Adaptive Learning Content Delivery for Resource Management Platforms

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Solution Overview

Problem

Resource account management platforms lack effective integration of learning tools, limiting the sophistication and effectiveness of users in managing their resources, particularly in real-time trading and resource deployment.

Innovation Solution

A computing system that obtains historical access and media engagement data to determine a learning content dataset associated with defined learning objectives, maps media content items to these objectives, and generates media recommendations based on trigger conditions, thereby providing personalized and adaptive educational content to users.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If a resource account management platform provides general multimedia content to users, then users can access educational materials, but the content is not tailored to individual learning needs and objectives

Engineering Contradiction:

Improvecontent personalizationVSAvoidsystem complexity

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The system pre-generates learning content datasets associated with defined learning objectives before users need them. When a user triggers a learning need (e.g., accessing trading functionality), the pre-prepared content sets are quickly retrieved and presented, eliminating the need for complex real-time content generation while achieving personalization

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system automatically determines and presents appropriate learning content based on user actions and profile data without requiring manual curation or complex intervention. The platform self-adapts by monitoring user interactions and automatically selecting relevant content sets, reducing the need for complex external management systems

Inventive Principle:

Principle #25Self-service

2Productivity

If the platform integrates comprehensive learning tools with trading functionalities, then user sophistication and effectiveness improve, but the system complexity and difficulty of operation increase

Engineering Contradiction:

Improveresource management effectivenessVSAvoidplatform usability

Core Design Contradiction:

ProductivityVSEase of operation

Solution Approach 1:

The learning content delivery system is merged with the existing trading platform infrastructure. Learning content is integrated into the same interface and workflow as trading operations, allowing users to access educational materials seamlessly while performing trading activities without switching systems or dealing with separate complex interfaces

Inventive Principle:

Principle #5Merging (Combining)

Solution Approach 2:

Learning content is prepared and associated with trading functionalities in advance. When users access trading features, the corresponding learning content is already ready and automatically presented, eliminating the need for users to manually search or configure learning materials and reducing operational complexity

Inventive Principle:

Principle #10Preliminary action

3Adaptability or versatility

If the platform provides extensive multimedia content coverage, then user learning objectives can be met, but the quantity of content to manage and deliver increases complexity

Engineering Contradiction:

Improvelearning objective coverageVSAvoidcontent management complexity

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The extensive multimedia content is segmented into distinct learning content sets, each associated with specific learning objectives. This segmentation allows the system to manage large volumes of content by organizing them into discrete, independently selectable units that can be efficiently retrieved and delivered based on user needs without managing the entire content library as a single complex entity

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

Learning objectives serve as intermediaries between the extensive content library and user needs. The system maps content to objectives and objectives to user actions, creating a layered structure that simplifies content delivery by filtering through the objective layer rather than directly managing all content relationships

Inventive Principle:

Principle #24Intermediary (Mediator)

Data Source

PatentUS11481843B2Systems and methods for presenting multimedia content

Publication Date: 2022.10.25 THE TORONTO DOMINION BANK

AI summary

A computer-implemented method is disclosed. The method includes: obtaining, via a server storing a plurality of data records, historical access data in connection with at least one data record; obtaining media engagement data indicating user engagement of media content in connection with the at least one data record; determining a learning content data set associated with the at least one data record based on the historical access data and the media engagement data, the learning content data set including a plurality of media content sets that are associated with defined learning objectives, wherein determining the learning content data set includes: determining a mapping of media content items to the plurality of media content sets; and determining an order associated with the media content sets, detecting one or more trigger conditions associated with the at least one data record; and in response to detecting the one or more trigger conditions: automatically identifying a subset of the learning content data set based on determining a mapping of the one or more trigger conditions to at least one of the defined learning objectives; and generating media recommendation data including the identified subset of the learning content data set.