US 2013/0096892 A1 · SYSTEMS AND METHODS FOR MONITORING AND PREDICTING USER PERFORMANCE

Abstract

The embodiments described herein relate performance prediction systems and methods. According to some aspects there is provided a performance prediction system comprising at least one processor, the at least one processor being configured to: define a predictive model based upon a plurality of hypothesises for predicting learner performance, each hypothesis predicting learner performance based upon at least one learner engagement activity; monitor a plurality of the learner engagement activities associated with the user identifier for that user to obtain learner engagement values for each of the learner engagement activities; generate at least one performance prediction value for each hypothesis based upon the learner engagement values associated with the hypothesis; and combine the performance prediction values for the plurality of the hypothesises to generate a combined performance prediction value for that learner.

Claims41

Dependent claims

A computer-implemented method for predicting performance of at least one learner, the method comprising:

(a) for each learner having a user identifier associated therewith:
(i) defining a predictive model based upon a plurality of hypothesises for predicting learner performance, each hypothesis predicting learner performance based upon at least one learner engagement activity;
(ii) monitoring a plurality of the learner engagement activities associated with the user identifier for that user to obtain learner engagement values for each of the learner engagement activities;
(iii) generating at least one performance prediction value for each hypothesis based upon the learner engagement values associated with the hypothesis;
and
(iv) combining the performance prediction values for the plurality of the hypothesises to generate a combined performance prediction value for the learner.

3 more elements

A performance prediction system comprising at least one processor, the at least one processor configured to:

(a) define a predictive model based upon a plurality of hypothesises for predicting learner performance, each hypothesis predicting learner performance based upon at least one learner engagement activity;
(b) monitor a plurality of the learner engagement activities associated with the user identifier for that user to obtain learner engagement values for each of the learner engagement activities;
(c) generate at least one performance prediction value for each hypothesis based upon the learner engagement values associated with the hypothesis;
and
(d) combine the performance prediction values for the plurality of the hypothesises to generate a combined performance prediction value for that learner.

2 more elements

A performance prediction system comprising at least one processor, the at least one processor configured to:

(a) define a predictive model based upon a plurality of hypothesises for predicting learner performance, each hypothesis predicting learner performance based upon at least one learner engagement activity;
(b) monitor a plurality of the learner engagement activities associated with the user identifier for that user to obtain learner engagement values for each of the learner engagement activities;
(c) generate at least one performance prediction value for each hypothesis based upon the learner engagement values associated with the hypothesis;
and
(d) combine the performance prediction values for the plurality of the hypothesises to generate a combined performance prediction value for that learner;
(e) wherein the processor is configured to determine the at least one prediction value for each hypothesis by:
(i) obtaining historical values for the plurality of learner engagement activities and corresponding historical performance data associated with one or more learners who had previously completed the learner engagement activities;
and
(ii) for each of the learner engagement activities, comparing learner engagement values for that activity with the historical values and the corresponding historical performance data for that activity to generate the at least one performance prediction value for that activity;
(f) wherein:
(i) the at least one learner is associated with a course in an electronic learning system,
(ii) the learner engagement activities are associated with a plurality of resources offered in the course,
(iii) historical values for the learner engagement activities and the corresponding performance data are associated with one or more learners who had previously completed one or more selected courses and
(iv) the combined performance prediction value is indicative of the predicted performance of the at least one learner in the course.

11 more elements

Dependencies are inferred from the claim text.

Systems and methods for monitoring and predicting user performance

Life of this patent

Systems and methods for monitoring and predicting user performance

Life of this patent

Abstract

Claims41