AI-Guided Knowledge Structure for Mastery-Based Game Feature Unlocks

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Solution Overview

Problem

Traditional educational platforms fail to provide a meaningful connection between learner progress and learning objectives, often leading to superficial understanding and knowledge gaps, as they primarily focus on task completion rather than mastery of fundamental concepts.

Innovation Solution

A system and method that transforms a computer display into a dynamic knowledge structure, visually representing hierarchical knowledge levels and mastery, using a base knowledge structure that grows as users achieve educational milestones, and employs AI to unlock new game features based on mastery levels, highlighting gaps and providing a motivating learning experience.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If traditional educational platforms use progress bars, points, or badges to indicate learner progress, then task completion is visually represented, but meaningful connection with learning objectives is not provided

Engineering Contradiction:

Improvevisual representation of progressVSAvoidconnection with learning objectives

Core Design Contradiction:

Ease of operationVSLoss of information

Solution Approach 1:

The knowledge structure is segmented into hierarchical levels (foundation, intermediate, advanced) with distinct visual representations. Each level contains specific knowledge concepts that are visually differentiated, allowing learners to see not just overall progress but also the structured progression through different knowledge domains and their relationships to learning objectives.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The system transitions from traditional one-dimensional progress indicators to a multi-dimensional knowledge structure visualization. The knowledge structure displays multiple dimensions including hierarchical levels, knowledge concepts, prerequisites, and mastery states simultaneously, providing both visual progress representation and meaningful connection to learning objectives through the structured arrangement of knowledge elements.

Inventive Principle:

Principle #17Another dimension (Dimensionality change)

2Productivity

If learners complete lessons focusing on task completion, then progress is achieved, but thorough understanding of fundamental concepts is not ensured

Engineering Contradiction:

Improvetask completion rateVSAvoidmastery of fundamental concepts

Core Design Contradiction:

ProductivityVSMeasurement precision

Solution Approach 1:

The system provides continuous feedback by visually updating the knowledge structure as learners interact with content. The knowledge structure dynamically reflects mastery status of individual concepts and prerequisites, allowing learners to see the direct connection between their actions and their progress toward genuine conceptual mastery rather than just task completion.

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

The knowledge structure pre-establishes the hierarchical relationships and prerequisite requirements before learners begin. By displaying which concepts are foundational and which build upon them, the system guides learners to focus on fundamental concepts first, ensuring thorough understanding before progressing to more complex tasks.

Inventive Principle:

Principle #10Preliminary action

3Productivity

If students attempt questions without deep understanding, then task completion increases, but knowledge gaps remain

Engineering Contradiction:

Improvequestion completion rateVSAvoidfoundational knowledge gaps

Core Design Contradiction:

ProductivityVSLoss of information

Solution Approach 1:

The knowledge structure is dynamic and adapts as learners progress. It visually updates to show which concepts are mastered and which remain as knowledge gaps. The structure can collapse or expand based on learner needs, providing targeted support for foundational concepts that need reinforcement while allowing efficient progression through already-mastered material.

Inventive Principle:

Principle #15Dynamics

Data Source

PatentUS20250360419A1System and method for utilizing knowledge structure to add new game features in a gaming environment

Publication Date: 2025.11.27 2HR LEARNING INC

AI summary

A method is disclosed for guiding an Artificial Intelligence (AI) engine to unlock new features within an online gaming platform based on a user's academic progress. The method includes providing a user interface that enables interaction with the gaming platform and creating a base knowledge structure stored within the user's profile, representing skills and knowledge acquired. As the user achieves educational milestones, the knowledge structure is incrementally increased in height, with each level signifying a corresponding advancement in learning. A prompt is generated to guide the AI engine in unlocking new game features when the knowledge structure reaches predefined thresholds. The prompt is transmitted to the AI engine, which then activates the new features within the gaming environment during gameplay. This approach incentivizes academic achievement by linking educational progress to enhanced in-game experiences, thereby promoting learning through interactive gaming.