Abstract: An approach is provided in which the approach converts a set of learning content into a teaching content vector representation. The approach determines a learning preference mode of a user based on a set of user responses responding to a set of learning type segments, and computes an environmental context vector representation of a physical environment surrounding the user. The approach conducts a conversation with the user based on the learning preference mode, the environmental context vector representation, and the teaching content vector representation.

Abstract: A system and method for assisted-learning with a portable computing device that includes requesting that a user complete a mathematical challenge by arranging real-world objects in an environment to form an arrangement according to the mathematical challenge, optionally receiving an input from the user that the arrangement is complete, activating a camera of a portable computing device located in the environment with the user to capture an image of the arrangement, wherein the image is received from the portable computing device over a network, evaluating the arrangement using a visual recognition engine to determine whether the arrangement successfully completes the mathematical challenge, and providing at least one of a visual feedback and an audible feedback to the user.

Abstract: Systems and methods for education instrumentation can include one or more servers configured generate a plurality of models for modeling various aspects of an education process using training data related to academic performance of students. The one or more servers can collect data from client devices associated with various education institutions or stakeholders throughout a life cycle of the education process. The one or more servers can use the generated models and the collected data to assess the addressing of education standards and predict or estimate performance metrics associated with the education process. The one or more servers can provide computed metrics or assessments of how well education standards are addressed to one or more client devices for display.

Abstract: Systems and methods for education instrumentation can include one or more servers configured generate a plurality of models for modeling various aspects of an education process using training data related to academic performance of students. The one or more servers can collect data from client devices associated with various education institutions or stakeholders throughout a life cycle of the education process. The one or more servers can use the generated models and the collected data to assess the addressing of education standards and predict or estimate performance metrics associated with the education process. The one or more servers can provide computed metrics or assessments of how well education standards are addressed to one or more client devices for display.

Abstract: Systems and methods for education instrumentation can include one or more servers configured generate a plurality of models for modeling various aspects of an education process using training data related to academic performance of students. The one or more servers can collect data from client devices associated with various education institutions or stakeholders throughout a life cycle of the education process. The one or more servers can use the generated models and the collected data to assess the addressing of education standards and predict or estimate performance metrics associated with the education process. The one or more servers can provide computed metrics or assessments of how well education standards are addressed to one or more client devices for display.

Abstract: A method and system is disclosed for validating honesty of a student taking an online test. A camera is used to detect and monitor the test taker's eye movements and eye gaze positions during the taking of the test to ensure the test taker is looking only at the computer display showing the questions and answer choices to the test taker. A microphone is incorporated into, placed on, or in the vicinity of the computer display and the system compares audio received to recorded voice of the test taker to detect another voice. Other voices and eye movement beyond the display screen may be flagged as indicative of dishonest test taking.

Abstract: Shape-matrix geometric instruments having numerous applications including, but not limited to, anti-counterfeiting, graphical passwording, games, and geometry education. A shape-matrix geometric instrument is a manufacture and/or a method whose design is based on a shape-matrix that, in turn comprises a set of building blocks that are N-dimensional polytopes. Corner shapes are positioned in or near the interior corner spaces of at least ones of the shape-matrix building blocks. At least ones of the corner shapes differ from others in at least one property or aspect including, for example, geometric shape, orientation within the building block, and one or more surface “finishes,” such as color, shading, cross-hatching or real or apparent texture.

Abstract: Systems and methods for conducting automated skills mastery assessments in an e-learning environment may include assessing learner engagements with learning resources to produce mastery assessments, using historic interaction data derived through the engagements to train machine learning algorithm(s) to forecast evaluation outcomes of engagements based on engagement patterns indicative of skill fading, imparting learning, initial level of mastery, and/or a difficulty of acquiring mastery, applying the learning algorithm(s) to historic user interactions with learning resources to produce predicted evaluation outcomes, and, based on any differences between predicted outcomes and actual outcomes, refining parameter(s) of a mastery assessment parameter set used in calculating the mastery assessments, where a portion of the parameters correspond to attribute(s) of connections between the learning resources and skills of a skill hierarchy.

Abstract: Systems and methods for education instrumentation can include one or more servers configured generate a plurality of models for modeling various aspects of an education process using training data related to academic performance of students. The one or more servers can collect data from client devices associated with various education institutions or stakeholders throughout a life cycle of the education process. The one or more servers can use the generated models and the collected data to assess the addressing of education standards and predict or estimate performance metrics associated with the education process. The one or more servers can provide computed metrics or assessments of how well education standards are addressed to one or more client devices for display.

Abstract: A system for creating educational assessments from content files using an API and inserting the educational assessments into learning programs using tokens.

Abstract: Systems and methods of automatically distilling concepts from math problems and dynamically constructing and testing the creation of math problems from a collection of math concepts comprising: providing a user interface to a user; receiving as input: a math problem; one or more math concepts; and/or a user data packet; extracting and compiling a concept cloud of one or more CLIs that comprise the mathematical concepts embodied in the input, describe the operation of the one or more math concepts, or relate to the UDP, respectively; generating one or more math problem building blocks from the concept cloud CLIs; applying a mathematical rules engine to the one or more math problem building blocks to build one or more additional math problems; and returning to the user, through the user interface, the one or more additional math problems built from the CLIs that define the concept cloud extracted from the input.

