Knowledge Landscape Map for Non-Linear Learning Navigation
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Solution Overview
Problem
Existing content delivery and interactive learning systems are linear, limiting the organization and presentation of information, making it inefficient for non-linear learning, failing to integrate multidisciplinary knowledge, and lacking in search functionality and annotation capabilities, leading to inefficient use of resources and user experience.
Innovation Solution
A data processing system that presents information as a knowledge landscape map with interconnected nodes and connectors, allowing users to explore and interact with media content in a non-linear fashion, enabling customized learning paths and efficient access to relevant information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If linear content delivery systems are used, then content can be delivered in a simple sequential manner, but the system cannot support non-linear learning paths or multidisciplinary knowledge integration
Solution Approach 1:
The patent transforms the traditional linear one-dimensional content delivery into a multi-dimensional knowledge landscape map where content nodes can be connected in multiple directions and relationships. This allows learners to navigate through knowledge spaces in non-linear paths while exploring multidisciplinary connections, resolving the contradiction between flexibility and complexity.
Solution Approach 2:
The knowledge landscape is segmented into discrete interconnected nodes representing different knowledge topics and media content. Each node can be independently accessed and explored, enabling non-linear learning paths while maintaining manageable system organization through the node-connector structure.
2Loss of time
If linear sequential presentation is used, then content organization is simple, but search efficiency and information location speed deteriorate
Solution Approach 1:
The patent introduces a knowledge landscape map as an intermediary layer between the learner and the media content library. This map provides visual navigation and direct linking capabilities, allowing learners to quickly locate and access specific information without sequential searching through linear content, thus reducing information location time while maintaining organized data structure.
3Productivity
If traditional linear systems are used, then bandwidth consumption is manageable, but computational resources are inefficiently used due to downloading unnecessary data
Solution Approach 1:
The system enables learners to access only the specific knowledge nodes and media content they need rather than downloading entire linear content sequences. This partial action approach allows selective retrieval of relevant information, improving computational efficiency by processing only necessary data while reducing bandwidth consumption by avoiding transmission of unnecessary content.
4Adaptability or versatility
If linear content delivery is used, then system functionality is simple, but annotation and exercise completion capabilities are limited
Solution Approach 1:
The patent merges multiple functionalities including content delivery, knowledge mapping, annotation, and exercise completion into a unified interactive knowledge landscape system. The node-connector structure serves as a common framework that supports both content navigation and interactive learning activities, increasing versatility while managing complexity through integrated design.
Data Source
AI summary
An information delivery system allows for the organization and presentation of information to users. Illustratively, aspects of the disclosure correspond to a system and method which provides for interactive information delivery, or interactive learning. More particularly, a platform is disclosed which provides an independent interactive interface for content delivery and e-learning and for creation of teaching or learning presentations.