Adaptive Learning Pathway Builder with Visual Logic Assembly
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Solution Overview
Problem
The high cost and complexity of creating custom adaptive learning experiences in educational settings, as well as the need for programming skills, hinder the widespread adoption of adaptive learning technologies, making it difficult for educators to implement effective adaptive learning environments.
Innovation Solution
A Learning Experience Assembly Framework (LEAF) that allows educators to create adaptive learning pathways using a visual, drag-and-drop approach with integrated logic blocks, enabling the assembly of learning content without programming skills, and persisting learner interactions to drive personalization and adaptivity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If educators use ready-made adaptive learning experiences, then implementation cost is reduced, but adaptability and customization are limited
Solution Approach 1:
The system segments adaptive learning experiences into reusable modular components that educators can selectively assemble. This allows customization without building from scratch, reducing cost while maintaining adaptability.
Solution Approach 2:
The system enables dynamic configuration of learning pathways where educators can adjust and customize experiences based on specific needs. The modular architecture allows flexible recombination of components for different customization scenarios.
2Adaptability or versatility
If educators create custom adaptive learning experiences with programming skills, then adaptability and customization are improved, but ease of operation and time required increase
Solution Approach 1:
The system introduces an intermediary visual authoring environment that translates educator-friendly drag-and-drop operations into programmatic logic. This mediator layer eliminates the need for educators to learn programming while maintaining full customization capability.
Solution Approach 2:
The system replaces traditional programming mechanics with visual block-based authoring. Educators interact through intuitive visual operations rather than coding, substituting mechanical programming tasks with simpler visual assembly operations.
3Adaptability or versatility
If educators create custom adaptive learning experiences from scratch, then adaptability and pedagogical alignment are improved, but device complexity and time required increase
Solution Approach 1:
The authoring environment is segmented into specialized tools for different pedagogical tasks (content creation, pathway design, assessment, etc.). This modular toolset reduces overall complexity by presenting only relevant functions for each task.
Solution Approach 2:
The system provides universal building blocks and components that serve multiple pedagogical purposes. A single component can be reused across different learning pathways and contexts, reducing the total number of elements educators must manage.
Data Source
AI summary
An intuitive framework for assembling instructional modules for educational purposes provides integrated programmatic logic to provide learners with agency and increase achievement. The framework enables educators to use content from a learning content database and assemble the content into adaptive learning pathways using a visual drag-and-drop approach combined with the creation of rules to drive adaptivity without requiring programming or coding skills.