Personalized Microskill Video Rendering System
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Solution Overview
Problem
Existing educational technologies fail to systematically distinguish between the skills of teaching and presenting subject matter, and they do not optimally deconstruct pedagogic skills for personalized instruction in teaching how to teach.
Innovation Solution
The method identifies and dynamically organizes digitized recordings of teaching actions to render presentations that sequentially present user-selected instances of teaching microskills, using unique identifiers and selecting video models based on specified microskill identifiers, audience characteristics, and information elements, allowing for personalized instruction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If teaching skills are addressed in the aggregate, then the system is simpler to implement, but it fails to provide personalized instruction in teaching microskills
Solution Approach 1:
The patent segments teaching skills into discrete microskills with unique identifiers, allowing the system to present specific teaching microskills individually rather than as aggregated content. This segmentation enables personalized instruction by selecting and presenting specific microskill instances based on user needs while maintaining system manageability through structured organization.
2Ease of operation
If digitized teaching assets are made available via prior art methods, then accessibility is improved, but the system fails to distinguish between teaching skills and subject matter presentation
Solution Approach 1:
The patent extracts and isolates teaching microskills from subject matter content by assigning unique microskill identifiers to specific teaching actions. This extraction allows the system to separately identify and present teaching skills independent of the content being taught, preventing conflation between pedagogical techniques and subject matter while maintaining easy access to digitized assets.
3Reliability
If the system presents all teaching content sequentially, then completeness is improved, but it cannot provide targeted instruction in specific teaching microskills
Solution Approach 1:
The patent implements dynamic selection and presentation of teaching microskills based on user identification and specific needs. Rather than presenting all content sequentially, the system dynamically retrieves and presents specific microskill instances identified by users, ensuring both completeness of available resources and targeted delivery of specific teaching skills when needed.
Data Source
AI summary
A system and method for characterizing, selecting, ordering and rendering discrete elements of digitized video content to teach communications and pedagogic skills. Each of a plurality of observed or computer-generated instances of modeling of distinguishable teaching skills are recorded as digitized assets. Microskills are identified and deconstructed in the abstract from one or more of the visual and audible recordings of teaching skills modeling moments. Identifiers of microskills are associated by a human editor with recorded modeling instances and/or portions thereof. Modeling presentations are dynamically generated by a user asserting one or more microskill identifiers and a network-enabled selection, ordering and rendering of portions of modeling instances that are associated with the asserted microskill identifiers.