Concept Tracking and Segmented Content for Knowledge Gaps

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Solution Overview

Problem

Conventional learning systems struggle to accurately assess and adapt to a user's specific knowledge gaps, often presenting entire content items that may not be relevant to the user's needs, leading to inefficient learning experiences.

Innovation Solution

A system that tracks concepts within content items using time stamps and clustering methods, recommends relevant segments based on user assessment, and adjusts playback to focus on specific concepts, enhancing adaptivity and relevance.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If the system presents entire content items to users, then users receive comprehensive learning materials, but users are exposed to irrelevant content that does not address their specific knowledge gaps

Engineering Contradiction:

Improveadaptability to user knowledge gapsVSAvoidrelevance of presented content

Core Design Contradiction:

Adaptability or versatilityVSLoss of information

Solution Approach 1:

The patent segments content items into discrete concept-based units using time stamps. Each content item is divided into multiple segments, each associated with specific concepts identified through clustering analysis. This allows the system to present only the relevant segments to users based on their knowledge gaps, rather than presenting entire content items, thereby improving adaptability while maintaining content relevance.

Inventive Principle:

Principle #1Segmentation

2Ease of operation

If the system assesses user knowledge based on user statements, then the assessment process is simple, but the accuracy of knowledge level detection is imprecise

Engineering Contradiction:

Improvesimplicity of assessment processVSAvoidaccuracy of knowledge level assessment

Core Design Contradiction:

Ease of operationVSMeasurement precision

Solution Approach 1:

The patent implements a feedback mechanism where user responses to content are analyzed to update their knowledge profile. The system tracks user interactions with segmented content, analyzes responses through clustering methods, and uses this feedback to refine knowledge level assessments. This continuous feedback loop improves measurement precision while maintaining ease of operation through automated analysis.

Inventive Principle:

Principle #23Feedback

3Reliability

If the system presents all content segments associated with a topic, then users receive complete coverage of the topic, but the learning experience becomes inefficient due to redundant content

Engineering Contradiction:

Improvecompleteness of topic coverageVSAvoidlearning efficiency

Core Design Contradiction:

ReliabilityVSProductivity

Solution Approach 1:

The patent applies local quality by differentiating the presentation of content segments based on individual user needs. Instead of uniformly presenting all segments associated with a topic, the system identifies and presents only the specific segments relevant to each user's knowledge gaps. This localized approach ensures reliable topic coverage while improving learning efficiency by eliminating redundant content for each user.

Inventive Principle:

Principle #3Local quality

Data Source

PatentUS12406591B2Tracking concepts and presenting content in a learning system

Publication Date: 2025.09.02 OBRIZUM GRP LTD

AI summary

Systems and methods of recommending content items are disclosed. User characteristics of a user are determined based on user engagement with one or more content items. A user model configured to predict a knowledge level of the user is generated, the user model including a set of nodes based on the user characteristics. The user model is applied to predict the knowledge level, and a recommendation is generated of at least a portion of a content item (e.g., a segment of audio/video media) based, at least in part, on the predicted knowledge level.