A computer-implemented method for employing a surgical instrument educational platform to train medical personnel to identify, characterize, and organize surgical instrumentation and surgical instrumentation trays includes selecting a level from one or more levels on a display of an electronic device, selecting a surgical category from a plurality of surgical categories, in response to selecting the surgical category, an image of a surgical instrument is displayed on the display of the electronic device and a query is made to identify the image of the surgical instrument, loading surgical instrument options to allow a user to associate the image of the surgical instrument to one of the surgical instrument options, prompting the user to select an option from the surgical instrument options, and in response to the selected option by the user, outputting a result.

A method, a computer program product, and a computer system for generating and rating assessments is disclosed. Exemplary embodiments include gathering data relating to one or more specialized subject areas and generating a knowledge base based on extracting one or more concepts from the data. Exemplary embodiments further include generating one or more questions and one or more corresponding answer keys relating to the one or more concepts, as well as generating an assessment related to the one or more concepts based on the one or more questions and one or more answer keys.

A method, a computer program product, and a computer system for generating and rating assessments is disclosed. Exemplary embodiments include gathering data relating to one or more specialized subject areas and generating a knowledge base based on extracting one or more concepts from the data. Exemplary embodiments further include generating one or more questions and one or more corresponding answer keys relating to the one or more concepts, as well as generating an assessment related to the one or more concepts based on the one or more questions and one or more answer keys.

A method includes conserving processor resources by reducing a number of exercises presented to a student by applying a set of exercises performed by the student and the student's performance on those exercises to a neural network. A respective time period for each exercise in the set of exercises is applied to the neural network wherein each time period represents an amount of time since the student performed the exercise associated with the time period. For a candidate next exercise, a likelihood of the student successfully performing the candidate next exercise is obtained from the neural network and is used to select an exercise to present to the student next.

A method includes conserving processor resources by reducing a number of exercises presented to a student by applying a set of exercises performed by the student and the student's performance on those exercises to a neural network. A respective time period for each exercise in the set of exercises is applied to the neural network wherein each time period represents an amount of time since the student performed the exercise associated with the time period. For a candidate next exercise, a likelihood of the student successfully performing the candidate next exercise is obtained from the neural network and is used to select an exercise to present to the student next.

A method executed by a computing device includes generating a virtual reality environment by detecting an illustrative asset common to first and second sets of assets. The method further includes rendering a three-dimensional (3-D) model of the illustrative asset and the first set of assets to produce 3-D frames of a first descriptive asset for issuance to a another computing device using an illustration approach. The method further includes rendering the three-dimensional (3-D) model of the illustrative asset and the second set of assets to produce 3-D frames of a second descriptive asset for issuance to the other computing device using an updated illustration approach.

A method executed by a computing device includes generating a virtual reality environment by detecting an illustrative asset common to first and second sets of assets. The method further includes rendering a three-dimensional (3-D) model of the illustrative asset and the first set of assets to produce 3-D frames of a first descriptive asset for issuance to a another computing device using an illustration approach. The method further includes rendering the three-dimensional (3-D) model of the illustrative asset and the second set of assets to produce 3-D frames of a second descriptive asset for issuance to the other computing device using an updated illustration approach.

A system and method for assisting a user in learning a target non-native language includes a processor executing instructions stored on a computer-readable medium, the executed instructions causing the processor to provide the user with an audible presentation of a word or a phrase in the target non-native language and prompting the user to audibly respond with speech data. The system captures the audible response and converts the audible response into input text data, then evaluates the text data for accuracy by comparing text characters in the text data to anticipated text data contained in a database. The system calculates the number of incorrect characters in the text data, then converts the evaluated text data into an output audio file and reads back the audio file to the user. The readback provided by the system provides audible feedback to the user regarding the accuracy of the evaluated text data.

A machine-delivered aural cloze exercise makes use of natural, connected speech and allows for a portion of the audio to be selected and obfuscated during playback, creating an aural cloze portion. The aural cloze portion is extended beyond its natural length an effective amount to make the exercise clear to the user. If the audio is accompanied by video, the video is extended uniformly during the aural cloze portion, and optionally, can also be obfuscated during the aural cloze portion.

A machine-delivered aural cloze exercise makes use of natural, connected speech and allows for a portion of the audio to be selected and obfuscated during playback, creating an aural cloze portion. The aural cloze portion is extended beyond its natural length an effective amount to make the exercise clear to the user. If the audio is accompanied by video, the video is extended uniformly during the aural cloze portion, and optionally, can also be obfuscated during the aural cloze portion.