Abstract: In an illustrative embodiment, methods and systems for automatically evaluating content of freeform text answers involve obtaining sections of text answering a multi-dimensional reasoning question, analyzing section content of each section using AI model(s), analyzing logical connections between the sections of text, and calculating score(s) corresponding to the freeform answer based on the analyses.

Abstract: Systems and methods for conducting automated skills mastery assessments in an e-learning environment may include assessing learner engagements with learning resources to produce mastery assessments, using historic interaction data derived through the engagements to train machine learning algorithm(s) to forecast evaluation outcomes of engagements based on engagement patterns indicative of skill fading, imparting learning, initial level of mastery, and/or a difficulty of acquiring mastery, applying the learning algorithm(s) to historic user interactions with learning resources to produce predicted evaluation outcomes, and, based on any differences between predicted outcomes and actual outcomes, refining parameter(s) of a mastery assessment parameter set used in calculating the mastery assessments, where a portion of the parameters correspond to attribute(s) of connections between the learning resources and skills of a skill hierarchy.

Abstract: Systems and methods for conducting automated skills mastery assessments in an e-learning environment may include assessing learner engagements with learning resources to produce mastery assessments, using historic interaction data derived through the engagements to train machine learning algorithm(s) to forecast evaluation outcomes of engagements based on engagement patterns indicative of skill fading, imparting learning, initial level of mastery, and/or a difficulty of acquiring mastery, applying the learning algorithm(s) to historic user interactions with learning resources to produce predicted evaluation outcomes, and, based on any differences between predicted outcomes and actual outcomes, refining parameter(s) of a mastery assessment parameter set used in calculating the mastery assessments, where a portion of the parameters correspond to attribute(s) of connections between the learning resources and skills of a skill hierarchy.

Abstract: Systems and methods for conducting automated skills mastery assessments in an e-learning environment may include assessing learner engagements with learning resources to produce mastery assessments, using historic interaction data derived through the engagements to train machine learning algorithm(s) to forecast evaluation outcomes of engagements based on engagement patterns indicative of skill fading, imparting learning, initial level of mastery, and/or a difficulty of acquiring mastery, applying the learning algorithm(s) to historic user interactions with learning resources to produce predicted evaluation outcomes, and, based on any differences between predicted outcomes and actual outcomes, refining parameter(s) of a mastery assessment parameter set used in calculating the mastery assessments, where a portion of the parameters correspond to attribute(s) of connections between the learning resources and skills of a skill hierarchy.

Abstract: A system and method for managing pedagogical content are provided. A system and method may capture a screenshot of a presentation of educational or pedagogical content and convert the captured screenshot to an image. A system and method may receive comments from a student and include the comments and image in a pedagogical element, which may be stored in the student's account and may be submitted to a teacher for review, evaluation or assessment. A system and method may receive an assessment from a teacher and may include the assessment in the pedagogical element to produce a revised pedagogical element, which may be presented to the student. A system and method may provide a snapshot tool as a Flash library included in a source code of educational content.

Abstract: A system and method for managing pedagogical content are provided. A system and method may capture a screenshot of a presentation of educational or pedagogical content and convert the captured screenshot to an image. A system and method may receive comments from a student and include the comments and image in a pedagogical element, which may be stored in the student's account and may be submitted to a teacher for review, evaluation or assessment. A system and method may receive an assessment from a teacher and may include the assessment in the pedagogical element to produce a revised pedagogical element, which may be presented to the student. A system and method may provide a snapshot tool as a Flash library included in a source code of educational content.