A multi-platform social media platform, which includes an adaptive system for ranking user credibility based on feedback from other users. A user ranking corresponds to a user's initial ranking and the feedback that is provided by other users over time. The user's initial ranking is assigned by the social media platform based on the user's professional qualifications and education. The feedback provided from other users changes the user's ranking, based on whether the feedback is positive or negative. The user's rank is used as an analog for the user's credibility and the trustworthiness of content created by the user. Users of the social media platform may use a user's rank to determine whether the user is a credible source of information.

One embodiment includes a processor and a memory component coupled to the processor. The memory component stores logic that, when executed by the processor, causes the system to provide a first user interface for a trainee to practice a skill, receive a first recording from the trainee practicing the skill, provide the first recording to a trainer, and provide a second user interface for the trainer to provide comments to the first recording. In some embodiments, the logic causes the system to receive a comment from the trainer at a first section of the first recording, save the comment as a previously recorded comment, perform an analysis of the first recording to determine a feature of the interaction that corresponds to the previously recorded comment, and predict when the trainer will provide the previously recorded comment to a second section of the recording, based on the analysis of the feature.

A system and method for characterizing, selecting, ordering and rendering discrete elements of digitized video content helpful to learn or teach various skills. Each of a plurality of observed or computer-generated instances of modeling of distinguishable skills are recorded as digitized assets. Microskills are identified and deconstructed in the abstract from one or more of the visual and audible recordings of skills modeling moments. Identifiers of microskills are associated by a human editor with recorded modeling instances and/or portions thereof. Modeling presentations are dynamically generated by a user asserting one or more microskill identifiers and a network-enabled selection, ordering and rendering of portions of modeling instances that are associated with the asserted microskill identifiers.

A career planning and project collaboration system includes a portfolio profile comprising a collections of artistic works, user characteristics, fan demographic information, and existing user accomplishments, an overall score calculator for determining an overall user score from weights assigned to the existing user accomplishments by the system, a simulated score calculator for determining a simulated score from one or more of weights assigned to selected ones of the existing user accomplishments and weights assigned to added user accomplishments, a user interface for: displaying the overall user score; displaying a list of the existing user accomplishments and providing an input for the added user accomplishments from which to select for the simulated score; displaying the simulated score for the selected actual and added user accomplishments; and allowing a user to vary the selected existing and added user accomplishments and weights to change the simulated score.

Disclosed are systems, methods, and non-transitory computer-readable media for skill assessment test calibration. An assessment test calibration system presents a test question relating to a skill to a set of users of an employment services platform. The assessment test calibration system receives a set of answers provided by the users for the test question and determines a difficultly score for the test questions based on the set of answers and the profile data included in the user profiles of the set of users. The difficulty score indicates an estimated level of difficulty of the test question. The test question is presented as part of an adaptive skill assessment test administered to determine a user's proficiency in the skill. The test question is presented at a point during the adaptive skill assessment test based the difficulty score determined for the test question.

A method, a structure, and a computer system for upskill management is disclosed. The exemplary embodiments may include collecting data relating to a user experiencing content and extracting one or more features from the data. In addition, the exemplary embodiments may include applying a model to the one or more features and identifying a learning style of the user based on the applied model.

Assisted Living facility administration methods are disclosed for effectively preventing infection spread. A decentralized architecture and innovative systems including InfeXPASS™ (a certified designation of a person's health status), InfeXCON™ (a facility's real-time risk designation), a InfeXBloc™ Scorecard system (rating of facilities' implemented infection safety measures), and a InfeXSIM™ system to depict the simulation of an operating facility are provided to increase resistance to infection transmission while retaining the residential setting.

Disclosed are some implementations of systems, apparatus, methods and computer program products for implementing an electronic learning (eLearrning) system. In some implementations, an indication of a user selection by a first user of electronic learning content of an electronic learning (eLearning) system is processed, where the electronic learning content includes a learning module. Learning module is initiated or resumed. The progress of the first user in relation to completion of the learning module is tracked. An unanswered question that pertains to the learning module and that has been submitted by a second user is identified based, at least in part, on the progress of the first user in relation to the completion of the learning module. The unanswered question is then provided via a web page of the learning module for presentation via a client device of the first user.

By executing a natural language processing model on a set of natural language text describing a first engagement, a set of characteristics of the first engagement is generated. By executing the natural language processing model on a set of natural language text describing a future engagement, a set of characteristics of the future engagement is generated. The first engagement is determined to be above a threshold similarity with the future engagement. Using the skillset used in performing the first engagement, a required skillset of the future engagement is forecasted. By executing the natural language processing model on a set of natural language text describing a current skillset, a set of characteristics of the current skillset is generated. Using the required skillset of the future engagement and the set of characteristics of the current skillset, a learning path is generated.

This patent application for invention refers in general to distance learning, flexible corporate welfare benefits and smart working i.e. concerns the implementation of an e-learning/e-welfare/e-working process through a single web platform, integrated with blockchain technology and artificial intelligence, able to guide the end user in the operation in accordance with the profile with which it has been identified, traced and certified.