Collaborative Learning System with Real-Time Analytics
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Solution Overview
Problem
Conventional Learning Management Systems (LMSs) fail to replicate the essential elements of traditional classrooms, lacking the 'what to teach and how to teach' aspects of lesson plans, and they do not provide a teacher-student relationship with dynamic student collaboration and input, leading to inadequate analytics for assessing student performance effectively.
Innovation Solution
A system and method for providing collaborative, digital learning experiences that store data for learning experiences divided into scenes with media content elements, allowing real-time user input and interaction, and providing updates based on valid user input, while mapping data to learning standards to track student performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If conventional LMSs are used to deliver online courses, then course delivery and record-keeping are automated, but they fail to provide teacher-student relationship with dynamic collaboration and lack effective analytics for student performance
Solution Approach 1:
The system implements continuous feedback mechanisms by tracking student interactions with learning content in real-time. Sensors detect student actions (viewing, pausing, rewinding, completing) and feed this data back to the server, which then provides actionable analytics to teachers about student comprehension and engagement, resolving the information loss problem while maintaining automation
Solution Approach 2:
The patent introduces an intermediary analytics layer between the automated LMS and teachers. This intermediary processes raw interaction data from multiple sources (video content, quizzes, discussions) and transforms it into meaningful performance insights, enabling effective analytics without requiring teachers to manually analyze scattered data
2Adaptability or versatility
If multiple technology interfaces are integrated in conventional virtual classrooms, then more features are available, but teacher training time and costs increase
Solution Approach 1:
The patent merges multiple separate technology interfaces (video player, quiz system, discussion forum, analytics dashboard) into a single unified LMS interface. Teachers access all features through one system rather than switching between multiple tools, maintaining versatility while reducing training requirements since they learn one integrated platform
Solution Approach 2:
The LMS is designed as a universal platform that performs multiple functions (content delivery, assessment, collaboration, analytics) within a single system. This multi-functionality allows the system to provide diverse features while requiring teachers to master only one interface, reducing training time and costs
3Measurement precision
If quizzes are used to measure student performance, then some learning outcomes are assessed, but they provide only occasional glimpses and cannot measure collaborative skills
Solution Approach 1:
The system replaces intermittent quiz-based assessment with continuous monitoring of student interactions with learning content. Sensors continuously track viewing behavior, engagement metrics, and collaboration activities, providing ongoing performance data rather than occasional snapshots, thereby increasing monitoring frequency and productivity
Solution Approach 2:
The patent changes the measurement parameters from单一的 quiz scores to multiple interaction parameters (viewing time, pause frequency, rewind behavior, collaboration contributions). This enables continuous assessment of both individual understanding and collaborative skills through diverse data points collected during normal learning activities
4Quantity of substance
If technology collects student usage data, then information on student actions is gathered, but the data cannot be easily contextualized and is scattered across different systems
Solution Approach 1:
The system segments data collection by learning objective, organizing interactions around specific educational goals rather than collecting undifferentiated usage data. Each student action is tagged and categorized according to the learning objective it relates to, enabling easy contextualization and preventing information loss through structured data organization
Solution Approach 2:
The patent introduces an intermediary data processing layer that aggregates scattered interaction data from multiple sources and contextualizes it according to learning objectives. This intermediary maps raw data to educational standards and learning goals, transforming uncontextualized usage information into meaningful performance insights
Data Source
AI summary
A system and method for providing collaborative, digital learning experiences provides a learning experience to a plurality of users on a plurality of user devices. The learning experience may be divided into multiple scenes. Each scene may include one or more elements. Each element in the learning experience provides at least one item of media content to a user. Data associated with the user accessing an element in the learning experience may be received or recorded by the element.