US 12,731,503 B2Granted

Automated alignment of education content

AssigneeRenaissance Learning, Inc.

InventorsAjay Mathew, Julianne Robar, Zecheng Chang, Bruce Bray, Jon Medin, Selvedin Alic, Robert Zieroth, Eric Stickney, Eric Swanson, Jon Stelman

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Abstract

Some embodiments of a system and methods that automate and facilitate the alignment of educational content from diverse sources are disclosed. This system and methods facilitate and enhance automated content connections. They are configured to create models that automate and facilitate the alignment of educational content from diverse sources, ranging from specific questions to instructional plans. These may be aligned independently or through a knowledge graph. This alignment includes jurisdiction dependent definitions of educational goals, such as standards and learning objectives. Model inputs include one content set being assimilated and associated metadata persisted in a data store where another content set can be added for comparison. Content is evaluated for perfect text matches and also imperfect matches that are close in semantic meaning. The system's algorithm compares multiple products, their education units of information, and academic standards as designated between various agencies. The results are provided in a user interface.

Claims20

Dependent claims

A computer-implemented method comprising:

in a server, with one or more processors and a memory, using executable code stored in the memory to cause the one or more processors to execute control actions over a network to:
provide a user interface;
access, using the one or more processors at the server, over the network, a plurality of diverse content from a plurality of varied source servers coupled to the network;
align, using a knowledge graph, the plurality of diverse content in the user interface;
use one or more jurisdiction-dependent educational criteria stored in the memory as one or more content inputs to create one or more models;
assimilate a first content input from the one or more content inputs with one particular content dataset;
persist metadata associated with the one particular content dataset in a designated data storage;
add a second content input for performing a comparative algorithm to evaluate the first content input;
evaluate the first content input to determine if it produces an output that is at least one from a perfect text match and an imperfect text match, by executing an algorithm to perform one or more comparative operations in the user interface wherein, by the user interface, the one or more processors determine a student growth rate and a student skill mastery level for a particular student;
and
execute an algorithm to compare a plurality of education products with content created for different jurisdictions, including a question and an instruction plan.

8 more elements

A system comprising:

a server, comprising one or more processors;
a memory coupled to the one or more processors, storing executable code configured to cause the one or more processors to execute control action over a network to:
provide a user interface;
access, over the network, a plurality of diverse content from a plurality of varied resource servers coupled to the network;
align, using a knowledge graph, the plurality of diverse content in the user interface;
use one or more jurisdiction-dependent educational criteria stored in the memory as content inputs to create one or more models;
assimilate a first content input with one content dataset;
persist metadata associated with the one content input in a designated data storage;
add a second content input for performing a comparative algorithm to evaluate the first content input;
evaluate the first content input to determine if the first content input is at least one of a perfect text match and an imperfect text match with the second content input, by executing an algorithm to perform one or more comparative operations in the user interface wherein, by the user interface, the one or more processors determine a student growth rate and a student skill mastery level for a particular student;
and
execute an algorithm to compare a plurality of education products with content created for different jurisdictions, including a question and an instruction plan.

9 more elements

Dependencies are inferred from the claim text.