System and method for a computerized learning system
First Claim
1. A method of generating learning tools within a computerized learning system, comprising:
- storing a plurality of learning tools within a database, each one of the plurality of learning tools being associated with a plurality of characteristics;
obtaining observations through interaction of a user with the computerized learning system;
using a non-linear filter to update a conditional estimate of a signal representing a characteristic of the user based on the observations;
receiving a request in the form of a distribution of desired characteristics; and
using the conditional estimate of the signal, generating a subset of the plurality of learning tools having a plurality of characteristics satisfying the requested distribution of desired characteristics.
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Abstract
There is a computerized learning system and method which updates a conditional estimate of a user signal representing a characteristic of a user based on observations including observations of user behavior. The conditional estimate may be updated using a non-linear filter. Learning tools may be generated using the computerized learning system based on distributions of desired characteristics of the learning tools. The learning tools may include educational items and assessment items. The learning tools may be requested by a user or automatically generated based on estimates of the user'"'"'s characteristics. Permissions may be associated with the learning tools which may only allow delegation of permissions to other users of lower levels. The learning system includes a method for annotating learning tools and publishing those annotations. In-line text editors of scientific text allow users to edit and revised previously published documents.
74 Citations
19 Claims
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1. A method of generating learning tools within a computerized learning system, comprising:
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storing a plurality of learning tools within a database, each one of the plurality of learning tools being associated with a plurality of characteristics; obtaining observations through interaction of a user with the computerized learning system; using a non-linear filter to update a conditional estimate of a signal representing a characteristic of the user based on the observations; receiving a request in the form of a distribution of desired characteristics; and using the conditional estimate of the signal, generating a subset of the plurality of learning tools having a plurality of characteristics satisfying the requested distribution of desired characteristics. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19)
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Specification