Automated Remote Collaborative Learning Software

Technology #32940

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Illustration of the remote interaction functional relationships between instructor, local audience and remote audience in accordance with a preferred embodiment of the present inventionGraphical user interface screen capture showing what a local audience viewer would seeGraphical user interface screen capture showing what a local audience viewer would seeGraphical user interface screen capture showing what a local audience viewer would seeFlowchart of the method used to provide automated distributed learning broadcastingFlowchart of the method used to provide automated distributed learning broadcastingFlowchart of the hardware design for basic data and video flow Illustration of the RICT
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Researchers
Philip Peters
Alex Katsaros
Adam Lenz
Managed By
John Miner
Assistant Director 407.882.1136
Patent Protection

AUTOMATED REMOTE COLLABORATIVE LEARNING SOFTWARE

US Patent 8,918,819 B1

UCF researchers have developed a method and system of automated remote collaborative learning broadcasting that leverages learner comprehension to engage remote viewers. Multiple video feeds of an educational presentation—lecture, demonstration, or discussion—are presented to viewers classified as either local or remote, based on their available bandwidth for viewing and interacting with the selection of video feeds. While conventional systems don’t provide a dynamic view of an educational presentation, this new system engages remote viewers, those with limited bandwidth, by incorporating an algorithm of video feeds most commonly “in focus” for local viewers, who have greater bandwidth and can actively switch feeds with ease.

For example, local viewers will have a choice of feeds for a classroom presentation by an educator (view 1) who lectures in front of a chalkboard of written notes (view 2) while holding a model of a molecule (view 3). This system leverages the feed chosen by the most local viewers when determining the best feed to show remote viewers who don’t have the bandwidth to choose among options themselves. Another feature incorporated is a comprehension rating among local viewers to give more weight to the most engaged and understanding of the group.

Technical Details

A server receives a plurality of video feeds for a remote interaction. The server also receives a unique user identifier and bandwidth for each user viewing a remote interaction, and determines each user as either active (higher bandwidth) or passive (lower bandwidth). Active viewers receive the plurality of video feeds and select one to view largest while the other feeds remain in a thumbnail-like format. The server tracks active viewers’ video feed selection and uses this data to choose the ideal video feed, at a given time, to passive viewers with limited bandwidth.

Benefits

  • More engaged remote learners
  • Content comprehension tracking and rating
  • Fully-automated feed selection for remote viewers
  • Can be used to identify and address video sections with lower comprehension levels

Applications

  • Remote learning