Abstract: A system and method for delivery of an online course, customized to a student based on captured student's actions in interacting with the course is disclosed. The actions are compared to actions of others, where the actions of others are correlated with known learning results. In part, such comparison involves tagged content and the tagging process is also a part of the present invention.
Type:
Grant
Filed:
September 23, 2020
Date of Patent:
September 13, 2022
Assignee:
Zoomi, Inc.
Inventors:
Christopher Greg Brinton, Mung Chiang, Sangtae Ha, William D. Ju, Stefan Rudiger Rill, James Craig Walker, Elizabeth Tenorio
Abstract: A system and method to optimize learning efficacy and efficiency in an online course is disclosed. In particular, the methods include customizing the sequence of delivery of course content as the course is being delivered, in a way that does not necessitate upfront input from an instructor/author or anyone else, beyond what which would be provided for a standard, non-adaptive course already. The present invention is also directed to a system to implement said customization and individualization methods. The present method is further directed to a linear flow of delivered materials, but the flow is dependent upon student actions in the course, among other conditions. In the present invention, individualized adaptation is based on this input, but can be augmented with additional information provided by instructors, if desired, as well.
Type:
Grant
Filed:
July 6, 2016
Date of Patent:
July 2, 2019
Assignee:
Zoomi, Inc.
Inventors:
Christopher Greg Brinton, Weiyu Chen, Mung Chiang, Sangtae Ha, Stefan Ruediger Rill