The Career Bridge APP helps educators develop, facilitate, and manage, work-based learning, internship, practicum, capstone, and career preparation programs. The Career Bridge App provides users with the user-specific milestones they need to complete to be engaging and compliant within the program while gathering and storing the data needed for reporting. Most importantly, Career Bridge provides a powerful and secure communication/collaboration environment that allows students, academics and business professionals to communicate with each other in a transparent and controlled environment. Additionally, it provides business/community members who are engaged in the program the ability to rate and provide feedback on student performance and artifacts which further supports educators' efforts and student growth.

Systems, methods, and computer readable medium are provided that relate to, among other things, establishing data structures that quantify test-determined parameters related to identifying and improving core decision making skills, implementing adapters that interface with enterprise application services (and data) to identify signals relevant to the parameters from the user activity within the enterprise service, implementing in conjunction with these feature a private online workspace, and providing training through the workspace based on the signals determined from the (other) enterprise services. Signals can be automatically determined by interfaces to other enterprise application services such as email, employee feedback, employee evaluation, and other systems.

An adaptive skill development and enhancement system is presented for enhancing employee skills and competencies. Data encompassing an employee's skills, education, work history, performance, and aspirations are amassed. A machine learning algorithm analyzes the data, to establish an interpersonal affinity-behavioral matrix for use in identifying a skill gaps against a role-specific competency model. A customized learning experience, adapted to the employee's learning style as determined by the affinity-behavioral matrix, is generated and delivered through a user interface. The user interface collects feedback and performance metrics, which inform ongoing refinements to the learning content, ensuring continual alignment with the employee's development needs.

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 computer system including a processor in communication with a memory and a database may be provided. The processor may be programmed to: (i) execute a query on the database including a list of user identifiers associated with a plurality of users, (ii) receive license data associated with the user identifiers including a list of licenses and respective license renewal data associated with each user, (iii) determine, from the license data, that one or more licenses of a group of users is in a renewal period, (iv) notify each user of the group of users of the one or more licenses in the renewal period, (v) pre-populate a license renewal application for the one or more licenses in the renewal period the group of users, (vi) transmit the pre-populated application to be approved by the group of users, and (vii) receive the approved pre-populated application from the group of users.

An online job offer negotiation between a job-seeker and a plurality of prospective employers, including performing the following steps: negotiating to reach a preferred job offer bid between the job-seeker and the plurality of prospective employers; (a) submitting a respective job offer bid that includes a plurality of offer terms attributes; (b) determining a corresponding respective composite score from the plurality of offer terms attributes comprised in each respective job offer bid; (c) comparing all the corresponding respective composite scores of each respective job offer to display a winning job offer bid with a highest composite score; (d) iteratively adjusting a corresponding value to one or more offer terms attributes to at least one non-winning job offer bid; (e) repeating steps (b) to (d) to receive a final winning job offer bid; and (f) confirming acceptance of a final winning job offer bid from a winning bidding prospective employer.

A method, computer system, and computer program product are provided for performing user evaluations. An evaluation module is retrieved from a data repository. The evaluation module comprises a set of questions. Each question is presented with a number of answer choices in a graphic user interface. Each answer choice is associated with a respective confidence slider. Each confidence slider is operable to receive an input representing a user's confidence in an associated answer choice. A confidence factor is generated for each answer choice based on a position of the respective confidence slider for the associated answer choice. A weighted score is calculated for the question by scaling a question score by the confidence factor associated with a correct answer to the question. A report is generated based on the weighted score and the confidence factor associated with the correct answer.

An information processing apparatus acquires information on an operation route to operate an vehicle, extracts an operational caution from the acquired information on the operation route, acquires, from the vehicle during traveling on the operation route, measurement data measured by the vehicle and information on a near miss experienced by a crew member of the vehicle, and formulates a training plan that combines the information on the operation route, the operational caution, the measurement data, and the information on the near miss.

The technology relates generally to an interactive avatar training system. The interactive avatar training system utilizes an interactive platform that allows at least two users, such as a trainer and a trainee, to be in interactive communication in a training program. The interactive avatar training system may assist generating a processed answer or response from the trainer to the trainee so that the answer presented to the trainee has high level of accuracy. Thus, the training efficiency and accuracy may be enhanced and improved.