Adaptive Lesson Package Update via Learner Assessment Feedback
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Solution Overview
Problem
Existing educational systems lack an efficient method for updating and modifying lesson packages to adapt to changing educational needs and learner interactions.
Innovation Solution
A computing system that includes an experience creation module, an experience execution module, and a learning assets database, which allows for the creation, execution, and updating of lesson packages by capturing environment sensor information, learner interactions, and assessment data to modify instructional content and enhance learning experiences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If lesson packages are updated dynamically based on learner interactions and assessment data, then educational effectiveness and personalization are improved, but system complexity and data processing requirements increase
Solution Approach 1:
The system implements feedback loops where learner interactions and assessment responses are continuously collected and used to update lesson packages. The experience execution module captures learner responses to feedback prompts, and the experience creation module uses this feedback data to dynamically modify instructional content, creating a closed-loop adaptive system.
Solution Approach 2:
The lesson packages are designed to be dynamic rather than static. The system allows instructional content to change in real-time based on learner performance and interaction data. The experience creation module generates updated lesson packages that adapt to individual learner needs, making the educational content flexible and responsive.
2Measurement precision
If comprehensive learner interaction data is captured and processed, then learning personalization is enhanced, but data processing time and computational resources increase
Solution Approach 1:
The system pre-structures lesson packages with built-in feedback prompts and assessment mechanisms embedded throughout the instructional content. This preliminary setup allows for automated data collection during learner interactions, eliminating the need for separate data gathering steps and enabling real-time processing of learner responses.
Solution Approach 2:
The experience execution module automatically captures and processes learner interaction data without requiring manual intervention. The system self-updates lesson packages based on collected assessment data, reducing the time and resources needed for manual data processing and analysis.
Data Source
AI summary
A method for execution by a computing entity for creating a learning tool regarding a topic includes issuing a representation of a first set of physicality assessment assets of a first learning object to a second computing entity. The method further includes obtaining a first assessment response in response to the representation of the first set of physicality assessment assets. The method further includes determining an undesired performance aspect of the first assessment response. The method further includes updating at least one of the first learning object and a second learning object based on the undesired performance aspect to facilitate improved performance of a subsequent assessment response.


