Student Growth Platform for Automated Lesson Planning
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Solution Overview
Problem
Teachers face significant challenges in creating effective lesson plans due to the time-consuming process of searching and organizing diverse instructional resources, with existing digital technologies failing to bridge assessment data to identify student readiness and optimize learning resources for academic excellence.
Innovation Solution
An integrated student-growth platform utilizing a closed-loop system with a growth-projection engine, universal-skills-pool engine, curriculum-to-skills-mapper engine, growth-optimizing-instructional-resource-recommendation engine, and lesson-planning platform, employing algorithms like student growth percentile and computer-adapted testing to automatically generate digital lesson plans tailored to individual students.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If teachers manually search and organize instructional resources using ad hoc workflows, then they can create differentiated lesson plans tailored to individual students, but the time required for lesson planning increases significantly to seven to ten hours per week
Solution Approach 1:
The system enables automatic generation of differentiated lesson plans by having the platform self-serve teachers through AI-driven algorithms that automatically analyze student data, identify learning gaps, and assemble personalized lesson plans without requiring manual teacher intervention in the resource selection and organization process
Solution Approach 2:
The patent replaces the manual mechanical workflow of searching, evaluating, and organizing instructional resources with an automated digital system that uses machine learning algorithms to perform these tasks, substituting human cognitive labor with computational processes that can rapidly process and organize educational content
2Ease of operation
If teachers use multiple distinct tools for each step of the lesson planning workflow, then they can address specific planning needs, but the complexity of the planning process increases and requires coordination across seven different tools
Solution Approach 1:
The system merges seven separate lesson planning tools into a single integrated platform that combines student data analysis, resource search, lesson plan generation, assessment creation, and assignment management into one unified system, eliminating the need for teachers to switch between multiple applications while maintaining specialized functionality for each planning task
Solution Approach 2:
The patent creates a universal lesson planning platform that performs multiple functions within a single system, allowing the same tool to handle diverse tasks from analyzing student performance data to generating differentiated instructional materials and assessments, thereby reducing tool complexity while maintaining operational versatility
3Loss of information
If existing digital instruction technology is used, then digital resources can be accessed, but the technology cannot bridge the gap from assessment data to identifying particular skills that students are ready to learn
Solution Approach 1:
The system implements a closed-loop feedback mechanism that continuously cycles student assessment data through analysis algorithms, uses the analyzed insights to generate targeted lesson plans, implements those lessons, and then re-assesses student progress, creating an iterative feedback loop that progressively refines instruction based on actual student performance data and learning trajectories
Data Source
AI summary
Some embodiments of an integrated student-growth platform for discovering, designating, and organizing heterogeneous instructional electronic resources based on observational assessments of students are disclosed. The student-growth platform is configured to establish and generate the best possible set of skills and resources for an educator to teach a group of students on a particular day and for a student to quickly progress to meet preferred educational standards. In one embodiment, the student-growth system includes a communication unit for sending and receiving data among users (e.g., teachers and students), an assessment platform, a planning platform, a learning-progression platform, an assignment platform, a mastery-maker platform, a Multi-Dimensional Response Item (MIRT) platform, and a reporting platform. The assessment platform 220 collects observation data for a target student, identifies one or more indicators to the learning-progression platform, which is coupled to the assignment platform, the mastery-maker platform, the MIRT platform, and the reporting module.