G09B7/12

SYSTEMS AND METHODS FOR AUTOMATED RESPONSE DATA SENSING-BASED NEXT CONTENT PRESENTATION
20180286262 · 2018-10-04 ·

Systems and methods for automatic generation of a content presentation plan are disclosed herein. The method can include receiving content identification information, retrieving objective information for the one or several objectives identified for inclusion in a content presentation plan, identifying at least one prerequisite skill for completion of at least one of the one or several objectives, generating at least one remediation question configured to delineate between users having mastery of the at least one prerequisite skill and users not having mastery of the at least one prerequisite skill, pre-selecting remedial content for providing to users identified as not having mastery of the at least one prerequisite skill, selecting objective content corresponding to the at least one objectives, and creating a content presentation plan containing the at least one remediation question, the remedial content, and the objective content.

SYSTEMS AND METHODS FOR AUTOMATED RESPONSE DATA SENSING-BASED NEXT CONTENT PRESENTATION
20180286267 · 2018-10-04 ·

Systems and methods for automatic generation of a content presentation plan are disclosed herein. The method can include receiving content identification information, retrieving objective information for the one or several objectives identified for inclusion in a content presentation plan, identifying at least one prerequisite skill for completion of at least one of the one or several objectives, generating at least one remediation question configured to delineate between users having mastery of the at least one prerequisite skill and users not having mastery of the at least one prerequisite skill, pre-selecting remedial content for providing to users identified as not having mastery of the at least one prerequisite skill, selecting objective content corresponding to the at least one objectives, and creating a content presentation plan containing the at least one remediation question, the remedial content, and the objective content.

SYSTEMS AND METHODS FOR AUTOMATED RESPONSE DATA SENSING-BASED NEXT CONTENT PRESENTATION
20180286267 · 2018-10-04 ·

Systems and methods for automatic generation of a content presentation plan are disclosed herein. The method can include receiving content identification information, retrieving objective information for the one or several objectives identified for inclusion in a content presentation plan, identifying at least one prerequisite skill for completion of at least one of the one or several objectives, generating at least one remediation question configured to delineate between users having mastery of the at least one prerequisite skill and users not having mastery of the at least one prerequisite skill, pre-selecting remedial content for providing to users identified as not having mastery of the at least one prerequisite skill, selecting objective content corresponding to the at least one objectives, and creating a content presentation plan containing the at least one remediation question, the remedial content, and the objective content.

AUTOMATED TECHNIQUES FOR TEACHING LANGUAGE
20180165981 · 2018-06-14 ·

Techniques are described herein for automating the teaching of language arts in a manner that directly engages students. In one embodiment, a display device of a computer system, as part of a first automated activity, displays a definition of a particular word without depicting the particular word itself. A plurality of draggable prefixes, roots and suffixes that belong to the particular word are displayed. A first position, on the screen display, is established to which a user may drag one of the draggable prefixes. A second position, on the screen display, is established to which the user may drag one of the draggable roots. A third position, on the screen display, is established to which the user may drag one of the draggable suffixes. In response to the user dragging a particular draggable prefix to the first position, dragging a particular draggable root to the second position, and dragging a particular suffix to the third position, the system generates an indication of success if the particular word is formed by combining the particular draggable prefix, the particular draggable root, and the particular draggable suffix.

AUTOMATED TECHNIQUES FOR TEACHING LANGUAGE
20180165981 · 2018-06-14 ·

Techniques are described herein for automating the teaching of language arts in a manner that directly engages students. In one embodiment, a display device of a computer system, as part of a first automated activity, displays a definition of a particular word without depicting the particular word itself. A plurality of draggable prefixes, roots and suffixes that belong to the particular word are displayed. A first position, on the screen display, is established to which a user may drag one of the draggable prefixes. A second position, on the screen display, is established to which the user may drag one of the draggable roots. A third position, on the screen display, is established to which the user may drag one of the draggable suffixes. In response to the user dragging a particular draggable prefix to the first position, dragging a particular draggable root to the second position, and dragging a particular suffix to the third position, the system generates an indication of success if the particular word is formed by combining the particular draggable prefix, the particular draggable root, and the particular draggable suffix.

CONTENT SELECTION BASED ON PREDICTED PERFORMANCE RELATED TO TEST CONCEPTS
20180144655 · 2018-05-24 ·

Examples disclosed herein relate to content selection based on predicted performance related to test concepts. In one implementation, a processor selects a content element based on a comparison of associated predicted likelihood of improvement related to the test concepts and a correlation level to the test concepts. The processor may output information related to the selected content element.

CONTENT SELECTION BASED ON PREDICTED PERFORMANCE RELATED TO TEST CONCEPTS
20180144655 · 2018-05-24 ·

Examples disclosed herein relate to content selection based on predicted performance related to test concepts. In one implementation, a processor selects a content element based on a comparison of associated predicted likelihood of improvement related to the test concepts and a correlation level to the test concepts. The processor may output information related to the selected content element.

Detection of unauthorized information exchange between users

Detection and prevention of unauthorized exchange of information between users of user devices is disclosed. Monitoring data associated with respective information received by the user devices from respective users may be received. Position information indicating proximity or relative positions of the devices may also be received. The monitoring data and/or the position information may be analyzed to determining whether unauthorized information exchange between users may be occurring. One or more metrics indicating a likelihood that unauthorized information exchange is occurring may be generated based on the analysis of the monitoring data and/or the position information. A generated metric may be compared to an associated threshold and preventive measures for deterring unauthorized information exchange may be identified based on a result of the comparison.

Generating multiple choice questions and answers based on document text

An approach is provided that improves a question answering (QA) computer system by ingesting a set of documents into a corpus of a first QA system. A multiple choice test is generated from the set of documents. The multiple choice test includes any number of questions, with each of the questions having a correct answer and one or more candidate, or wrong answers. The questions and answers are retrieved from the set of documents. The approach identifies concepts that correspond to each of the questions. The candidate answers corresponding to each of the questions are generated based on the identified concepts that pertaining to the respective questions. In this manner, the candidate answers are designed to be misleading in light of the respective questions. A subject, such as a second QA system, is tested using the generated multiple choice test.

Generating multiple choice questions and answers based on document text

An approach is provided that improves a question answering (QA) computer system by ingesting a set of documents into a corpus of a first QA system. A multiple choice test is generated from the set of documents. The multiple choice test includes any number of questions, with each of the questions having a correct answer and one or more candidate, or wrong answers. The questions and answers are retrieved from the set of documents. The approach identifies concepts that correspond to each of the questions. The candidate answers corresponding to each of the questions are generated based on the identified concepts that pertaining to the respective questions. In this manner, the candidate answers are designed to be misleading in light of the respective questions. A subject, such as a second QA system, is tested using the generated multiple choice test.