Abstract: Providing targeted, evidence-based recommendations to improve digital content quality, in one aspect, may include partitioning digital content into a sequence of logical content modules. Quality scores for the logical content modules along a plurality of quality dimensions may be determined. User interactions with the digital content on a user interface are monitored. Raw events generated from user interaction in accessing the digital content are captured. Raw event patterns for the logical content modules are detected. The raw event patterns of user interaction are transformed into a set of dynamic states representing potential user experience and performance. The set of dynamic states are associated with a respective logical content module. The quality dimensions of the logical content modules and associated quality scores are correlated with the dynamic states.

Abstract: A computer-implemented method for a socially connectable agent. A non-limiting example of the computer-implemented method includes receiving, by a processor, input events. The method includes evaluating and enacting rules, by the processor, based on the received input events, where the rule include stochastic elements and temporal operators. The method pushes, by the processor, action events that result from the evaluation and enactment of the rules, and initiates, by the processor, action events.

Abstract: Power-efficient data collection by a personal imaging device regarding a user's interaction with an application on a mobile device by automatically switching on and off costly, power-consuming applications of the personal imaging device without the use of a radio signal. The personal imaging device detects a visual start signal displayed on the mobile device of a tagged application on the mobile device. The personal imaging device activates sensors of the personal imaging device for collecting data regarding the user's interaction with the application on the mobile device. The personal imaging device collects data regarding the user's interaction with the application on the mobile device via the activated sensors and stores the data in a repository. The personal imaging device detects a visual end signal displayed on the mobile device, ending data collection.

Abstract: Techniques for assessing the proficiency of artificial intelligence agents and users in a given knowledge domain are described. A plurality of proficiency agents can be initialized with a plurality of proficiency scores, by performing a plurality of assessments between pairs of proficiency agents selected from the plurality of proficiency agents. A first client device associated with a first user is matched with a first proficiency agent of the plurality of proficiency agents, based on a first proficiency score associated with the first user and a second proficiency score of the plurality of proficiency scores corresponding to the first proficiency agent. Assessments results of an assessment performed between the first client device and the first proficiency agent are received, and a rating system update function is used to update the first proficiency score and the second proficiency score, based on the assessment results.

Abstract: Personalized video interjections based on a learner model and a learning objective. A method for adding interjections to a video includes analyzing the content of a plurality of videos based on a set of learning objectives, selecting a video based on a learning objective, determining types of video interjections using an analytics engine that compares a learner model and the learning objective, determining a location for the video interjections using the analytics engine, generating a video interjection for each video interjection type and inserting the video interjections into the video at the determined locations.

Abstract: Providing targeted, evidence-based recommendations to improve digital content quality, in one aspect, may include partitioning digital content into a sequence of logical content modules. Quality scores for the logical content modules along a plurality of quality dimensions may be determined. User interactions with the digital content on a user interface are monitored. Raw events generated from user interaction in accessing the digital content are captured. Raw event patterns for the logical content modules are detected. The raw event patterns of user interaction are transformed into a set of dynamic states representing potential user experience and performance. The set of dynamic states are associated with a respective logical content module. The quality dimensions of the logical content modules and associated quality scores are correlated with the dynamic states.

Abstract: Methods, systems and computer program products for evaluating contributions in collaborative environments are provided herein. A computer-implemented method includes obtaining indications of tasks of a given workload that are completed by respective ones of a plurality of client devices. The method also includes identifying first and second tasks completed by first and second client devices at first and second times, determining whether the first task provides a clue for the second task and whether the second time is within a designated time window starting after the first time, and analyzing eye-gaze information to determine whether a second user of the second client device observed a first user of the first client device performing the first task. The method further comprises modifying contribution scores for the first and second users responsive to the determinations.

Abstract: Methods, systems, and computer program products for determining a personalized advertisement channel are provided herein. A computer-implemented method includes processing multiple data sources associated with a user based on data derived from multiple notification messages accessed via an operating system feature of a mobile device of the user; determining a current state in connection with a product and/or service based on said processing, wherein said current state comprises a current likelihood that the user will purchase the product and/or service; computing probabilities, conditioned on each of multiple advertisement media, that the user will transition from a first state to a second state based on said processing; and identifying one of the advertisement media to implement with the product and/or service to transition the user from the current state to a separate user state, wherein said identifying is based on (i) the current state and (ii) the multiple computed probabilities.

Abstract: Personalized video interjections based on a learner model and a learning objective. A method for adding interjections to a video includes analyzing the content of a plurality of videos based on a set of learning objectives, generating and storing educational content metadata on a timeline for the videos, selecting a video based on a user specific learning objective, determining types of video interjections using an analytics engine that compares a user learner model, the user learning objective and the metadata, determining a location for the video interjections using the analytics engine that compares the user learner model, the learning objective, the metadata and timeline, generating a video interjection for each video interjection type and inserting the video interjections into the video at the determined locations.

Abstract: Power-efficient data collection by a personal imaging device regarding a user's interaction with an application on a mobile device by automatically switching on and off costly, power-consuming applications of the personal imaging device without the use of a radio signal. The personal imaging device detects a visual start signal displayed on the mobile device of a tagged application on the mobile device. The personal imaging device activates sensors of the personal imaging device for collecting data regarding the user's interaction with the application on the mobile device. The personal imaging device collects data regarding the user's interaction with the application on the mobile device via the activated sensors and stores the data in a repository. The personal imaging device detects a visual end signal displayed on the mobile device, ending data collection.

