Patent classifications
G09B5/00
Emergency medical services and paramedic simulation and training apparatus in a transferable environment
A remotely actuated emergency medical services training apparatus designed to simulate a moving ambulance. The apparatus is comprised of a mock up of the rear of an ambulance positioned on a set of suspension parts controlled by a computer. A lower base and an upper base are connected via a set of air springs, shock absorbers, and sway braces. The upper base is connected to the mock up of the ambulance. Air springs which move the upper base relative to the lower base are controlled by a set of programmed instructions resident on the computer or manually by a joystick controller connected to the computer. Each component of the apparatus is sized to be easily transported through typically dimensioned doorways and hallways such that assembly and disassembly within the confines of a typical classroom is possible.
Enhancing learning
A system, computer implemented method, and program product comprising presenting a user with training about business processes via an interactive environment, having the user perform the training by interacting with the interactive environment, providing the user with a sales lead, having the user try to sell a product to the customer, integrating the result of the sale into the interactive environment; and revising the interactive environment based on the success or failure of the sale.
Enhancing learning
A system, computer implemented method, and program product comprising presenting a user with training about business processes via an interactive environment, having the user perform the training by interacting with the interactive environment, providing the user with a sales lead, having the user try to sell a product to the customer, integrating the result of the sale into the interactive environment; and revising the interactive environment based on the success or failure of the sale.
ARTIFICIAL INTELLIGENCE SYSTEM FOR GENERATION OF PERSONALIZED STUDY PLANS
A system for providing study plans to a user includes a topic catalog storing multiple topics and multiple keywords associated with each topic. The system also includes a plan generator configured to receive multiple sample study plans, each sample study plan having one or more resources, each resource having one or more portions, and each portion being assigned a duration. The plan generator uses the sample study plans and the topic catalog to train a topic model to identify which topics are associated with each resource, resulting in a trained topic model. The plan generator receives a profile of a student from a user, the profile having one or more selected topics the student desires to study and further having multiple preferences associated with the student. The plan generator uses the trained topic model and the profile to identify a subset of the resources that are associated with the selected topics, generates a customized study plan for the student using the subset of identified resources and the preferences, and provides the customized study plan to the user.
Skateboard System
Example embodiments may relate to a system, method, apparatus, and computer readable media configured for monitoring a user performing various athletic movements and generating performance characteristics based on the data corresponding to such athletic movements. Users may also be encouraged to participate in athletic challenges or competitions against other users or groups of users. In addition, athletic movement data for multiple persons can be collected at a central location, and subsequently displayed to a user at a desired remote location, so that the user can compare his or her athletic activities to others.
Skateboard System
Example embodiments may relate to a system, method, apparatus, and computer readable media configured for monitoring a user performing various athletic movements and generating performance characteristics based on the data corresponding to such athletic movements. Users may also be encouraged to participate in athletic challenges or competitions against other users or groups of users. In addition, athletic movement data for multiple persons can be collected at a central location, and subsequently displayed to a user at a desired remote location, so that the user can compare his or her athletic activities to others.
Systems and methods to measure performance
Methods of and systems to provide performance measurement are provided utilizing an architecture configured to efficiently merge and monitor different types of performance data. Connectors are provided to receive and translate different types of performance data from different sources. The performance data is translated into and stored in a common data model format. In some embodiments, key attributes are defined for each of the performance data sources that uniquely characterizes each relevant performance data so that is can be parsed into separate processing streams to increase system performance. The key attributes also act as cues to organize the performance data as it is being merged so that it can be accessed without requiring a specific source data linkage. Using model listeners, determinations can be quickly made regarding when performance data is changed to reduce calculations necessary to determine measure values. Some embodiments merge different types of performance data in real-time.
Systems and methods to measure performance
Methods of and systems to provide performance measurement are provided utilizing an architecture configured to efficiently merge and monitor different types of performance data. Connectors are provided to receive and translate different types of performance data from different sources. The performance data is translated into and stored in a common data model format. In some embodiments, key attributes are defined for each of the performance data sources that uniquely characterizes each relevant performance data so that is can be parsed into separate processing streams to increase system performance. The key attributes also act as cues to organize the performance data as it is being merged so that it can be accessed without requiring a specific source data linkage. Using model listeners, determinations can be quickly made regarding when performance data is changed to reduce calculations necessary to determine measure values. Some embodiments merge different types of performance data in real-time.
METHOD AND SYSTEM FOR COLLABORATIVE LEARNING
A method for educating a patient through a collaborative network is provided. The patient is authenticated with a username and a password. A request is received by a server for entry to a repository for educational design activities. Each of educational design activities includes exemplar design configurations and material lists and is configured to include photographs and written texts for other patients who have completed the associated educational design activity. A hypertext document is transmitted to the client computer—which includes the education design activities. The hypertext document is configured to be displayed through a browsing application on the client computer. A request is received by the server from the client computer for access to a selected education design activity, and access is provided to a design engine for the selected educational design activity. A design file created by the patient is then stored using the design engine.
Adaptive educational activities
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for adaptive educational activities are disclosed. In one aspect, a computer-implemented method includes receiving, by a computing device that is configured to grant a given user access to a first group of activity modules based on a classification of the given user, user data and classification data. The method includes granting the user access to a first activity module and a second activity module, and preventing the user from accessing a third activity module. The method includes receiving interaction data based on the user interacting with the first activity module, and determining that the interaction data indicates an improper classification of the user. Based on the interaction data, the method includes maintaining the classification of the user, granting the user access to a fourth activity module, and preventing the user from accessing the second activity module.