Age-Adaptive Gamified Learning Interfaces for Youth Financial Literacy

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Solution Overview

Problem

There is a lack of engaging educational materials for youths under 18 years old, and existing educational content struggles to keep their attention, particularly in financial literacy, with traditional written materials being difficult to understand and maintain engagement.

Innovation Solution

A software application tailored for youths that dynamically adjusts content based on age, incorporating gamification, parental oversight, and AI monitoring to provide interactive and age-appropriate financial education, using augmented reality, virtual reality, and voice-assisted learning to enhance engagement and understanding.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If traditional written educational materials are provided to youths, then educational content is delivered, but youth engagement and understanding are insufficient

Engineering Contradiction:
ImproveengagementVSAvoidunderstanding
Core Design Contradiction:
Ease of operationVSLoss of information

Solution Approach 1:

The patent applies dynamics by making the user interface content dynamically adjustable based on the user's age. The system automatically morphs and adapts visual content, layout, and interactivity levels as the user ages, transitioning from child-friendly to adult-oriented interfaces. This dynamic adaptation maintains continuous engagement by ensuring content remains age-appropriate while preserving educational value throughout the user's development.

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The patent implements parameter changes by modifying multiple UI parameters simultaneously - visual complexity, interactivity level, content depth, and narrative style - based on the user's age parameter. The system tracks age progression and adjusts these parameters to optimize both engagement and information retention, transforming static educational materials into adaptive experiences that evolve with the user.

Inventive Principle:
Principle #35Parameter changes

2Reliability

If parental control is implemented in the software application, then safety and oversight are improved, but user autonomy and independence are reduced

Engineering Contradiction:
ImprovesafetyVSAvoidautonomy
Core Design Contradiction:
ReliabilityVSAdaptability or versatility

Solution Approach 1:

The patent applies dynamics to parental control mechanisms by making them automatically adaptive to the child's age. Parental controls are enforced strictly for younger children but gradually relax and morph as the child ages. The system dynamically adjusts the level of oversight, transitioning from rigid parental control to guided independence, and finally to full autonomy, ensuring safety while fostering developmental independence.

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The patent implements preliminary action by pre-configuring age-based autonomy milestones and control relaxation schedules. The system proactively prepares for transitions by gradually introducing independent features before the child reaches certain age thresholds, allowing smooth progression from controlled to autonomous usage patterns without abrupt changes that could compromise safety or independence.

Inventive Principle:
Principle #10Preliminary action

3Ease of manufacture

If static user interface content is provided, then development and maintenance are simplified, but user engagement and interest decrease

Engineering Contradiction:
Improvecontent creationVSAvoidengagement
Core Design Contradiction:
Ease of manufactureVSEase of operation

Solution Approach 1:

The patent resolves this contradiction by implementing a dynamic content generation system that automatically adapts static template content based on user age parameters. Rather than creating entirely new content for each age group, the system uses parameter-driven transformations of base templates, maintaining ease of content creation while achieving dynamic engagement through automated morphing and adaptation of visual elements, layout, and interactivity.

Inventive Principle:
Principle #15Dynamics

4Reliability

If comprehensive monitoring and control features are added to the software, then parental oversight capability is improved, but system complexity increases

Engineering Contradiction:
Improveoversight capabilityVSAvoidsystem complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent applies universality by designing a multi-functional parental control system that handles multiple oversight tasks through a single integrated architecture. The system provides activity monitoring, content control, time management, and communication oversight through unified parental controls that adapt to age groups, reducing the need for separate complex subsystems while maintaining comprehensive oversight capability across different user stages.

Inventive Principle:
Principle #6Universality (Multi-functionality)

Data Source

PatentUS20250299597A1Personalized and gamified learning experience
Publication Date: 2025.09.25 THE TORONTO DOMINION BANK
  • US20250299597A1 patent drawing
  • US20250299597A1 patent drawing
  • US20250299597A1 patent drawing

AI summary

An example operation may include one or more of onboarding an account with a software application, wherein the onboarding comprises storing a characteristic of the account within an account profile of the software application, creating an avatar for the account within the software application, generating and displaying pages of visual aids including the avatar on a user interface of the software application as the account interacts with the pages of the visual aids, determining that the account has interacted with a visual aid and implemented training described within the visual aid based on the account interaction with the software application, and in response, changing a position of the avatar within the pages of the visual aids to reflect the implemented training. An artificial intelligence (AI) model can be trained and/or executed when performing at least one portion of the example operation.