| 主权项 |
1. A method of maintaining a learning vector comprising:
automatically generating a learning object network, wherein generating the learning object network comprises:
receiving a plurality of content objects from a plurality of data sources via a network at a processor, wherein each of the learning objects comprises an aggregation of learning content that is associated with an assessment;automatically identifying on the processor a first learning object, wherein the first learning object comprises a first aggregation of learning content, wherein the aggregation of learning content is associated with an assessment;automatically identifying on the processor a second learning object, wherein the second learning object comprises a second aggregation of learning content, wherein the aggregation of learning content is associated with an assessment;automatically identifying on the processor a prerequisite relationship between the first learning object and the second learning object, wherein the first learning object is a prerequisite to the second learning object;automatically generating on the processor a learning vector connecting the first learning object and the second learning object, the learning vector comprising a direction and a strength, wherein the direction of the learning vector indicates that the first learning object is a prerequisite of the second learning object, and the strength of the learning vector indicates a likelihood of a student successfully traversing the learning vector, wherein the strength of the learning vector varies with respect to a student context, wherein the student context describes an attribute of the student; andrepeating the generating of learning vectors until the plurality of content objects are connected; receiving an input from a first student device via the network; automatically identifying a student user of the first student device based on the received input and information retrieved from a student database; automatically retrieving information relating to a plurality of learning object networks; automatically identifying with the processor one of the plurality of learning object networks relevant to the student user of the first student device; automatically receiving at the processor an input indicative of the traversal of the learning vector, wherein the input is received from the first student device via a network, wherein the input identifies a student property and the effectiveness of the learning vector; automatically determining on the processor a value according to a Boolean function, wherein the value comprises a first value when the input indicative of the traversal of the learning vector indicates a desired outcome and wherein the value comprises a second value when the input indicative of the traversal of the learning vector indicates an undesired outcome, and automatically determining that the student context of the student corresponds to a context of a first at least one student that previously traversed the learning vector when the first value is determined; automatically strengthening the learning vector when the first value is determined and when the student context of the student corresponds to the context of the first at least one student that previously traversed the learning vector; receiving an identifier from a second student device via a network; automatically identifying a second student context associated with the user of the second student device; automatically varying the magnitudes of the learning vectors connecting the plurality of content objects based on the second student context; automatically providing the first learning object to the second student device via a network, wherein the second student device is selected for receipt of the first learning object based on the learning vector and student information retrieved by the processor from the student database when the learning vector is strengthened; receiving an indicator of completion of the provided first learning object; and automatically generating and sending a communication to the second student device, wherein the communication comprises an enhancement object automatically triggered for providing to the student via a threshold, wherein the enhancement object is outside of the learning path of the provided first learning object, and wherein the communication activates a user interface of the second student device to provide the enhancement object to the user via a screen of the second student device. |
