Systems and methods for automatic cohort misconception remediation

Abstract

Systems and methods for content selection with first and second recommendation engines are disclosed herein. The system can include a memory include a content library database and a model database. The system can include a user device having a first network interface and a first I/O subsystem. The system can include one or more servers that can include a packet selection system and a presentation system. These one or more servers can: receive response data from the user device; provide received response data to a first recommendation engine; alert a second recommendation engine when a selected next node is a placeholder node; retrieve at least one statistical model relevant to selection of next node content; and select next node content based on an output of the at least one statistical model.

The invention claimed is: 
     
         1 . A system, comprising:
 a server including a hardware computing device coupled to a content network and including at least one processor executing within a memory instructions that, when executed, cause the system to:
 identify a common attribute among a plurality of users authenticated to the system; 
 determine, for each user in the plurality of users, a location within the content network; 
 identify a question associated with a next content node within a plurality of potential next content nodes, wherein the next content node is determined by the locations of the plurality of users within the content network; and 
 transmit the question associated with the next content node to a user device coupled to the content network for presentation. 
   
     
     
         2 . The system of  claim 1 , wherein the instructions further cause the system to receive a response to the question, received by each of the plurality of users. 
     
     
         3 . The system of  claim 2 , wherein the instructions further cause the system to identify, within the response, an incorrect response. 
     
     
         4 . The system of  claim 3 , wherein the incorrect response indicates a misconception by the plurality of users. 
     
     
         5 . The system of  claim 4 , wherein the instructions further cause the system to update a metadata within a database to indicate the misconception. 
     
     
         6 . The system of  claim 4 , wherein the instructions further cause the system to update a model stored in a model database to reflect the misconception. 
     
     
         7 . The system of  claim 6 , wherein the instructions further cause the system to identify a next node content, according to the model as updated. 
     
     
         8 . The system of  claim 7 , wherein the next node is also identified according to at least one feature within the common attribute. 
     
     
         9 . The system of  claim 7 , wherein the next node content includes a remediation content. 
     
     
         10 . The system of  claim 7 , wherein the instructions further cause the system to transmit the next node content to a user device coupled to the content network, for presentation. 
     
     
         11 . A method, comprising the steps of:
 identifying, by a server including a hardware computing device coupled to a content network and including at least one processor executing within a memory, a common attribute among a plurality of users authenticated to the system;   determining, by the server, for each user in the plurality of users, a location within the content network;   identifying, by the server, a question associated with a next content node within a plurality of potential next content nodes, wherein the next content node is determined by the locations of the plurality of users within the content network; and   transmitting, by the server, the question associated with the next content node to a user device coupled to the content network for presentation.   
     
     
         12 . The method of  claim 11 , further comprising the step of receiving, by the server, a response to the question, received by each of the plurality of users. 
     
     
         13 . The method of  claim 12 , further comprising the step of identifying, by the server, within the response, an incorrect response. 
     
     
         14 . The method of  claim 13 , wherein the incorrect response indicates a misconception by the plurality of users. 
     
     
         15 . The method of  claim 14 , further comprising the step of updating, by the server, a metadata within a database to indicate the misconception. 
     
     
         16 . The method of  claim 14 , further comprising the step of updating, by the server, a model stored in a model database to reflect the misconception. 
     
     
         17 . The method of  claim 16 , further comprising the step of wherein identifying, by the server, a next node content, according to the model as updated. 
     
     
         18 . The method of  claim 17 , wherein the next node is also identified according to at least one feature within the common attribute. 
     
     
         19 . The method of  claim 17 , wherein the next node content includes a remediation content. 
     
     
         20 . The method of  claim 17 , further comprising the step of transmitting, by the server, the next node content to a user device coupled to the content network, for presentation.