A hybrid computer-based system and method for scheduling a plan of training programs, such as flight training programs, is disclosed. A heuristic scheduler receives a plan request comprising training programs to schedule, along with a plan vector, scheduling rules, and available resources. The scheduler computes a locally optimized scheduling plan of the training schedules in the request. An evaluator evaluates one or more costs of the scheduling plan. A solver employs stochastic methodology of reordering the plan vector, in order to improve the costs. The scheduler, evaluator, and solver are employed iteratively until a globally optimized scheduling plan is determined. In some embodiments, scheduling rules are arranged in a sequence of constraint-relaxed tiers, allowing for flexibility in heuristic scheduling in light of multiple layers of constraints: validity, i.e., inviolable (hard) constraints that training schedules must meet.

An online career guidance system generates and displays superimposed polygons to a user for a corresponding career. The first polygon may have three to eight vertices, with each vertex representing a career skill. The distance from a focus to each vertex represents a career skill level predetermined to be needed for that career skill for that career. The second polygon has the same number of vertices as the first polygon that represent the same career skills and shares the same focus. The distance from the focus to each vertex of the second polygon represents a user skill level determined from previous achievements of the user. The distance between a career skill level and a user skill level (preferably both normalized to the same scale) visually represents any career skill deficits (or over qualifications) the user may have for the selected career. The online career guidance system may determine, recommend and register the user into one or more classes, clubs and/or projects that are likely to reduce or eliminate any career skill deficits of the user.

The present application discloses a system and method of online event management by using various computer implemented modules such as Registration Module, Event Module, Attendance Tracking Module and Lead Retrieval Module, all communicatively connected for seamless tracking and lead retrieval of conference attendees. More particularly, the present invention is related to a computer or machine implemented method and related system and method for carrying out an automated or machine-assisted event based lead retrieval and attendance tracking process for various events and conferences based on organization and business needs.

The present disclosure generally relates to a system and method of automated continuing education management by using various computer implemented modules such as an Continuing Education Module and an Attendance Tracking Module, all communicatively connected for seamless tracking and management of continuing education attendees, including validating and providing continuing education credits, establishing and validating qualification thresholds and creating and exporting continuing education completion certificates. More particularly, the present invention is related to a computer or machine implemented method and related system and method for carrying out an automated or machine-assisted continuing education attendance and credit tracking for various organizations and businesses.

Techniques described herein relate to executing and monitoring physical simulations within a digital credential platform. Physical simulation evaluation systems may be implemented including sensor-based monitoring systems, simulation output systems, and/or simulation environment control systems. Particular types of digital credential simulations may be determined and executed within a physical environment, during which a plurality of sensors may be used to monitor the physical actions of a credential receiver during physical simulation. The physical action data may be analyzed and compared to digital credential requirements to determine one or more digital credentials to be generated and issued to the credential receiver.

Techniques relate to managing digital credentials. Identifying data associated with a user is detected using a sensor. The identifying data associated with the user is analyzed to determine an identity of the user and a first credential receiver is determined using the identity of the user. A request for a first set of digital credentials is transmitted to a server computer hosting a digital credential repository. The request identifies the first credential receiver. A plurality of profiles are retrieved from a database storing a skill profile library. Each profile in the plurality of profiles is associated with a set of skills. For each profile in the plurality of profiles, a correlation metric between the first set of digital credentials and the set of skills associated with the profile is determined and data identifying the correlation metric for each profile is transmitted to a user device.

Techniques relate to managing digital credentials. An employee records database is accessed to identify a plurality of employees. Within the plurality of employees, a first set of employees is identified. For each employee in the first set of employees, a server computer hosting a digital credential repository is accessed to identify a plurality of digital credentials associated with the employee. The plurality of digital credentials of each employee in the first set of employees are analyzed to generate a statistical analysis of the plurality of digital credentials. With the statistical analysis complete, data identifying the statistical analysis is transmitted to a user device.

Techniques described herein relate to tracking and analyzing digital credential usage in sensor-monitored environments. A digital credential platform server may receive data identifying credential receivers, and then retrieve the digital credentials generated and issued to the credential receivers. The digital credential platform server may then determine sets of physical activities associated with the digital credentials issued to a credential receiver, and may use sensor-based monitoring systems to detect the user actions of the credential receiver and compare those actions to the physical activities associated with the credentials. Comparisons between the user actions detected for the credential receiver, and the physical activities associated with the receiver's credentials, may be used to determine re-credentialing time periods, credential expiration times, and the like.

Techniques described herein relate to generating and issuing digital credentials within a credentialing environment, including storing digital credentials with associated sensor data collected via a sensor-monitored environment. Digital credential generation systems may include sensor-based monitoring or detection systems, along with digital credential generation and issuing components. During an evaluation of a credential receiver, and generation/issuance of digital credentials to the receiver, the receiver may be monitored using various sensors. The digital credential generation system may determine and store the relevant sensor data in a digital credential storage repository associated with the particular credential receiver. The associated sensor data may serve as authentication data and/or evidence of the completion of the credential criteria by the receiver. Additionally, the stored sensor data may be automatically applied to additional digital credential criteria, to allow the system to automatically generate and issue updated and/or additional digital credentials to receivers.

Techniques described herein relate to analyzing, generating, and issuing digital credentials based on feedback associated with credential receivers. Digital credential generation systems may use sensor detection systems to monitor the user actions of the credential receiver and capture sensor data of the user during the interactive assessments and other credentialing processes. The captured sensor data then may be stored as feedback data, along with the responses from the receiver collected during the interactive assessments. Feedback data may be evaluated and used to authenticate the user, determine eligibility determinations for certain digital credentials, and the like.