Abstract: One embodiment provides a method, including: utilizing at least one processor to execute computer code that performs the steps of: receiving a plurality of student profiles, wherein each of the plurality of student profiles comprises a homework style comprising a pattern of activities performed by a reference student when the reference student is writing by hand, doing homework related to an identified topic; obtaining sensor information, from at least one sensor of a wearable device, the sensor information corresponding to activities performed by a student wearing the wearable device; identifying, using the sensor information, a series of activities performed by the student, wherein the identifying comprises comparing the sensor information to a plurality of models, wherein each model corresponds to an activity; determining if the series of activities corresponds to a homework style of a reference student having a profile similar to that of the student; and providing, if the series of activities do not corre

Abstract: A combination of knowledge representation and retrieval, assessments and personalization for a tutoring platform that provides an automated phased word exposition method for vocabulary learning and enable learners to learn words (or any learning objective) with sufficient proficiency and without excessive repetition. The phased learning objective method implements a moving average model that models the learner across multiple dimensions (e.g. reading, listening, writing, speaking) such that the platform is confident of the learner's understanding, while using minimal assessment doses, and such that the understanding transfers across experiences. The method implemented provides for multiple learning and assessment activities for a learning objective and leverages the same learner model for each learning dimension. Each word of a word set passes through learning and assessment-only phases for statistically significant evidence of learning.

Abstract: Power-efficient data collection by a personal imaging device regarding a user's interaction with an application on a mobile device by automatically switching on and off costly, power-consuming applications of the personal imaging device without the use of a radio signal. The personal imaging device detects a visual start signal displayed on the mobile device of a tagged application on the mobile device. The personal imaging device activates sensors of the personal imaging device for collecting data regarding the user's interaction with the application on the mobile device. The personal imaging device collects data regarding the user's interaction with the application on the mobile device via the activated sensors and stores the data in a repository. The personal imaging device detects a visual end signal displayed on the mobile device, ending data collection.

Abstract: Methods and arrangements for associating physical activities and digital activities of a user. A plurality of physical attributes of the user are collected, via mining sensor data from at least one physical state associated with the user and a plurality of digital attributes relating to at least one digital activity of the user via mining the data from a digital presence of the user. A plurality of physical attributes and digital attributes are grouped based on a similarity measure. There are stored a grouping of the physical and digital attributes at a data storage location. Other variants and embodiments are broadly contemplated herein.

Abstract: Methods, systems and computer program products for evaluating contributions in collaborative environments are provided herein. A computer-implemented method includes obtaining indications of tasks of a given workload that are completed by respective ones of a plurality of client devices. The method also includes identifying first and second tasks completed by first and second client devices at first and second times, determining whether the first task provides a clue for the second task and whether the second time is within a designated time window starting after the first time, and analyzing eye-gaze information to determine whether a second user of the second client device observed a first user of the first client device performing the first task. The method further comprises modifying contribution scores for the first and second users responsive to the determinations.

Abstract: Data representing an image is received by an image recognition system. An image recognition system generates an image classification output distribution for a plurality of image features based on analysis of the data representing the image and training data stored for the image recognition system. One or more filters are applied to the image classification output distribution to obtain an updated image classification output distribution. A highest confidence value is selected from the updated image classification output distribution. A selected image feature associated with the highest confidence value is identified from the plurality of image features. Information associated with the selected image feature is obtained from a database and communicated to the user's device by the image recognition system.

Abstract: Techniques are provided that facilitate adaptively expanding vocabulary of an entity. A computer-implemented method is provided that comprises determining, by a device operatively coupled to a processor, one or more areas of a word relationship graph that correspond to a zone of proximal vocabulary development of an entity based on one or more seed words included in a vocabulary associated with the entity. The computer-implemented method can further comprise, identifying, by the device, a set of words included the word relationship graph based on respective words in the set being associated with the one or more areas, and selecting, by the device, a subset of recommended words for learning by the entity from the set of words based on one or more criteria.

Abstract: Techniques are provided that facilitate adaptively expanding vocabulary of an entity. A computer-implemented method is provided that comprises determining, by a device operatively coupled to a processor, one or more areas of a word relationship graph that correspond to a zone of proximal vocabulary development of an entity based on one or more seed words included in a vocabulary associated with the entity. The computer-implemented method can further comprise, identifying, by the device, a set of words included the word relationship graph based on respective words in the set being associated with the one or more areas, and selecting, by the device, a subset of recommended words for learning by the entity from the set of words based on one or more criteria.

Abstract: A computer system, method, and computer readable product are provided for conveying multiple representations of a concept to a user via augmented reality, with a mechanism to easily move between these multiple representations along multiple axes. In various embodiments, an augmented reality image is generated and displayed by a computing device. The augmented reality image may then be modified in response to user input along multiple axes, such as complexity, depth, or variety of a concept being conveyed with the augmented reality image.

Abstract: A system for performing implicit assessment of a pupil is provided. The system receives a learning content from a content provider, the learning content having checkpoints at different stages of the learning content. The system associates assessment instructions with each checkpoint of the learning content. The system renders the received learning content for presentation to a pupil and captures the behaviors of the pupil during the presentation of the learning content. The system performs an assessment of the pupil at each checkpoint encountered during the rendering of the learning presentation. The assessment at a checkpoint includes using the checkpoint's associated assessment instructions to assign a score based on the captured behaviors. The system then produces an overall evaluation based on the assessments performed at the encountered checkpoints.