Educational network based intervention
AssigneePearson Education, Inc.
InventorsSean A. York, Steven H. Hill
Life of this patent
Estimating the term…
Abstract
Methods and systems for educational intervention are disclosed. The methods can include receiving a user response and analyzing the user response and other user data to determine a user typology. The user typology can be compared with risk data that indicates the user's risk of failing to achieve a target outcome based on the identified user typology. If the user's risk of failing to achieve the target outcome exceeds a desired level, a mitigation plan can be generated and provided to the user to thereby facilitate in the attainment of the target outcome.
Claims20
A method for social network-based educational intervention comprising:
- receiving a subject prompt, wherein the subject prompt comprises information relating to a topic;
- receiving target group information, wherein the target group information identifies intended recipients of the subject prompt;
- receiving a response from a member of the target group, wherein the response is related to the subject prompt;
- receiving member information, wherein the member information identifies attributes of the member of the target group, the attributes including information relating to the member's past responses and information relating to the member's past outcomes;
- identifying a typology of the member, wherein the typology is based on the member information and the received response;
- identifying a member outcome, wherein the member outcome is an identified goal;
- determining whether the identified typology positively correlates to achievement of the member outcome;
- and
- requesting an intervention when the identified typology does not positively correlate to achievement of the member outcome.
A system for social network-based educational intervention, the system comprising:
- memory comprising:
- target group information, wherein the target group information identifies intended recipients of a subject prompt;
- and
- member information identifying attributes of the member of the target group, wherein the attributes include information relating to the member's past responses and information relating to the member's past outcomes;
- and
- a processor configured to:
- receive a subject prompt, wherein the subject prompt comprises information relating to a topic;
- receive the target group information;
- receive a response from a member of the target group, wherein the response is related to the subject prompt;
- receive the member information;
- identify a typology of the member, wherein the typology is based on the member information and the received response;
- identify a member outcome, wherein the member outcome is an identified goal;
- determine whether the identified typology positively correlates to achievement of the member outcome;
- and
- request an intervention when the identified typology does not positively correlate to achievement of the member outcome.
A method for correlating a typology to an outcome comprising:
- identifying a target outcome, wherein the target outcome comprises a goal;
- receiving user data, wherein the user data comprises information generated from user interaction via a social network and past outcomes associated with those interactions;
- identifying a subset of users within the user data that is relevant to the target outcome, wherein the subset of users shares a common typology, wherein the typology is based on information relating to the user's interaction via the social network and past user outcomes;
- adding an indicator to the user data associated with the subset of users relevant to the target outcome;
- determining a correlation between the identified typology and the target outcome, wherein the correlation indicates whether the typology positively or negatively correlates with the achievement of the target outcome;
- and
- associating an indicator of the degree of correlation between the identified typology and the target outcome with the identified typology.
Dependencies are inferred from the claim text.