Abstract: Embodiments described herein involve converting written assessments into oral assessments, which may be conversational in nature. The oral assessments may be better at determining the knowledge of an assessee. Additionally, the oral assessments are less vulnerable to academic dishonesty. Embodiments also generate an answer form similar to an answer form that would be used with the written assessment, thereby allowing assessors to seamlessly continue using their practiced assessment methods. In embodiments, a computer-implemented method of examination involves processing a written assessment through a machine learning model to generate an oral assessment, which is then transmitted to an assessee. The assessee responds to the oral assessment, and the response is analyzed using the machine learning model to determine one or more answers to the written assessment. A completed answer form to the written assessment is generated using these answers.

Abstract: Cheating deterrence in electronic reality environments during a testing activity is improved over real-world anti-cheating and test monitoring by displaying and recording use of virtual scratch paper by user, such as student, that is wearing an electronic reality display device and engaged in the testing activity. A monitor of the testing activity, such as a teacher, can watch the recorded use of the virtual scratch paper by the user to help deter cheating.

Abstract: A method for displaying a virtual sub-tablet from a primary virtual tablet in an extended reality environment includes the primary virtual tablet showing a user in the virtual environment an activity or subject matter, such as an educational class subject. A virtual sub-tablet is displayed in the extended reality environment that includes complementary controls, such as tools or functions, that the user can use to interact with the activity or subject matter on the primary virtual tablet.

Abstract: A method to deter cheating by a user engaging in an examination activity in an extended reality (XR) environment includes restricting or providing access to disallowed or allowable applications, files and tools during an examination activity. The restriction or access to application, files and tools in the XR environment during the examination activity may be controlled on a question-by-question basis.

Abstract: A user with an extended reality hardware device creates and changes appearance of a digital object in extended reality environments by using voice commands including adverbs in conjunction with pointing action of a hand at location point. A representation of the digital object is retrieved for display at the location point pointed to by the user.

Abstract: Methods, systems, apparatuses, and non-transitory computer-readable media are provided for providing answer data through multiple connected large language models. Operations may include receiving, through a graphical user interface associated with a local large language model having access to a first limited private dataset but not a second limited private dataset, an input from a user device, identifying, based on the input, an external large language model from among a plurality of external large language models, transmitting the input to the external large language model, receiving, from the external large language model, the answer data responsive to the input, generating, by the local large language model, response data based on the answer data, and outputting the response data at the user device.

Abstract: Aspects of this present disclosure relate to systems and methods for dynamically updating a data structure of a group-based communication system. In one embodiment, a method is disclosed, comprising: detecting a text string with at least one digital indicator designated to automatically trigger generation of at least one removable indicator associated with the text string; generating a first removable indicator and a first graphical removal element within a first graphical user interface; generating a second removable indicator and a second graphical removal element within a second graphical user interface; detecting a single user interaction at the first graphical removal element or the second graphical removal element; and in response to detecting the single user interaction, removing both the first removable indicator from the first graphical user interface and the second removable indicator from the second graphical user interface.

Abstract: Disclosed herein are methods, systems, and computer-readable media for prompting a machine learning model to generate answer data based on a recording. Some embodiments involve preprocessing a prompt corresponding to a query for a first system by receiving the prompt and a timestamp corresponding to a time position of the query in a recording, acquiring a text transcript based on the recording, and selecting, based on the timestamp and the text transcript, a first data domain from the text transcript. Some embodiments involve transmitting at least one of the prompt, the text transcript, and the first data domain to a second system, the second system including a machine learning model. Some embodiments involve generating answer data corresponding to the prompt by querying the machine learning model with the prompt, receiving answer data from the machine learning model, and transmitting the answer data to the first system.

Abstract: Disclosed herein are methods, systems, and computer-readable media for causing a machine learning model to generate improved answer data based on an extended reality environment. In an embodiment, a method may include receiving the query, identifying at least one extended reality component associated with the extended reality environment as relating to the query, the at least one extended reality component comprising at least one of an object, a recording, or transcript information, and generating a prompt based on the query and the at least one extended reality component. The method may further include transmitting the prompt to a machine learning model, in response to the transmitted prompt, receiving answer data from the machine learning model, and based on the received answer data, generating content in the extended reality environment.

Abstract: Assistive bots, such as computer-generated avatars that do not correspond to real world persons, provide automated responses to inquiries about virtual objects and real world objects through the use of artificial intelligence to real world users seeking information in extended reality (XR) environments.

Abstract: An object in 3D extended reality (XR) environment is dynamically labelled based on each respective viewpoint of a plurality of users viewing the object in the XR environment.

Abstract: An anti-cheating method in virtual reality environments includes detecting from outside light entering a virtual reality device when a user is attempting to look outside a virtual reality device during an educational testing activity.

Abstract: A user creates and changes appearance of a digital object in extended reality environments by voice commands in conjunction pointing input and retrieving a representation of the digital object for display at a location point pointed to by the user with an artificial intelligence process communicating with a database of images or with image-generating software.

Abstract: A method for receiving a control input from a user in an extended reality (XR) environment by detecting a pointing by a user in the XR environment to a virtual object including a representation of real world physical tool or article of clothing and displaying one or more of a menu, changed attribute, activity or another virtual object in response to identifying the specific physical tool or article of clothing being pointed at by the user in extended reality.

Abstract: A method for changing display of a view of first, second and third information boards in an extended reality environment after receiving a control input from a user seeing the information boards in the extended reality environment so that the information boards are displayed adjacent to and partially surrounding the user providing the control input.

Abstract: Assistive bots, such as computer-generated avatars that do not correspond to real world persons, provide automated responses to inquiries about virtual objects and real world objects through the use of artificial intelligence to real world users seeking information in extended reality (XR) environments.

Abstract: A method for generating a virtual tablet at a left or right position of user based on a hand gesture for creation of a virtual tablet in an extended reality environment.

Abstract: A system and associated methods facilitate administration of assessments within an extended reality learning environment. Assessment recordings captured during administration of an assessment module to a first user are used for providing feedback information to the first user from a second user that can view the first user's interactions with the assessment module.