Patent ID: 11960493
Assignee: PEARSON EDUCATION, INC.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 8:
9. A system comprising:
a computer processor;
at least one data store in electronic communication with the computer processor that stores assessment data and content health scores; and
a computer memory in electronic communication with the computer processor and configured to store computer-readable instructions which, when executed by the computer processor cause the computer processor to:
receive a request from a client device in electronic communication with the computer processor, the request defining a content element;
in response to the request, generate a content analytics interface corresponding to the content element by:
identifying subcontent elements of the content element;
retrieving subcontent health scores from the at least one data store; and
generating a table that includes identifying information for each of the subcontent elements and that includes the subcontent health scores, the content analytics interface comprising the table;

cause the content analytics interface to be displayed at the client device; and
calculate a subcontent health score of the subcontent health scores corresponding to a subcontent element of the subcontent elements by:
retrieving the assessment data from the data store;
determining metric values for a plurality of metrics for the subcontent element based on responses submitted to one or more assessment item parts of the subcontent element by a sample population of responders, the plurality of metrics corresponding to a hierarchical content level of the subcontent element, wherein at least one metric value of the metric values is determined by performing weighted harmonic averaging of the subcontent health scores of the subcontent elements of the content element;
determining metric scores for the plurality of metrics based on the metric values;
assigning weight values to each of the plurality of metrics for the subcontent element;
determining reliability values for each of the plurality of metrics for the subcontent element; and
determining the subcontent health score for the subcontent element based on the metric scores, the weight values, and the reliability values.