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

Claim 11:
12. A method comprising:
retrieving assessment data from a source database, the assessment data corresponding to a plurality of digital assessment items comprising a plurality of assessment item parts;
determining first content health scores for each of a plurality of subcontent elements of a content element, the plurality of subcontent elements corresponding to a first hierarchical content level and the content element corresponding to a second hierarchical content level, wherein determining a first content health score for a first subcontent element of the plurality of subcontent elements comprises:
determining first metric values for a plurality of first metrics for the first subcontent element based on responses submitted to the plurality of assessment item parts by a sample population of responders, wherein at least one metric value of the first metric values is determined by performing weighted harmonic averaging of the first content health scores of the subcontent elements of the content element;
determining first metric scores for each of the first metrics based on the first metric values;
assigning first weight values to each of the first metrics;
determining first reliability values for each of the first metrics based on at least a size of the sample population of responders; and
determining a first content health score of the first content health scores for the first subcontent element based on the first metric scores, the first weight values, and the first reliability values;

receiving, from a client device, a request for a content analytics interface corresponding to the content element;
generating the content analytics interface, the content analytics interface comprising a listing of the subcontent elements and the first content health scores corresponding to the subcontent elements; and
causing the content analytics interface to be displayed at the client device.