Abstract:
The subject matter of this specification can be embodied in, among other things, a computer-implemented athletic performance analysis method that includes obtaining, at a computer system, first motion data reflecting motion of a sporting device during one or more drills performed by an athlete. The method also includes creating and storing action data by identifying a plurality of portions of the motion data, where each of the portions correspond to one or more actions by the athlete; comparing the action data for the athlete, with the computer system, to corresponding aggregated action data for a plurality of other athletes to determine a relative skill level for the athlete with respect to the one or more actions; and generating data for a report that reflects the relative development level of the athlete.
Abstract:
Various embodiments for prescribing electronic resources based on observational assessments are described. One example system includes a communication unit for sending and receiving data, a recommendation engine, and an assignment engine. The recommendation engine receives observation data related to a target subject, identifies one or more electronic resources that correspond to the observation data, and provides data describing the one or more electronic resources for display to an observer. The recommendation engine is coupled to the communication unit to provide the data representing the one or more electronic resources. The assignment engine receives an assignment request requesting an assignment of at least one electronic resource from the one or more electronic resources to the target subject for completion. The assignment engine also assigns the at least one electronic resource to the target subject. The assignment engine is coupled to the communication unit to receive the assignment request.
Abstract:
A method and system for creating and navigating linear hypermedia resource programs are disclosed. The system includes a distributed hypermedia resource network having a plurality of hypermedia resources residing on one or more remote information nodes. A common remote information node is in communication with a subscriber station and the remote information nodes in the distributed network. The common remote information node contains at least one linear hypermedia resource program consisting of pre-selected media elements from one or more hypermedia resources linked with exclusive linear links, each media element in the linear program having only one forward link to the next media element. The method includes the steps of downloading and displaying a media element in the linear program and responding to user commands to download and display the next media element in the linear program.
Abstract:
Particular embodiments may provide an education decision-making tool. User input comprising profile information and educational goals information for a potential student may be received. A cost-benefit assessment may be computed for each of one or more educational programs based on the profile information and the educational goals information. A return-on-investment (ROI) assessment may be computed for each of the educational programs based on the educational goals information and the cost assessment. In some embodiments, the ROI assessment for one of the educational programs may be further based on historical information (e.g., demographic information and education information) for a plurality of students. One or more of the educational programs may be selected based on the respective ROI assessments. Finally, information regarding the selected educational programs may be sent to a client computing device.
Abstract:
A presenter and an audience associated with a presentation event can be detected. The presentation event can be a real world occurrence and/or a computing session occurrence. The presenter can convey a presentation content to the audience. Presentation data associated with the presentation event can be identified. The presentation data can include the presentation content. The presentation content can include a text and/or a media. A real-time metrics associated with the presenter and the audience can be captured from one or more computing devices associated with the presenter and the audience during the presentation event. The real-time metrics can be analyzed to determine a presenter and an audience recommendation. The presenter recommendation can be presented to the presenter and the audience recommendation to an audience member.
Abstract:
Provided are a virtual class-based global citizenship incubating system and method. The system and method allow participants all over the world to perform global educational exchange among participants and instructors, among the participants, and among participant groups through a platform supporting one of a web, mobile network, social network services (SNS), cloud, and a combination thereof while overcoming a spatio-temporal limitation and include processes of matching, exchange, problem-solving, homework, evaluation, and certification.
Abstract:
A system, method, and computer-readable medium for detecting plagiarism in a set of constructed responses by accessing and pre-processing the set of constructed responses to facilitate the pairing and comparing of the constructed responses. The similarity value generated from the comparison of a pair of constructed responses serves as an indicator of possible plagiarism.
Abstract:
An auxiliary analysis system using expert information comprises a user interface and a determination module. The user interface includes a plurality of analysis items which can be triggered by a user. The determination module coupled with the user interface includes a plurality of preliminary results corresponding to the analysis items. Each of the analysis items corresponds to at least one of the preliminary results. The user selects a plurality of analysis items to generate multiple preliminary results, and the preliminary results further generate a final judgment result by an operation process.
Abstract:
Embodiments relate to authoring, consuming, and exploiting dynamically adaptive e-learning courses created using novel, embedded datagraph structures, including course macrostructures with embedded lesson microstructures and practice microstructures. For example, courses can be defined by nodes and edges of directed graph macrostructures, in which each node includes one or more directed graph microstructures for defining lesson and practice step objects of the courses. The content and attributes of the nodes and edges can adaptively manifest higher level course flow relationships and lower level lesson and practice flow relationships. Embodiments can exploit such embedded datagraph structures to facilitate dynamic course creation and increased course adaptability; improved measurement of student knowledge acquisition and retention, and of student and teacher performance; enhanced monitoring and responsiveness to student feedback; and access to, exploitation of, measurement of, and/or valuation of respective contributions; etc.
Abstract:
Embodiments of the invention provide dynamically adaptive e-learning courses built on integrated datagraph macrostructures and microstructures. For example, an e-learning course includes a number of knowledge entities, each having one or more lesson and practice components. The knowledge entities can be instantiated as nodes of a course datagraph macrostructure, linked together via edges having edge attributes that can define a course flow relationship among the knowledge entities. Each node in the datagraph macrostructure can include its own set of datagraph microstructures. For example, each knowledge entity can include lesson and/or practice datagraph microstructures that include numbers of respective step objects (e.g., lesson step objects and/or practice step objects), each associated with defined responses, and each linked (e.g., via one or more of the responses) with one or more other respective step objects via edges, thereby defining lesson and practice flow relationships among the respective step objects according to attributes of the defined responses.