A method and system for online proctoring of tests while preserving privacy of test-taker is disclosed. Proctoring data, which include video and audio data from at least one camera and a microphone monitoring the test-taker and the test environment, is chopped up into data fragments. Each fragment is altered to replace personally identifiable information, and the altered fragment is encrypted using a cryptographic key. The chronological order of fragments is also scrambled. Encrypted and altered data fragments are distributed to a pool of proctors who review the encrypted fragment for suspicious behavior. Suspicious fragments are further compared with original, unaltered versions of the fragments to confirm suspicious behavior, and render a verdict. The test-taker is aware of, and explicitly consents to the processing of a fragment by a proctor. A secure, custom viewer for the fragments also allows the test-taker to control the number of times a proctoring data segment can be viewed. Our method and system ensure the privacy of the proctoring data by explicitly authorizing every entity that processes a proctoring data fragment, and limiting number of views of the fragment, while allowing independent evaluation of proctoring data for different forms of cheating.

Implementations described herein relate to methods, systems, and computer-readable media for accessible computer-user interactions. For example, a method can include displaying a graphical user interface on a display screen. The graphical user interface includes a virtual assessment, the virtual assessment is representative of an assessment examination, and the graphical user interface further comprises a graphical element that represents a portion of a logical problem of the assessment examination. The method can also include receiving a signal indicative of placement of a physical object onto the display screen above the graphical element, repositioning the graphical element responsive to physical movement of the physical object on the display screen, and generating a portion of an assessment score based at least in part on one or more of: physical movement of the physical object on the display screen, the signal, or the repositioning of the graphical element.

The present disclosure provides systems and methods for modifying teaching content based on localized cultural and contextual factors. A system can maintain an entity relationship database including semantic triples. The system can identify entities from text content of an information resource. The system can generate, based on the semantic triples, an entity graph including nodes. Each node corresponds to a respective entity identified from the text content. The system can receive an indication to replace a first entity corresponding to a first node with a first replacement entity. The system can determine to replace a second entity corresponding to a second node with a second replacement entity based on the semantic triples and a connection between the first node and the second node. The system can generate processed text content based on the text content, the first replacement entity and the second replacement entity.

The present disclosure provides systems and methods for modifying teaching content based on localized cultural and contextual factors. A system can maintain an entity relationship database including semantic triples. The system can identify entities from text content of an information resource. The system can generate, based on the semantic triples, an entity graph including nodes. Each node corresponds to a respective entity identified from the text content. The system can receive an indication to replace a first entity corresponding to a first node with a first replacement entity. The system can determine to replace a second entity corresponding to a second node with a second replacement entity based on the semantic triples and a connection between the first node and the second node. The system can generate processed text content based on the text content, the first replacement entity and the second replacement entity.

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. The connections may be represented by logical indicators of relationships defined between the learning resources and the skills.

A method of developing and managing a training program that includes displaying a parameter selection window, receiving a selection of values of parameters to define a first training program, wherein the values of the parameters are rated on a first challenge level scale, determining a predicted performance level of a learner taking the first training program, the predicted performance level determined based on actual performance data of the learner and rated on a second challenge level scale, comparing the predicted performance level to a desired outcome, displaying results of the comparison if a difference between the predicted performance level and the desired outcome is greater than a threshold, receiving an adjustment to the values of the parameters to define a second training program, wherein the second training program has a different challenge level relative to the first training program, and administering the second training program to the learner.

A method of developing and managing a training program that includes displaying a parameter selection window, receiving a selection of values of parameters to define a first training program, wherein the values of the parameters are rated on a first challenge level scale, determining a predicted performance level of a learner taking the first training program, the predicted performance level determined based on actual performance data of the learner and rated on a second challenge level scale, comparing the predicted performance level to a desired outcome, displaying results of the comparison if a difference between the predicted performance level and the desired outcome is greater than a threshold, receiving an adjustment to the values of the parameters to define a second training program, wherein the second training program has a different challenge level relative to the first training program, and administering the second training program to the learner.

A method of targeted program transmission is provided. The method includes receiving participant data, where the participant data includes profile data and interaction data specific to the participant and making a comparison of the interaction data with an interaction threshold. Some embodiments include determining whether the participant satisfies the interaction threshold with a first programming in a first format with a first supervision level, and predicting a likelihood of the participant satisfying an additional interaction threshold associated with a second programming in a second format. In response to determining that the likelihood of the participant satisfying the additional interaction threshold exceeds a predetermined likelihood threshold, embodiments may identify the second programming in the second format for transmission to a participant device, the second format corresponding to a second supervision level that is lower than the first supervision level, and transmit data related to the second programming in the second format.

Systems and methods for providing a universal platform for at-home health testing and diagnostics are provided herein. In particular, a health testing and diagnostic platform is provided to connect medical providers with patients and to generate a unique, private testing environment. In some embodiments, the testing environment may facilitate administration of a medical test to a patient with the guidance of a proctor. In some embodiments, the patient may be provided with step-by-step instructions for test administration by the proctor within a testing environment. The platform may display unique, dynamic testing interfaces to the patient and proctor to ensure proper testing protocols and accurate test result verification.

In some embodiments, a method includes receiving an input including an educational objective for a user having an associated user device. The method includes sending a signal to receive Global Positioning System (GPS) transit data associated with a transit from a first location and a second location. The method further includes determining, based on a set of parameters and the GPS transit data, an effective transit time and selecting a set of educational content files that meet the educational objective. The method includes selecting, based on the effective transit time, a subset of the set of parameters and at least one characteristic associated with each educational content file, a subset of educational content files. The method further includes determining an order for the subset of educational content files to provide the subset of educational content files to the user device within the effective transit time to meet the educational objective.