Abstract: A system for managing innovation challenges includes a computing apparatus having a processor and a memory with computer readable program code, wherein the processor under control of the computer readable program code is configured to implement, a content management system that operates to automatically generate an innovation challenge for students based on a common template that includes student eligibility requirements, a user management system that operates to collect user information, obtains parental or guardian consent, and determines individual student eligibility for specific innovation challenges, a submission management system that operates to automate ingestion, display, storage, and judging of challenge entry submissions, and a dashboard display that operates to manage innovation challenge participation.

Abstract: A method for guiding deep breathing may include receiving a request from a user to initiate a deep breathing exercise on a user-controlled device. The method may include monitoring deep breathing using one or more sensors on an ear-worn device in response to initiating the deep breathing exercise. Examples of sensors include at least one of a motion detector, a microphone, a heart rate sensor, and an electrophysiological sensor. The method may further include initiating an end to the deep breathing exercise. The method may be used with various hearing systems including an ear-worn device and optionally a user-controllable device, such as a smartphone.

Abstract: A method for improving learning comprehension regarding a lesson includes issuing a first learning illustrative model to a set of learner computing entities. The method further includes obtaining a first comprehension evaluation associated with a first learner computing entity for the first learning illustrative model. The method further includes obtaining a second comprehension evaluation associated with a second learner computing entity for the first learning illustrative model. The method further includes modifying the fundamental illustrative model to illustrate a second set of learning assets of a second learning object based on at least one of the first and second comprehension evaluations to produce a second learning illustrative model. The method further includes sending the second learning illustrative model to the set of learner computing entities.

Abstract: A method and a system for intelligent identification and correction of a question, which implements, through artificial intelligence, automatic identification of stems of various types of questions and contents of answering in test papers and auto-corrects the contents of answering. The technical solution is: to train a neural network model (e.g., CNN model) into a model for question type recognition based on numerous test paper samples in advance, and to use this trained model to detect the position of individual questions, the type corresponding to the question, the different components of the question (stem, answer, picture) in the test paper, and then to identify the printed font character information of the stem and the handwriting font character information of the answer part based on the recognition model, and finally to auto-correct based on the identified character information.

Abstract: In the existing processes for the creation and distribution of content such as question papers, there are multiple stages where human intervention is required which leads to huge scope of paper leakage and malpractice. In addition to that these processes require huge manpower and high costs for the distribution of content. A method and system for securely distributing the content in an examination has been provided. The system provides a green paper device that keep the content only accessible for a defined duration and cannot be copied or printed through any medium. The device can be used in invigilator mode as master paper device and the examination mode as receiving paper device. The system also includes a content authoring engine for securely creating or authoring content. The content is transferred from the content authoring engine to the cloud server and to master paper device in a password protected encrypted format.

Abstract: An instructional system and method for representing and solving algebraic problems. A computer-implemented method of representing and solving mathematical problems comprises providing a graphical user interface for displaying an instructional system. The instructional system comprises a primary cog having a plurality of primary cog teeth and a secondary cog having a plurality of secondary cog teeth. The secondary cog is linked to the primary cog such that a rotation of the secondary cog causes a rotation of the primary cog. The method comprises representing a mathematical problem on the graphical user interface using the instructional system. The method includes receiving an input from a user and rotating the secondary cog based on the input to cause the primary cog to also rotate. The mathematical problem is solved when a particular tooth of the plurality of primary cog teeth reaches a predefined location.

Abstract: A method for execution by a computing entity for creating a multi-disciplined learning tool regarding a topic includes obtaining a first learner approach associated with a first learner of a set of learners. The method further includes creating first lesson asset information regarding the topic for the first learner based on the first learner approach associated with the first learner. The method further includes sending the first lesson asset information to a first learner computing entity associated with the first learner.

Abstract: Systems and methods for empirical expert determination and question and answer routing are provided. They system collects location tracking data about each user and analyzes the location tracking data to empirically determine the level of expertise a particular user has for a specific venue/event or a specific geographic region at a particular scale on a map. The system receives questions about a specific venue/event or about a category of venue/event in a specific geographic region at a particular scale on a map and routes those questions in real time to one or more experts for the specific venue/event or the category of venue/event in the specific geographic region. The system receives a response to the question from at least one of the one or more experts and routes the response back to the requestor, also in real time. The system also efficiently represents the location of a plurality of venues/events and/or users within a specific geographic region on a displayed map at a plurality of scales of the map.

Abstract: A method for completing a project using a content-generating device. The method includes receiving a task defining a content item to be generated, restricting operation of at least a first component of the content-generating device, operating at least a second component of the content-generating device to generate the content item, and making available the generated content item.