Patent classifications
G09B7/10
Adaptive alertness testing system and method
A method, computer program product, and computing system for monitoring one or more environmental variables concerning a client electronic device configured to administer an alertness test to a user. A disrupter is selected for inclusion within the alertness test based, at least in part, upon the one or more environmental variables concerning the client electronic device. The alertness test is administered to the user.
Adaptive alertness testing system and method
A method, computer program product, and computing system for monitoring one or more environmental variables concerning a client electronic device configured to administer an alertness test to a user. A disrupter is selected for inclusion within the alertness test based, at least in part, upon the one or more environmental variables concerning the client electronic device. The alertness test is administered to the user.
Assessment data analysis platform and with interactive dashboards
A platform is described for analyzing assessment data, including correlating assessment data with learning outcome data, and presenting analysis results through one or more interactive dashboards. A course syllabus and/or other course described information is analyzed to identify expected target outcomes to be achieved by students of the course, and to identify a relative weight of each of the various target outcomes based on their coverage in the syllabus. Assessment data describing a digitally administered assessment is analyzed to identify the categories that are assessed in the various questions of the assessment. The assessment data, including scores on the assessment, can be presented in an interactive dashboard to indicate how well students are performing on assessments with respect to particular learning outcomes, determine question quality, and present other information regarding assessments and/or curriculum effectiveness.
Assessment data analysis platform and with interactive dashboards
A platform is described for analyzing assessment data, including correlating assessment data with learning outcome data, and presenting analysis results through one or more interactive dashboards. A course syllabus and/or other course described information is analyzed to identify expected target outcomes to be achieved by students of the course, and to identify a relative weight of each of the various target outcomes based on their coverage in the syllabus. Assessment data describing a digitally administered assessment is analyzed to identify the categories that are assessed in the various questions of the assessment. The assessment data, including scores on the assessment, can be presented in an interactive dashboard to indicate how well students are performing on assessments with respect to particular learning outcomes, determine question quality, and present other information regarding assessments and/or curriculum effectiveness.
Quality reporting for assessment data analysis platform
A platform is described for analyzing assessment data, including correlating assessment data with learning outcome data, and presenting analysis results through one or more interactive dashboards. A course syllabus and/or other course described information is analyzed to identify expected target outcomes to be achieved by students of the course, and to identify a relative weight of each of the various target outcomes based on their coverage in the syllabus. Assessment data describing a digitally administered assessment is analyzed to identify the categories that are assessed in the various questions of the test, and determine student performance with respect to particular categories. The platform provides interactive dashboards to present analysis results and provide integration with a continuous quality improvement (CQI) system for task tracking related to the analysis results.
Quality reporting for assessment data analysis platform
A platform is described for analyzing assessment data, including correlating assessment data with learning outcome data, and presenting analysis results through one or more interactive dashboards. A course syllabus and/or other course described information is analyzed to identify expected target outcomes to be achieved by students of the course, and to identify a relative weight of each of the various target outcomes based on their coverage in the syllabus. Assessment data describing a digitally administered assessment is analyzed to identify the categories that are assessed in the various questions of the test, and determine student performance with respect to particular categories. The platform provides interactive dashboards to present analysis results and provide integration with a continuous quality improvement (CQI) system for task tracking related to the analysis results.
Gap analysis on assessment data analysis platform
A platform is described for analyzing assessment data, including correlating assessment data with learning outcome data, and presenting analysis results through one or more interactive dashboards. A course syllabus and/or other course described information is analyzed to identify expected target outcomes to be achieved by students of the course, and to identify a relative weight of each of the various target outcomes based on their coverage in the syllabus. Assessment data describing a digitally administered assessment is analyzed to identify the categories that are assessed in the various questions of the test. The target outcomes are compared to the assessed categories to determine the extent to which the assessment is assessing each of the target outcomes, the degree of correspondence between the distribution of assessed categories and the distribution of target outcomes, and whether any gaps are present indicating that certain target outcomes are going unassessed or are insufficiently assessed.
Gap analysis on assessment data analysis platform
A platform is described for analyzing assessment data, including correlating assessment data with learning outcome data, and presenting analysis results through one or more interactive dashboards. A course syllabus and/or other course described information is analyzed to identify expected target outcomes to be achieved by students of the course, and to identify a relative weight of each of the various target outcomes based on their coverage in the syllabus. Assessment data describing a digitally administered assessment is analyzed to identify the categories that are assessed in the various questions of the test. The target outcomes are compared to the assessed categories to determine the extent to which the assessment is assessing each of the target outcomes, the degree of correspondence between the distribution of assessed categories and the distribution of target outcomes, and whether any gaps are present indicating that certain target outcomes are going unassessed or are insufficiently assessed.
SYSTEM AND A METHOD FOR GENERATING STRESS LEVEL AND STRESS RESILIENCE LEVEL INFORMATION FOR AN INDIVIDUAL
Disclosed herein is a system and a method for generating stress level information for an individual and stress level resilience information for an individual, which includes a stress information processing module configured to process stress information for the individual, the stress information for the individual comprising at least two of psychometric information for the individual, physiological information for the individual, behavioural information for the individual, and cognitive function information for the individual
Feedback system and method for improving performance of dialogue-based tutors
Improving performance of a dialogue-based tutor includes receiving feedback from a user associated with a natural language interaction of the user with a dialogue-based tutoring (DBT) system. The DBT system includes training data and domain-specific content. One or more feedback categories is presented to the user based upon the feedback. A selection of a feedback category from among the one or more feedback categories is received from the user. A feedback candidate is generated based upon the feedback and the selected feedback category. The feedback candidate is indicative of a potential change in one or more of the training data and the domain-specific content based upon the feedback.