Educational App Recommendation Indexing Education Standards
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Solution Overview
Problem
The challenge lies in correlating educational mobile applications with education standards to facilitate recommendations and assess student progress effectively, as existing systems lack the necessary correlation between applications and learning goals, making it difficult to identify appropriate apps and measure student achievement.
Innovation Solution
A system that receives activity tables from educational mobile applications, correlates learning activities with education standards, generates an index, and allows users to specify education standards, recommending aligned applications and assessing student achievement based on user responses and usage data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If educational mobile applications are made available without correlation to education standards, then the quantity of available applications increases, but the ability to identify appropriate applications and assess student progress deteriorates
Solution Approach 1:
The patent applies preliminary action by pre-correlating learning activities in educational applications with education standards before users search for applications. The system maintains a database that already contains correlations between application activities and standards, so when users search for applications aligned with specific standards, the matching has already been performed in advance, eliminating the need for users to manually evaluate each application against standards.
Solution Approach 2:
The patent uses an intermediary approach by introducing a correlation database and indexing system that mediates between the large quantity of available applications and the education standards. This intermediary structure stores and manages the relationships between applications and standards, allowing users to query the system to find applications that match specific standards without having to directly compare each application against multiple standards.
2Measurement precision
If manual correlation between learning activities and education standards is performed, then measurement precision of student progress improves, but productivity of the system deteriorates
Solution Approach 1:
The patent applies copying by creating a digital representation (correlation database) that replicates the relationships between learning activities and education standards. Instead of performing manual correlation each time, the system creates a copied structure of these relationships in the database, which can then be efficiently queried and processed by computers, maintaining measurement precision while dramatically improving productivity.
Solution Approach 2:
The patent replaces the mechanical system of manual correlation with an automated computer-based system. The correlation database and indexing mechanisms are processed electronically rather than through manual review, substituting human effort with automated computational processes that maintain precision while significantly increasing productivity and scalability.
3Adaptability or versatility
If an index correlating learning activities to education standards is generated, then the ability to recommend aligned applications improves, but device complexity increases
Solution Approach 1:
The patent applies segmentation by dividing the correlation system into distinct components: activity tables that define learning activities, a correlation database that stores relationships, an indexing system that organizes data for efficient retrieval, and a user interface that presents recommendations. This segmentation allows each component to be developed and maintained independently, reducing overall system complexity while maintaining high adaptability.
Solution Approach 2:
The patent implements universality by designing the correlation database and indexing system to work with multiple education standards and various types of educational applications simultaneously. The system is built to be multi-functional, handling different subjects, grade levels, and standard frameworks through a unified architecture, which reduces complexity compared to creating separate systems for each standard or application type.
4Measurement precision
If student responses and usage data are collected to determine achievement levels, then assessment accuracy improves, but loss of information privacy increases
Solution Approach 1:
The patent applies local quality by collecting and processing student data in a distributed manner across multiple components and locations. The system allows schools and educators to maintain local control over data collection policies, enabling them to specify what data is collected, how it is used, and how privacy is protected, while still achieving accurate assessment through aggregated information from multiple sources.
Data Source
AI summary
Activity tables for educational application programs are received. The activity tables list learning activities in the applications. Correlations of the learning activities to a set of education standards are received and an index based on the correlations is generated. A specification of an education standard a user is to satisfy is received. The index is scanned to identify which application programs have learning activities aligned to the specified education standard. User responses to the applications may be collected. Based on the user response and other usage data, the system may determine a user's level of achievement of the specified education standard.