International Business Machines Corporation

Sesame Workshop

Aditya Sinha

Prasenjit Dey

Satyanarayana Venkata Nitta

Ravindranath Kokku

Vijay Ekambaram

Tamer E Abuelsaad

James P Gray

Jodi M Cutler

Emily Reardon

Miles Ludwig

Nick Bartzokas

Michelle Newman-Kaplan

Mohak K Sukhwani

Allison C Allain

Padmanabha Venkatagiri Seshadri

Chalapathy Venkata Neti

Bikram Sengupta

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.

Rules engine for social learning

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.

Personalized video interjections based on learner model and learning objective

Embodiments describe an approach for improving learning techniques based on a virtual augmented reality learning platform, comprising generating one or more augmented reality learning memories of one or more instructors teaching a task to one or more instructees. Creating ranking scores for the one or more augmented reality memories based on learning effectiveness of the one or more instructees. Incorporating a portion of the one or more augmented reality memories into a virtual augmented reality learning platform based on the ranking scores, and sharing the virtual augmented reality learning platform with the one or more instructees not associated with the portion of the one or more augmented reality memories.

Generating a virtual instructing platform for replicating and sharing teaching styles

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.

Evaluating user contribution in collaborative environments

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.

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Bengaluru, India

Aditya Sinha