AI-powered insights complement professional judgment and help ensure that every student receives the appropriate level of support for their individual needs.