Platform & Technology
At Digital Flex, our cutting-edge AI Orchestration Platform—Digital Flex Accelerate—is at the heart of our solution, designed to revolutionize how K–12 districts manage curriculum, support teachers, and enhance student learning. It provides real-time coordination of curriculum content management, professional development (PD), and coaching, all integrated with student outcome feedback to drive continuous improvement.
Digital Flex Accelerate
Our platform is a dynamic, adaptive system built for continuous improvement in education. It seamlessly integrates curriculum delivery, teacher feedback, and AI-driven iterative processes.
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Continuous Loop of Curriculum and PD: The platform creates a federated, AI-powered "living" curriculum, PD, and instructional loop, ensuring effective High-Quality Instructional Materials (HQIM) development and adoption. This continuous cycle involves:
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Curriculum Update & Customization: Starting with a foundation of vetted HQIM and curriculum from partners like Great Minds, curriculum is developed with proven instructional strategies before AI layers are added. AI enhances localization of content and ensures standards alignment.
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Daily Teaching Data & AI Insight: Real-time feedback from classrooms, including teacher input, student performance, and usage data, is aggregated. This data fuels AI insights.
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Data-Driven Professional Development & Tips / Nudges: AI-informed personalized PD paths are provided based on usage patterns, feedback, and performance data.
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Student Reporting & Teacher Feedback: The platform facilitates robust student reporting and teacher feedback mechanisms.
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Professional Growth: The system supports ongoing professional growth for educators.
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Enhancing Automation and Efficiency: Digital Flex Accelerate streamlines processes, improving resource management and overall operational efficiency for districts.
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Security and Compliance: Designed with privacy in mind, our platform leverages federated learning for secure learning and data aggregation.
Digital Flex Solution Architecture
Our robust architecture ensures seamless data flow and intelligent processing:
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Users (Web and Mobile): Teachers, students, and administrators interact with personalized dashboards.
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External Systems / Data Sources: Digital Flex Accelerate integrates with existing district systems such as Student Information Systems (SIS), Learning Management Systems (LMS), Professional Development (PD) systems, and Content Management Systems (CMS) through ETL (Extract, Transform, Load) processes.
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Consolidated Data Repository / Warehouse: A centralized data warehouse provides real-time API access for all consolidated data.
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Digital Flex Database: This proprietary database stores essential curriculum, learning, and instructional data.
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AI Model: This core component houses the intelligence for PD personalization and curriculum customization/localization.
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Model Server / Centralized & District Model / Federated Learning: Our system utilizes both centralized and federated learning models. Federated learning allows for secure, distributed learning across district data, ensuring privacy while improving the overall AI model.
Digital Flex employs advanced AI and machine learning to power its capabilities:
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Federated Learning & Privacy Preserving AI: For secure learning and data aggregation across diverse datasets
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Predictive and Classification Models: For forecasting trends and supporting decision-making processes
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Natural Language Processing (NLP) & Text Analysis: Used for in-depth analysis of curriculum content and feedback received
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Time Series & Sequential Decision Modeling: Powers adaptive learning pathways and personalized recommendations for students and teachers
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Causal Inference & Optimization Models: For measuring the impact of interventions and optimizing instructional strategies
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Anomaly Detection and Pattern Recognition: Identifies potential issues or unique patterns in curriculum usage and student performance
AI & Machine Learning Models and Techniques
Digital Flex AI Solution Data Types
Our AI models leverage a comprehensive range of educational data:
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Curriculum and Learning Materials Data: Utilized for NLP, content alignment, and curriculum optimization
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Student Learning and Performance Data: Fuels adaptive learning, predictive analytics, and anomaly detection
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Teacher & Instructional Data: Informs PD recommendations, provides instructional insights, and supports differential analysis
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Administration and Decision-Making Data: Used for Return on Investment (ROI) assessments, system-wide insights, and strategic optimization