Techniques described herein relate to receiving multiple sources of verified data associated with a digital credential receiver, and mapping the digital credential receiver to one or more data field data objects based on analyses of the verified data. In some embodiments, a digital credential platform server may analyze the various data sources associated with the digital credential receiver, in order to determine and calculate correlation scores between the digital credential receiver and various field data objects. A combination of analyses and/or comparisons may be used between the credential receiver data and the corresponding retrieved from field data objects, such as the digital credential objects earned by the credential receiver, the credential receiver's verified evaluation records, and/or the career phase of the digital credential receiver.

Techniques described herein relate to determining model profiles of credential receivers corresponding to particular field objects. A digital credential platform server may receive data corresponding to a plurality of credential receivers, identify particular subsets of the credential receivers associated with particular field data objects, and then determine and analyze credential receiver data to determine sets of capabilities associated with the receiver. The determined sets of capabilities associated with each credential receiver may be analyzed, and based on the analyses, one or more model profiles of capabilities may be generated for the field data object. The various analyses may include regression analyses, trained machine learning algorithms, and/or other mathematical analyses capable of identifying model capabilities profiles for credential receivers.

Techniques described herein relate to analyzing and valuating individual issuances of digital credentials to particular users within a digital credential platform. A digital credential platform server may receive and/or retrieve data relating to digital credential receivers and particular types of digital credentials. The platform server then may query data stores of field data objects and determine various field data objects associated with the particular types of digital credentials. Value data may be determined for any associated field data objects, and the platform server then may compute values for the particular types of digital credentials based on the values for the corresponding field data objects. In some cases, valuations of particular types of digital credential may depend on characteristics of credential receivers, such as the set of additional digital credentials currently or previously issued to the credential receiver, or additional factors such as individual receiver characteristics or location.

Techniques described herein relate to generating and issuing digital credentials to digital credential receivers, based on actions detected within sensor-monitored environments. Digital credential generators may include operation evaluation systems having a plurality of configurable sensors directed to detect user activity within a physical environment. Evaluation systems may monitor physical environments associated with a user, in order to detect various user actions performed within the environment during a predetermined time period. Sets of user operations may be determined based on the physical actions, and the user operations may be compared to digital credential criteria associated with a plurality of different digital credential types. The system may generate digital credentials based on the eligibility determinations for corresponding digital credential templates, and issue the digital credentials to the associated credential receivers.

Techniques described herein relate to generation and time-based degradation of digital credentials within digital credentialing environments. A digital credential generation system may include a digital credential issuer and a platform server configured to determine and implement time-based degradation of the digital credentials issued to credential receivers. Different digital credentials may have different associated degradation functions, based on the type of the digital credential and/or additional factors such as the additional credentials issued to the receiver and the monitoring data of the receiver. The magnitude values computed for issued digital credentials, using the degradation functions, may be used to determine credential expiration times, re-credentialing times and/or requirements, and the like.

Techniques relate to managing digital credentials. An operation evaluation system monitors, using sensors configured to detect physical attributes of a user in a physical environment, physical attributes of the user while the user performs a user action in a testing environment. Data corresponding to the physical attributes of the user is transmitted to one or more digital credential generators. A digital credential template associated with at least one of the physical attributes of the user is determined. For the digital credential template, a criteria associated with the digital credential template is retrieved and compared to the physical attributes. Based on the comparison, whether or not the user is eligible to receive a digital credential is determined based on the digital credential template, and, in response to determining that the user is eligible to receive a digital credential based on the digital credential template, a digital credential is generated.

Methods, systems, and apparatus, including computer-readable storage media, for course assignment by a multi-learning management system. The system can receive data from a variety of individual learning management systems offering different courses. The system can use feedback data of a user base for the system to cluster courses by predicted difficulty, and generate, from the clusters, a sequence of courses for a target user. The sequence of courses can include at least one course from each cluster, with courses from a first cluster with a lower overall difficulty measure preceding courses in a second cluster with a higher overall difficulty measure in the sequence, wherein the starting cluster can be calculated according to the estimated level of the target user.

Implementations provide a calendar application for dynamic scheduling and adjustment of events, such as sequential training events. The calendar application is used to specify events that are to occur within a schedule of events, an order in which the events are to occur, and a duration for each event. The calendar application is also used to specify available time periods in which the events may be scheduled. Based on the specified events and available time periods, the events are scheduled into available time periods to generate a calendar, a schedule of the events that preserves the specified order of events. On detecting a change in the inputs, such as a change in the specified events and/or available time periods, the calendar may be automatically updated (in real time with respect to the change) to accommodate the change, while preserving the order and duration of events.

A system provides for collaborative training in a graphically simulated virtual reality (VR) environment by causing display, by at least one participant device, a first graphical indicium controlled by a first real-time human participant and causing display, by at least one other participant device, a second graphical controlled by a second real-time human participant. A training session is conducted via virtual interaction of the first graphical indicium and the second graphical indicium in the three dimensional virtual reality environment. The first graphical indicium is displayed in the three dimensional virtual reality environment to said second real-time human participant by said at least one participant device. The second graphical indicium is displayed in the three dimensional virtual reality environment to said first real-time human participant by said at least one other participant device.

A user relationship management system is described. The system may include a transceiver configured to receive a first user profile and a target qualification from a first user device, and a second user profile from a second user device. The system may further include a processor configured to determine that a second user qualification matches with the target qualification. The processor may be further configured to compare the first user profile and the second user profile to calculate a match score between the first user profile and the second user profile, when the second user qualification matches with the target qualification. The processor may further compare the match score with a predefined threshold and transmit the second user profile to the first user device when the match score is greater than the predefined threshold.