Adaptive Educational Content Delivery System

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Solution Overview

Problem

Existing systems for producing and delivering educational material are cumbersome, time-consuming, and labor-intensive, lacking mechanisms to ensure compliance with standards and learning objectives, and fail to provide personalized content tailored to individual students' needs or accommodate varying computer capabilities.

Innovation Solution

A method that selects subsets of learning objectives to define learning paths, using data on student characteristics to tailor educational content, ensuring compliance with standards and adapting to individual needs, and dynamically updating content based on student performance and platform capabilities.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If authors manually select and sequence educational items from a database, then educational material can be customized to individual needs, but the process becomes cumbersome and time-consuming

Engineering Contradiction:

Improvecustomization to individual needsVSAvoidtime-consuming authoring process

Core Design Contradiction:

Adaptability or versatilityVSLoss of time

Solution Approach 1:

The system pre-configures educational materials with metadata tags, learning objectives, and standardized structures before authoring. This preliminary organization allows the system to automatically select and sequence items based on student profiles without requiring manual curation during the authoring process, thus reducing time while maintaining customization capability.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system changes the parameters of educational item selection from manual to automated by introducing algorithmic parameters such as student performance data, learning style matching, and objective-based filtering. This transforms the authoring process from time-consuming manual selection to rapid automated configuration based on quantifiable student characteristics.

Inventive Principle:

Principle #35Parameter changes

2Reliability

If authors manually review course material to ensure compliance with standards, then educational material can meet learning objectives, but the process becomes labor-intensive

Engineering Contradiction:

Improvecompliance with standards and learning objectivesVSAvoidlabor-intensive review process

Core Design Contradiction:

ReliabilityVSProductivity

Solution Approach 1:

The system incorporates automated feedback mechanisms that continuously monitor educational material against predefined standards and learning objectives. Metadata tags and structured content allow the system to automatically verify compliance, providing real-time feedback to authors and reducing the need for manual review while ensuring standards are met.

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

The manual mechanical process of reviewing and verifying educational material compliance is replaced with automated computer-based verification systems. The system uses algorithms to check metadata, validate learning objectives, and ensure standards compliance, substituting human labor with automated mechanical processes that are faster and more consistent.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

3Adaptability or versatility

If educational material is produced using known systems, then material can be delivered to students, but it is not tailored to individual student needs or updated based on student experience

Engineering Contradiction:

Improvetailoring to individual student needsVSAvoidsystem complexity for personalization

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The system segments educational material into discrete, modular items with associated metadata and learning objectives. This segmentation allows the system to independently select, sequence, and customize specific items based on individual student profiles without requiring complex reconfiguration of the entire curriculum, thus achieving personalization with manageable system complexity.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The system introduces dynamic elements that allow educational material to automatically adapt based on student performance data and learning experience. The system can dynamically adjust content selection, sequencing, and difficulty levels in response to real-time student feedback, transforming static material into dynamic, personalized learning paths without proportionally increasing system complexity.

Inventive Principle:

Principle #15Dynamics

Data Source

PatentUS8838015B2Systems and methods for producing, delivering and managing educational material

Publication Date: 2014.09.16 STRIDE

AI summary

A method includes receiving data associated with a characteristic of a set of students from a educational delivery system. The characteristic can include, for example, a demographic characteristic, a geographical location, a score of an assessment associated with a learning objective from the plurality of learning objectives, a time to complete the assessment, a number of attempts to complete the assessment and/or an indicator of knowledge of the learning objective based on prior educational experience. A first group of students and a second group of students are automatically selected from the set of students based on the data such that first group of students is substantially identical to the second group of students. A first educational material is delivered to the first group of students. A second educational material is delivered to the second group of students.